HIV Cognitive Impairment and Treatment Response: Multimodal Neuroimaging Data

A 14.9 KB Excel file contains neuroimaging metrics and cognitive scores for persons with HIV (PWH) and healthy controls. The dataset, authored by Giovanni Schifitto and last updated in April 2026, was used to build an integrative model for predicting cognitive changes over a 12-week treatment period. It includes features from volumetric, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI modalities.

Use Cases

• Predicting short-term cognitive trajectories in persons with HIV based on baseline multimodal neuroimaging features.
• Comparing the predictive power of unimodal versus multimodal neuroimaging models for cognitive change.
• Identifying key brain regions (e.g., amygdala, hippocampus, frontal pole) associated with treatment response from integrated imaging data.
• Developing interpretable statistical frameworks for 'large p, small n' biomedical data using methods like penalized regression.

Strengths

• Data integrates complementary information from four distinct MRI modalities: volumetric, cerebral blood flow, cerebrovascular reactivity, and diffusion.
• The associated model was designed for interpretability in 'large p, small n' scenarios, outperforming comparable unimodal models.
• Includes longitudinal data tracking cognitive changes over a specific 12-week treatment period.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 14.9 KB file size suggests a very limited scope, likely containing summary or model results rather than raw imaging data.

Provenance

Source

figshare, author Giovanni Schifitto.

Collection Method

Features were extracted from baseline MR neuroimaging and associated with neurocognitive performance in a clinical study.

Time Range

Study includes longitudinal changes measured over 12 weeks.

Freshness

Last updated 2026-04-13 05:47:49; freshness should be verified.

Geography

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