Characteristics of patients with psoriatic arthritis.
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",isbn:"978-1-80356-363-3",printIsbn:"978-1-80356-362-6",pdfIsbn:"978-1-80356-364-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"969d1c6315b04584c2f011e03dad69c2",bookSignature:"Dr. Mansoor Zoveidavianpoor",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11929.jpg",keywords:"Drilling Performance, Drilling Tools, Well Design, Drilling Procedure, Rotary Drilling, Directional Drilling, Measuring-While-Drilling, Smart Well Technology, Environment Protection, Geothermal Drilling, Sustainable Drilling Fluids, Carbon Sequestration",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 18th 2022",dateEndSecondStepPublish:"March 18th 2022",dateEndThirdStepPublish:"May 17th 2022",dateEndFourthStepPublish:"August 5th 2022",dateEndFifthStepPublish:"October 4th 2022",remainingDaysToSecondStep:"2 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Zoveidavianpoor has over 18 years of multidisciplinary oil and gas experience, built upon his technical, operational, and management roles in the industry and academia. He is a member of the Society of Petroleum Engineers (SPE), the Energy Institute, UK and is registered as a chartered petroleum engineer. He has published more than 50 publications on International peer-reviewed Journals and conferences, has contributed to 5 textbooks, and served in many scientific committees.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"92105",title:"Dr.",name:"Mansoor",middleName:null,surname:"Zoveidavianpoor",slug:"mansoor-zoveidavianpoor",fullName:"Mansoor Zoveidavianpoor",profilePictureURL:"https://mts.intechopen.com/storage/users/92105/images/system/92105.jpg",biography:"Dr. Mansoor Zoveidavianpoor has over 24 years of experience, built upon his technical, operational, and management roles in the industry and academia. Mansoor holds a BSc degree in Geology, MSc, and Ph.D. degrees both in Petroleum Engineering. He was involved in different disciplines such as project management, geology, flow assurance, piping construction, artificial intelligence, environmental engineering, drilling and production engineering, He has lectured several courses at the University Technology Malaysia (UTM), Petroleum University of Technology (PUT), and Islamic Azad University (IAU). He is a member of the Society of Petroleum Engineers (SPE) and registered as a Chartered Petroleum Engineer at Energy Institute, and EIA subject specialist at DOE Malaysia. He has published more than 50 publications on International peer-reviewed Journals and conferences, has contributed to 5 textbooks, and served in many scientific committees. Currently, he is working as an Associate Professor at UTM and involved in several consultancies in petroleum engineering and energy transition. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"18082",title:"Connecting Electroencephalography Profiles with the Gamma-Amino-Butyric Acid (GABA) Neuropathology of Autism as a Prelude to Treatment",doi:"10.5772/22405",slug:"connecting-electroencephalography-profiles-with-the-gamma-amino-butyric-acid-gaba-neuropathology-of-",body:'The nervous system has the ability to adjust in the face of disease by reorganizing its molecular, cellular, and systems function for survival through the mechanism of neuroplasticity. Recently, the National Institutes of Health Blueprint for Neuroscience Research, USA, gathered experts in various fields of neural disorders to look into the translation of neuroplasticity and circuit retraining research: the message is that the future ahead is very bright for effective clinical therapies (Cramer et al., 2011). When research studies are driven by basic science conceived alongside therapeutic disciplines designed in a congruent manner, there is the exciting potential that the innate mechanism of neuroplasticity could be shaped more precisely and more thoughtfully than is currently available. The vision for the future is patient-centered therapy aimed at the rewiring of brain circuits for successful function with long term changes in the molecular and genetic level.
The transcriptional machinery is a site where neuropathology can occur. Alterations in gamma-amino-butyric acid (GABA) through transcriptional machinery may be one of the factors that underlie the neuropathology of autism. The level of transcription via the synthesizing enzymes for GABA plus the neuroplasticity response of interneurons in the brain will be discussed in this chapter. The implication on the afferent-efferent circuitry in the cerebellum with the promising application of a neuropathological understanding of autism to treatment and behavior will be presented.
Autism is not a single disease entity. It is often referred to as autism spectrum disorder (ASD). The condition is behaviorally defined, described, and diagnosed by a triad of deficits which include the following characteristics: impaired social interaction, impaired communication, restricted interests with stereotyped and/or repetitive behaviors. Another behavioral feature is sensory input sensitivity. Autistic individuals are hypersensitive to stimuli regarding sound, light, touch, smell, temperature, and pressure. These sensations can limit the individual’s ability adapt to the regular noise and activity levels typically encountered in shopping malls, school classrooms, and other public gathering sites. Additionally, the sensory overload severely affects one’s ability to screen out noise and process relevant signals. This reactive hypersensitivity significantly impacts the family’s lifestyle as each member has to adjust to the disease manifestations on a day-to-day basis. Paradoxically, sensitivity to pain (Tordjman et al., 1999) and the ability to be sedated (Marrosu et al., 1987) may be diminished in certain autistic individuals as there exist in certain subtypes, an alteration in pain and sedation neuroreceptors.
The behavioral features of autism remain a mystery. Kanner\'s (1943) original description of autism stated that it is a disorder of "nervousness". "Nervousness" is regarded as the staunch refusal of the autistic individual to change his or her routine in order to "go with the flow. This is a common behavior that caregivers have to grapple with routinely. Both parties become frustrated as a result of the emotional intensity that is generated. A favored treatment recommendation, recognized by the health system and the public, consists of behavior modification on the part of the autistic individual (i.e., the child).
To date, preferred treatments of the neurodevelopmental disorder defined as autism are the behaviorally-oriented refinements of ABA. However, there is a paucity of data linking behavior with its neurobiological correlates that could have caused the behavior. Behavior is the final product of a cascade of events beginning with genetic and transcriptional coding of genomic information to the culmination of neurochemical transmitters which intersect on neuronal circuits in the brain to finally give rise to behavior (Figure 1). It is necessary to link the multiple systems into a hierarchy of events so that a big picture could be constructed lest we become like the legend of "the blind men and the elephant", where a group of blind men were each feeling a different part the elephant and each man came up with a different description depending on the part of the elephant he has touched. In the case of autism, each researcher- through the lense of his or her discipline- feels one part of the puzzle and assumes that one or another represents the whole.
This journey begins with a single neuro-transmitter. GABA is selected because considerable evidence points towards a hypothesis of GABA deficiency occurring in autism. For example, a reduced density of GABAA and benzodiazepine receptors in the hippocampus (Blatt et al., 2001), a reduction in the level for GABA synthesizing enzymes (GAD65 and GAD67) in the parietal and cerebellar cortex (Fatemi et al., 2002; Yip et al., 2007, 2008, 2009), and the effectiveness of the GABAA receptor agonists in treating seizure and anxiety disorders in autistic patients (Askalan et al., 2003; Acosta, 2004) reported in autistic patients all point towards a lowered GABAergic function. Genetic studies have found interstitial duplication in the chromosome 15q11.2-q13, a region containing three GABAA receptor subunits, in autism phenotypes (Schroer et al., 1998; Shao et al., 2003; Menold et al., 2001; Ashley-Koch et al., 2006).
The perturbation of GABA in autism can lead to neuropathological changes at a cellular level that resides in a particular circuit within the brain. The main components governing GABAergic neurotransmission lies in its two isoforms of synthesizing enzyme- glutamic acid decarboxylase (GAD), which are GAD65 and GAD67. GAD is the precursor through which GABA transmission is carried out. Results from our study implies that an
The hierarchy of biological systems giving rise to behavior.
