Evidence map›Paper›PMID 41015628›Full record

ArticleBrain topography2025

Relationship of Interhemispheric Signal Propagation and Severity of Stroke-induced Damage and Unilateral Neglect: A Retrospective Study.

Wanying Zhao, Huanxin Xie, Weiqun Song, Lei Cao, Linlin Ye

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Article in Brain topography, 2025. 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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0cells of the map it votes in
0citing papers 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wanying ZhaoDepartment of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, China.
Huanxin XieDepartment of Orthopedics, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Weiqun SongDepartment of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lei CaoDepartment of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, China. caolei_xw@163.com.
Linlin YeDepartment of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, China. yelinlin_xw@163.com.

Funding

National Natural Science Foundation of China 82272593National Natural Science Foundation of China,China 82002386
6 · The paper itself

Abstract

Unilateral neglect (UN) is a common post-stroke neurocognitive deficit linked to interhemispheric interactions, though mechanisms remain unclear. This study evaluated the 'bimodal balance recovery' model in UN, exploring its relationship with interhemispheric connectivity and proposing a stratification framework for patient categorization. Thirty stroke patients with UN and 15 healthy controls were recruited. Interhemispheric signal propagation (ISP) was assessed using transcranial magnetic stimulation-electroencephalography. UN severity was quantified using a battery of paper-and-pencil tasks, and overall patient functioning was evaluated using the Activities of Daily Living Scale, Fugl-Meyer Assessment, and Berg Balance Scale. Analyses of the Schenkenberg Line Bisection Test, Albert's Cancellation Task, and Ota's Cancellation Task indicated that quadratic models provided a better fit than linear regressions. A novel metric, the PenPCA Index, was derived using Principal Component Analysis (PCA) to assess the complex relationship between ISP and UN. This index demonstrated a bimodal relationship with ISP, effectively distinguishing between negative and positive correlations with the PenPCA Index. This study introduces the PenPCA Index, underscores the bimodal UN-ISP relationship, and offers a stratified assessment framework for stroke patients.

Indexed as

BrainFunctional LateralityPerceptual DisordersStrokeAdultAgedElectroencephalographyFemaleHumansMaleMiddle AgedNeuropsychological TestsRetrospective StudiesSeverity of Illness IndexTranscranial Magnetic StimulationISPStrokeTMS-EEGUnilateral neglect

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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 OpenQuestion graph.