Evidence map›Paper›PMID 42106690›Full record

ArticleBMC medicine2026

Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.

Ziteng Han, Tiantian Liu, Kexin Wang, Guoyuan Yang, Tianyi Yan

Abstract read
In one paragraph

Article in BMC medicine, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ziteng HanSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China.
Tiantian LiuSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China. tiantian2bit@bit.edu.cn.
Kexin WangSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China.
Guoyuan YangSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China. yanggy@bit.edu.cn.
Tianyi YanSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China. yantianyi@bit.edu.cn.

Funding

National Natural Science Foundation of China 62336002
6 · The paper itself

Abstract

backgroundCocaine use disorder (CUD) is highly prevalent and characterized by widespread gray matter atrophy across the cerebral cortex. Yet, it remains unclear whether and how connectome-based circuits and biological features shape these structural abnormalities.

methodsWe mapped cortical atrophy patterns in CUD (discovery cohort: N = 53; replication cohort: N = 74; controls: N = 364) onto the brain's structural connectome, functional connectivity, transcriptomic similarity and receptor similarity architecture. Using a multimodal and multiscale connectivity-based framework, we identified CUD epicenters and evaluated their spatial correspondence with therapeutic brain stimulation targets and individual variations in clinical symptoms.

resultsWe found that CUD-related regional atrophy is constrained by the white matter (WM) structural connectome. Along these WM pathways, regions that share similar haemodynamic activity and molecular features are more likely to exhibit convergent atrophy profiles. By integrating the structural connectome with multiple connectivity blueprints, we subsequently identified CUD epicenters and revealed that the prefrontal and visual cortices serve as core systems. Furthermore, we linked these epicenters to cortical transcriptomic patterns and receptor architectures, identifying synaptic and neural homeostasis-related gene enrichment and the strongest spatial correspondence with serotonergic (5-HT

conclusionsAltogether, our findings establish a structurally constrained framework for the spread of pathology underlying cortical atrophy in CUD, where initial perturbations propagate via structural connectome pathways to vulnerable regions shaped by neural activity and molecular landscapes.

Indexed as

Cerebral CortexCocaine-Related DisordersConnectomeAdultAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedWhite MatterBrain-behaviour relationshipsBrain connectomeCocaine use disorderDisease epicenterMicroscale molecular features

Identifiers

PMID42106690
PMCPMC13326153

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.