The next step is to extend the study GABA dysregulation to behavior. An autistic child often finds informational input, particularly sensory data, overwhelming. Autistic children have stated that they feel as if the physical world is too difficult or confusing to handle sometimes. In short, their comfort zone is disrupted. Since one of the major brain centers of sensory information processing is located in the cerebellar circuitry, its study is beneficial in order to identify the source of their confusion. Furthermore, it is necessary to correlate the child’s brain function within one’s natural environment (i.e., home, schools, clinician\'s office) as they relate various activity states such as resting, performing a mental task, and being subjected through a bombardment of sensory input that surrounds an autistic child on a daily basis. The authors propose that through a non-invasive portable method of testing one’s brain function in the child\'s natural environment (i.e.,
GABA is a bountiful inhibitory amino acid neurotransmitter catalyzed by the enzymatic action of GAD from glutamate. GAD activity is altered in many disease states such as stiff-person syndrome (Meinck et al., 2002), epilepsy (Vianello et al., 2002), and Parkinson’s disease (Guridi et al., 1996).
GAD exists as two isoforms encoded by GAD65 and GAD67 that exist in mammals and are highly conserved. GAD67 is acted upon by coenzyme pyridoxal-5’-phosphate (Martin et al., 1991; Martin and Rimvall, 1993) for the synthesis of GABA via ribonucleic acid (RNA) regulation whereas GAD65 is constituitively expressed by a promoter regulated by coenzyme-saturation (Rimvall et al., 1993). GAD65 is considered to be mainly involved in regulated GABA synthesis. These two GAD isoforms presumably originated in vertebrates following gene duplication approximately 450 million years ago before the emergence of sharks and rays (Lariviere et al., 2002) and differ in subcellular distribution and have different roles in the regulation of GABA. The relative amounts of the isoforms expressed may reflect the functional adaptations of that particular cell. There is a third novel form of GAD, GAD3, that has been shown in certain fish species:
Martin and Rimvall (1993) first suggested that GAD65 is involved in GABA synthesis for vesicular release whereas GAD67 primarily functions in cytoplasmic GABA for metabolic purposes. Soghomonian and Martin (1998) extended this work and proposed that GAD65 synthesized most of the neuro-transmitter GABA under normal conditions. Based on the characteristic cellular localization, differing N-terminal domains, and interaction with co-factors, each isoform regulates the level of GABA. A differing role in the synthesis of GABA in the two isoforms have been observed in knock out mice studies. For example, the deletion of GAD65 gene does not significantly alter brain GABA levels in young mice (Asada et al., 1996). Contrastingly, GAD67 gene deletion resulted in mice born with low GABA contents that failed to survive due to cleft palate deficiency (Asada et al., 1997).
Studies from immunohistochemistry demonstrated considerable differences in the level of individual GAD isoform among cell types and regional brain distribution (Esclapez et al., 1993, 1994). Esclapez et al (1994) reported that the levels of GAD67 mRNA are greater than GAD65 mRNA in most brain regions. There is now reproducible evidence for a decreased expression of GAD67 mRNA in multiple brain regions such as the cortico-limbic regions of patients with schizophrenia, bipolar and major depressive disorders (Torrey et al., 2005).
GABA is involved in the development and plasticity of the postnatal nervous system (McLean et al., 1996; Pisu et al., 2004). In the human cerebellum, both GAD65 and GAD67 mRNA are strongly expressed during development yet the two isoforms differ in their timing of expression. GAD65 and GAD67 mRNA are both present by gestational week 12 (Chan et al., 1997). For GAD67, the messenger level remains high and following a slight decrease maintains its abundance for the rest of the gestational period. In contrast, GAD65 mRNA levels decreases rapidly from GW12 and becomes undetectable by GW19 (Chan et al., 1997). Despite the apparent low activity of GAD65 in subsequent fetal development, GAD65 is important in maintaining GABA levels. While both GAD65 and GAD67 maintain GABA levels
In humans, development of the visual cortex coincides with an increase in GAD65 expression. The additional GAD65 expression provides a larger pool of synaptic GAD for GABA release for the purpose of short term changes in neuronal activity (Feldblum et al., 1993; 1995) and further provides an agency for neuroplasticity. Electrophysiologically, GAD65 provides tonic inhibition and the short term effect balances more rapid fluctuation in excitation during development (Walls et al., 2010) and confers the balance between excitation and inhibition in development.
The failure of an adaptive control of GAD65 and GAD67, especially in circuits modulating emotions, may be related to defective emotional coping in times of stress. Dysregulated GAD67 have been linked to psychosis (Kalkman & Loetscher, 2003). One interesting note is that there appears to be a parallel between psychosis and autism. This is especially true in relation to aggressive behaviors such as temper tantrums, property damage, self injurious behavior, and so on. Some individuals with autism have an increase risk of hyperactive responses to emotional distress with a predisposition to acting out aggressively towards oneself and others. However, in these autistic individuals- who exhibit aggression- the relationship between emotional distress and the actual mechanism of autism is less clear. Certainly, an inherent abnormality of the GABA system could dampen the nervous systems’ ability to shut off stimuli once it has been turned on. When GABA malfunctions start at the GAD65 loci where its developmental trajectory may have been perturbed during fetal development, it could likely lead to a long standing state of reduced GABAergic inhibition and increased neuronal hyperexcitability of stimuli.
Current autism neuropathology literature shows that there is a decreased level of GAD65 and GAD67 proteins in the cerebellum (Fatemi et al., 2002). Our study revealed that there is a also a decrease (51%) in transcript level for GAD65 (GAD65 mRNA) in a select population of neurons neurons located in the dentate nuclei (i.e. the larger dentate neurons) -which projected into the thalamo-cortical circuit- compared to no change in the smaller dentate neurons- which are likely interneurons- in adult autism cases (Yip et al., 2009; figure 2 and 3). A deficiency of GAD65 in the larger dentate neuron population in the absence of a compensatory increase in neighboring GABAergic neuronal populations suggests serious deficiency in the ability of GAD65 to maintain GABA levels. To compound the GAD65 mRNA deficiency, there was a 40% reduction of GAD67 mRNA levels in PC that formed reciprocal connections to the dentate nuclei, inferior olivary complex, and the dentato-thalamic-cortical pathways; the PC is ultimately responsible for timing and gating of incoming hyperpolarizing impulse (Yip et al., 2007; figure 4). A decrease of GAD67 mRNA level in the PC of the cerebellar cortex in our subjects examined is consistent with a deficiency in the protein level of GAD67 in whole cerebellar homogenates (Fatemi et al., 2002) suggesting a direct relationship between protein and transcript level. Overall, this suggests that there is a lowered level of GAD67 in autism which can compromise the ability of neurons to maintain baseline GABA levels.
Comparison of the level of GAD65 mRNA level in the dentate nuclei in the larger versus the smaller cells. There was a statistically significant difference reduction in the level of GAD65 mRNA (
Neuroplasticity balances deficiency of GABA through the modulation of the two isoforms. For example: GAD67 in contrast to GAD65, is strongly experience driven. The activity of GAD coincides with regulation of protein and mRNA levels during intense neuronal activity: stress stimulation (Uchida et al., 2011), seizure events (Walls et al., 2010), and chronic psychotropic drug treatment (Fatemi et al., 2009). GAD67 balances the cast of inhibitory plasticity in a dynamic manner as the developing organism acquired neuronal inputs from the environment. GAD67 is important for long term regulation of phasic neuronal activity, while GAD65 is recruited during tonic activity and as needed (Walls et al., 2010).
