HIV-Associated Cognitive Impairment and Treatment Response from Multimodal Neuroimaging

A tabular dataset presents results from a multimodal integrative model associating baseline MR neuroimaging metrics with cognitive performance in persons with HIV. The model includes volumetric data, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI from brain regions and was applied over a 12-week treatment period. The dataset was authored by Xing Qiu and last updated on figshare in April 2026.

Use Cases

• Modeling longitudinal cognitive change based on baseline neuroimaging features like volumetric data and cerebral blood flow.
• Comparing unimodal vs. multimodal model performance for predicting treatment response in HIV.
• Identifying predictive brain regions such as the amygdala, hippocampus, and frontal pole for cognitive impairment.
• Developing penalized regression frameworks for 'large p, small n' neuroimaging datasets.

Strengths

• Data integrates multiple neuroimaging modalities: volumetric, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI.
• Model is designed for interpretability in 'large p, small n' scenarios, outperforming unimodal analyses.
• Longitudinal analysis covers a 12-week treatment period with combination antiretroviral therapy.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 11.8 KB, indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare

Collection Method

Applied a multimodal integrative statistical model to MR neuroimaging data.

Time Range

Study includes longitudinal changes over a 12-week treatment period.

Freshness

Last updated 2026-04-13 05:47:46; freshness should be verified.

Geography

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