The list of patients participated in the research.
\\n\\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
\n'}],latestNews:[{slug:"stanford-university-identifies-top-2-scientists-over-1-000-are-intechopen-authors-and-editors-20210122",title:"Stanford University Identifies Top 2% Scientists, Over 1,000 are IntechOpen Authors and Editors"},{slug:"intechopen-authors-included-in-the-highly-cited-researchers-list-for-2020-20210121",title:"IntechOpen Authors Included in the Highly Cited Researchers List for 2020"},{slug:"intechopen-maintains-position-as-the-world-s-largest-oa-book-publisher-20201218",title:"IntechOpen Maintains Position as the World’s Largest OA Book Publisher"},{slug:"all-intechopen-books-available-on-perlego-20201215",title:"All IntechOpen Books Available on Perlego"},{slug:"oiv-awards-recognizes-intechopen-s-editors-20201127",title:"OIV Awards Recognizes IntechOpen's Editors"},{slug:"intechopen-joins-crossref-s-initiative-for-open-abstracts-i4oa-to-boost-the-discovery-of-research-20201005",title:"IntechOpen joins Crossref's Initiative for Open Abstracts (I4OA) to Boost the Discovery of Research"},{slug:"intechopen-hits-milestone-5-000-open-access-books-published-20200908",title:"IntechOpen hits milestone: 5,000 Open Access books published!"},{slug:"intechopen-books-hosted-on-the-mathworks-book-program-20200819",title:"IntechOpen Books Hosted on the MathWorks Book Program"}]},book:{item:{type:"book",id:"20",leadTitle:null,fullTitle:"Virtual Reality",title:"Virtual Reality",subtitle:null,reviewType:"peer-reviewed",abstract:'Technological advancement in graphics and other human motion tracking hardware has promoted pushing "virtual reality" closer to "reality" and thus usage of virtual reality has been extended to various fields. The most typical fields for the application of virtual reality are medicine and engineering. The reviews in this book describe the latest virtual reality-related knowledge in these two fields such as: advanced human-computer interaction and virtual reality technologies, evaluation tools for cognition and behavior, medical and surgical treatment, neuroscience and neuro-rehabilitation, assistant tools for overcoming mental illnesses, educational and industrial uses. In addition, the considerations for virtual worlds in human society are discussed. This book will serve as a state-of-the-art resource for researchers who are interested in developing a beneficial technology for human society.',isbn:null,printIsbn:"978-953-307-518-1",pdfIsbn:"978-953-51-4532-5",doi:"10.5772/553",price:159,priceEur:175,priceUsd:205,slug:"virtual-reality",numberOfPages:688,isOpenForSubmission:!1,isInWos:1,hash:null,bookSignature:"Jae-Jin Kim",publishedDate:"January 8th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/20.jpg",numberOfDownloads:83560,numberOfWosCitations:129,numberOfCrossrefCitations:72,numberOfDimensionsCitations:168,hasAltmetrics:1,numberOfTotalCitations:369,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 7th 2010",dateEndSecondStepPublish:"May 5th 2010",dateEndThirdStepPublish:"September 9th 2010",dateEndFourthStepPublish:"October 9th 2010",dateEndFifthStepPublish:"December 8th 2010",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,editors:[{id:"14702",title:"Prof.",name:"Jae-Jin",middleName:null,surname:"Kim",slug:"jae-jin-kim",fullName:"Jae-Jin Kim",profilePictureURL:"https://mts.intechopen.com/storage/users/14702/images/1652_n.jpg",biography:"Jae-Jin Kim received the M.D. (1987) and Ph.D. (2002) degrees in psychiatry from Seoul National University, Seoul, Korea. He currently works as a professor and a chair at the Department of Psychiatry, Yonsei University Gangnam Severance Hospital, and as s director at the Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea. His research interests are to develop the virtual reality programs for improving social functions in psychiatric patients such as schizophrenia and social phobia, and to investigate the pathophysiology of social deficits using the fMRI and PET. He has published a lot of papers about virtual reality and neuroimaging, and recently won the best researcher award, Yonsei University Gangnam Severance Hospital (Oct, 2010).",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"573",title:"Virtual Computer System",slug:"virtual-computer-system"}],chapters:[{id:"12761",title:"Brain-Computer Interface Systems Used for Virtual Reality Control",doi:"10.5772/13467",slug:"brain-computer-interface-systems-used-for-virtual-reality-control",totalDownloads:3490,totalCrossrefCites:9,totalDimensionsCites:15,signatures:"Gert Pfurtscheller, Robert Leeb, Josef Faller and Christa Neuper",downloadPdfUrl:"/chapter/pdf-download/12761",previewPdfUrl:"/chapter/pdf-preview/12761",authors:[{id:"14806",title:"Dr.",name:"Gert",surname:"Pfurtscheller",slug:"gert-pfurtscheller",fullName:"Gert Pfurtscheller"}],corrections:null},{id:"12762",title:"Hapto-Acoustic Interaction Metaphors in 3D Virtual Environments for Non-Visual Settings",doi:"10.5772/13116",slug:"hapto-acoustic-interaction-metaphors-in-3d-virtual-environments-for-non-visual-settings",totalDownloads:1989,totalCrossrefCites:1,totalDimensionsCites:2,signatures:"Fabio De Felice, Floriana Renna, Giovanni Attolico and Arcangelo Distante",downloadPdfUrl:"/chapter/pdf-download/12762",previewPdfUrl:"/chapter/pdf-preview/12762",authors:[{id:"13846",title:"Dr.",name:"Floriana",surname:"Renna",slug:"floriana-renna",fullName:"Floriana Renna"},{id:"13901",title:"Dr.",name:"Giovanni",surname:"Attolico",slug:"giovanni-attolico",fullName:"Giovanni Attolico"},{id:"15132",title:"Dr.",name:"Fabio",surname:"De Felice",slug:"fabio-de-felice",fullName:"Fabio De Felice"},{id:"15133",title:"Dr.",name:"Arcangelo",surname:"Distante",slug:"arcangelo-distante",fullName:"Arcangelo Distante"}],corrections:null},{id:"13644",title:"Collaborative 3D Interaction in Virtual Environments: a Workflow-based Approach",doi:"10.5772/13013",slug:"collaborative-3d-interaction-in-virtual-environments-a-workflow-based-approach",totalDownloads:2189,totalCrossrefCites:1,totalDimensionsCites:2,signatures:"Christophe Domingues, Frederic Davesne, Malik Mallem and Samir Otmane",downloadPdfUrl:"/chapter/pdf-download/13644",previewPdfUrl:"/chapter/pdf-preview/13644",authors:[{id:"13679",title:"Dr.",name:"Samir",surname:"Otmane",slug:"samir-otmane",fullName:"Samir Otmane"},{id:"15075",title:"Dr.",name:"Christophe",surname:"Domingues",slug:"christophe-domingues",fullName:"Christophe Domingues"},{id:"15076",title:"Dr.",name:"Frederic",surname:"Davesne",slug:"frederic-davesne",fullName:"Frederic Davesne"},{id:"15077",title:"Prof.",name:"Malik",surname:"Mallem",slug:"malik-mallem",fullName:"Malik Mallem"}],corrections:null},{id:"13645",title:"Virtual Reality to Simulate Visual Tasks for Robotic Systems",doi:"10.5772/12875",slug:"virtual-reality-to-simulate-visual-tasks-for-robotic-systems",totalDownloads:2608,totalCrossrefCites:4,totalDimensionsCites:5,signatures:"Manuela Chessa, Fabio Solari and Silvio P. 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The discovery of two dimensional materials is extremely exciting due to their unique properties, resulting from the lowering of dimensionality. Physics in 2D is quite rich (e.g., high temperature superconductivity, fractional quantum Hall effect etc.) and is different from its other dimensional counterparts. A 2D material acts as the bridge between bulk 3D systems and 0D quantum dots or 1D chain materials. This can well be the building block for materials with other dimensions. The discovery of graphene, the 2D allotrope of carbon by Geim and Novoselov [1] made an enormous sensation owing to a plethora of exciting properties. They were awarded the Nobel prize in Physics in 2010. Graphene, an atomically thick C layer, has broken the jinx of impossibility of the formation of a 2D structure at a finite temperature, as argued by Landau et al.[2, 3]. The argument that a 2D material is thermodynamically unstable due to the out-of-plane thermal distortion, which is comparable to its bond length, was proven invalid with this discovery. One of the recent interests is to understand this apparent discrepancy by considering rippled structures of graphene at finite temperatures.