The differential sizes of the dentate nuclei co-localize with different neurotransmitters. The larger-size dentate nuclei contains mainly GABA whereas the smaller-size dentate nuclei are GABAergic mainly as well as colocalizes GABA with Glycine in the interneuron population.
The inter-neurons in the molecular layer are agents responsive in plasticity mechanisms to balance GAD deficiency. Indeed, in the event of a GAD67mRNA decrease in PC, the authors observed a compensatory increase in basket cells in the cerebellar cortex of autistic individuals (Yip et al., 2008; figure 5). Inhibitory interneurons in the cerebellar cortex consist of basket and stellate cells (figure 6). The inhibitory nature of basket cells and stellate cells was clarified in the 1960s (Eccles et al., 1966) when antibodies became available for GAD. Each class of inhibitory interneuron contained GAD, and the synaptogenesis of these GABAergic neurons marks the differentation of basket and stellate cells (Simat et al., 2007).
Based on the study of GABA regulation described in previous sections, the authors propose a summary of a putative mechanism of "behavior in autism"- linking what is well known about the cerebellar circuitry to current understanding of behavioral output as being governed by a system of memory called long term potentiation (LTP) and long term depression (LTD) of memory. Afterall, it is the memory system that determines the behavior of an individual because each behavior is generated as a response to a pool of learned responses whether conditioned or not.
Reduction in the level of GAD67 mRNA in Purkinje cells (PC) in the autistic compared to control (
The cerebellum has a role pertaining to complex behaviors such as cognition and emotional processing that include planning and impulse control (Schmahmann, 2010; Stoodley, 2011) and is more than a motor and sensory processing device as previously believed to be. Its simple, modular structure holds the greatest promise for uncovering the “holy grail” as it relates to the neurological system. With less uncertainties, cerebellar circuitry offers a more viable model to derive an understanding of how (almost directly from molecules and cells) synapses and circuits could influence one’s behavior (i.e., learning and memory) as compared to the immense complexity of the neuronal configuration within the cerebral cortex. One of the pioneers who elaborated on the idea of cerebellar neuronal structure and its circuit connections as it related to motor learning recently expressed strong support for a plausible, if not important, role of cerebellar circuitry in the dysfunction within information processing (Ito, 2008). Specifically, perturbation of GAD in the cerebellum of our subjects with autism is presented in relation to the circuit connection according to Ito in figure 7.
The cerebellum consists of a well defined structure containing a unique, compartmental, modular structure with complex signal transduction processes in distinct cerebellar neurons. The study of neuronal circuits has attracted a great deal of interest in understanding how these specific entities operate to generate one’s mental activities and will continue to be the forefront of modern neuroscience. Factors that allow for this included an unusually well
Increased level of GAD67 mRNA in the basket cell interneurons of the cerebellar cortex in the autistic versus the control group as evidence of neuroplasticity mechanism (- p<0.0001). Speckled labeling represents GAD67-mRNA-positive cells. (
defined circuit diagram. The cerebellar circuitry is essentially composed of a relay station in the deep cerebellar nucleus (DCN) and a cortical ‘side loop’. Cerebellar output to pre-motor centers originate in the DCN which in turn are driven by direct excitatory input from the mossy fibers (MFs). Additionally, it is modulated by the inhibitory input from PC axons, which conveys computations and interactions in the PC. These computations will be performed upon a matrix of subtle and informationally rich excitatory Parallel fiber(PF) input (200,000 axons), massive and synchronous excitation produced by the one climbing fiber (CF) axon innervating each mature PC, an input from inhibitory inter-neurons. This unusual anatomical configuration inspired a model of motor learning proposed that the PF-PC synapses could provide contextual information. Additionally, the CF-PC synapses could signal an error in motor performance that required alterations of subsequent behavior, and that the conjunction of these two signals could strengthen the PF-PC synapse to create a memory trace for motor learning (Ito, 2002). Compared to other brain areas, the cerebellum has the most organized cellular arrangement consisting of PCs, basket cells, stellate cells, granule cells, and interneurons along with mossy, parallel and climbing fibers. The precision of the cerebellar circuitry has inspired numerous proposals to emulate the cerebellum as a universal learning machine (Ito, 2006, Welsh et al., 2001, Raymond et.al., 1996).
The emerging view of cerebellar circuitry pushes strongly in the direction of regarding this structure as a real-time processing device, whose output is governed strictly by the pattern of inputs received from the other nervous system areas for sensory, motor, or cognitive task
The relative location of interneurons in the cerebellar cortex. Basket cells are located at the PC layer (PCL) whereas stellate cells (SC) are locate at the PC dendritic tree. Speckled labelling represent GAD67 mRNA-positive cells.
completion (Bower, 2002). The following diagram attempts to summarize current literature views of the cerebellar circuitry in LTP and LTD. The general consensus of those in the field of LTP learning in the cerebellum is that it operates precisely upon moment-by-moment task demand that can be conditioned. Recently, using an eye-blink conditioning mode, stimulation of the mossy fibers in the cerebellum elicited a potentiation of memory, although short lasting, at the granule cell-to-PC synapse indicating and that plasticity can be induced through training in animals (D\'Angelo et al., 2005; Ohyama et al., 2010). The literature supporting plasticity changes in the brain, in particular the cerebellum, in response to conditioning is extensive (Aiba et al., 1994; Coesmans et al., 2004; Weber et al., 2003; Wadiche & Jahr, 2005) This type of plasticity conditioning has been observed mainly in animals, and may have correlates in human learning since both the substrate and the structure of the brain are the same. It may be for this reason that ABA-based treatments proved to be successful in improving the behavior of individuals with autism (Glen et al., 2005 in the Wisconsin Early Project). In this project, 24 children with autism were trained according to an early intensive behavioral treatment developed by at the University of California-Los Angeles (UCLA) and the outcomes after 4 years of treatment were that 48% of all children showed rapid learning including cognitive, language, adaptive, social, and by age 7, were succeeding in regular education classrooms. It is tempting to speculate whether training could have the effect of modifying brain circuitry and adjusting the deficient transcriptional machinery. Answering a question like this would provide substantiation to clinical professionals working with individuals so that redirection of behavior is congruent with the underlying brain (dys)function and the molecular mechanisms of the disorder, as shown in figure 1. Also, it will be an initial step into a much needed interdisciplinary collaboration between biomedical and applied behavioral research.
A diagrammatic summary of the findings on the GABAergic system in the autistic cerebellar cortex from the laboratory of Dr Gene Blatt, Boston University, in which the neurobiological work discussed was performed (some of the results not presented in this chapter). Overall, our results showed that there is a down-regulation in inhibitory GABAergic input to Purkinje cells (PCs) and a down-regulation to the dentate nuclei (CN). The resulting cascading event lies in the circuitry connection such that an overall disinhibition occurs in the cerebellar circuitry from the feedback circuit of the PC-CN and the CN to the inferior olive (IO). Ultimately, lowered inhibition will result in increased output to excitatory neurons in the cerebral cortex, which the dentate nuclei project to, since the balance between inhibition and excitation is perturbed. A background inhibitory synaptic drive in addition to the excitation is necessary to maintain normal PC output. Therefore, an altered balance of inhibition in the PCs is likely to adversely affect glutamate receptor functions essential for the normal maintenance of LTP/LTD.
