Yotsuya Chihiro, Watanabe Keita, Kasai Sera, Umemura Yoshihito, Shintaku Tomohiro, Ishimoto Yuka, Sasaki Miho, Nagaya Haruka, Tatsuo Soichiro, Mikami Tatsuya, Tamada Yoshinori, Ide Satoru, Tomiyama Masahiko, Kakeda Shingo
Department of Radiology, Graduate School of Medicine, Hirosaki University, 5 Zaifu-Cho, Hirosaki, Aomori, 036-8562, Japan.
Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajiimachi, Jokyo-Ku, Kyoto, 602-8566, Japan.
Jpn J Radiol. 2025 Jun 18. doi: 10.1007/s11604-025-01791-9.
Previous research indicates brain network alterations in the default mode network (DMN), salience network (SN), and central-executive network (CEN) in individuals with mild cognitive impairment (MCI). However, replication has been inconsistent due to small, varied samples. We aimed to explore intra- and inter-networks alternations among DMN, SN, and CEN in individuals with MCI using multivariate source-based morphometry (SBM) with a larger, population-based sample.
This cross-sectional study included 1,997 participants (median age: 69 years; 61.9% female) who underwent three-dimensional (3D) T1-weighed imaging with 3 T magnetic resonance imaging (MRI). They were classified into 1,236 healthy controls (HC) and 761 individuals with MCI. SBM was used to extract triple brain networks as structural networks, and Z-scores were calculated. Intra-network comparisons of DMN, SN, and CEN between HC and MCI groups were conducted using logistic regression analysis. Inter-network comparisons among the triple brain networks were performed using structural equation modeling (SEM).
Connectivity (median Z score) of each network was lower in the MCI group than in the HC group: DMN (0.08 vs. - 0.12), SN (0.08 vs. - 0.23), and CEN (0.07 vs. - 0.06). Logistic regression showed significant association of SN connectivity with MCI (odds ratio 0.862, p < 0.05). SEM analysis revealed a significant group difference in the model where SN mediated input from CEN to DMN.
We found altered network patterns in individuals with mild cognitive impairment, suggesting a transformation in network connectivity among DMN, SN, and CEN, particularly compensating for degraded SN connectivity.
先前的研究表明,轻度认知障碍(MCI)患者的默认模式网络(DMN)、突显网络(SN)和中央执行网络(CEN)存在脑网络改变。然而,由于样本量小且各不相同,研究结果的重复性较差。我们旨在使用基于多元源的形态测量学(SBM),以更大的基于人群的样本,探索MCI患者DMN、SN和CEN内及网络间的改变。
这项横断面研究纳入了1997名参与者(中位年龄:69岁;61.9%为女性),他们接受了3T磁共振成像(MRI)的三维(3D)T1加权成像。他们被分为1236名健康对照者(HC)和761名MCI患者。使用SBM提取三个脑网络作为结构网络,并计算Z分数。使用逻辑回归分析对HC组和MCI组之间的DMN、SN和CEN进行网络内比较。使用结构方程模型(SEM)对三个脑网络进行网络间比较。
MCI组各网络的连通性(中位Z分数)低于HC组:DMN(0.08对-0.12)、SN(0.08对-0.23)和CEN(0.07对-0.06)。逻辑回归显示SN连通性与MCI有显著关联(优势比0.862,p<0.05)。SEM分析显示,在SN介导从CEN到DMN输入的模型中存在显著的组间差异。
我们发现轻度认知障碍患者的网络模式发生了改变,这表明DMN、SN和CEN之间的网络连通性发生了转变,特别是对退化的SN连通性进行了补偿。