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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	A. Komarova, A. Kiselnikov, M. Yurlova, E. Slovenko, I. Tan, D. Mitiureva, P. Kabanova, E. Terlichenko, V. Zubko, E. Shcherbakova
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Cambridge University Press 2022-06-01
Schriftenreihe:	European Psychiatry
Schlagworte:	Depression Resting-state EEG Connectivity
Online-Zugang:	https://www.cambridge.org/core/product/identifier/S0924933822005570/type/journal_article
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!