The sum total of neuronal output is the balance between excitatory and inhibitory neurotransmitter signals. A reduction of inhibitory GABA signals predicts an overall perturbation of neuronal signals that favors a more "excited output which is reflected in numerous parameters of brainwave signals in autism that can be observed from infancy (Ahmadlou et al., 2010; Bosl et al., 2011). An illustration of a simple EEG tracing obtained in a preliminary study is shown in figure 9 (collaboration with Dr. Sara Davis). Briefly, the brain waves of a typical child versus an autistic child were measured using EEG during the following conditions: mathematical processing task, reading task, block building task, and at rest. Preliminary results reveal that there is a significant difference between a typical child and an autistic child during these four monitored conditions. It is interesting to note that the autistic child exhibited a tendency towards "normalization" when building the blocks as compared to the other three conditions.
The converging synaptic site of CF-PC and PF-PC on PC dendrites in the molecular layer is the location for the mediation of LTD or LTP. The components of the cerebellar circuitry belong to a larger neuronal output that is responsible for LTD by amplifying somatic responses through increasing the activity of the voltage-gated [Ca2+] channels or decreasing responses through lowering the influx of [Ca2+] into PCs. Therefore, an imbalance will occur if the ratio between LTD/LTP changes in the molecular layer. Since the granular layer (GL) is also involved in LTP in an activity-dependent manner, the granular layer LTP that is mediated through NMDA receptor activation will increase as a neuroplasticity mechanism. Abbreviations: CF, Climbing fibers; PC, Purkinje Cell; PF, Parallel fiber; LTP, long term potentiation of memory; LTD, long term depression of memory, GL, Granular layer; GC, Granule Cell
To date, many advances have been made in developing an electrophysiological recording device that is portable, reasonably accurate for documenting brainwaves, and has the ability to estimate neural activity from various brain regions. The quantitative electroencephalograph (qEEG) holds such as a promise. QEEG assessment allows to identify anomalies in brain function. QEEG maps (such as the ones shown in Figure 10 are typically constructed using
The brain waves of a typical child versus an autistic child were measured using EEG at rest and while performing three tasks: mathematical processing, reading, and block building. Preliminary results reveal that there is a significant difference between a typical child and an autistic child during these tasks. It is interesting to note that the autistic child studied exhibited a tendency towards "normalization“ in general of brain waves when building blocks as compared to the other tasks.
19 electrodes based on the International 10-20 system (Jasper, 1958). These maps are quantitative summaries of EEG characteristics such as frequency, amplitude and coherence emmitted during different conditions or tasks. Software programs along with the qEEG devices that are United States Food and Drug Administration (FDA) approved can then be used to calculate various indices of brain function such as connectivity, amplitude, phase lag, and brain performance index (Thatcher et al., 2005). One advantage of this method is that it can be widely applied, is less costly as Magnetic Resonance Imaging (MRI), and less invasive than Positron Emission Tomography (PET). Thus far, the qEEG analyses in autistic individuals showed aberrant activity in the frontal lobe (Pop-Jordanova et al., 2010).
The authors have collected qEEG brain maps for both an autistic and a control subject during resting states using the same system as Pop-Jordanova et al (2010)(i.e., BrainMaster amplifier and NeuroGuide software). Although slight individual differences are typical in qEEG measurement these maps illustrate the more fundamental disparities of brain activity in autistic individuals (Figure 10 and 11). Our aim for future studies is to connect neurological deficits to treatment regimens Further investigations will look at the effects of language and
A brain map using qEEG obtained from Brainmaster and NeuroGuide of a volunteer with autism (A) and a control (B) during eye open relaxed state.
A brain map using qEEG obtained from Brainmaster and NeuroGuide of a volunteer with autism (A) and a control (B) during eye open relaxed state.
social communication treatments on brain connectivity, combining behavioral assessment with electrophysiological measurement. Such an approach has been implemented successfully in evaluations of neurofeedback training (Pineda et al., 2008) and acupuncture treatments (Chan, 2009) with subjects mostly diagnosed as high-functioning autism. Our goal is to extend these initial efforts to a wider range of autism spectrum disorders and treatments, particularly focusing on the domains of verbal and non-verbal language and social-communication in those diagnosed with moderate to severe autism.
A widely implemented ABA-based treatment to target communication skills innon-verbal, severely autistic children is the Picture Exchange Communication System (PECS). PECS follows a manualized treatment protocol for prelinguistic communicators that involves six phases: In
An autistic child’s ability to recognize pictures is relatively intact due to preserved visuo-spatial skills (Mirenda & Brown, 2009). It is expected that successful intervention will be reflected in enhanced brain connectivity and overall gain in cognitive capacity. Additionally, it is expected that individuals who are slower to learn- and/ are unable to proceed to later PECS phases -have brain connectivity patterns that are different from their more successful counterparts, and hence could reveal both a brain and performance marker in the more challenged subtypes. QEEG data will be critical in measuring treatment effects at the neurophysiological level, individualizing treatments for participants and making refinements to the treatment protocol as necessary.
Psoriatic arthritis (PsA) is a complex musculoskeletal disorder that has the clinical features of psoriasis, peripheral arthritis, spinal involvement, enthesitis, and dactylitis [1, 2]. Typically, skin lesions precede osteoarticular lesions [1, 2, 3, 4, 5, 6], although osteoarticular lesions precede skin lesions in some cases. In these cases, the diagnosis is difficult and often results in a delay in treatment. Regardless, the appropriate management of PsA requires early diagnosis. Classification criteria of PsA (CASPAR criteria) consist of established inflammatory articular diseases with at least 3 points from the following features: current psoriasis (assigned a score of 2), a history of psoriasis (a score of 1), a family history of psoriasis (a score of 1), dactylitis (a score of 1), juxtaarticular new bone formation (a score of 1), rheumatoid factor negativity (a score of 1), and nail dystrophy (a score of 1). The CASPAR criteria have been reported to be useful in assisting clinicians in the diagnosis of PsA because of high sensitivity and specificity than any other criteria [7].
PsA in many patients is associated with obesity, diabetes, hypertension, metabolic syndrome, fatty liver, and an increased risk of cardiovascular events compared to that of the general population [8]. In a realistic orthopedic outpatient clinical setting, little is unknown about the clinical features and the treatment status in patients with PsA. Whether PsA is associated with obesity or lifestyle-related diseases remains unknown.
We investigated the clinical characteristics of PsA, such as the onset pattern of PsA, the interval between the occurrence of skin lesions and osteoarticular lesions, and the distribution of arthritis such as peripheral and axial lesions and enthesitis. In addition, we examined whether obesity, hypertension, or diabetes mellitus was significantly increased in patients with PsA. We also examined the treatment status for PsA.
This was a single-center non-interventional retrospective study that examined patients with PsA who were diagnosed by rheumatologists and dermatologists at our hospital between January 2010 and December 2018. All patients in this study satisfied the CASPAR criteria with a score of more than 3 points. A total of 64 consecutive cases were enrolled, and informed consent was obtained from each patient. This study was approved by Niigata University Medical and Dental Hospital Institutional Review Board (#2018–0418).
