Evidence map›Paper›PMID 42337633›Full record

ArticleJournal of eating disorders2026

Aberrant large- and mesoscale network segregation and integration in bulimia nervosa.

Peng Zhang, Lirong Tang, Weihua Li, Miao Wang, Yulong Jia, Fengxia Yu, Zhanjiang Li, Zhenchang Wang, Jiani Wang, Guowei Wu and 1 more

Abstract read
In one paragraph

Article in Journal of eating disorders, 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Peng ZhangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Lirong TangBeijing Anding Hospital Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
Weihua LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Miao WangAcademy for Advanced Interdisciplinary Studies, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Yulong JiaDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Fengxia YuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Zhanjiang LiBeijing Anding Hospital Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Jiani WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China. wangjiani7599@163.com.
Guowei WuCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No.16 Lincui Road, Chaoyang District, Beijing, 100020, China. wugw@psych.ac.cn.
Yiling WangDepartment of Radiology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266003, Shandong, China. wangyiling0610@163.com.

Funding

National Natural Science Foundation of China 82572162
6 · The paper itself

Abstract

backgroundGrowing evidence indicates that bulimia nervosa (BN) is more likely driven by network-level dysfunctions rather than abnormalities in isolated brain regions. However, previous studies focusing on specific regions or connectivity features have led to a limited understanding of the complexity and integrality of network in BN. This study aimed to investigate large- and mesoscale network alterations in BN from the perspective of network segregation and integration.

methodsUsing resting-state functional magnetic resonance imaging data from 85 BN patients and 71 healthy controls (HCs) matched for age, sex, and education, we applied a graph-theoretic framework to analyze functional network architecture in BN. Specifically, we examined group differences in within- and between-system functional connectivity (FC) as well as system segregation at both the whole-brain and system levels. Associations between network measures and clinical features were further explored.

resultsCompared with HCs, BN patients exhibited whole-brain reduced within- and between-system FC accompanied by increased system segregation. At the system level, patients showed increased between-system FC of the default mode network (DMN), control network and ventral attention network, along with decreased DMN system segregation. The increased integration of DMN with other systems was associated with higher Beck Depression Inventory (BDI-21) scores in BN patients.

conclusionsThe neural mechanisms of BN involve an imbalance between network segregation and integration at both global and system levels, most pronounced within the DMN, whose alterations are associated with depression and disordered eating behavior. These findings may provide potential neural substrates for some core behavioral deficits in BN.

Indexed as

Bulimia nervosaGraph theoryIntegrationResting-state fMRISegregation

Identifiers

PMID42337633
PMCPMC13366929

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