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Breakdown of long-range spatial correlations of infraslow amplitude fluctuations of EEG oscillations in patients with current and past major depressive disorder

Bibliographic Data

ID15523765
AuthorsDuho Sihn (0000-0002-9892-7829, Ulsan National Institute of Science and Technology), Ji Sun Kim (0000-0003-3669-9151, Soonchunhyang University), Oh‐Sang Kwon (0000-0002-9866-8222, Ulsan National Institute of Science and Technology, corresponding author), Oh-Sang Kwon, Sung-Phil Kim (0000-0001-6665-3475, Ulsan National Institute of Science and Technology, corresponding author)
Year2023
Volume14
Pages1132996-1132996
Publication date2023-04-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1132996
PMID37181866
OpenAlexW4367053796
LanguageEN
References cited46

Our results suggest that breakdown of long-range spatial correlations may offer a biomarker for the diagnosis of depression (current MDD), as well as the tracking of the recovery from depression (past MDD)

Amplitude · Audiology · Cognition · Correlation · Depression (economics · Electroencephalography · Major depressive disorder · Optics · Physics · EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Mathematics · Medicine · Neural dynamics and brain function · Neuroscience · Psychology

  • An Information-Maximization Approach to Blind Separation and Blind Deconvolution

    Anthony J Bell, Terrence J Sejnowski•Neural Computation•1995

  • Psychometric properties of the Beck Depression Inventory

    Open Access•Aaron T Beck, Robert A Steer et al.•Clinical Psychology Review•1988

Citation velocityhistorical
Highly citedNo

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