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Predicting Individual Task Contrasts From Resting-state Functional Connectivity using a Surface-based Convolutional Network

2021-04-20

Abstract excerpt

Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state offers a flexible and scalable approach for characterizing brain function, task-based techniques provide superior localization. In this paper, we build on recent deep learning methods to create a model that predicts task-based contrast maps from resting-state fMRI scans. Specifically, w...

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Literature Corpus work
3933e16c-d8fd-5be8-bbf7-356b6d849018
DOI
10.1101/2021.04.19.440523
Open publication

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Predicting Individual Task Contrasts From Resting-state Functional Connectivity using a Surface-based Convolutional NetworkDOI 10.1101/2021.04.19.440523
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