Graphene, with its exciting appearance, has won the crowns of the thinnest, the strongest, the most stretchable material along with extremely high electron mobility and thermal conductivity [4]. The linear dispersion curve at the Dirac point gives rise to exciting elementary electronic properties. Electrons in graphene behave like massless Dirac fermions, similar to the relativistic particles in quantum electrodynamics and hence has brought different branches of science together under a truly interdisciplinary platform. At low temperature and high magnetic field, a fascinating phenomenon, called the half integer quantum hall effect, is observed. The relativistic nature of carriers in graphene shows 100% tunneling through a potential barrier by changing its chirality. The phenomenon is known as "Klein-Paradox". Minimum conductivity of a value of conductivity quantum (e2/h per spin per valley) is measured at zero field, which makes graphene unique. "The CERN on table top" is thus a significant naming of the experiments performed with this fascinating material [5].
An infinite pristine graphene is a semi metal, i. e., a metal with zero band gap [6]. Inversion symmetry provided by P6/mmm space group results in a band degeneracy at the Dirac points (K and K’) in the hexagonal Brillouin zone (BZ). This limits its most anticipated application in electronics as the on-off current ratio becomes too small to be employed in a device. The opening of a band gap is thus essential from electronics point of view retaining a high carrier mobility. Several approaches have been already made by modifying graphene, either chemically [7, 8] or by structural confinement [9–11] to improve its application possibilities, both from theory and experiment. It should be noted that in theoretical studies, the use of density functional theory (DFT) [12] has always played an instrumental role in understanding and predicting the properties of materials, often in a quantitative way.
Boron Nitride (BN), on the other hand, can have different forms of structures like bulk hexagonal BN with sp2 bond, cubic BN with sp3 bond, analogous to graphite and diamond respectively. A 2D sheet with strong sp2 bonds can also be derived from it, which resembles its carbon counterpart, graphene. But two different chemical species in the two sublattices of BN forbid the inversion symmetry, which results in the degeneracy lifting at Dirac points in the BZ. Hexagonal BN sheet thus turns out to be an insulator with a band gap of 5.97 eV.
This opens up a possibility of alloying these neighboring elements in the periodic table to form another interesting class of materials. Possibilities are bright and so are the promises. B-N bond length is just 1.7% larger than the C-C bond, which makes them perfect for alloying with minimal internal stress. At the same time, introduction of BN in graphene, breaks the inversion symmetry, which can result in the opening up of a band gap in graphene. On top of that, the electronegativities of B, C, and N are respectively 2.0, 2.5 and 3.0 [13], which means that the charge transfer in different kinds of BCN structures is going to play an interesting role both in stability and electronic properties.
Hexagonal BNC (h-BNC) films have been recently synthesized [14] on a Cu substrate by thermal catalytic chemical vapor deposition method. For the synthesis, ammonia borane (NH3-BH3) and methane were used as precursors for BN and C respectively. In the experimental situation, it is possible to control the relative percentage of C and BN. The interesting point is that the h-BNC films can be lithographically patterned for fabrication of devices. The atomic force microscopy images indicated the formation of 2-3 layers of h-BNC. The structures and compositions of the films were characterized by atomic high resolution transmission electron microscopy and electron energy-loss spectroscopy. Electrical measurements in a four-probe device showed that the electrical conductivity of h-BNC ribbons increased with an increase in the percentage of graphene. The h-BNC field effect transistor showed ambipolar behavior similar to graphene but with reduced carrier mobility of 5-20 cm2V-1s-1. From all these detailed analysis, one could conclude that in h-BNC films, hybridized h-BN and graphene domains were formed with unique electronic properties. Therefore, one can imagine the h-BN domains as extended impurities in the graphene lattice.
The structure and composition of BN-graphene composite are important issues to consider. As mentioned before, substitution of C in graphene by B and N can give an alloyed BCN configuration. Considering the possibilities of thermodynamic non-equilibrium at the time of growth process, one can think of several ways of alloying. The potential barrier among those individual structures can be quite high and that can keep these relatively high energetic structures stable at room temperature. For example, a huge potential barrier has to be crossed to reach a phase segregated alloy from a normal alloy, which makes normal alloy stable at room temperature. Now, depending on the growth process, different types of alloying are possible. Firstly, one can think of an even mixture of boron nitride and carbon, where one C2 block is replaced by B-N. In this case, the formula unit will be BC2N. Secondly, a whole area of graphene can be replaced by boron nitride, which makes them phase separated. This we call as phase segregated alloy. The formula unit of phase segregated alloy can change depending on the percentage of doping. The final part of the following section will be devoted to the phase segregated BCN alloys. Apart from those, a distributed alloying is possible with different BN: graphene ratios.
