Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8628
Title: | Diagnostic Classification of Schizophrenia and Bipolar Disorder by Using Dynamic Functional Connectivity: an Fnirs Study | Authors: | Eken, Aykut Akaslan, Damla Sayar Baskak, Bora Munir, Kerim |
Keywords: | Schizophrenia Bipolar disorder fNIRS Machine learning Dynamic Functional Connectivity Mental State Judgement Default Mode Network Verbal-Fluency Task Social Cognition Prefrontal Activity Eyes Test Abnormalities Metaanalysis Lobe Mind Recognition |
Publisher: | Elsevier | Source: | Eken, A., Akaslan, D. S., Baskak, B., & Münir, K. (2022). Diagnostic classification of schizophrenia and bipolar disorder by using dynamic functional connectivity: An fNIRS study. Journal of Neuroscience Methods, 376, 109596. | Abstract: | [Abstract Not Available] | URI: | https://doi.org/10.1016/j.jneumeth.2022.109596 https://hdl.handle.net/20.500.11851/8628 |
ISSN: | 0165-0270 1872-678X |
Appears in Collections: | Biyomedikal Mühendisliği Bölümü / Department of Biomedical Engineering PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
1
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
6
checked on Dec 21, 2024
Page view(s)
108
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.