An EEG-based marker of functional connectivity: detection of major depressive disorder
Author:
Funder
Jilin Scientific and Technological Development Program
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-10041-5.pdf
Reference57 articles.
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3. Ahn J, Han DH, Hong JS, Min KJ, Lee YS, Hahm BJ, Kim SM (2017) Features of resting-state electroencephalogram theta coherence in somatic symptom disorder compared with major depressive disorder: a pilot study. Psychosom Med 79:982–987. https://doi.org/10.1097/PSY.0000000000000490
4. Akbari H, Sadiq MT, Rehman AU, Ghazvini M, Naqvi RA, Payan M, Bagheri H, Bagheri H (2021) Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features. Appl Acoust. https://doi.org/10.1016/j.apacoust.2021.108078
5. Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD (2014) Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex 24:663–676. https://doi.org/10.1093/cercor/bhs352
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