Evidence map›Paper›PMID 41809438›Full record

ArticleBrain communications2026

Disrupted brain topological network and its association with clinical features in posterior cortical atrophy.

Min Chu, Qianqian He, Min Cui, Hong Ye, Caishui Yang, Liyong Wu

Abstract read
In one paragraph

Article in Brain communications, 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Min ChuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.ORCID https://orcid.org/0000-0001-7572-6162
Qianqian HeDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Min CuiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Hong YeDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Caishui YangFaculty of Psychology, Beijing Normal University, Beijing 100875, China.ORCID https://orcid.org/0000-0003-4932-8368
Liyong WuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.ORCID https://orcid.org/0000-0002-1251-6130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characteristics of structural brain topological network alterations and their correlation with clinical features in posterior cortical atrophy (PCA) remain elusive. This study aims to explore the structural topological network alterations and their correlation with clinical features in PCA. Thirty-four patients with PCA and 34 healthy controls were enrolled in this cross-sectional study and underwent diffusion tensor imaging, structural MRI and neuropsychological assessment. The graph theory method was applied to capture the individual structural properties of the network. Partial correlation analysis was conducted to investigate the clinical relevance of the network properties. The global metrics of the structural and topological network are altered in the PCA group. The nodal metrics were changed in the occipital, parietal, temporal and frontal lobes. Global network metrics are associated with cognition and disease severity. For the node associated with apraxia, finger agnosia, left-right disorientation and agnosia for colour, face and object, we observed a similar but not identical nodal distribution, which was mainly distributed in the parietal cortex. Notably, we observed frontal nodes, including the orbital gyrus, contribute to the left-right disorientation and colour agnosia, and the rectus contributes to the object agnosia. This study helps us understand the underlying mechanism of the symptom network in PCA and provides a promising biomarker for PCA.

Indexed as

diffusion tensor imaginggraph theoryposterior cortical atrophytopological network

Identifiers

PMID41809438
PMCPMC12971006

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.