Resting-state EEG networks characterized by intramodular and global hyperconnectivity in depressive sample

INTRODUCTION: Depression is characterized by a pattern of specific changes in the network organization of brain functioning. OBJECTIVES: We researched a graph structure specificity in a depressive student sample by analyzing resting-state EEG. All possible combinations of graph metrics, frequency ba...

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Detalles Bibliográficos
Autores principales: Komarova, A., Kiselnikov, A., Yurlova, M., Slovenko, E., Tan, I., Mitiureva, D., Kabanova, P., Terlichenko, E., Zubko, V., Shcherbakova, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566570/
http://dx.doi.org/10.1192/j.eurpsy.2022.557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566570/
http://dx.doi.org/10.1192/j.eurpsy.2022.557

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