Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detection

Schizophrenia is a psychiatric disorder characterized by symptoms such as disorganized thinking, hallucinations, disintegration of reality perception, and delusions, among others. Resting-state functional magnetic resonance imaging is a promising method for studying changes in functional brain netwo...

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Veröffentlicht in:	Network modeling and analysis in health informatics and bioinformatics (Wien) Jg. 12; H. 1; S. 19
Hauptverfasser:	Nallusamy, Kalaichelvi, Easwarakumar, K. S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 04.04.2023 Springer Nature B.V
Schlagworte:	Algorithms Applications of Graph Theory and Complex Networks Bioinformatics Brain Brain mapping Brain research Classification Computational Biology/Bioinformatics Computer Science Deep learning Disease Disintegration Functional magnetic resonance imaging Graph theory Graphical representations Health care Health Informatics Labeling Magnetic resonance imaging Medical imaging Mental disorders Neural networks Neuroimaging Neurosciences Original Article Public health Schizophrenia Similarity Social networks Social organization Community detection Schizophrenia Graph similarity Social network Connectome Brain network
ISSN:	2192-6670, 2192-6662, 2192-6670
Online-Zugang:	Volltext
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