The substitution of C2 with B-N introduces several interesting features. Firstly, B-N bond length is 1.7% bigger that C-C bond but C-B bond is 15% bigger than C-N bond. So, this is going to create intra-layer strain, which is going to affect its stability. Secondly, the difference in electro negativity in B (2.0) and N (3.0) will definitely cause a charge transfer. The orientation of charged pair B-N do have a major contribution in cohesive energy. Thirdly, as mentioned earlier, this will break inversion symmetry in graphene, which brings a significant change in electronic properties. Keeping these in mind, we are now going to discuss stability and electronic structure of BC2N.
In this section we will mainly focus on the stability issues for various BC2N structures [13, 15]. To demonstrate the factors for structural stability, we have chosen five different structures of BC2N (Fig. 1). Let’s first have a closer look at structure I. Every C atom has one C, N and B as nearest neighbors while B(N) has two Cs and one N(B) as their nearest neighbors. There is a possibility of all bonds to be relaxed, retaining the hexagonal structure. Stress is thus minimized in this structure, which helps obviously in the stability. In structure II, each C has two C and either one B or N as nearest neighbors. C2 and BN form own striped regions, which lie parallel to each other in this structure. Now C-B bond is much larger that C-C. So this is definitely going to put some internal stress. From the point of view of intra-layer stress, this structure is definitely less stable than the previous one. Looking at structure III, one can see this structure looks similar to structure I but B-N bond orientations are different. Each C atom now has either two N or B and one C in its neighboring position while N(B) has two C and one B (N) as neighbors. This obviously adds some uncompensated strain in the structure. Structure III, thus consists of two parallel C-N and C-B chains and as C-B bond length is much larger than C-N (15%), this mismatch is going to introduce a large strain in the interface. On the other hand in structure I, C-N and C-B are lined up making the structural energy lower compared to structure III. Structure IV does not contain any C-C bond. C-B and C-N chains are lined parallel to each other. Finally in structure V, B-N bonds are placed in such a way that they make 60° angle to each other. Both of the last two structures thus have uncompensated strain, which increases their structural energies.
Bond energy is another key factor in stability. When the bond energies are counted, the ordering of the bonds is the following [13]:
B – N(4.00 eV) > C – C(3.71 eV) > N – C(2.83 eV) >
B – C(2.59 eV) > B – B(2.32 eV) > N – N(2.11 eV)
The maximization of stable bonds like B-N and C-C will thus stabilize the structure as a whole. Now, a structure like II, with a striped pattern of C and B-N chains has maximum number of such bonds. This makes it most stable even though a structural strain is present. In this case bond energy wins over structural stress. For the structures like I and III, number of such bonds is equal. In that case, intra-layer stress acts as the deciding factor. Structure IV, on the other hand does not have any C-C or B-N bond but only C-B or C-N. Therefore, the issue of stability is the most prominent here. The number of strong bonds is sufficiently large in structure V for the stabilization despite of 60° arrangement of B-N bonds.
Crystal structure of different isomers of BC2N. Filled black, pink, and blue circles represent carbon, boron and nitrogen respectively.
Another important issue is the charge transfer as there is a difference between the electronegativities of B, C, and N. As mentioned earlier, N is the most electronegative and B is the least one while C behaves as a neutral atom. This also adds an ionic character in the bond formation. B (N) always gains some +ve (-ve) charges. So, the gain in the electrostatic energy only happens if these +/- charges are situated in an alternative manner. Otherwise the electrostatic repulsion makes the structure unstable. From this point of view, structures II, III, and V are more stable than the other two following the trend shown from bond energies. Thus, as reported by Itoh et al.[13], ordering of the structures will be: II>V>(I,III)>IV. Stability of other possible isomers can as well be anticipated with the same arguments.
So far we have talked about the substitutional alloying of BN and graphene, where BN to C2 ratio is 1:1. Another group of structures, which can be formed by alloying BN and grapheme is the phase segregated BCN. In this kind of structure, BN (graphene) retains its own phase, separated by graphene (BN). The experimental evidence of these kinds of structures have been shown [14]. The size of the graphene or BN phase has an impact on the stability and electronic properties. Here, the BN:C2 ratio is thus not only 1:1 but can be varied and if varied controllably, one can control the electronic properties such as band gap [16]. Lam et al.[16] have shown that, by controlling the graphene phase, one can control the band gap according to the desired values for technological applications. The phase segregated (BN)m(C2)n alloys are also found to be stable over the first kind of alloying, which indicates a transformation due to thermal vibration. Yuge et al.[17] with DFT studies and Monte Carlo simulations have shown a tendency of phase separation between BN and graphene.
a) Different steps (A-E) of phase separation process, (b) Swapping of BN and C dimers, (c) Formation energies for different steps shown in (a) for two different paths demonstrated in (b), (d) Activation energy in going from left to right configuration in the initial step of phase segregation. Reprinted with permission from Appl. Phys. Lett. 98, 022101 (2011). Copyright (2011) American Institute of Physics.
Even though a tendency is indicated, a recent calculation by Lam et al., have shown that this possibility is hindered as the activation energy required for phase segregation is extremely high. As shown in Fig. 2, they have chosen a possible path for phase separation by swapping B-N bond to C-C bonds. This kind of swapping can also happen in two ways (Fig. 2(b)). Calculated formation energies for these two process are shown in Fig. 2(c), which basically demonstrates that the intermediate structures are quite high in energy compared to evenly distributed and phase separated structures. The authors also performed nudged elastic band (NEB) calculations to determine the activation barriers for the first step to occur, i. e. to change a B-N bond to B-C and N-C bonds (Fig. 2(d)). Activation energy required is 1.63eV/atom suggesting that this process can happen only at elevated temperatures. At room temperature that is why the pristine (BN)m(C2)n should be stable and so are the phase separated ones.
There can be two different patterns for phase segregated BCN alloys. One is the phase separated island-like and the other one is a striped pattern. The island-like pattern consists of larger graphene-BN interface region than that in the striped pattern. This means that the number of B-C and N-C bonds are less in striped pattern than in an island form. As we have discussed earlier, the maximization of C-C and B-N bonds thus favors a striped pattern [13].
Till now, we have discussed mainly the stability issues of (BN)m(C2)n with 1:1 ratio and phase separated BCN alloys. A distributed mixture of BN and graphene with different m : n ratios can also form depending on the growth condition. Different isomeric structures are also possible for a particular m : n ratio. In the following section we are going to present a DFT study to analyze the stability and electronic properties of (BN)m(C2)n with different m : n ratios. Utilizing the concept of aromaticity, the aim is to find out stable isomers for a particular m : n ratio and also to explore the possibilities of achieving desired electronic properties.
