Diagnosis and Prediction of Neurological Diseases: Application of EEG-Based Technology

Dear Colleagues,

Electroencephalography (EEG) will turn one century old next year and can be considered one of the oldest and most consolidated methods to study the brain. However, in recent decades of the twentieth century and during the present, we have seen a renewed concept in the use of EEG, firstly due to the introduction of digitalization, and secondly, due to the massive spreading of numerical methods to unveil brain states and dynamics, which are not easily identified by the naked eye. This set of methods is commonly known as quantified EEG (qEEG).

This Special Issue of Brain Sciences will provide an update on the recent clinical and preclinical advances in the prediction and diagnosis of neurological diseases by means of the numerical methods applied to EEG recordings. We aim to underscore the importance of these recent advances for both clinicians and researchers.

The following topics are subject to particular interest:

• Utility of qEEG in clinical practice;
• Novel biomarkers with the potential to improve the classification and risk stratification of dementias and psychiatric pathologies;
• Usefulness of qEEG in critically ill patients and multimodal neuro-monitoring.

We cordially invite original preclinical, translational, and clinical works as well as review articles regarding the above-mentioned cutting-edge topics for contribution in this Special Issue of Brain Sciences.

Dr. Jesús Pastor
Dr. Lorena Vega-Zelaya
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• biomarker
• coherence
• multimodal neuro-monitoring
• qEEG
• personalized medicine
• spectral analysis
• synchronization