Open access peer-reviewed Edited Volume

Functional Connectivity - Current and Future Translational Impact of the Connectome in Neurological Disorders

Mario Stanziano

Istituto Neurologico Carlo Besta

Dr. Mario Stanziano ( MD) is a Neuroradiologist at the IRCCS Neurological Institute "Carlo Besta" of Milan, Neuroscience Ph.D. student at the University of Turin, advisor for the Neuroradiology Department of the Trauma Center of Turin (CTO), actively involved in functional MRI research in several neurological disorders.


Sara Palermo

Fondazione IRCCS Istituto Neurologico Carlo Besta

Appreciated researcher with recognized expertise in psychophysiology, neuropsychology, and neuroimaging who is successfully applying the neurocognitive approach to the study of neurodegenerative diseases and placebo mapping. Dr. Palermo is a member of the European Innovation Partnership on Active and Healthy Aging (EIP on AHA), for which she is involved in the Action Group A3 Functional decline and frailty.


Resting-State fMRI Resting-State Networks Neural Field Theory Sliding Time Window Analysis ROI-Based Hypothesis Driven Approach Data-Driven Approach Global Signal Linear Regression Global Signal Topography Data Clustering Leave-One-Out Procedures Radiomic Analysis of Brain Functional Connectivity Data Brain Texture Analysis

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About the book

Over the last two decades, fMRI brain studies have strived to find fitting neural correlates of major neurological conditions through functional connectivity. More recently, researchers are attempting to go beyond purely descriptive approaches also due to the boost resulting from the application of artificial intelligence in neuroscience. In particular, the large amount of collected functional and corresponding clinical data is allowing data-characterizing algorithms to properly classify different subcategories of patients based on their functional connectome, as well as to make prognostic predictions about neurological disease phenotypes. Functional connectivity has now been addressed by researchers following multiple approaches of data analysis based on both static and dynamic statistical models of the bold fMRI signal. Very recently the radiomic approach has been applied also to functional connectivity data. Brain functional imaging has therefore been developing the potential to become part of the much-invoked (and needed) "tailored" diagnostic process, as part of an integrated multidisciplinary approach aimed at profiling functional connectome "endophenotype" for each patient. This could facilitate targeted and more effective therapeutic interventions very soon. Researchers and clinicians are encouraged to send contributions that could match this "applicative" quantitative view of functional connectomics in neurology.

Publishing process

Book initiated and editor appointed

Date completed: October 27th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: January 23rd 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 13th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 12th 2022

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About the editor

Mario Stanziano

Istituto Neurologico Carlo Besta

Mario Stanziano is a Diagnostic Neuroradiologist currently working at the Neuroradiology Department of the IRCCS Neurological Institute "Carlo Besta" of Milan. He also collaborates with the Neuroradiology Department of the Trauma Center of Turin (CTO) and, as a PhD student, with the Neuroscience Department "Rita Levi Montalcini" of the University of Turin. He is an expert in functional and structural neuroimaging, especially in functional connectivity analysis under resting state condition.

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Book chapters authored 2

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