Aromaticity, as extensively used to determine the stability of organic molecules, can provide us a working principle for determining stability of the structures as well. Benzene (C6H6) is the prototype for the organic molecules, which are stabilized by aromaticity. Borazine (B3N3H6), an isoelectric BN analogue of benzene on the other hand has one-third stability of benzene from the point of view of aromaticity [18–21]. This is particularly interesting in (BN)m(C2)n, as the admixture of two not only changes the electronic property but also affects its stability. To investigate a stable isomer, our first working principle thus is to maximize the carbon hexagons, which essentially mimic benzene rings. A carbon-hexagon again can be surrounded by BN and each hexagon can be kept aloof or all hexagons can form a carbon-pathway. In a carbon pathway, π-conjugation is allowed whereas it is hindered in isolated C-hexagons.
To look for reasonable isomers, we consider that the following structural possibilities will not occur. Firstly, a hexagon will not contain B and N in 1 and 3 positions with respect to each other. These kind of structures are described by zwitterionic and biradical resonance structures, which basically result in an odd number of π-electrons on two of the Cs in the hexagon (Fig. 3).
Hence, a B-N pair should be placed either in 1,4 or 1,2 position in the hexagon with respect to each other. π-electrons will thus be distributed over a C-C bond and form a resonance structure. Second kind of structural constraint, that we consider, is the absence of B-B or N-N bonds. As discussed earlier, these kind of bonds result in the lowering of π-bonds and thus decreased relative stability of an isomer.
The relative positions of B and N around an all C hexagon is also a key factor that controls the electronic properties. To illustrate the phenomenon, let’s consider the following two isomers. As in Fig. 3, the isomer I and isomer II, both have similar chemical configuration. But in Isomer I, B and N are connected to C at position 1 and 4 in the hexagon, which we can call B-ring-N para-arrangement. A donor- acceptor (D-A) interaction is thus established in this kind of structural arrangement. On the other hand in isomer II, B and N are connected to 1st & 2nd (4th & 5th) positioned C atoms in the hexagon. Although a D-A interaction occurs between neighboring B and N, B-ring-N interaction is forbidden. The local D-A interaction around a C-hexagon, as shown in Fig. 4, increases the HOMO-LUMO gap whereas N-ring-N (or B-ring-B) para arrangement results in the lowering of the HOMO-LUMO gap.
Schematic representation of zwitterionic and biradical resonance structures. Reprinted with permission from J. Phys. Chem. C 115, 10264 (2011). Copyright (2011) American Chemical Society.
We have performed density functional calculations to investigate the isomers of (BN)m(C2)n [22]. All the structures are optimized with both (Perdew-Burke-Ernzerhof) PBE [23] and (Heyd-Scuseria-Ernzerhof) HSE [24] functionals. The functionals based on local spin density approximation or generalized gradient approximations reproduce the structural parameters reasonably well, whereas the band gaps come out to be much smaller compared to experiments. The reason behind this is the self interaction error. HSE, with a better description of exchange and correlation within hybrid DFT, yields a band gap, which is much closer to the experimental value.
The degree of aromaticity is calculated quantitatively, with a harmonic oscillator model of aromaticity (HOMA) prescribed by Krygowski et al.[25]. The HOMA value of an ideal aromatic compound (Benzene) will be 1, whereas the value will be close to zero for non aromatic compounds. Anti-aromatic compound with the least stability will have a negative HOMA value. As mentioned earlier, the aim is to find the important isomers with relatively high stability and reasonable band gaps among (BN)m(C2)n compounds with m : n ratios 1:1, 2:1, 1:3 and 2:3. Let’s focus on each type separately.
We have considered six isomers for BC2N, among which two structures BC2N-I and BC2N-II consist of all C-hexagon pathways. In the third one,BC2N-III, all C-hexagons are connected linearly as in polyacenes where as the fourth one, BC2N-IV, has disconnected all-C-hexagons. The other two structures, BC2N-V & BC2N-VI do not have any all-C hexagon but BC2N-VI has at least polyacetylene paths whereas BC2N-V has only isolated C-C bonds. Although there are several other isomers possible, we limit ourselves with these and try to understand the properties with the knowledge of aromaticity and conjugation. Firstly, the first three isomers, among all six are most stable and the relative energies differ by at most 0.15 eV (PBE) and 0.07 eV (HSE). The presence of all C-hexagons connected to each other not only increases the stable C-C and B-N bonds but also helps in the π-conjugation. The result is reflected in the HOMA values of first two structures, which are 0.842 and 0.888 respectively. This suggests the formation of aromatic benzene like all-C hexagons. The HOMA value of BC2N-III is little less (0.642) but this structure in particular is not stable due to aromaticity rather due to the formation of polyacetylene paths. A slightly lower HOMA value observed in BC2N-I compared to BC2N-II is due to the difference in B-C bond (0.02Å), which leads to a change in D-A interaction.
Qualitative representation of opening up a band gap and D-A interaction in isomer I and reduction of band gap in isomer II, with molecular orbital diagrams and valence bond representation. Reprinted with permission from J. Phys. Chem. C 115, 10264 (2011). Copyright (2011) American Chemical Society.
If we look at the formation energies of BC2N-IV & BC2N-VI, the values are quite close. BC2N-IV consists of completely isolated all-C hexagons. This is the reason of having high aromaticity of 0.88. But at the same time this increases N-C & B-C bonds and restricts π-conjugation. Therefore, this structure is less probable thermodynamically. BC2N-VI, which was suggested to be the most stable BC2N structure by Liu et al.[15], on the other hand has no aromatic all C-hexagon. But this structure contains all-C polyacetylene paths with C-C bond length 1.42 Å, which explains its low formation energy. BC2N-V is the least stable among all, which has neither all-C hexagon nor polyacetylene C-paths. Obviously most unstable B-C and B-N bonds are maximized here creating an enormous strain in the structure. The presence of only C-C bond of 1.327 Å explains that. These factors make this compound thermodynamically most unstable among all five structures.
All these results give us a stand point from where we can judge the thermodynamic stability of other (BN)m(C2)n structures with the following working principles in hand:
π-Conjugation within all C path increases stability.
The formation of aromatic all C-hexagons also does the same, while this is more effective when hexagons are connected.
There is not much contribution of B-ring-B or B-ring-N arrangement of B and N around poly(para-phenylene) (PPP) path in total energies. But indeed these, as discussed earlier, will affect the band gap, which we will present in the following section.
Coming to the band gap issue, the first three structures, which are close in energy, have band gaps ranging from 1.6 to 2.3 eV in HSE calculations (0.7 to 1.7 eV in PBE). The difference in BC2N-I & BC2N-II comes from the arrangement of B and N around all-C hexagon. As discussed in Fig. 3, D-A interaction increases for para-positions (i. e.1,4 or 2,6), which is observed in BC2N-I. The band gap is 0.5 eV (0.65 eV in PBE), higher than that in BC2N-II, where B and N are oriented in ortho-position (i. e.1,2 or 4,5). Quite obviously, BC2N-III has all-C chain, which resembles a graphene nanoribbon and has the least value of the band gap.
