ArticleHuman brain mapping2021
Human immune deficiency virus-related structural alterations in the brain are dependent on age.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Altered angular gyrus activation during the digit symbol substitution test in people living with HIV: beyond information processing speed deficits.Scientific reports · 2025Article
- Cardiovascular Disease, Brain Glucose Metabolism, and Neurocognitive Decline in People With Human Immunodeficiency Virus.Open forum infectious diseases · 2024Article
- White and Gray Matter Changes are Associated With Neurocognitive Decline in HIV Infection.Annals of neurology · 2024Article
- A radiomics-based brain network in T1 images: construction, attributes, and applications.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Circulating endothelial and angiogenic cells predict hippocampal volume as a function of HIV status.Journal of neurovirology · 2023Article
- Central Nervous System Impact of Perinatally Acquired HIV in Adolescents and Adults: an Update.Current HIV/AIDS reports · 2022Review
- A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI.Frontiers in aging neuroscience · 2022Article
- Human immune deficiency virus-related structural alterations in the brain are dependent on age.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, it is still unknown whether human immune deficiency virus (HIV)-related structural alterations in the brain are dependent on age. With people living with HIV at different ages, we aim to investigate age-specific structural alterations in HIV patients. Eighty-three male HIV patients and eighty-three age-matched male controls were enrolled, and high-resolution T1 weighted images were collected and analyzed with four morphological metrics. Then, statistical analyses were respectively conducted to ascertain HIV effects, age effects, and medication effects in brain structure of HIV patients, and the relationship with neuropsychological evaluations were further explored. Finally, discriminative performances of these structural abnormalities were quantitatively testified with three machine learning models. Compared with healthy controls, HIV patients displayed lower gray matter volumes (GMV), lower gyrification index, deeper sulcus depth, and larger cortical thickness (CTH). Age-specific differences were found in GMV and CTH: young-aged HIV patients displayed more obvious morphological alterations than middle-aged HIV patients when comparing corresponding age-matched healthy controls. Furthermore, age-specific long-term medication effect of combination antiretroviral therapy were also presented. Additionally, several subcortical structural changes were negatively associated with language, attention and motor functions. Finally, three machine learning models demonstrated young-aged HIV patients were easier to be recognized than middle-aged HIV patients. Our study indicated young-aged HIV patients were more vulnerable to HIV infection in brain structure than middle-aged patients, and future studies should not ignore the age effect in studying the HIV-related abnormalities.
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