Evidence map›Paper›PMID 32561254›Full record

ReviewTrends in cognitive sciences2020

The Neurobiology of Social Distance.

Danilo Bzdok, Robin I M Dunbar

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
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  12. Loneliness in schizophrenia: Just loneliness.Annals of the New York Academy of Sciences · 2025
    Review
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Danilo BzdokDepartment of Biomedical Engineering, McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada; Quebec Artificial Intelligence Institute (Mila), Montreal, Canada. Electronic address: danilo.bzdok@mcgill.ca.
Robin I M DunbarDepartment of Experimental Psychology, University of Oxford, Oxford, UK. Electronic address: robin.dunbar@psy.ox.ac.uk.

Funding

Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
NIA NIH HHS R01 AG068563NIH HHS R01AG068563A
6 · The paper itself

Abstract

Never before have we experienced social isolation on such a massive scale as we have in response to coronavirus disease 2019 (COVID-19). However, we know that the social environment has a dramatic impact on our sense of life satisfaction and well-being. In times of distress, crisis, or disaster, human resilience depends on the richness and strength of social connections, as well as on active engagement in groups and communities. Over recent years, evidence emerging from various disciplines has made it abundantly clear: perceived social isolation (i.e., loneliness) may be the most potent threat to survival and longevity. We highlight the benefits of social bonds, the choreographies of bond creation and maintenance, as well as the neurocognitive basis of social isolation and its deep consequences for mental and physical health.

Indexed as

Communicable Disease ControlCOVID-19Interpersonal RelationsOnline Social NetworkingBetacoronavirusBrainCoronavirus InfectionsDementiaHumansLonelinessNeural PathwaysPandemicsPhysical DistancingPneumonia, ViralPsychological DistanceResilience, Psychologicalfriendshiplonelinessmass isolationsocial boycottsocial brain

Identifiers

PMID32561254
PMCPMC7266757

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.