Evidence map›Paper›PMID 41212343›Full record

ArticleBrain structure & function2025

Hemispheric asymmetries in resting-state connectivity: insights from healthy controls and implications for neurological disorders.

Gergo Bolla, Ahee Lee, Dalida Borbala Berente, Orsolya Szalmas, Tunde Mangel, Anita Kamondi, Andras Attila Horvath

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Article in Brain structure & function, 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

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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

The trial behind it

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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

7 authors.

Gergo BollaSchool of PhD Studies, Semmelweis University, 57 Lehel ut, 1135, Budapest, Hungary. gergobolla99@gmail.com.
Ahee LeeFaculty of Medicine, Semmelweis University, Budapest, Hungary.
Dalida Borbala BerenteNeurocognitive Research Centre, Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Hungary.
Orsolya SzalmasDepartment of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Tunde MangelDepartment of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Anita KamondiNeurocognitive Research Centre, Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Hungary.
Andras Attila HorvathNeurocognitive Research Centre, Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain exhibits intricate hemispheric asymmetries at both structural and functional levels. Recent research highlights the significance of these asymmetries in various neurological diseases, with left-sided pathologies often associated with worse clinical outcomes. This study aims to unravel the lateralisation of resting-state network connectivity in the human brain using rs-fMRI, exploring its implications for the pathophysiology of neurological disorders. In this study, we utilized a multifaceted analytical approach with seven graph-theoretical measures, three voxel-based metrics, and the laterality index. The study was conducted on two independent datasets: a Local cohort comprising 102 right-handed healthy control participants, and a comparative cohort of 86 right-handed healthy control participants from the ADNI database.Our results reveal significant lateralisation of resting-state functional network connectivity in several brain regions across both datasets. The following regions exhibited consistent significant left-sided lateralisation in both cohorts, even when using different metrics: Cerebellum (10, Crus2, 6), Frontal (Orbital, Inferior Triangular, Superior), Supramarginal (posterior), Lateral Occipital, Inferior Temporal (posterior). Right lateralisation: Cerebellum 7b, Frontal Pole, Supracalcarine, Juxtapositional Lobule. The consistency of lateralisation patterns across multiple analytical methods and independent cohorts underscores the importance of our findings. The observed lateralisation phenomena might have important implications for the pathophysiology of various neurological diseases, potentially offering insights into disease progression and prognosis.

Indexed as

BrainFunctional LateralityNervous System DiseasesAgedBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeural PathwaysRestBrain lateralisationFunctional connectivityGraph-theoretical analysisHemispheric asymmetryLaterality indexResting-state fMRIVoxel-based metrics

Identifiers

PMID41212343
PMCPMC12602572

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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.