Evidence map›Paper›PMID 35991809›Full record

ArticleNeuroscience insights2022

The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research.

Shogo Kajimura, Ayahito Ito

Abstract readComment
In one paragraph

Article in Neuroscience insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Shogo KajimuraFaculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan.ORCID https://orcid.org/0000-0002-8617-7872
Ayahito ItoResearch Institute for Future Design, Kochi University of Technology, Kochi, Japan.ORCID https://orcid.org/0000-0001-5217-7340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human functional brain imaging research over the last 2 decades has shown that data from resting-state brain activity can help predict various psychological and pathological variables and brain function during tasks. However, most variables have been attributed to the individual brain. Recently, several studies have aimed to understand interpersonal relationships based on inter-individual similarity or dissimilarity of functional connectome. In this commentary, we introduce the studies that have opened up a new era of interpersonal research using human brain imaging.

Indexed as

Functional connectivityfunctional connectomeinterpersonal relationshipmachine learningresting-state fMRI

Identifiers

PMID35991809
PMCPMC9386479

What OpenQuestion holds

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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.