Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics
Currently, HIV-associated neurocognitive disorders (HAND) remains one of the major challenges faced by people living with HIV (PLWH). HAND involves the vulnerability of neural circuits caused by synaptic degeneration and abnormal synaptic pruning. In recent years, connectomics has been gradually app...
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Frontiers Media S.A.
2025-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1467175/full |
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author | Zhongkai Zhou Wei Wang Hui Li Ying Shi Lingling Zhao Yibo Lu Xingchen Wei Hongjun Li |
author_facet | Zhongkai Zhou Wei Wang Hui Li Ying Shi Lingling Zhao Yibo Lu Xingchen Wei Hongjun Li |
author_sort | Zhongkai Zhou |
collection | DOAJ |
description | Currently, HIV-associated neurocognitive disorders (HAND) remains one of the major challenges faced by people living with HIV (PLWH). HAND involves the vulnerability of neural circuits caused by synaptic degeneration and abnormal synaptic pruning. In recent years, connectomics has been gradually applied to HAND research as a cutting-edge method for describing the structural and functional connectivity patterns of the brain, to further elucidate the specific mechanisms underlying these neural circuit vulnerabilities. Using multimodal neuroimaging techniques such as diffusion tensor imaging (DTI), structural magnetic resonance imaging (sMRI), and resting-state functional magnetic resonance imaging (rs-fMRI), researchers can detail the connectome network changes in the brains of PLWH. These technologies offer potential biomarkers for the early diagnosis, prognosis, and treatment monitoring of HAND, while also providing new avenues for personalized prediction of cognitive status. Here, we start with the pathogenesis and risk factors of HAND, providing a comprehensive review of the basic concepts of unimodal and multimodal macro connectomics and related graph theory methods, and we review the latest progress in HAND connectomics research. We emphasize the use of connectomics to identify specific disease patterns of HIV-associated neurodegeneration and discuss the potential research directions and challenges in understanding these diseases from a connectomics perspective. |
format | Article |
id | doaj-art-8aada8246e3f4531bfed7c3a3e12c2b2 |
institution | Kabale University |
issn | 1664-2295 |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Neurology |
spelling | doaj-art-8aada8246e3f4531bfed7c3a3e12c2b22025-01-29T05:21:18ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-01-011610.3389/fneur.2025.14671751467175Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomicsZhongkai Zhou0Wei Wang1Hui Li2Ying Shi3Lingling Zhao4Yibo Lu5Xingchen Wei6Hongjun Li7Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, ChinaDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Magnetic Resonance, The First Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Radiology, The Sixth People's Hospital of Zhengzhou, Zhengzhou, ChinaDepartment of Radiology, The Fourth People's Hospital of Nanning, Nanning, ChinaDepartment of Joint Surgery, Shandong Provincial Hospital, Jinan, ChinaDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, ChinaCurrently, HIV-associated neurocognitive disorders (HAND) remains one of the major challenges faced by people living with HIV (PLWH). HAND involves the vulnerability of neural circuits caused by synaptic degeneration and abnormal synaptic pruning. In recent years, connectomics has been gradually applied to HAND research as a cutting-edge method for describing the structural and functional connectivity patterns of the brain, to further elucidate the specific mechanisms underlying these neural circuit vulnerabilities. Using multimodal neuroimaging techniques such as diffusion tensor imaging (DTI), structural magnetic resonance imaging (sMRI), and resting-state functional magnetic resonance imaging (rs-fMRI), researchers can detail the connectome network changes in the brains of PLWH. These technologies offer potential biomarkers for the early diagnosis, prognosis, and treatment monitoring of HAND, while also providing new avenues for personalized prediction of cognitive status. Here, we start with the pathogenesis and risk factors of HAND, providing a comprehensive review of the basic concepts of unimodal and multimodal macro connectomics and related graph theory methods, and we review the latest progress in HAND connectomics research. We emphasize the use of connectomics to identify specific disease patterns of HIV-associated neurodegeneration and discuss the potential research directions and challenges in understanding these diseases from a connectomics perspective.https://www.frontiersin.org/articles/10.3389/fneur.2025.1467175/fullconnectomicsHIV-associated neurocognitive disordersstructural connectivityfunctional connectivitydefault mode network |
spellingShingle | Zhongkai Zhou Wei Wang Hui Li Ying Shi Lingling Zhao Yibo Lu Xingchen Wei Hongjun Li Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics Frontiers in Neurology connectomics HIV-associated neurocognitive disorders structural connectivity functional connectivity default mode network |
title | Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics |
title_full | Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics |
title_fullStr | Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics |
title_full_unstemmed | Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics |
title_short | Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics |
title_sort | decoding hiv associated neurocognitive disorders a new perspective from multimodal connectomics |
topic | connectomics HIV-associated neurocognitive disorders structural connectivity functional connectivity default mode network |
url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1467175/full |
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