Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning

Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning

Abstract Given the subjective nature of conventional diagnostic methods for post-traumatic stress disorder (PTSD), an objectively measurable biomarker is highly desirable; especially to clinicians and researchers. Macroscopic neural circuits measured using magnetoencephalography (MEG) has previously...

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Bibliographic Details
Main Authors: Jing Zhang, J. Don Richardson, Benjamin T. Dunkley
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/06c493ccf0bf4887887a61e4696b5aa5
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