Evidence map›Paper›PMID 42056591›Full record

ArticleBrain structure & function2026

Functional Breakdown of Temporoparietal Junction Interaction in High-depression Individuals: Evidence from Multi-Metric Connectomics.

Xiaotong Wen, Yao Fengge, Bin Han, Guodong Wei, Yuehan Gao, Yuying Chen, Ziyu Hao, Huanhuan Li, Fengyu Dou

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Article in Brain structure & function, 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

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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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaotong WenDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Yao FenggeDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Bin HanDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Guodong WeiDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Yuehan GaoDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Yuying ChenDepartment of Psychology, Renmin University of China, Beijing, 100872, China.
Ziyu HaoHuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China.
Huanhuan LiDepartment of Psychology, Renmin University of China, Beijing, 100872, China. psylihh@ruc.edu.cn.
Fengyu DouDepartment of Psychology, Renmin University of China, Beijing, 100872, China. raymond361@163.com.

Funding

People's Psychology Innovation Research Fund of the Department of Psychology at Renmin University of China RXA002
6 · The paper itself

Abstract

Depression involves impaired cognitive, affective, and social functions associated with aberrant brain network interactions. The temporoparietal junction (TPJ), a multisensory integration hub, exhibits depression-related connectivity alterations, yet the roles of its subregions during subclinical stages remain unclear. This study examined TPJ subregional communication in non-clinical high-depression individuals. Resting-state fMRI data from 586 medication-free young adults were analyzed. Participants were divided into high-depression (HD, N = 130) and low-depression (LD, N = 130) groups using Beck Depression Inventory scores. TPJ was parcellated into anterior (aTPJ), posterior (pTPJ), and ventral (vTPJ) subregions via community detection. Multi-metric connectivity (functional connectivity/FC, total interdependence/TI, Granger causality/GC) seeded from TPJ subregions was compared between groups. Support vector machine (SVM) fusion analysis identified high-contribution features for network alteration modeling. TPJ subregions showed depression-related connectivity patterns: (1) Altered default mode network DMN interactions featuring enhanced anterior DMN (medial prefrontal cortex) connectivity and weakened posterior DMN (posterior cingulate/precuneus) connectivity; (2) Disrupted left TPJ-reward pathway communication (ventral striatum, putamen, amygdala); (3) Right TPJ/left vTPJ hyperconnectivity with cognitive control systems (frontoparietal network, orbitofrontal cortex, anterior cingulate cortex); (4) Enhanced somatosensory-motor connectivity with reduced visual/auditory input; (5) Impaired intra-TPJ communication. TPJ subregions exhibit distinct dysconnectivity patterns in non-clinical depression, affecting self-referential processing, reward integration, and cognitive control. Multi-metric profiling identifies TPJ as a potential pathophysiological biomarker.

Indexed as

ConnectomeDepressionParietal LobeTemporal LobeAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung AdultBrain functional networkDepressionMulti-metric fusionTemporoparietal junction

Identifiers

PMID42056591

What Socratic holds

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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 Socratic graph.