HIV-Associated Cognitive Impairment and Treatment Response: Multimodal Neuroimaging Data
by Xing Qiu·Updated 1mo ago
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Description
A neuroimaging dataset from a study applying a multimodal integrative model to associate baseline MR metrics with cognitive performance in persons with HIV. The dataset, created by Xing Qiu and last updated in April 2026, includes features such as volumetric data, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI data from cortical, subcortical, and white matter brain regions. The study tracked longitudinal changes over a 12-week treatment period with combination antiretroviral therapy.
Use Cases
Modeling associations between baseline neuroimaging features and longitudinal cognitive change based on the described integrative framework.
Comparing the predictive performance of multimodal versus unimodal models for cognitive trajectories using the described metrics.
Identifying key brain region predictors (e.g., frontal pole, amygdala) for cognitive outcomes based on the feature selection results mentioned.
Developing penalized regression models for 'large p, small n' neuroimaging data as described in the methodology.