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Connectome-based prediction of global cognitive performance in people with HIV.


ABSTRACT: Global cognitive performance plays an important role in the diagnosis of HIV-associated neurocognitive disorders (HAND), yet to date, there is no simple way to measure global cognitive performance in people with HIV (PWH). Here, we performed connectome-based predictive modeling (CPM) to pursue a neural biomarker of global cognitive performance in PWH based on whole-brain resting-state functional connectivity. We built a CPM model that successfully predicted individual differences in global cognitive performance in the training set of 67 PWH by using leave-one-out cross-validation. This model generalized to both 33 novel PWH in the testing set and a subset of 39 PWH who completed a follow-up visit two years later. Furthermore, network strengths identified by the CPM model were significantly different between PWH with HAND and without HAND. Together, these results demonstrate that whole-brain functional network strengths could serve as a potential neural biomarker of global cognitive performance in PWH.

SUBMITTER: Yang FN 

PROVIDER: S-EPMC8102633 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Connectome-based prediction of global cognitive performance in people with HIV.

Yang Fan Nils FN   Hassanzadeh-Behbahani Shiva S   Bronshteyn Margarita M   Dawson Matthew M   Kumar Princy P   Moore David J DJ   Ellis Ronald J RJ   Jiang Xiong X  

NeuroImage. Clinical 20210418


Global cognitive performance plays an important role in the diagnosis of HIV-associated neurocognitive disorders (HAND), yet to date, there is no simple way to measure global cognitive performance in people with HIV (PWH). Here, we performed connectome-based predictive modeling (CPM) to pursue a neural biomarker of global cognitive performance in PWH based on whole-brain resting-state functional connectivity. We built a CPM model that successfully predicted individual differences in global cogni  ...[more]

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