A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response

Introduction: Combination antiretroviral therapy (cART) has been shown to reduce inflammation in persons with HIV (PWH), leading to overall improvements in cognition. However, these improvements are patient-dependent and not always observable over short treatment periods. Methods: We applied a multimodal integrative model to associate various baseline MR neuroimaging metrics with baseline neurocognitive performance and their longitudinal changes over 12 weeks of cART treatment. Features in our model included volumetric data, cerebral blood flow metrics, cerebrovascular reactivity, and diffusion MRI data from cortical, subcortical, and white matter regions of the brain. Our integrative model, which includes multilayered principal component analysis, penalized regression, and feature weight back-propagation, is designed for "large p, small n" data and offers better interpretability than deep-learning methods. Results: There is a modest association between imaging metrics and baseline neurocognitive scores for both PWH and age-matched healthy controls, driven primarily by subcortical regions. In contrast, baseline imaging features exhibited stronger associations with longitudinal changes in cognitive performance over 12 weeks of cART in PWH than with baseline cognitive scores. The multimodal integrative model outperformed all comparable unimodal models in explaining longitudinal cognitive change. Among unimodal analyses, models based on cerebral blood flow and free-water-corrected fractional anisotropy demonstrated the strongest associations. Frequently selected predictors included the frontal pole (cortical gray matter); the amygdala, putamen, and hippocampus (subcortical gray matter); and the posterior limb of the internal capsule (white matter). Discussion: Our approach provides an interpretable statistical framework that integrates complementary information across various imaging modalities into a robust and interpretable model for short-term cognitive trajectories in PWH undergoing cART.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2026-04-13
DOI
https://doi.org/10.3389/fnins.2026.1775047
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response

Yuchuan Zhuang, Giovanni Schifitto, Md Nasir Uddin, Abrar Faiyaz et al.
Frontiers in Neuroscience
HIV Research and Treatment
article

A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response

Yuchuan Zhuang, Giovanni Schifitto, Md Nasir Uddin, Abrar Faiyaz, Alicia Tyrell, Miriam T. Weber, Madalina E. Tivarus, Jianhui Zhong, Xing Qiu, Lu Wang, Nhat Hoang
article en

Abstract

Introduction: Combination antiretroviral therapy (cART) has been shown to reduce inflammation in persons with HIV (PWH), leading to overall improvements in cognition. However, these improvements are patient-dependent and not always observable over short treatment periods. Methods: We applied a multimodal integrative model to associate various baseline MR neuroimaging metrics with baseline neurocognitive performance and their longitudinal changes over 12 weeks of cART treatment. Features in our model included volumetric data, cerebral blood flow metrics, cerebrovascular reactivity, and diffusion MRI data from cortical, subcortical, and white matter regions of the brain. Our integrative model, which includes multilayered principal component analysis, penalized regression, and feature weight back-propagation, is designed for "large p, small n" data and offers better interpretability than deep-learning methods. Results: There is a modest association between imaging metrics and baseline neurocognitive scores for both PWH and age-matched healthy controls, driven primarily by subcortical regions. In contrast, baseline imaging features exhibited stronger associations with longitudinal changes in cognitive performance over 12 weeks of cART in PWH than with baseline cognitive scores. The multimodal integrative model outperformed all comparable unimodal models in explaining longitudinal cognitive change. Among unimodal analyses, models based on cerebral blood flow and free-water-corrected fractional anisotropy demonstrated the strongest associations. Frequently selected predictors included the frontal pole (cortical gray matter); the amygdala, putamen, and hippocampus (subcortical gray matter); and the posterior limb of the internal capsule (white matter). Discussion: Our approach provides an interpretable statistical framework that integrates complementary information across various imaging modalities into a robust and interpretable model for short-term cognitive trajectories in PWH undergoing cART.

Frontiers in NeuroscienceVol. 20
University of Rochester (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 23%
HIV Research and Treatment
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