We have investigated three structures of BCN, which have recently been synthesized [26]. The first one (BCN-I) has aromatic all-C hexagons connected in PPP path whereas the second one (BCN-III) contains all-C hexagon but connected in zigzag polyacene bonds. The final one (BCN-IV) consists of neither all-C hexagon nor a stripe of all-C region. BCN-I & BCN-II are iso-energetic, which is expected and is ~ 0.5 eV lower than BCN-IV. This again explains the importance of aromatic all-C hexagon and π-conjugation. The absence of these and also the increased B-C, N-C bonds make BCN-IV relatively unstable. Another key point in BCN-I & BCN-I is the position of B and N around the hexagon. The stability may not be affected but the band gap is definitely changed by this. As expected, from the discussion in Fig. 4, BCN-I has a quite high value of the band gap. Aromaticity is higher in BCN-I (0.846) compared to BCN-III (0.557), which is also seen in BC2N structures. Iso-energetic BCN-I & BCN-II are equally probable during growth process but with a band gap range 1.3 to 2.7 eV.
Six isomers of BC2N are considered for this study. Relative energy (per formula unit) with respect to most stable structures and band gaps (in parentheses) are shown from HSE (normal print) and PBE (italic) calculations. HOMA values of all-C hexagons, obtained from HSE calculations are also provided. Reprinted with permission from J. Phys. Chem. C 115, 10264 (2011). Copyright (2011) American Chemical Society.
We now gradually increase the C-percentage with the anticipation of lowering the band gap because of increased graphene region. Two structures of BC3N and three structures of BC6N have been examined. Both the structures of BC3N consist of aromatic hexagonal all-C rings connected in PPP path. The similarity in HOMA values depicts that picture. The position of B and N around C-ring is different though in BC3N-I and BC3N-II. The para arrangement of B-ring-N results in a large band gap in BC3N-I (2.14 eV) while the ortho arrangement of the same in BC3N-II lowers the value of the band gap. The stability is not affected by that fact as aromaticity and π-band formation are quite similar, which make those structures iso-energetic. A similar situation is also seen in BC6N structures. BC6N-I and BC6N-II are iso-energetic mainly due to a similarity in structures. Both of them contain all-C rings connected in PPP path. But in the third one (BC6N-III ), all-C rings are separated, which makes this structure relatively unstable due to restricted π-conjugation. The HOMA value is maximum (0.93) in BC6N-III, whereas the values are 0.78 and 0.86 respectively for BC6N-I and BC6N-II. The para arrangement of B-ring-N in BC6N-I and BC6N-III leads to large band gaps (1.58 and 1.34 eV respectively) while ortho-positioning of the same results in a reduced band gap in BC6N-II. Finally, we have summarized the calculated (HSE and PBE) band gaps for all (BN)m(C2)n isomers (Fig. 7A and\n\t\t\t\t\tFig. 7B). As expected, the band gaps are increased for HSE functional. Apart from that, both HSE and PBE -level calculations show a similar trend. A general trend is observed that an increase in the graphene region reduces the band gap. All the lowest energy structures for different compositions of (BN)m(C2)n have band gaps around 1 eV, which is a desired value for technological applications. One very important thing that we learnt from this study is that the position of B and N around C-ring controls the band gap without affecting the stability.
The isomers of BCN, BC3N, BC6N. Relative energy (per formula unit) with respect to most stable structures and band gaps (in parentheses) are shown from HSE (normal print) and PBE (italic) calculations. HOMA values of all-C hexagons, obtained from HSE calculations are also provided. Reprinted with permission from J. Phys. Chem. C 115, 10264 (2011). Copyright (2011) American Chemical Society.
Band gaps of different isomers of (BN)m(C2)n are plotted against BN density, obtained from both (A) HSE and (B) PBE calculations. Relative energies are given in parentheses.
Incorporation of magnetism in 2D sp-materials has been an important point of discussion in recent times. The combination of localized moments of 3d transition metal atoms and the sp electrons of the host 2D lattice can give rise to interesting magnetic properties relevant to nano devices based on the principle of magnetoresistance, for example. Ferromagnetic long-ranged order, half metallicity, large magnetic anisotropy, electric field driven switching of magnetization etc. are being studied for transition metal atoms adsorbed on graphene and 2D BN sheets. Another important point is the adsorption of these species at the interface between BN and graphene. Arecent study [27] based on first principles electronic structure calculations has revealed some interesting electronic and magnetic properties of Fe, Co and Ni adatoms adsorbed on a h-BC2N sheet. A hexagonal site at the interface between BN and graphene turns out to be a favorable site for adsorption. The presence of Fe, Co and Ni makes the system a magnetic semiconductor, a magnetic semi-metal and a non magnetic semiconductor respectively. Another interesting observation was that the adatoms are highly mobile on the surface and hence have the possibility to have a clustered configuration among themselves. It is interesting to note that the properties of this hybrid system are tunable in the sense that they can be modified by having different combinations of the width of each subsystem, BN and graphene.
Not only by magnetic adatoms, but by intrinsic edge properties, one can render magnetism in these 2D sheets. By DFT calculations, Dutta et al. [28] predicted interesting magnetic properties of H-passivated zigzag nanoribbons (ZGNRs) of various widths, doped by boron and nitrogen, keeping the whole system isoelectronic with C atoms in graphene. In the extreme case, all C atoms of ZGNRs are replaced by B and N atoms and zigzag BN nanoribbons are formed. In the ground state, the two edges are antiferromagnetically coupled and remain so for all dopings. However, the application of an external electric field affects the electronic structure of the nanoribbon giving rise to semiconducting and half-metallic properties. Electric-field induced changes in the magnetic properties are very interesting from a technological point of view. Other related studies [29] based on DFT revealed energetics, electronic structure and magnetism of quantum dots and nanorods of graphene embedded in BN sheet. It was showed that the formation energies and the HOMO-LUMO gaps of quantum dots vary as
Adsorption of gases on 2D materials is an important topic from the technological and environmental points of view. Materials for clean energy are always sought for and in this respect, efficient hydrogen uptake of suitable materials is an important issue. Raidongia et al. [26] have studied H2 adsorption on BCN at 77 K and 1 atm. pressure. From their experiments, H2 uptake of 2.6 wt % was observed. Also, CO2 adsorption is very important for environmental issues. In their study, BCN was found to have a very high CO2 uptake of 100 wt % at 195 K and 1 atm. pressure. It should be noted that the uptake is only 58 % by the activated charcoal under identical conditions. At room temperature and 40 bar pressure, the CO2 uptake was found to be 44 wt %.
