Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

In NeuroImage. Clinical

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.

Yang Fan Nils, Hassanzadeh-Behbahani Shiva, Bronshteyn Margarita, Dawson Matthew, Kumar Princy, Moore David J, Ellis Ronald J, Jiang Xiong

2021

Cognitive function, Connectome-based predictive modeling, HIV, Machine Learning, Magnetic resonance imaging, Neurodegenerative Diseases