外伤性脑损伤患者脑形态结构特征与认知和运动缺陷的相关性。

IF 1.8 Q3 CLINICAL NEUROLOGY
Neurotrauma reports Pub Date : 2025-01-24 eCollection Date: 2025-01-01 DOI:10.1089/neur.2024.0091
Alaleh Alivar, Soha Saleh, Michael Glassen, Easter S Suviseshamuthu, Vikram Shenoy Handiru, Didier Allexandre, Guang H Yue
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引用次数: 0

摘要

创伤性脑损伤(TBI)导致大脑网络的变化,随之而来的是长期的行为和社会障碍。本研究通过形态磁共振成像(MRI)和弥散张量成像(DTI)数据,探讨脑外伤患者脑白质(WM)和灰质(GM)结构变化与神经行为和身体功能缺陷之间的关系。基于结构mri的分形分析已成为测量WM和GM形态的一种有前途的新方法。DTI指标反映了WM的微观结构特性,而分形维数(FD)被认为是系统形态测量复杂性的度量,从而提供了关于大脑结构的补充信息。本研究包括10名有平衡/姿势控制缺陷的中重度脑外伤患者和8名健康对照者。利用FD和结构连通性指标测量基于网络的GM和WM形态,并利用DTI评估主要WM束的分数各向异性(FA)。使用偏最小二乘相关分析评估脑结构(FA和FD)测量与许多神经心理学评估和感觉运动功能结果之间的关联。研究结果表明,脑损伤患者的默认模式网络、显著性网络、感觉运动网络和额顶叶网络的复杂性与认知和平衡结果呈正相关。相反,在DTI连通性测量中,只有辐射冠、下纵束和小脑中脚等少数区域与TBI组的行为结果密切相关。我们的研究表明,FD测量的大脑结构复杂性是一种有前途的补充方法,可以作为TBI人群认知和感觉运动功能的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlations Between Morpho-structural Properties of the Brain and Cognitive and Motor Deficits in Individuals with Traumatic Brain Injury.

Traumatic brain injury (TBI) results in changes in brain networks followed by long-lasting behavioral and social impairments. This study explores the relationship between neurobehavioral as well as physical function deficits and structural changes in brain white matter (WM) and gray matter (GM) in individuals with TBI by evaluating morphometric magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) data. The structural MRI-based fractal analysis has emerged as a promising new approach to measure the morphology of the WM and GM. While DTI metrics reflect the microstructural properties of WM, the fractal dimension (FD) is regarded as a measure of morphometric complexity of the system, thus providing complementary information on the brain structure. This study included 10 individuals having moderate-to-severe TBI with balance/postural control deficits and 8 healthy controls. The network-based GM and WM morphologies were measured using FD and structural connectivity metrics, and fractional anisotropy (FA) was assessed using DTI in major WM tracts. The associations between brain structural (FA and FD) measures and a number of neuropsychological assessment and sensorimotor function outcomes were evaluated using partial least square correlation analysis. Our findings showed that the complexity in GM of default mode network, salience network, sensorimotor network, and frontoparietal network is positively correlated with the performance in cognitive and balance outcomes in patients with TBI. On the contrary, in DTI connectivity measures, only few regions including corona radiata, inferior longitudinal fasciculus, and middle cerebellar peduncle were strongly correlated with the behavioral outcomes in the TBI group. Our study suggests that the brain structure complexity measured by FD is a promising and complementary approach to DTI for potentially serving as a biomarker of cognitive and sensorimotor functions in TBI population.

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CiteScore
2.40
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