In a recent theoretical study, Cao et al. [30] showed that a zigzag interface between BN and graphene can have a strong capability of adsorbing hydrogen, much stronger than pure graphene, BN or the armchair interface between them. Moreover, the adsorption of hydrogen induces a semiconductor to metal transition. As the mobility of hydrogen on the surface is rather high, the hydrogen atoms can migrate to the zigzag interface and hence will increase the density of hydrogen storage with the added functionality of band gap engineering.
Graphene-BN nanocomposites offer a huge potential in various technological sectors, e.g., nano electronics, gas sensing, hydrogen storage, nanomagnetic storage devices, to name a few. The unique combination of these two materials with different electronic properties, forming a 2D network, offers many possibilities for studying fundamental science and applications for nanotechnology. However, many challenges, both in the domains of experiment and theory, will come in the way. Experimental synthesis of samples of good quality and state-of-the-art characterization techniques to reveal the atomic scale physics will be the issues. From the point of view of theory, one faces difficulties in having a correct description of the band gaps and electronic structures in standard approximations of materials-specific theories. However, with the availability of powerful supercomputing facilities, it is nowadays possible to treat large systems by sophisticated many body theories to have a much better quantitative descriptions. Nevertheless, one may envisage many interesting directions for the applications of these nanocomposites to utilize the interface properties of BN and graphene. One of them is the spin switching properties of organometallics adsorbed at the interface, similar to what has been studied recently [31] for a 2D graphene sheet. The other application can be the adsorption of amino acids [32] at the interface to increase the activity by their immobilization. Hopefully, in near future, we will observe many applications of these nanocomposites, useful for the human society.
According to the World Health Organization, there are an estimated 657,000 new cases of oral cavity and pharyngeal cancers each year, and more than 330,000 death [1]. In high-risk countries such as Sri Lanka, India, Pakistan and Bangladesh, oral cancer is the most common cancer in men, and may contribute up to 25% of all new cases of cancer [2].
Oral cancers can occur on the lip or in the oral cavity, nasopharynx, and pharynx. It belongs to a larger group of cancers called head and neck cancers. Usually, oral cancer is first treated with surgery. In most cases, surgery is followed by radiation therapy and chemotherapy [3, 4, 5].
During the jaw bone excision in oral cancer surgery, we commonly find that the adjacent masticatory muscle, tendon tissue, and peripheral nerves are known to be included in the disease field. However, oral cancer patients who underwent resection surgery can suffer from eating and swallowing dysfunctions, owing to the masticatory muscle’s excision, even when bone grafts obtain a morphological recovery [6].
In the postoperative period, most patients complain of immobility at the onset of jaw movement.
We predict that one cause is a disorder associated with the preparatory stage of the onset of voluntary jaw movement in the patients, leading to difficulty masticating and swallowing.
Jaw motor dysfunctions may be related either to the mandibular bone and teeth’ defects or some brain functions’ modulation after surgery.
Movement-related cortical potential (MRCP) is a slow negative potential in an electroencephalographic recording that occurs about 2 s before voluntary body movement production in humans [7].
In general, MRCP consists of two main components: Bereitschaftspotential (BP) and negative slope. From extensive studies, the current model is that BP starts first in the SMA, including the pre-SMA, and then shortly after that in the lateral premotor cortices bilaterally [8, 9]. About 400 msec before the movement onset, NS’ starts in M1 and the premotor cortex mainly. MRCPs are also generated from the cerebellum as subcortical structures [10].
This potential is well known to reflect the cortical processes involved in movement planning and movement preparation preceding voluntary limb and maxillofacial movements [11, 12, 13, 14, 15, 16].
In this study, we observed changes in MRCP waveform components associated with jaw-biting movements in oral cancer patients before and after surgical excision of their lesions. The purpose of this study was to investigate whether brain activities, as measured by MRCP recordings, are affected by the loss of neurological tissue in patients with oral cancer after the surgery.
In this chapter, thus, we discuss the clinical importance of application of MRCP recording in the field of maxillofacial surgery.
We performed two experiments in this study, described below.
Experiment 1: The MRCP waveforms for jaw movement were compared with those for hand movement in healthy subjects, which served as the control, to confirm MRCP components’ characteristics (BP and NS’) preceding onset of jaw muscle activities.
Experiment 2: The MRCP waveforms for jaw movement were compared between the preoperative and postoperative periods in the oral cancer patients to confirm MRCP components’ changing (BP and NS’) preceding onset of jaw muscle activities.
We obtained informed consent was obtained from all participants after explaining the procedure in detail. The Ethical Committee approved the protocol of Nihon University School of Dentistry.
Eight unaffected subjects, four males and four females were enrolled in this experiment. Each had a complete set of natural maxillary teeth, instead of mandibular teeth. The average age was between 25 and 32 years.
The subjects were instructed to bite softly on a 3-cm-thick plastic block between their upper and lower molars on their habitual side (left or right) at their own pace.
The subjects were instructed to put their hands on the chair’s arms and dorsiflex their right wrist.
The above movement was carried out 50 times rapidly, and three trials were carried out with a break between them. The MRCP waveform data obtained from both groups for the above movement tasks were compared with those obtained for the right wrist dorsiflexion movement task as the control task.
The subjects sat in an armchair with the FH plane nearly parallel to the floor in a relaxed manner. They were instructed not to move their jaw and tongue before doing each movement.
The subjects performed the movements 30–50 times rapidly and carried out the following two tasks with a break between them. The subjects were instructed to gaze at a mark positioned 1.5 m ahead at eye level lightly. The subjects were instructed not to blink for 6 s before beginning the specified movement and to relax, and then to perform the following movement tasks.
For electroencephalographic recording, Ag/AgCl electrodes were set at three sites, C3, Cz, and C4, stipulated under the international 10–20 system (Figure 1). The right and left earlobes (A1 and A2) were selected as the reference electrodes. Electroencephalography was performed using a monopolar lead with a time constant of 5.0 s, a 100 Hz high-frequency filter, and electric resistance of 5 kΩ or less.
Electroencephalographic recoding areas.
Electrooculograms were recoded from electrodes above and below the right eye, to enable us to monitor for eye movement and blink artifacts.
Surface electromyograms that served as a trigger for brain wave averaging were recorded from agonists shown below:
Jaw-biting task: Superficial part of the right masseter muscle.
Wrist movement task: Short radial extensor muscle of the right wrist (control movement task).
Surface electromyograms were recorded from each muscle group using a bipolar lead. The ocular movement was recorded during all the movement tasks, and electroencephalographic data contaminated with ocular movement artifacts were excluded from the analysis.
Signals obtained from electroencephalography, ocular movement, and muscle activity were amplified with an evoked potential measuring system (Neuropak-MEB-2200, Nihon Kohden Corporation). Electroencephalographic data without artifacts taken 50 times with the point of muscle discharge of the suprahyoid muscle group exceeding 2 μV chosen as the threshold for the trigger were averaged.
