Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach.

Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology - 1 Dec 2022

Paul Robert H, Cho Kyu, Belden Andrew, Carrico Adam W, Martin Eileen, Bolzenius Jacob, Luckett Patrick, Cooley Sarah A, Mannarino Julie, Gilman Jodi M, Miano Mariah, Ances Beau M

Abstract excerpt

The current study applied data-driven methods to identify and explain novel cognitive phenotypes of HIV. Methods: 388 people with HIV (PWH) with an average age of 46 (15.8) and median plasma CD4+ T-cell count of 555 copies/mL (79% virally suppressed) underwent cognitive testing and 3T neuroimaging. Demographics, HIV disease variables, and health comorbidities were recorded within three months of cognitive...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cognition
Share to Cognitive Dysfunction

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Executive Function

Share to HIV Infections

Share to Neuropsychological Tests

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 34981318
DOI: 10.1007/s11481-021-10045-0
PMCID: PMC10364465

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach.PMID 34981318Read ↗

Machine Learning Approaches to Understand Cognitive Phenotypes in People With HIV.Semantic proximity Read ↗

Predicting Neurobehavioral Outcomes in People with HIVSemantic proximity Read ↗

Genome-wide association study of HIV-associated neurocognitive disorder (HAND): A CHARTER group study.Semantic proximity Read ↗

Changing clinical phenotypes of HIV-associated neurocognitive disorders.Semantic proximity Read ↗

Genome-wide association study of neurocognitive impairment and dementia in HIV-infected adults.Semantic proximity Read ↗

Genomic Factors and Therapeutic Approaches in HIV-Associated Neurocognitive Disorders: A Comprehensive ReviewSemantic proximity Read ↗

Prediction of HIV-associated neurocognitive disorder (HAND) from three genetic features of envelope gp120 glycoproteinSemantic proximity Read ↗

The Genetic Fingerprint of HIV in the Brain: Insights into Neurocognitive DysfunctionSemantic proximity Read ↗

Effect of HIV clade differences on the onset and severity of HIV-associated neurocognitive disordersSemantic proximity Read ↗

Evolving clinical phenotypes in HIV-associated neurocognitive disorders.Semantic proximity Read ↗

Frailty and prefrailty phenotypes increase the odds of abnormal cognitive impairment screens in people with HIV.Semantic proximity Read ↗

Genetic Variations in EIF2AK3 are Associated with Neurocognitive Impairment in People Living with HIV.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.