Evidence map›Paper›PMID 41350504›Full record

ArticleCognitive, affective & behavioral neuroscience2026

Brain activity and functional connectivity patterns associated with loneliness: A resting-state fMRI study.

Fenghua Zhang, Jin Yang, Xiaoqiang Yao, Chengzhen Liu, Xueyang Wang

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Article in Cognitive, affective & behavioral neuroscience, 2026. 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

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fenghua ZhangSchool of Psychology, Jiangxi Normal University, No. 99, Ziyang Avenue, Nanchang, 330022, China.ORCID 0009-0002-6150-5734
Jin YangSchool of Psychology, Jiangxi Normal University, No. 99, Ziyang Avenue, Nanchang, 330022, China. y3j2xl@126.com.
Xiaoqiang YaoCollege of Business Administration, Fujian Jiangxia University, University Town, No. 2, Xiyuan Gong Road, Fuzhou, 350108, Fujian, China. psyyxq@gmail.com.ORCID 0000-0002-9985-414X
Chengzhen LiuFaculty of Psychology, Southwest University, Chongqing, 400715, China.
Xueyang WangFaculty of Psychology, Southwest University, Chongqing, 400715, China.

Funding

National Social Science Fund of China 22VRC191the Key Program of Education Scientific Planning of Jiangxi Province 21ZD021the Key Research Institute Project of Humanities and Social Science in Universities of Jiangxi Province JD20066
6 · The paper itself

Abstract

Loneliness is an unpleasant subjective experience associated with significant psychological and physical health problems. With increasing urbanization and aging populations, loneliness is becoming a global public health concern. Thus, understanding the neural correlates of loneliness is crucial for developing targeted intervention approaches. In the current study, we collected resting-state fMRI data from 238 young adults (ages 17-26; 59 males, 179 females) and used fractional amplitude of low-frequency fluctuations (fALFF) and functional connectivity (FC) analyses to investigate the neural correlates of loneliness. Results revealed that loneliness was negatively correlated with fALFF in the right posterior precuneus. Functional connectivity analyses showed that loneliness was positively correlated with connectivity between the right posterior precuneus and right superior frontal gyrus, and negatively correlated with connectivity between the right ventromedial prefrontal cortex and a network including the right cerebellum, left fusiform gyrus, and right superior occipital gyrus. These findings reveal neural correlates of loneliness, including distinct patterns of intrinsic activity in the posterior precuneus and specific functional connectivity patterns involving regions associated with social cognition and emotional regulation. The results provide neural evidence for understanding individual differences in loneliness and could potentially inform future research on neurostimulation and cognitive-behavioral interventions targeting these specific brain networks.

Indexed as

BrainConnectomeLonelinessNerve NetAdolescentAdultBrain MappingCerebellumFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysParietal LobePrefrontal CortexRestAmplitude of low-frequency fluctuationFunctional connectivityLonelinessPosterior precuneusResting-stateSocial neuroscience

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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 Socratic graph.