Functional connectivity in EEG: a multiclass classification approach for disorders of consciousness

Functional connectivity in EEG: a multiclass classification approach for disorders of consciousness

Characterizing functional connectivity (FC) in the human brain is crucial for understanding and supporting clinical decision making in disorders of consciousness. This study investigates FC using sliding window correlation (SWC) analysis of electroencephalogram (EEG) applied to three connectivity me...

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Main Authors: Sreelakshmi Raveendran, Kala S, Ramakrishnan A G, Raghavendra Kenchaiah, Jayakrushna Sahoo, Santhos Kumar, Farsana M K, Ravindranadh Chowdary Mundlamuri, Sonia Bansal, Binu V S, Subasree R
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Neuroscience
Subjects:
functional connectivity
sliding window correlation
amplitude envelope correlation
weighted phase lag index
disorders of consciousness
artificial neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1550581/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1550581/full

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