The patients were categorized and investigated according to the following PsA onset patterns: a skin rash that preceded the manifestations of arthritis (skin leading type), the osteoarticular lesion that preceded the manifestation of a skin rash (osteoarticular leading type), and the simultaneous onset of skin and osteoarticular symptoms (simultaneous type). For both the skin and osteoarticular leading types of PsA, we recorded the time between the presentation of the first and second symptoms. We also investigated the disease prevalence according to the lesion site, namely peripheral lesions (e.g., fingers, wrists, elbows, shoulders, toes, ankles, knees, and hips), axial lesions (e.g., cervical, thoracic, lumbar spines, and sacroiliac joint), and enthesitis (e.g., Achilles’ tendon, plantar aponeurosis, quadriceps tendon, and patellar tendon).
When arthritis symptoms were present, painful areas were evaluated by radiography, which allowed us to confirm the presence of imaging findings typical of PsA (typical peripheral joint new bone formation, sacroiliac joint bone erosions, and syndesmophytes on the sacroiliac joint or spine).
Obesity was defined as a body mass index (BMI) ≥ 25, and the prevalence of comorbidities was assessed relative to that of the general population as reported in a survey conducted by the Ministry of Health, Labor, and Welfare of Japan [9]. The incidences of obesity and hypertension, diabetes mellitus, and other diseases such as dyslipidemia and chronic kidney disease were examined.
Furthermore, we classified the patients according to the treatments they had received, such as nonsteroidal anti-inflammatory drugs (NSAIDs), conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), biological DMARDs (bDMARDs), prednisolone, and others.
The statistical analyses were performed using SPSS (Version 21, Tokyo, Japan). The Student t-test was performed for continuous variables, and Fisher’s exact probability test was performed for categorical variables. A p-value <0.05 was considered to be statistically significant.
Of the 64 patients with PsA who were enrolled, 49 were male and 15 were female patients. The patient characteristics are shown in Table 1. The mean age ± SD of the patients was 55.5 ± 12.9 years (range, 27–80 years), and the mean age at the onset of first symptoms was 36.2 ± 15.7 years (range, 3–70 years). The mean age of the onset of psoriasis (skin lesion) and the osteoarticular lesion was 36.2 years and 47.0 years, respectively. The mean time interval between the onset of skin and osteoarticular lesions was 11.3 years (range, 0–39 years). Regarding the CASPAR criteria, the percentage of confirmed items was 100% for current psoriasis, followed by rheumatoid factor negativity (92.4%), nail lesions (34.8%), juxta-articular new bone formation (25.8%), and dactylitis (16.7%); the mean CASPAR score was 3.75 points (range, 3–6 points).
Demographic and clinical characteristics (n = 64) | Value (range, %) |
---|---|
Demographic characteristics | |
Sex, male/female | 49/15 |
Age | 55.5 ± 12.9 years (27–80) |
Age at onset of symptoms | 36.2 ± 15.7 years (3–70) |
Age at psoriasis onset | 36.8 years (3–70) |
Age at arthritis onset | 47.0 years (17–75) |
The mean interval between the occurrence of skin lesion and arthritis | 11.3 years (0–39) |
CASPAR criteria | |
Current psoriasis | 64 (100) |
Dactylitis | 11 (16.7) |
Juxta-articular new bone formation | 17 (25.8) |
Rheumatoid factor negativity | 61 (92.4) |
Typical psoriatic nail lesions | 23 (34.8) |
Average score | 3.75 (3–6) |
Characteristics of patients with psoriatic arthritis.
Regarding the onset patterns of PsA, the skin leading type was dominant in 48 cases (75%), with 10 cases of the osteoarticular leading type (15.6%), followed by 6 cases of the simultaneous type (9.4%). The mean time interval between the presentation of the two different lesion types was 14.2 ± 10.2 years (range, 0.3–39.4 years) in the skin leading type and 4.5 ± 3.3 (range, 0.1–15.1 years) in the osteoarticular leading type. A statistically significant difference (p < 0.001) was observed between the two types (Table 2). In addition, no statistically significant difference was observed between the patient’s sex and age.
Timing of onset | n or years (range, %) |
---|---|
Skin leading type | 48 (75) |
Time interval between the occurrence of skin and osteoarticular lesions | 14.2 ± 10.2 years (0.3–39.4) |
Simultaneous type | 6 (9.4) |
Osteoarticular leading type | 10 (15.6) |
Time interval between the occurrence of osteoarticular and skin lesions | 4.5 ± 3.3 (0.1–15.1)* |
The onset patterns of psoriatic arthritis.
shows statistically significant difference (p < 0.0001) compared to that of the time interval between the occurrence of skin and osteoarticular lesions.
Axial joints were affected in 29% of those in the skin leading group and 60% of the patients in the osteoarticular leading group, although there was no statistically significant difference in the distribution patterns of the affected axial joints (p = 0.16). Axial lesions were observed in a total of 21 cases (53%), with the sacroiliac joints the most affected joints in 14 cases (22%), followed by the thoracic spine in 10 cases (16%), lumbar spine in 9 cases (14%), and cervical spine in 7 cases (11%) (Table 3).
The site of axial lesions | Cases | % |
---|---|---|
Cervical spine | 7 | 11 |
Thoracic spine | 10 | 16 |
Lumbar spine | 9 | 14 |
Sacroiliac joints | 14 | 22 |
Total | 21 | 33 |
The distribution pattern of axial lesions.
Peripheral joints were affected in 92% of the patients in the skin leading type and 100% of the patients in the osteoarticular leading type, without a statistically significant difference (p = 0.99). Regarding the peripheral joint lesions, 53 cases (83%) were observed in the upper extremity and 30 cases (47%) in the lower extremity. In the upper extremity, the joints that were first affected joint were the finger joints in 39 cases (61%), followed by shoulder joints in 22 cases (34%), wrist joints in 12 cases (19%), and elbow joints in 7 cases (11%). In the lower extremity, the joints that were first affected were the toe joints in 12 cases (19%), followed by knee joints in 11 cases (17%), hip joints in 7 cases (11%), and ankle joints in 4 cases (6.3%) (Table 4).
Site of peripheral lesions | Cases | % |
---|---|---|
Upper extremity | 53 | 83 |
Finger | 39 | 61 |
Wrist | 12 | 19 |
Elbow | 7 | 11 |
Shoulder | 22 | 34 |
Lower extremity | 30 | 47 |
Toe | 12 | 19 |
Ankle | 4 | 6.3 |
Knee | 11 | 17 |
Hip | 7 | 11 |
The distribution pattern of the peripheral lesions.
Enthesitis was observed in 15 of the total cases (23%). The most affected tendons were the Achilles’ and plantar tendons, both with 8 cases (13%), followed by the quadriceps tendon in 6 cases (9.4%) and patellar tendon in 2 cases (3.1%) (Table 5).
Site of enthesitis | Cases | % |
---|---|---|
Achilles’ tendon | 8 | 13 |
Plantar tendon | 8 | 13 |
Quadriceps tendon | 6 | 9.4 |
Patellar tendon | 2 | 3.1 |
Total | 15 | 23 |
The distribution pattern of enthesitis.
In our study, the prevalence of obesity was determined to be 55%. Regarding other comorbid lifestyle-related diseases, hypertension was observed in 27 cases (42%), diabetes mellitus in 12 cases (19%), dyslipidemia in 11 cases (17%), and chronic kidney disease (CKD) in 3 cases (4.7%). Diabetes mellitus was type 2 in all 12 cases. A statistically significant correlation was found between PsA and obesity (p < 0.0001). No statistically significant correlations were observed between PsA and hypertension (p = 0.43) or diabetes mellitus (p = 0.57) (Table 6).