Seven oral cancer patients in whom the large area of the mandibular bone was excised during tumor resection were enrolled in this study (Table 1).
Case | Age | Diagnosis | Surgical procedure | Recorded month of MRCP before surgery | Recorded month of MRCP after operation |
---|---|---|---|---|---|
1 | 36Y | Fibrosarcoma | Left hemi-mandiblectomy | 1 month within | 12 month |
2 | 60Y | Squamous cell carcinoma | Right segmental mandiblectomy | ||
3 | 63Y | Squamous cell carcinoma | Right segmental mandiblectomy | ||
4 | 70Y | Squamous cell carcinoma | Left segmental mandiblectomy | ||
5 | 17Y | Ameloblastoma | Left segmental mandiblectomy | ||
6 | 18Y | Ameloblastoma | Left segmental mandiblectomy | ||
7 | 70Y | Ameloblastoma | Left segmental mandiblectomy |
The list of patients participated in the research.
The patients ranged in age from 17 to 70 at the time of surgery. Additionally, they had upper and lower molars on the non-operative side (unaffected side). Their operation procedures were either segmental mandibulectomy or hemi-mandibulectomy (Figure 2).
Surgical areas of mandibulectomy in the patients. (A) Segmental mandibulectomy is a surgical procedure in which the mandible is partially resected continuously from the alveolus to the inferior border of the mandible, resulting in the disruption of its continuity. (B) Hemi-mandibulectomy is a surgical procedure involving resection of the hemi-mandible including its condyle. Between 1 to 3 years after the surgery, the mandibular bone was reconstructed with bone grafts from the ilium in these patients. The patients who participated in this study also complained of difficulty in jaw movement and mastication after surgery.
The patients were instructed to carry out the jaw-biting task on the unaffected side. They were instructed to bite softly on a 3-cm-thick plastic block between the upper and lower molars on the unaffected side at their own pace before undergoing tumor resection. The patients carried out the same specified movement postoperatively. One of the patients was instructed to perform the right wrist dorsiflexion movement postoperatively.
Experiment 2 was carried out according to the recording conditions of Experiment 1. Electroencephalography was done on five patients, according to the international 10–20 method, by placing sensors over the vertex (CZ). For electromyography, recordings were made using bipolar leads placed over the left and right masseter muscles. Simultaneously, electrooculography was done to monitor a mixture of eye-blinking potential with theelectroencephalogram.
The measurement parameters for each movement task were maximum amplitude and duration determined by setting the baseline and rise time of MRCP under the following conditions (Figure 3). The average potential of a segment between 4 and 3 s before the start of muscle discharge was calculated to set the baseline.
MRCP components. Bereitschaftspotential (BP): BP is a gradually increasing, bilaterally widespread surface negativity with the maximum over the midline vertex region regardless of the site of movement onset. Negative slope (NS’): NS’ is a much steeper slope starting about 400 ms before the movement onset, and is characterized by a more localized negativity over the central and vertex regions contralateral to the movement. Trigger point indicates the onet of EMG for EEG averaging.
The difference in potential between peak MRCP amplitude before muscle discharge initiation and the baseline (NS’ amplitude) was determined as the maximum MRCP amplitude.
The difference in time between the starting point of the rise in MRCP from the baseline and muscle discharge initiation was determined as the MRCP duration.
Differences of the amplitudes in the two different motor tasks were analyzed with a two-factor (recording site - task), repeated-measures analysis of variance (ANOVA). Statistical significance was considered when P < 0.05. A paired t-test was also used to compare the measured values (amplitude/duration) of two groups.
MRCP waveforms obtained in jaw-biting and wrist motor tasks were shown in Fi.4A and Figure 4B, respectively. Negative slow potential appeared bilaterally from electrodes at five sites on the scalp 1 or 2 s before muscle discharge initiation in each task. Each slow negative potential was divided into the BP component, which was of long duration centering on Cz, and the rapid NS’ component appearing approximately 500 msec before muscle discharge initiation.
Comparison of cortical potentials in jaw biting and wrist extension tasks in healthy subjects. (A) The grand averaged MRCPs for wrist extension task over all eight subjects. (B) The grand averaged MRCPs for jaw-biting task over all eight subjects. Both waveforms were obtained from vertex (Cz). The BP component and NS component can be confirmed in each waveform.“Onset” indicates onset of muscle discharge. Panel (C) and (D) indicate mean peak amplitudes values of the MRCPs for wrist extension and for jaw-biting tasks, respectively.
Maximum amplitudes in the wrist dorsiflexion movement task were 8.18 ± 2.46 μV, 10.48 ± 3.84 μV, 7.64 ± 2.41 μV, at C3, Cz, and C4, respectively (Figure 4C). On the other hand, the MRCP amplitudes in the jaw-biting task were 12.80 ± 5.22 μV, 15.09 ± 5.98 μV, 12.91 ± 4.32 μV at C3, Cz, and C4, respectively (Figure 4D).
In a two-way analysis of variance with each task and each recording site as two factors, a significant difference in MRCP amplitude was observed when the task was considered as the main effect [F (1,42) = 11.8, p < 0.01]. No significant difference was also observed between the recording sites [F (2,42) = 1.78, p > 0.05]. No interaction was observed [F (2,42) = 0.07, p > 0.05]. These results indicate that MRCP amplitude varied with the task. The MRCP amplitude was significantly higher in the jaw-biting task than in the wrist dorsiflexion movement task (p < 0.01). The MRCP recorded at Cz tended to be a large amplitude in both tasks, and was clear to distinguish two main components (BP and NS’).
The MRCP durations were 1,704.37 ± 743.03 ms in the wrist dorsiflexion movement task, 2,180.00 ± 196.81 ms in the jaw-biting task. No significant difference was observed in MRCP duration between the movement tasks (paired test, p > 0.05).
Regarding MRCP waveforms associated with the preoperative jaw-biting, negative potential appeared bilaterally 1.5 s before muscle discharge initiation. The precipitous negative potential appeared 500 msec before muscle discharge initiation in all five patients. Preoperative negative potential waveforms consisted of BP and NS’ components.
However, BP and NS’ appearance became unclear in four of all seven patients after the surgery. In only one case, BP and NS’ components were observed at both pre and postoperative periods.
Figure 5 shows a typical case with reduced waveform components. In this case, the BP component was confirmed 1.5 seconds before the onset of masseter muscle discharge, as in healthy adults, before the surgery (Figure 5A).
A typical change in pre and postoperative MRCP waveforms in same patient. (A) Comparison between the MRCPs for jaw-biting in a patient at preoperative and postoperative periods. (B) The MRCPs for wrist extension in same patient at postoperative period.
