Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI

The recent emergence of deep learning methods, particularly convolutional neural networks (CNNs), applied to fMRI data presents a promising avenue in psychiatry research, offering advantages over traditional analyses by requiring minimal assumptions and enabling detection of higher-level patterns an...

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Bibliographic Details
Main Authors: Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:NeuroImage: Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666956025000273
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