Present study (%) | Japanese cohort in 2016 (%) | p-value | |
---|---|---|---|
Obesity (BMI ≥ 25) | 55 | 26 | < 0.001 |
Hypertension | 42 | 36 | 0.43 |
Diabetes mellitus | 19 | 15 | 0.57 |
The incidence of obesity, hypertension, and diabetes mellitus in patients with psoriatic arthritis and comparison with a Japanese cohort.
Fisher’s direct exact test was performed for each patient for obesity and concomitant diseases.
BMI, body mass index.
Table 7 shows the treatments the patients with PsA received. NSAIDs were prescribed in 25 cases (39%). Several csDMARDs were prescribed in 41 cases (64%), where 21 cases (32.8%) received methotrexate, 9 cases (14%) received salazosulfapyridine, and 3 cases (4.7%) received cyclosporine. Several bDMARDs were prescribed in 33 cases (51.5%), with the most prescribed bDMARDs being adalimumab and infliximab, which were both prescribed in 10 cases (15.6%), followed by ixekizumab in 4 cases (6.3%), etanercept and sekukinumab both in 3 cases (4.7%), and certolizumab pegol, tocilizumab, and guselkumab each prescribed in 1 case (1.6%). Other treatments included prednisolone in a single case (1.6%) and apremilast, ascorbic acid, calcium pantothenate, and biotin, each prescribed in two cases (3.1%) (Table 7).
Drug | Cases | % |
---|---|---|
Methotrexate | 21 | 32.8 |
Salazosulfapyridine | 9 | 14.0 |
Cyclosporine | 3 | 4.7 |
Others | 6 | 9.4 |
Adalimumab | 10 | 15.6 |
Infliximab | 10 | 15.6 |
Etanercept | 3 | 4.7 |
Certolizumab pegol | 1 | 1.6 |
Tocilizumab | 1 | 1.6 |
Ixekizumab | 4 | 6.3 |
Secukinumab | 3 | 4.7 |
Guselkumab | 1 | 1.6 |
1 | 1.6 | |
2 | 3.1 | |
2 | 3.1 | |
2 | 3.1 |
The treatment status for psoriatic arthritis.
bDMARDs, biologic disease modifying antirheumatic drugs; csDMARDs, conventional synthetic disease modifying antirheumatic drugs; NSAIDs, nonsteroidal anti-inflammatory drugs.
We identified several clinical features of PsA based on the results of this study. First, PsA dominantly afflicted male patients (77%), with the mean age of onset for cutaneous psoriasis at 36.8 years, while that of osteoarticular lesions at 47.0 years. Second, the skin leading type was observed more than the osteoarticular leading type, with the interval between the onset of both symptoms significantly shorter in the osteoarticular leading type than in the skin leading type. Third, upper extremity lesions were more dominant (53 cases; 83%) than lower extremity lesions (30 cases; 47%). Fourth, axial lesions were observed in 33% and enthesitis in 23% of the sample. Fifth, obesity was strongly associated with PsA. Finally, csDMARDs were the most prescribed drugs in patients with PsA, followed by bDMARDs and NSAIDs.
Regarding the onset pattern of PsA in a Japanese multicenter study, Ohara reported arthritis preceded psoriasis in 11% of patients [1]. In previous reports concerning PsA [3, 4, 5, 6], the incidences of “joint before skin” cases were between 15% and 30% of the sample. In our study, arthritis preceded skin lesions in 17%, which was in near agreement with the results of previous reports. In these cases, the lack of skin lesions makes diagnosis difficult.
Regarding the distribution of arthritis, Ritchlin reported that axial joints are affected in 50% of PsA patients [2]. In the Japanese multicenter study, back pain such as lumbago and neck pain was observed in 34.3% of patients and enthesitis in 28.3% [10, 11]. Similarly, our study showed that axial lesions were present in 33% and enthesitis in 23%.
Moreover, we checked the distribution of arthritis by the onset patterns in this study. However, there was no statistically significant difference in both peripheral and axial lesions, and it was therefore concluded that the distribution pattern was not useful for detecting PsA in the osteoarticular leading type.
The risk factors for the development of psoriasis are obesity and lifestyle-related diseases such as hypertension, diabetes mellitus, hyperlipidemia [12], with obesity-related to the severity of psoriasis [13]. A large cohort study also demonstrated that BMI was associated with psoriasis [14]. In another study, PsA showed a significant association with obesity, type 2 diabetes, hypertension, metabolic syndrome, fatty liver, and an increased risk of cardiovascular events [15].
Similarly, in our study, obesity was significantly associated with PsA; however, the other factors were not statistically significantly associated with PsA.
Regarding the treatment status, NSAIDs were effective for joint symptoms but ineffective for skin lesions. The csDMARDs were effective for arthritis and skin involvement, whereas the bDMARDs were used for patients with an inadequate response to the csDMARDs as it can suppress skin and joint inflammation and delay radiographic progression.
Despite the use of traditional disease-modifying medications in more than 50% of patients with PsA, bone erosions were still observed in 47% of patients within the first 2 years [16]. Therefore, the appropriate diagnosis of PsA and tight control are required for better clinical outcomes of PsA. According to the American College of Rheumatology recommendation for PsA in a 2019 update, non-steroidal anti-inflammatory drugs and local glucocorticoid injections are proposed as initial therapy. Further, for patients with arthritis and poor prognostic factors such as polyarthritis or monoarthritis/oligoarthritis accompanied by factors such as dactylitis or joint damage, rapid initiation of csDMARDs are recommended. If the treatment target is not achieved with this strategy, bDMARDs targeting tumor necrosis factor (TNF), interleukin (IL)-17A, or IL-12/23 should be initiated [17].
In our study, NSAIDs were used in 39% of patients, csDMARDS in 64%, and bDMARDs in 51.5%. These data suggest that skin or arthritic symptoms were moderate to high in our cases. Yamamoto et al. Demonstrated that bDMARDs were used in more than 50% of all patients registered with PsA, which is in agreement with our results [10, 11].
Our study had several limitations. First, the small sample size was a result of this study taking place at a single center. Second, the type of skin and severity of psoriasis with a Psoriasis Area and Severity Index score was not evaluated. Third, the effect of the prescribed drugs was not examined.
we clarified the clinical features of PsA in a clinical orthopedic outpatient clinic setting. PsA was more dominant in male patients, with the osteoarticular leading type pattern of PsA observed in 17% of patients, as opposed to 75% in the skin leading type pattern. The interval between the onset of osteoarticular symptoms and the appearance of skin lesions was 4.5 years on average in the osteoarticular leading type, which was significantly shorter than that in the skin leading type. It was concluded that for patients with RF negative polyarthritis, it is important to be aware that psoriasis may develop approximately 4 years on average. Increased use of csDMARDs and bDMARDs was observed compared to that of NSAIDs.
The authors acknowledge English language editing and proofreading for Editage.
None.
This study was performed with the approval of the institutional review board of our hospital.
.
