2022
DOI: 10.48550/arxiv.2207.02402
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White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Abstract: White matter tract microstructure has been shown to influence neuropsychological scores of cognitive performance. However, prediction of these scores from white matter tract data has not been attempted. In this paper, we propose a deep-learning-based framework for neuropsychological score prediction using microstructure measurements estimated from diffusion magnetic resonance imaging (dMRI) tractography, focusing on predicting performance on a receptive vocabulary assessment task based on a critical fiber trac… Show more

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“…Contrastive learning performed best, even when the pre-training sample size was small. Contrastive learning has been applied to tractography data for bundle segmentation 40,84 and predictive modeling 85 , and could also be investigated in the MINT framework.…”
Section: Discussionmentioning
confidence: 99%
“…Contrastive learning performed best, even when the pre-training sample size was small. Contrastive learning has been applied to tractography data for bundle segmentation 40,84 and predictive modeling 85 , and could also be investigated in the MINT framework.…”
Section: Discussionmentioning
confidence: 99%