Talebi Samaneh, Pourmotahari Fatemeh, Olazadeh Keyvan, Alavi Majd Hamid, Tabatabaei Seyyed Mohammad
Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Community Medicine, Dezful University of Medical Sciences, Dezful, Iran.
Iran J Child Neurol. 2025;19(1):65-77. doi: 10.22037/ijcn.v19i1.44921. Epub 2025 Jan 7.
Traumatic brain injury (TBI) is one of the most common types of brain injuries associated with cognitive impairments. Functional magnetic resonance imaging (fMRI) studies can provide a unique opportunity to examine brain connectivity patterns and understand the neural substrates of cognitive outcomes following traumatic injury. Therefore, this study aims to determine changes in functional connectivity patterns in patients with TBI compared to healthy individuals using two graph models, adaptive dense subgraph discovery (ADSD) and variance component.
MATERIALS & METHODS: This study used fMRI data downloaded from https://openneuro.org. These data included 14 patients with TBI aged between 18 and 36 and 12 healthy individuals (female: N=6, male: N=6) aged between 19 and 52. Out of the 74 regions examined, a cluster of 18 regions related to TBI was identified using the ADSD model. Subsequently, these identified regions were used as input for the variance component model to investigate changes in connectivity patterns.
Functional connectivity between an 18-brain region cluster, such as the Rectus (Left, Right), Supp_Motor_Area (Left, Right), and Middle Cingulum (Left, Right), differed between the patient and healthy groups. Based on the analysis of functional connectivity between pairs of brain regions, 153 connections between pairs of brain regions were compared in the two groups, out of which 63 connections showed significant differences between the two groups. Compared to other regions, Supp_Motor_Area_Right and Rectus_Left had more connections.
The study's results indicate that the functional connectivity between the Cingulum, Hippocampus, Fusiform, Supp_Motor_Area, and Precentral regions differs between the two groups. Since these regions are involved in processes such as memory, learning, spatial orientation, face recognition, coordination, and motor control, changes in their functional connectivity may lead to impairments in these areas.
创伤性脑损伤(TBI)是与认知障碍相关的最常见脑损伤类型之一。功能磁共振成像(fMRI)研究可为检查脑连接模式和理解创伤性损伤后认知结果的神经基础提供独特机会。因此,本研究旨在使用两种图模型,即自适应密集子图发现(ADSD)和方差成分,确定TBI患者与健康个体相比功能连接模式的变化。
本研究使用从https://openneuro.org下载的fMRI数据。这些数据包括14名年龄在18至36岁之间的TBI患者和12名年龄在19至52岁之间的健康个体(女性:N = 6,男性:N = 6)。在检查的74个区域中,使用ADSD模型识别出一组与TBI相关的18个区域。随后,将这些识别出的区域用作方差成分模型的输入,以研究连接模式的变化。
患者组和健康组之间,如直肌(左、右)、辅助运动区(左、右)和中央扣带(左、右)等18个脑区集群之间的功能连接存在差异。基于对脑区对之间功能连接的分析,在两组中比较了脑区对之间的153条连接,其中63条连接在两组之间显示出显著差异。与其他区域相比,右侧辅助运动区和左侧直肌的连接更多。
研究结果表明,两组之间扣带、海马、梭状回、辅助运动区和中央前回区域之间的功能连接存在差异。由于这些区域参与记忆、学习、空间定向、人脸识别、协调和运动控制等过程,其功能连接的变化可能导致这些领域的损伤。