Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study

Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study

Neural network-level changes underlying symptom remission in major depressive disorder (MDD) are often studied from a single perspective. Multimodal approaches to assess neuropsychiatric disorders are evolving, as they offer richer information about brain networks. A FATCAT-awFC pipeline was develop...

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Bibliographic Details
Main Authors: Sondos Ayyash, Andrew D. Davis, Gésine L. Alders, Glenda MacQueen, Stephen C. Strother, Stefanie Hassel, Mojdeh Zamyadi, Stephen R. Arnott, Jacqueline K. Harris, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Sidney H. Kennedy, Susan Rotzinger, Benicio N. Frey, Luciano Minuzzi, Geoffrey B. Hall
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:IBRO Neuroscience Reports
Subjects:
Neuroimaging
Major depressive disorder
Structural connectivity
Functional connectivity
Data fusion
Resting brain networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2667242123022996

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http://www.sciencedirect.com/science/article/pii/S2667242123022996

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