However, after surgery, the amplitudes of MRCPs were decreased so much that the BP component could not be confirmed (Figure 5B). The NS’ component was barely confirmed in the waveforms. In addition, the BP and NS components could be observed in the MRCP waveforms when this patient was requested to perform wrist movement during the postoperative period (Figure 5C).
The MRCP amplitudes in the jaw-biting task at pre-and postoperative periods were 6.80 ± 1.442 μV and 4.02 ± 2.33 μV, respectively (Figure 6). The amplitudes of the MRCP decreased significantly in the patients after than before the surgery (p < 0.05). Thus, it was clear that the cerebral potentials associated with jaw movement were affected in the patient after surgery.
Comparison of mean peak amplitude values before and after surgery. Paired t test: * indicates significant difference at p < 0.05.
Recently, the epidemiological data suggest a positive correlation between masticatory functions and cognitive functions in the elderly people [17, 18]. Thus, we feel it is essential to study the relationship between masticatory muscle movement and brain function in humans from many points of view.
That local cerebral function is related to various movements’ execution has been documented recently using cerebral function imaging methods such as fMRI and positron-emission tomography [19, 20, 21]. These techniques have excellent spatial resolution and various applications, such as function localization in the cerebral cortex. These techniques can be used in jaw movement studies.
Because these methods’ temporal resolutions, which are on the order of tens to hundred milliseconds, are low, it is impossible to record brain activity on a time series plot: before, at the start of, and during a movement. The methods provide information on brain activity during a movement but cannot clarify brain activity during a movement’s preparation.
On the other hand, an MRCP is recorded from the scalp before voluntary movements. Hence, an index reflecting changes in brain potential, but MRCP reflects the supplementary motor area and sensorimotor cortex’s activities appear before the start of voluntary movements. Its temporal resolution is on the order of 1/1000 seconds, allowing very high-resolution examination and enabling continuous monitoring of central nerve activity accompanying the movement.
Shibasaki (1980) divided MRCP recorded from the scalp into two components: the BP and the NS’ components [8]. The BP component initiates approximately 1,000 to 2,000 ms before starting a movement with a mild gradient showing maximum amplitude. In contrast, the NS’ component initiates at approximately 500 ms after the start of a movement with a steep gradient showing maximum amplitude on the side contralateral to the movement side. The NS’ measurement is used clinically to diagnose movement disorder of central origin.
Therefore, we conducted this study by focusing on changes in the BP and NS’ components of MRCP waveforms associated with jaw movements.
In this study, the BP component appeared bilaterally from the scalp 1 to 1.5 s ahead of muscle discharge initiation in the jaw-biting task, similarly to the wrist dorsiflexion movement task. However, the NS’ amplitude tended to be higher in the jaw-biting task than in the wrist dorsiflexion movement task. Our data demonstrated the difference between jaw and limb movements in the peak amplitudes of MRCPs.
MRCP amplitude has been shown to have a more significant increase, particularly in the movement task coordinating the bilateral upper limbs than in the unilateral upper-limb movement task [21, 22]. This phenomenon is considered attributable to increased activity in the supplementary motor area. The difference in MRCP amplitude between the jaw movement and wrist movement tasks was considered to indicate the brain’s more extensive activation in the jaw movement’s preparatory process involving the bilateral muscles’ coordination than for the unilateral wrist dorsiflexion movement.
Our results indicate that BP and NS’ components can be considered a useful index for the jaw-biting movement’s motor preparation, similar to limb movements. In later experiments, we will investigate the relationship between these components and the brain’s active sites for jaw-biting movement in patients with oral cancer.
In Experiment 1, our data indicated that BP and NS’ were a useful index of MRCPs, suggesting the more complicated preparatory process for the jaw movement than for the limb movement. In Experiment 2, the influence of excision of the unilateral masticatory muscle in oral tumor resection on the BP and NS’ components of the MRCPs for the jaw-biting was examined in the patients.
Chewing aims to crush, triturate, and mix food with saliva so that that food can be transported by deglutition down the digestive canal [23]. The masticatory muscle is an agonist of an actual jaw movement and a sensory organ involved in sensing the mandible position through stretch receptors [24].
Therefore, in this experiment, we predicted that a loss of oral sensory receptors such as muscle spindles due to oral cancer removal might affect brain function.
In this study, MRCP consisting of the BP and NS’ components appeared initial onset of master muscle activities in all five patients at the preoperative period.
However, these MRCPs decreased in four of five subjects during the postoperative period in the patients. In particular, our results indicated the BP components more remarkably decreased.
The cerebellum receives signals from receptors on various parts of the body and the cerebrum [25, 26].
The cerebellum transmits movement-controlling signals based on the above signals to the medulla’s vestibular nuclei oblongata and cerebellar nuclei. Various sensory input types are distributed fragmentarily in intracortical adjacent areas, and Purkinje cells, the only projection neurons, potentially integrate various sensory information at a single-cell level. It is considered that the plasticity of parallel fiber synapses determined by the interaction of two types of excitatory input received by Purkinje cells, climbing fiber inputs and parallel fiber inputs, plays an important role in sensory information processing and motor learning.
It is well known that the cerebellum drives MRCP generation. Ikeda et al. (1992) have determined the cortical source of MRCPs by directly recording cortical potentials through chronically implanted subdural electrodes in patients with epilepsy as part of the presurgical evaluation [10]. Sasaki et al. (1981) reported that in monkeys trained to perform spontaneous hand movements, MRCPs recorded before the movement’s initiation disappear following cerebellum resection [27]. Ikeda et al. (1994) reported that in cerebellar infarction patients performing an upper-limb movement task, no MRCP was recorded [28].
Naito et al. demonstrated that sensorimotor inputs from muscle spindles and tendon receptors through afferent nerves in humans are transmitted to the primary sensorimotor cortices, supplementary motor area (SMA) and cingulate motor area (CMA), by using emission tomography (PET) [29].
In this study, therefore, our data may suggest that the marked postoperative reduction in MRCP amplitude in the oral cancer patients was attributable to decreased activities of the cerebellum before the initiation of voluntary movements, leading to dysfunction of the feed-forward system of jaw movements.
As a further study, we will investigate the effect of postoperative rehabilitation for cancer patients using not only MRCP but f MRI analysis, in order to establish the effective dysphagia treatment.
The above findings support our hypothesis that the removal procedure of the oral cancer including masticatory muscles (muscle spindle, tendon receptor) may affect this information processing of brain for smooth jaw movement. We concluded that it is necessary to diagnose brain functions for the oral cancer patients before and after the surgery for postoperative rehabilitation of a jaw motor disorder.
The authors declare no conflict of interest.
Authors would like to thank Prof. Mitsuhiko Matsumoto for his warm research support sincerely.
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