[Eeglablist] SPECIAL ISSUE: EEG/MEG-Based Biomarkers for Dementia and Related Disorders

[Francisco Fraga]

Call for Papers

The diagnosis and treatment of dementia has become a growing and worrying
public health problem in both developed and developing countries. Research
to identify reliable markers is very active and there is currently a
consensus among scientists that a pre-symptomatic variable duration stage
is characteristic of most dementias. Starting treatment only when the
symptoms appear is probably too late to have full effectiveness of
medications able to control disease progression. Consequently, there is a
pressing need for low-cost, high-sensitive and high-specific biomarkers for
early identification of individuals at risk of developing dementia within a
few years. The analysis of electroencephalographic signals is potentially
one of the best candidates because EEG/MEG equipment is cheap and safe.
More importantly, EEG/MEG markers may probe the neurophysiological
“reserve” in patients with dementing disorders. It was defined as the
residual ability of the brain to ensure the synchronization of neural
activity at different spatial scales and frequencies from small cellular
populations to large regions and the coordination of that synchronization
across subcortical and cortical neural networks. Unfortunately, the vast
majority of the scientific community does not accept EEG/MEG signal
analysis as a reliable topographic marker for dementia, although a growing
number of published studies show the opposite. Such wary attitude could be
due to the fact that even though there is a wide range of innovative
approaches to signal analysis, so far there has been little effort to
explore their complementarity and integrate them all in a stronger and more
reliable biomarker.

To step up the discussion on EEG/MEG markers and dementia, the present
Special Issue will solicit manuscripts reporting studies aimed at advancing
the field of EEG/MEG-based biomarkers along different paths. Although the
main focus of this Special Issue is the research on electrophysiological
biomarkers for dementia, manuscripts on EEG/MEG markers for neurological
disorders other than dementia are also welcome. Submissions related to the
assessment of the neurophysiological “reserve” are especially welcome,
mainly those markers derived from resting state EEG/MEG rhythms. It will be
particularly appreciated the submission of studies aiming to probe the
cortical neural synchronization/desynchronization at given frequency bands
and reflecting neurophysiological mechanisms underpinning local cortical
arousal in quiet wakefulness and vigilance. Likewise, manuscripts
supporting the importance of dementia biomarkers based on task-related
EEG/MEG are also welcome, as well as those exploring functional cortical
connectivity both in resting-state and task-related EEG/MEG. Finally,
submission of review articles describing the current state of the art is
highly encouraged, and even judiciously designed studies showing negative
results.

Potential topics include but are not limited to the following:

New dementia EEG/MEG biomarkers

EEG/MEG markers for Parkinson’s disease and Parkinson’s dementia

Electrophysiological biomarkers for Schizophrenia, Epilepsy, and AD/HD

Innovations in low-cost EEG/MEG measurement for dementia diagnostics

Unsupervised or semisupervised extraction of EEG/MEG biomarkers

Multimodal (EEG/MEG + other modalities) biomarkers

Biomarkers of MCI progression to AD

Confounding factors in EEG/MEG biomarker research

Biomarker-based neurofeedback for mental training

EEG/MEG -based correlates of treatment outcome/progress prediction

Multimarker strategy (EEG/MEG, circulating biomarkers, and clinical
variables) for dementia

Diagnostic role and predictive value of EEG/MEG and other imaging
modalities for dementia

Authors can submit their manuscripts through the Manuscript Tracking System
at https://mts.hindawi.com/submit/journals/dm/ebd/.

Papers are published upon acceptance, regardless of the Special Issue
publication date.

Lead Guest Editor

Francisco J. Fraga, Federal University of ABC (UFABC), Santo André, Brazil
francisco.fraga at ufabc.edu.br

Guest Editors

Claudio Del Percio, IRCCS SDN, Naples, Italyclaudio.delpercio at uniroma1.it

Tiago H. Falk, Institut National de la Recherche Scientifique, Quebec,
Canadafalk at emt.inrs.ca

Francesca Miraglia, Catholic University, Rome, Italy
fra.miraglia at gmail.com

Fabrizio Vecchio, IRCCS San Raffaele Pisana, Rome, Italy
fabrizio.vecchio at sanraffaele.it

Submission Deadline

Friday, 6 July 2018

Publication Date

November 2018


Francisco J. Fraga
Professor Associado / Associate Professor
UFABC - Universidade Federal do ABC / Federal University of ABC
CECS - Centro de Engenharia e Ciências Sociais Aplicadas /
  Engineering, Modelling and Applied Social Sciences Center
Campus Santo André, Bloco B, 9.o andar, sala 940.
Santo André, SP, Brazil.
Email: francisco.fraga at ufabc.edu.br
Telefone / Phone:  + 55 11 4996-0138



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