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. 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HER2 gene amplification and receptor overexpression, which occur in 15–20% of breast cancer patients, are important markers for poor prognosis. Moreover, HER2-positive status is considered a predictive marker of response to HER2 inhibitors including trastuzumab and lapatinib. Therefore, reliable HER2 determination is essential to determine the eligibility of breast cancer patients to targeted anti-HER2 therapies. In this chapter, we aim to illustrate important aspects of the HER2 receptor as well as the molecular consequences of its aberrant constitutive activation in breast cancer. In addition, we will present the methods that can be used for the evaluation of HER2 status at different levels (protein, RNA, and DNA level) in clinical practice.",book:{id:"6813",slug:"cancer-prognosis",title:"Cancer Prognosis",fullTitle:"Cancer Prognosis"},signatures:"Daniela Furrer, Claudie Paquet, Simon Jacob and Caroline Diorio",authors:null},{id:"67964",doi:"10.5772/intechopen.87963",title:"Protein Tyrosine Phosphatases in Tumor Progression and Metastasis: Promoter or Protection?",slug:"protein-tyrosine-phosphatases-in-tumor-progression-and-metastasis-promoter-or-protection-",totalDownloads:897,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Reversible phosphorylation of proteins, executed by kinases and phosphatases, is the major posttranslational protein modification in eukaryotic cells, causing them to become activated or deactivated. This intracellular event represents a critical regulatory mechanism of several signaling pathways and can be related to a broad number of diseases, including cancer. Few decades ago, protein tyrosine phosphatases (PTPs) were considered as tumor suppressors. However, nowadays, accumulating evidence demonstrates that a misregulation of PTP activities plays a crucial and decisive role in cancer progression and metastasis. In this chapter, we will focus on the molecular aspects that support the crucial role of PTPs in cancer and in turn make them promising for prediction, monitoring, and rational appropriate therapy selection of individual patients.",book:{id:"8002",slug:"tumor-progression-and-metastasis",title:"Tumor Progression and Metastasis",fullTitle:"Tumor Progression and Metastasis"},signatures:"Carmen V. Ferreira-Halder, Stefano Piatto Clerici, Alessandra V. Sousa Faria, Patrícia Fernandes de Souza Oliveira, Helon Guimarães Cordeiro and Erica Akagi",authors:[{id:"61709",title:"Prof.",name:"Carmen",middleName:null,surname:"Ferreira",slug:"carmen-ferreira",fullName:"Carmen Ferreira"},{id:"307647",title:"MSc.",name:"Stefano",middleName:null,surname:"Piatto Clerici",slug:"stefano-piatto-clerici",fullName:"Stefano Piatto Clerici"},{id:"307648",title:"Ph.D. Student",name:"Alessandra",middleName:"V. S.",surname:"Faria",slug:"alessandra-faria",fullName:"Alessandra Faria"},{id:"307649",title:"MSc.",name:"Patrícia",middleName:null,surname:"Oliveira",slug:"patricia-oliveira",fullName:"Patrícia Oliveira"},{id:"307650",title:"MSc.",name:"Helon",middleName:null,surname:"Cordeiro",slug:"helon-cordeiro",fullName:"Helon Cordeiro"},{id:"307651",title:"Dr.",name:"Erica",middleName:null,surname:"Akagi",slug:"erica-akagi",fullName:"Erica Akagi"}]},{id:"55760",doi:"10.5772/intechopen.69397",title:"Exosomes and Their Role in Viral Infections",slug:"exosomes-and-their-role-in-viral-infections",totalDownloads:2360,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Exosomes are excretory nano-vesicles that are formed by the cell’s endocytic system and shed from the surface of almost all types of cells. These tiny extracellular vesicles, once thought to be “garbage bags for cells,” carry a wide variety of molecules of cellular origin, including proteins, lipids, and RNAs, that are selectively incorporated during the formation of exosomes. Exosomes are now known to play a central role in several important biological processes such as cellular communication, intercellular transfer of bioactive molecules, and immune modulation. Recent advances in the field have shown that a number of animal viruses can exploit the exosomal pathway by incorporating specific cellular or viral factors within exosomes, in order to modulate the cellular microenvironment and influence downstream processes such as host immunity and virus spread. In this chapter, we provide an overview of our current understanding of exosome biogenesis and how this normal physiological process is hijacked by some pathogenic viruses. Viral components that appear to be selectively incorporated into exosomes and the potential role of these exosomes in viral pathogenesis are discussed. Identifying viral signatures in exosomes and their mode of action is fundamental for any future diagnostic and therapeutic strategies for viral infections.",book:{id:"5793",slug:"novel-implications-of-exosomes-in-diagnosis-and-treatment-of-cancer-and-infectious-diseases",title:"Novel Implications of Exosomes in Diagnosis and Treatment of Cancer and Infectious Diseases",fullTitle:"Novel Implications of Exosomes in Diagnosis and Treatment of Cancer and Infectious Diseases"},signatures:"Gulfaraz Khan, Waqar Ahmed and Pretty S. Philip",authors:[{id:"199889",title:"Prof.",name:"Gulfaraz",middleName:null,surname:"Khan",slug:"gulfaraz-khan",fullName:"Gulfaraz Khan"},{id:"201764",title:"Mr.",name:"Waqar",middleName:null,surname:"Ahmed",slug:"waqar-ahmed",fullName:"Waqar Ahmed"},{id:"201766",title:"Ms.",name:"Pretty",middleName:null,surname:"Philip",slug:"pretty-philip",fullName:"Pretty Philip"}]}],mostDownloadedChaptersLast30Days:[{id:"60895",title:"An Overview of Cancer Treatment Modalities",slug:"an-overview-of-cancer-treatment-modalities",totalDownloads:2969,totalCrossrefCites:27,totalDimensionsCites:49,abstract:"Cancer is a global issue majorly affecting developing countries. According to a survey, 63% of deaths due to cancer are reported from developing countries. There are different conventional treatment modalities that are available to treat and manage cancer. However, new cancer treatment options are being explored continuously as over 60% of all current experimental trials worldwide are focusing on tumor cure. The success of treatment depends upon the type of cancer, locality of tumor, and its stage of progression. Surgery, radiation-based surgical knives, chemotherapy, and radiotherapy are some of the traditional and most widely used treatment options. Some of the modern modalities include hormone-based therapy, anti-angiogenic modalities, stem cell therapies, and dendritic cell-based immunotherapy. This chapter discusses different traditional and novel treatment modalities to combat different types of cancer.",book:{id:"6313",slug:"neoplasm",title:"Neoplasm",fullTitle:"Neoplasm"},signatures:"Zaigham Abbas and Sakina Rehman",authors:[{id:"214546",title:"Dr.",name:"Zaigham",middleName:null,surname:"Abbas",slug:"zaigham-abbas",fullName:"Zaigham Abbas"}]},{id:"64178",title:"Zebrafish (Danio rerio) as a Model Organism",slug:"zebrafish-em-danio-rerio-em-as-a-model-organism",totalDownloads:2711,totalCrossrefCites:4,totalDimensionsCites:24,abstract:"Animals as model organisms, the silent sentinels, stand watch over the environmental health of the world. These are non-human animal species which can be used to understand specific biological processes and to obtain informations which can provide an insight into working of other organisms. Among the model organisms, the zebrafish (Danio rerio) is one of the best leading models to study developmental biology, cancer, toxicology, drug discovery, and molecular genetics. In addition, the zebrafish is increasingly used as a genetic model organism for aquaculture species and in toxicogenomics and also to generate