Evidence map›Paper›PMID 40102337›Full record

ArticleBrain imaging and behavior2025

The relationship between social network size and brain structure in older adults living with HIV.

Vinaya Hari, Nancy E Mayo, Marie-Josee Brouillette, MaryAnn Noonan, Lesley K Fellows

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Article in Brain imaging and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Vinaya HariDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. vinaya.hari@mail.mcgill.ca.ORCID https://orcid.org/0000-0002-1815-5460
Nancy E MayoDepartment of Medicine, Division of Geriatrics, Graduate Program in Clinical and Translational Research, School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.
Marie-Josee BrouilletteDepartment of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
MaryAnn NoonanDepartment of Experimental Psychology, University of Oxford, Oxford, UK.
Lesley K FellowsDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The social brain hypothesis suggests that primate brains evolved to manage social group complexities. While chronic HIV infection is associated with both structural brain changes and social exclusion, the possibility that social experience may contribute to brain changes has not been studied in this population. Here, we aimed to estimate the direction and strength of the relationship between gray matter volume and social network size in older people living with HIV in Canada. Fifty-eight HIV + participants (3 women) from the Positive Brain Health Now cohort underwent structural brain imaging and reported the size of their social network. We tested the relationship between social network size and gray matter volume in key brain regions previously identified in healthy older adults. Negative correlations were observed between social network size and gray matter volume in all regions of interest, adjusting for age, education, and total intracranial volume. The strongest correlation was in the left anterior cingulate cortex. We found evidence that social network size is related to gray matter volume in brain regions involved in social behavior among older people, mostly men, with longstanding HIV infection. However, the direction of this effect was opposite to that predicted. This echoes some previous work in healthy male samples. These findings suggest the need to consider social as well as biological variables in studying the brain impacts of living with HIV. Further work is needed to clarify which social variables have the greatest influence, and how they affect the brain.

Indexed as

BrainGray MatterHIV InfectionsSocial NetworkingSocial SupportAgedCanadaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeGray matter volumeHIV/AIDSMagnetic resonance imagingSocial behaviorSocial network size

Identifiers

PMID40102337

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.