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全脑分析测量网络通信揭示右侧颞叶癫痫结构功能相关性增加。

Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy.

机构信息

Aix-Marseille Université, CNRS, CRMBM UMR 7339, 13385 Marseille, France; APHM, Hôpitaux de la Timone, Pôle d'imagerie Médicale, CEMEREM, 13005 Marseille, France; Aix-Marseille Université, Institut de Neurosciences des Systèmes, 13385 Marseille, France; INSERM, UMR_S 1106, 13385 Marseille, France.

Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia; Systems Neuroscience Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia.

出版信息

Neuroimage Clin. 2016 May 19;11:707-718. doi: 10.1016/j.nicl.2016.05.010. eCollection 2016.

Abstract

The in vivo structure-function relationship is key to understanding brain network reorganization due to pathologies. This relationship is likely to be particularly complex in brain network diseases such as temporal lobe epilepsy, in which disturbed large-scale systems are involved in both transient electrical events and long-lasting functional and structural impairments. Herein, we estimated this relationship by analyzing the correlation between structural connectivity and functional connectivity in terms of analytical network communication parameters. As such, we targeted the gradual topological structure-function reorganization caused by the pathology not only at the whole brain scale but also both in core and peripheral regions of the brain. We acquired diffusion (dMRI) and resting-state fMRI (rsfMRI) data in seven right-lateralized TLE (rTLE) patients and fourteen healthy controls and analyzed the structure-function relationship by using analytical network communication metrics derived from the structural connectome. In rTLE patients, we found a widespread hypercorrelated functional network. Network communication analysis revealed greater unspecific branching of the shortest path (search information) in the structural connectome and a higher global correlation between the structural and functional connectivity for the patient group. We also found evidence for a preserved structural rich-club in the patient group. In sum, global augmentation of structure-function correlation might be linked to a smaller functional repertoire in rTLE patients, while sparing the central core of the brain which may represent a pathway that facilitates the spread of seizures.

摘要

体内结构-功能关系是理解因病变而导致的大脑网络重组的关键。这种关系在颞叶癫痫等大脑网络疾病中可能特别复杂,因为受干扰的大规模系统既涉及短暂的电事件,也涉及持久的功能和结构损伤。在此,我们通过分析结构连接和功能连接之间的相关性,利用分析网络通信参数来估计这种关系。因此,我们不仅针对整个大脑尺度,而且针对大脑核心和周边区域,针对由病理引起的逐渐拓扑结构-功能重组。我们在 7 名右侧颞叶癫痫(rTLE)患者和 14 名健康对照者中获取了扩散(dMRI)和静息态 fMRI(rsfMRI)数据,并使用源自结构连接组的分析网络通信指标来分析结构-功能关系。在 rTLE 患者中,我们发现了一个广泛的超相关功能网络。网络通信分析显示,结构连接组中的最短路径(搜索信息)的特定分支更多,并且患者组的结构和功能连接之间的全局相关性更高。我们还发现患者组中存在保留的结构丰富俱乐部的证据。总之,结构-功能相关性的全局增强可能与 rTLE 患者较小的功能范围有关,而大脑的核心区域得以保留,这可能代表了促进癫痫发作传播的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23a8/4909094/7a0d93d88a49/gr1.jpg

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