School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
J Clin Neurosci. 2023 Jul;113:86-92. doi: 10.1016/j.jocn.2023.05.011. Epub 2023 May 23.
Previous studies have reported that patients with white matter lesions (WMLs) have abnormal spontaneous brain activity in the resting state. However, the spontaneous neuronal activity of specific frequency bands in WMLs patients is unknown. Here, we included 16 WMLs patients and 13 gender and age-matched healthy controls (HCs) underwent resting-state magnetic resonance imaging (rs-fMRI) scan and studied the specificity of the amplitude of low-frequency fluctuations (ALFF) in WMLs patients in the slow-5 (0.01-0.027 Hz), slow-4 (0.027-0.073 Hz), and typical (0.01-0.08 Hz) frequency bands. In addition, ALFF values of different frequency bands were extracted as classification features and support vector machines (SVM) were used to classify WMLs patients. In all three frequency bands, significant increases in ALFF values in WMLs patients were observed in the cerebellum. In the slow-5 band, the ALFF values of the left anterior cingulate and paracingulate gyri (ACG), and the right precentral gyrus, rolandic operculum and inferior temporal gyrus in WMLs patients were lower than those in HCs. In the slow-4 band, ALFF values were lower in WMLs patients than in HCs at the left ACG, the right median cingulate and paracingulate gyri, parahippocampal gyrus, caudate nucleus, and the bilateral lenticular nucleus, putamen. In the SVM classification model, the classification accuracy of slow-5, slow-4 and typical frequency bands is 75.86%, 86.21% and 72.41%, respectively. The results indicate that the ALFF abnormalities in WMLs patients have frequency specificity, and the ALFF abnormalities in the slow-4 frequency band may serve as imaging markers for WMLs.
先前的研究报告称,患有脑白质病变(WML)的患者在静息状态下存在异常的自发性脑活动。然而,WML 患者特定频段的自发性神经元活动尚不清楚。在这里,我们纳入了 16 名 WML 患者和 13 名性别和年龄匹配的健康对照者(HCs)进行静息态磁共振成像(rs-fMRI)扫描,并研究了 WML 患者慢波 5(0.01-0.027 Hz)、慢波 4(0.027-0.073 Hz)和典型(0.01-0.08 Hz)频段的低频波动(ALFF)振幅的特异性。此外,提取了不同频段的 ALFF 值作为分类特征,并使用支持向量机(SVM)对 WML 患者进行分类。在所有三个频段中,WML 患者的小脑 ALFF 值均显著升高。在慢波 5 频段,WML 患者的左侧扣带回和旁扣带回前部(ACG)以及右侧中央前回、 Rolandic 脑回和颞下回的 ALFF 值低于 HCs。在慢波 4 频段,WML 患者的 ALFF 值低于 HCs 的左侧 ACG、右侧中央扣带回和旁扣带回、海马旁回、尾状核和双侧豆状核、壳核。在 SVM 分类模型中,慢波 5、慢波 4 和典型频段的分类准确率分别为 75.86%、86.21%和 72.41%。结果表明,WML 患者的 ALFF 异常具有频率特异性,慢波 4 频段的 ALFF 异常可能作为 WML 的影像学标志物。