Diagnostic classification of schizophrenia and bipolar disorder by using dynamic functional connectivity: An fNIRS study

Diagnostic classification of schizophrenia and bipolar disorder by using dynamic functional connectivity: An fNIRS study

•Schizophrenia and bipolar disorder were classified by using fNIRS & ML approaches.•Dynamic functional connectivity based features were used.•SCZ vs HC, BP vs HC and SCZ vs BP accuracies were found as 82.5%, 79% and 75.5%.•Dynamic functional connections might be biomarkers for psychiatric disord...

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Veröffentlicht in:Journal of neuroscience methods 2022-07, Vol.376, p.109596-109596, Article 109596
Hauptverfasser: Eken, Aykut, Akaslan, Damla Sayar, Baskak, Bora, Münir, Kerim
Format: Artikel
Sprache:eng
Schlagworte:
Bipolar disorder
Dynamic Functional Connectivity
fNIRS
Machine learning
Mental State Judgement
Schizophrenia
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Zusammenfassung:•Schizophrenia and bipolar disorder were classified by using fNIRS & ML approaches.•Dynamic functional connectivity based features were used.•SCZ vs HC, BP vs HC and SCZ vs BP accuracies were found as 82.5%, 79% and 75.5%.•Dynamic functional connections might be biomarkers for psychiatric disorders.
ISSN:0165-0270
1872-678X
DOI:10.1016/j.jneumeth.2022.109596