Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their classical counterparts in a variety of neuroimaging applications, yet there are few direct comparisons of relative utility. H...

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Bibliographic Details
Main Authors: Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B.T. Thomas Yeo
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Fingerprinting
Deep learning
Resting-state fMRI
Graph convolutional neural network
Kernel ridge regression
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919308675

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http://www.sciencedirect.com/science/article/pii/S1053811919308675

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