zebrafish disease models for application in human biomedicines. This tiny fish is a versatile model organism for many fields of research because of its easy maintenance, breeding, and transparent body during early development.",book:{id:"7054",slug:"current-trends-in-cancer-management",title:"Current Trends in Cancer Management",fullTitle:"Current Trends in Cancer Management"},signatures:"Farmanur Rahman Khan and Saleh Sulaiman Alhewairini",authors:[{id:"221847",title:"Dr.",name:"Saleh",middleName:null,surname:"Alhewairini",slug:"saleh-alhewairini",fullName:"Saleh Alhewairini"},{id:"258210",title:"Dr.",name:"Farmanur Rahman",middleName:null,surname:"Khan",slug:"farmanur-rahman-khan",fullName:"Farmanur Rahman Khan"}]},{id:"70898",title:"MicroRNA: A Signature for Cancer Diagnostics",slug:"microrna-a-signature-for-cancer-diagnostics",totalDownloads:934,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Various tools and techniques are being used for the diagnosis of cancer, but not a sole technique provides powerful result at the very early stages of cancer. This provides the need for type of tools which could detect cancer at early stages so that survival rate could be augmented. There are various diagnostic ways to identify cancer, but in each case, there are always circumstances to compromise on the sensitivity. In this framework, a new and more advanced approach of diagnosis for cancer is microRNA (miRNA). miRNAs are conserved regions among humans and animals, and their synthesis takes place in the nucleus and cytoplasm. There are several types of microRNAs that could be upregulated and downregulated in various cancers. A cancer cell could be identified by measurement of the expression pattern of miRNA. By examining the expression level for different types of cancers, miRNA can be used as biomarker for early detection of cancer in human beings.",book:{id:"9172",slug:"current-cancer-treatment",title:"Current Cancer Treatment",fullTitle:"Current Cancer Treatment"},signatures:"Ayesha Siddiqua, Sumaira Kousar, Amer Jamil, Riaz Tabassum, Tariq Mehmood and Nusrat Shafiq",authors:null},{id:"63685",title:"A Molecular Link between the Circadian Clock, DNA Damage Responses, and Oncogene Activation",slug:"a-molecular-link-between-the-circadian-clock-dna-damage-responses-and-oncogene-activation",totalDownloads:1374,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Circadian clocks enhance the efficiency and survival of living things by organizing their behavior and body functions. There has been a long history of research seeking a link between circadian clock and tumorigenesis. Studies of animal models and human tumor samples have revealed that the dysregulation of circadian clocks is an important endogenous factor causing mammalian cancer development. The core circadian clock regulators have been implicated in the control of both the cell cycle and DNA damage responses (DDR). Conversely, several intracellular signaling cascades that play important roles in regulation of the cell cycle and the DDR also contribute to circadian clock regulation. This review describes selected regulatory aspects of circadian clocks, providing evidence of a molecular link of the circadian clocks with cellular DDR.",book:{id:"7281",slug:"oncogenes-and-carcinogenesis",title:"Oncogenes and Carcinogenesis",fullTitle:"Oncogenes and Carcinogenesis"},signatures:"Yoshimi Okamoto-Uchida, Junko Izawa and Jun Hirayama",authors:[{id:"246364",title:"Prof.",name:"Jun",middleName:null,surname:"Hirayama",slug:"jun-hirayama",fullName:"Jun Hirayama"}]},{id:"67447",title:"Molecular Pathogenesis of Oral Squamous Cell Carcinoma",slug:"molecular-pathogenesis-of-oral-squamous-cell-carcinoma",totalDownloads:3728,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Oral carcinogenesis is a molecular and histological multistage process featuring genetic and phenotypic molecular markers which involves enhanced function of several protooncogenes, oncogenes and/or the deactivation of tumor suppressor genes, resulting in the over activity of growth factors and its cell surface receptors, which could enhance messenger signaling intracellularly, and/or leads to the increased production of transcription factors. Alone oncogenes are not responsible for carcinogenesis, genes having tumor suppressor activity, leads to a phenotypic change in cell which is responsible for increased cell proliferation, loss of cellular cohesion, and the ability to infiltrate local tissue and spread to distant sites. Understanding the molecular interplay of both onco and tumor genes will allow more accurate diagnosis and assessment of prognosis, which might lead the way for novel approaches to treatment.",book:{id:"8211",slug:"squamous-cell-carcinoma-hallmark-and-treatment-modalities",title:"Squamous Cell Carcinoma",fullTitle:"Squamous Cell Carcinoma - Hallmark and Treatment Modalities"},signatures:"Anshi Jain",authors:[{id:"280692",title:"Dr.",name:"Anshi",middleName:null,surname:"Jain",slug:"anshi-jain",fullName:"Anshi Jain"}]}],onlineFirstChaptersFilter:{topicId:"428",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:10,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13633",title:"Prof.",name:"Abdelhamid",middleName:null,surname:"Mellouk",slug:"abdelhamid-mellouk",fullName:"Abdelhamid Mellouk",profilePictureURL:"https://mts.intechopen.com/storage/users/13633/images/1567_n.jpg",institutionString:null,institution:{name:"Paris 12 Val de Marne University",institutionURL:null,country:{name:"France"}}},{id:"109268",title:"Dr.",name:"Ali",middleName:null,surname:"Al-Ataby",slug:"ali-al-ataby",fullName:"Ali Al-Ataby",profilePictureURL:"https://mts.intechopen.com/storage/users/109268/images/7410_n.jpg",institutionString:null,institution:{name:"University of Liverpool",institutionURL:null,country:{name:"United Kingdom"}}},{id:"3807",title:"Dr.",name:"Carmelo",middleName:"Jose Albanez",surname:"Bastos-Filho",slug:"carmelo-bastos-filho",fullName:"Carmelo Bastos-Filho",profilePictureURL:"https://mts.intechopen.com/storage/users/3807/images/624_n.jpg",institutionString:null,institution:{name:"Universidade de Pernambuco",institutionURL:null,country:{name:"Brazil"}}},{id:"38850",title:"Dr.",name:"Efren",middleName:null,surname:"Gorrostieta Hurtado",slug:"efren-gorrostieta-hurtado",fullName:"Efren Gorrostieta Hurtado",profilePictureURL:"https://mts.intechopen.com/storage/users/38850/images/system/38850.jpg",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},{id:"239041",title:"Prof.",name:"Yang",middleName:null,surname:"Yi",slug:"yang-yi",fullName:"Yang Yi",profilePictureURL:"https://mts.intechopen.com/storage/users/239041/images/system/239041.jpeg",institutionString:"Virginia Tech",institution:{name:"Virginia Tech",institutionURL:null,country:{name:"United States of America"}}}]},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13818",title:"Dr.",name:"Asim",middleName:null,surname:"Bhatti",slug:"asim-bhatti",fullName:"Asim Bhatti",profilePictureURL:"https://mts.intechopen.com/storage/users/13818/images/system/13818.jpg",institutionString:null,institution:{name:"Deakin University",institutionURL:null,country:{name:"Australia"}}},{id:"151889",title:"Dr.",name:"Joao Luis Garcia",middleName:null,surname:"Rosa",slug:"joao-luis-garcia-rosa",fullName:"Joao Luis Garcia Rosa",profilePictureURL:"https://mts.intechopen.com/storage/users/151889/images/4861_n.jpg",institutionString:null,institution:{name:"University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",institutionURL:null,country:{name:"Turkey"}}}]},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. 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He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"1177",title:"Prof.",name:"Antonio",middleName:"J. 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