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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Autores principales: Jing Zhang, J. Don Richardson, Benjamin T. Dunkley
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/06c493ccf0bf4887887a61e4696b5aa5
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