Bolla Gergo, Lee Ahee, Berente Dalida Borbala, Szalmas Orsolya, Mangel Tunde, Kamondi Anita, Horvath Andras Attila
School of PhD Studies, Semmelweis University, 57 Lehel ut, 1135, Budapest, Hungary.
Neurocognitive Research Centre, Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Hungary.
Brain Struct Funct. 2025 Nov 10;230(9):174. doi: 10.1007/s00429-025-03039-8.
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.
The online version contains supplementary material available at 10.1007/s00429-025-03039-8.
人类大脑在结构和功能层面均呈现出复杂的半球不对称性。近期研究凸显了这些不对称性在多种神经系统疾病中的重要性，左侧病变往往与更差的临床结局相关。本研究旨在利用静息态功能磁共振成像（rs-fMRI）揭示人类大脑静息态网络连接的偏侧化，探讨其对神经系统疾病病理生理学的影响。在本研究中，我们采用了多方面的分析方法，包括七种图论测量、三种基于体素的指标和偏侧化指数。该研究在两个独立数据集上进行：一个是由102名右利手健康对照参与者组成的本地队列，另一个是来自阿尔茨海默病神经影像学倡议（ADNI）数据库的86名右利手健康对照参与者的比较队列。我们的结果显示，在两个数据集中的几个脑区，静息态功能网络连接存在显著的偏侧化。以下区域在两个队列中均表现出一致的显著左侧偏侧化，即使使用不同指标：小脑（10区、 Crus2、6区）、额叶（眶部、额下回三角部、额上回）、缘上回（后部）、枕叶外侧、颞下回（后部）。右侧偏侧化区域：小脑7b区、额极、距状裂周围、楔叶。多种分析方法和独立队列中偏侧化模式的一致性强调了我们研究结果的重要性。观察到的偏侧化现象可能对各种神经系统疾病的病理生理学具有重要意义，有可能为疾病进展和预后提供见解。
在线版本包含可在10.1007/s00429-025-03039-8获取的补充材料。
