Evidence map›Paper›PMID 41235769›Full record

ArticleHuman brain mapping2025

Lateralization Disruption and Dynamic Balance Alterations in Alzheimer's Disease: Impacts on Hemispheric Interaction and Cognitive Performance.

Juan Wang, Yuxin Li, Yu Yang, Zhenhu Liang, Ping Xie, Xiaoli Li, Yina Guo, Shaobao Li, Xiaoling Chen

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Juan WangSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.ORCID 0000-0002-1596-2179
Yuxin LiSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.
Yu YangSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.
Zhenhu LiangSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.ORCID 0000-0002-2467-9877
Ping XieSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.
Xiaoli LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yina GuoSchool of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China.
Shaobao LiSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.
Xiaoling ChenSchool of Electrical Engineering, Yanshan University, Qinhuangdao, China.ORCID 0000-0003-3677-3753

Funding

Funding Project for the Introduced Overseas Students of Hebei Province C20220337Hebei Innovation Capability Improvement Plan Project 22567619HNational Natural Science Foundation of China 62103354National Natural Science Foundation of China 62271341National Natural Science Foundation of China 62371416National Natural Science Foundation of China 62471428Natural Science Foundation of Hebei Province F2022203081
6 · The paper itself

Abstract

Brain lateralization is considered evolutionarily adaptive. Impaired functional specialization is thought to cause abnormal lateralization in neurological disorders. However, the dynamic changes in brain laterality in Alzheimer's disease (AD) remain unclear. In this study, resting-state fMRI data and neuropsychological assessments from 109 participants (49 AD patients and 60 healthy controls [HC]) were used. Dynamic laterality time series were constructed by extracting the dynamic laterality index (DLI) within each sliding window. We assessed two key features: laterality reversal (LR), reflecting intra-hemispheric processing efficiency, and laterality fluctuation (LF), indicating inter-hemispheric communication. Group differences in dynamic laterality characteristics were analyzed using statistically rigorous methods, regressing out gender, age, years of education, and head movements. Spearman correlation analyses examined the relationship between laterality characteristics and cognitive performance. Our results showed that AD patients exhibited a more pronounced loss of left lateralization as well as stronger right lateralization, especially in the somatomotor network (SMN) and default mode network (DMN). Additionally, we observed decreased LR as well as increased LF with global trends in AD. These divergent changes disrupted the dynamical balance between intra- and inter-hemispheric information interaction. Notably, this imbalance depended on the degree of lateralization, and the higher order cognitive networks with high-level lateralization were more vulnerable. Importantly, the observed abnormal lateralization metrics were associated with worse cognitive impairment. Our study highlights a disruption of dynamic lateralization balance in higher order cortical networks in AD patients and reveals its potential role in the disease's pathophysiology.

Indexed as

Alzheimer DiseaseCerebral CortexCognitive DysfunctionDefault Mode NetworkFunctional LateralityNerve NetAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedAlzheimer's disease (AD)dynamical balancedynamic lateralizationlaterality fluctuation (LF)laterality reversal (LR)

Identifiers

PMID41235769
PMCPMC12616499

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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.