Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment
Abstract Despite advancements, the prevalence of HIV-associated neurocognitive impairment remains at approximately 40%, attributed to factors like pre-cART (combination antiretroviral therapy) irreversible brain injury. People with HIV (PWH) treated with cART do not show significant neurocognitive c...
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Nature Portfolio
2024-11-01
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Online Access: | https://doi.org/10.1038/s41598-024-80372-8 |
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author | Md Nasir Uddin Meera V. Singh Abrar Faiyaz Filip Szczepankiewicz Markus Nilsson Zachary D. Boodoo Karli R. Sutton Madalina E. Tivarus Jianhui Zhong Lu Wang Xing Qiu Miriam T. Weber Giovanni Schifitto |
author_facet | Md Nasir Uddin Meera V. Singh Abrar Faiyaz Filip Szczepankiewicz Markus Nilsson Zachary D. Boodoo Karli R. Sutton Madalina E. Tivarus Jianhui Zhong Lu Wang Xing Qiu Miriam T. Weber Giovanni Schifitto |
author_sort | Md Nasir Uddin |
collection | DOAJ |
description | Abstract Despite advancements, the prevalence of HIV-associated neurocognitive impairment remains at approximately 40%, attributed to factors like pre-cART (combination antiretroviral therapy) irreversible brain injury. People with HIV (PWH) treated with cART do not show significant neurocognitive changes over relatively short follow-up periods. However, quantitative neuroimaging may be able to detect ongoing subtle microstructural changes. In this study, we hypothesized that tensor-valued diffusion encoding metrics would provide greater sensitivity than conventional diffusion tensor imaging (DTI) metrics in detecting HIV-associated brain microstructural injury. We further hypothesized that tensor-valued metrics would exhibit stronger associations with blood markers of neuronal and glial injury, such as neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP), as well as with cognitive performance. Using MRI at 3T, 24 PWH and 31 healthy controls underwent cross-sectional examination. The results revealed significant variations in tensor-valued diffusion encoding metrics across white matter regions, with associations observed between these metrics, cognitive performance, NFL and GFAP. Moreover, a significant interaction between HIV status and imaging metrics in gray and white matter was observed, particularly impacting total cognitive scores. Of interest, DTI metrics were less likely to be associated with HIV status than tensor-valued diffusion metrics. These findings suggest that tensor-valued diffusion encoding metrics offer heightened sensitivity in detecting subtle changes associated with axonal injury in HIV infection. Longitudinal studies are needed to further evaluate responsiveness of tensor-valued diffusion b-tensor encoding metrics in the contest HIV-associate mild chronic neuroinflammation. |
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institution | Kabale University |
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language | English |
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spelling | doaj-art-934e4fff63dc4a0e9c548f79b9dd29e82024-11-24T12:24:06ZengNature PortfolioScientific Reports2045-23222024-11-0114111310.1038/s41598-024-80372-8Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairmentMd Nasir Uddin0Meera V. Singh1Abrar Faiyaz2Filip Szczepankiewicz3Markus Nilsson4Zachary D. Boodoo5Karli R. Sutton6Madalina E. Tivarus7Jianhui Zhong8Lu Wang9Xing Qiu10Miriam T. Weber11Giovanni Schifitto12Department of Neurology, University of RochesterDepartment of Neurology, University of RochesterDepartment of Neurology, University of RochesterClinical Sciences Lund, Medical Radiation Physics, Lund UniversityClinical Sciences Lund, Diagnostic Radiology, Lund UniversityDepartment of Microbiology and Immunology, University of RochesterDepartment of Microbiology and Immunology, University of RochesterDepartment of Imaging Sciences, University of RochesterDepartment of Biomedical Engineering, University of RochesterDepartment of Biostatistics and Computational Biology, University of RochesterDepartment of Biostatistics and Computational Biology, University of RochesterDepartment of Neurology, University of RochesterDepartment of Neurology, University of RochesterAbstract Despite advancements, the prevalence of HIV-associated neurocognitive impairment remains at approximately 40%, attributed to factors like pre-cART (combination antiretroviral therapy) irreversible brain injury. People with HIV (PWH) treated with cART do not show significant neurocognitive changes over relatively short follow-up periods. However, quantitative neuroimaging may be able to detect ongoing subtle microstructural changes. In this study, we hypothesized that tensor-valued diffusion encoding metrics would provide greater sensitivity than conventional diffusion tensor imaging (DTI) metrics in detecting HIV-associated brain microstructural injury. We further hypothesized that tensor-valued metrics would exhibit stronger associations with blood markers of neuronal and glial injury, such as neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP), as well as with cognitive performance. Using MRI at 3T, 24 PWH and 31 healthy controls underwent cross-sectional examination. The results revealed significant variations in tensor-valued diffusion encoding metrics across white matter regions, with associations observed between these metrics, cognitive performance, NFL and GFAP. Moreover, a significant interaction between HIV status and imaging metrics in gray and white matter was observed, particularly impacting total cognitive scores. Of interest, DTI metrics were less likely to be associated with HIV status than tensor-valued diffusion metrics. These findings suggest that tensor-valued diffusion encoding metrics offer heightened sensitivity in detecting subtle changes associated with axonal injury in HIV infection. Longitudinal studies are needed to further evaluate responsiveness of tensor-valued diffusion b-tensor encoding metrics in the contest HIV-associate mild chronic neuroinflammation.https://doi.org/10.1038/s41598-024-80372-8Tensor-valued diffusion encodingHIVBrainNeuroimagingCognitionBlood markers |
spellingShingle | Md Nasir Uddin Meera V. Singh Abrar Faiyaz Filip Szczepankiewicz Markus Nilsson Zachary D. Boodoo Karli R. Sutton Madalina E. Tivarus Jianhui Zhong Lu Wang Xing Qiu Miriam T. Weber Giovanni Schifitto Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment Scientific Reports Tensor-valued diffusion encoding HIV Brain Neuroimaging Cognition Blood markers |
title | Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment |
title_full | Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment |
title_fullStr | Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment |
title_full_unstemmed | Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment |
title_short | Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment |
title_sort | tensor valued diffusion mri detects brain microstructural abnormalities in hiv infected individuals with cognitive impairment |
topic | Tensor-valued diffusion encoding HIV Brain Neuroimaging Cognition Blood markers |
url | https://doi.org/10.1038/s41598-024-80372-8 |
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