Ji Yu, Wang Yuan-Yuan, Cheng Qi, Fu Wen-Wen, Huang Shui-Qin, Zhong Pei-Pei, Chen Xiao-Lin, Shu Ben-Liang, Wei Bin, Huang Qin-Yi, Wu Xiao-Rong
Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Front Neurosci. 2023 Jul 20;17:1227081. doi: 10.3389/fnins.2023.1227081. eCollection 2023.
There is increasing evidence that patients with retinal detachment (RD) have aberrant brain activity. However, neuroimaging investigations remain focused on static changes in brain activity among RD patients. There is limited knowledge regarding the characteristics of dynamic brain activity in RD patients.
This study evaluated changes in dynamic brain activity among RD patients, using a dynamic amplitude of low-frequency fluctuation (dALFF), k-means clustering method and support vector machine (SVM) classification approach.
We investigated inter-group disparities of dALFF indices under three different time window sizes using resting-state functional magnetic resonance imaging (rs-fMRI) data from 23 RD patients and 24 demographically matched healthy controls (HCs). The k-means clustering method was performed to analyze specific dALFF states and related temporal properties. Additionally, we selected altered dALFF values under three distinct conditions as classification features for distinguishing RD patients from HCs using an SVM classifier.
RD patients exhibited dynamic changes in local intrinsic indicators of brain activity. Compared with HCs, RD patients displayed increased dALFF in the bilateral middle frontal gyrus, left putamen (Putamen_L), left superior occipital gyrus (Occipital_Sup_L), left middle occipital gyrus (Occipital_Mid_L), right calcarine (Calcarine_R), right middle temporal gyrus (Temporal_Mid_R), and right inferior frontal gyrus (Frontal_Inf_Tri_R). Additionally, RD patients showed significantly decreased dALFF values in the right superior parietal gyrus (Parietal_Sup_R) and right paracentral lobule (Paracentral_Lobule_R) [two-tailed, voxel-level < 0.05, Gaussian random field (GRF) correction, cluster-level < 0.05]. For dALFF, we derived 3 or 4 states of ALFF that occurred repeatedly. There were differences in state distribution and state properties between RD and HC groups. The number of transitions between the dALFF states was higher in the RD group than in the HC group. Based on dALFF values in various brain regions, the overall accuracies of SVM classification were 97.87, 100, and 93.62% under three different time windows; area under the curve values were 0.99, 1.00, and 0.95, respectively. No correlation was found between hamilton anxiety (HAMA) scores and regional dALFF.
Our findings offer important insights concerning the neuropathology that underlies RD and provide robust evidence that dALFF, a local indicator of brain activity, may be useful for clinical diagnosis.
越来越多的证据表明，视网膜脱离（RD）患者存在异常的脑活动。然而，神经影像学研究仍集中于RD患者脑活动的静态变化。关于RD患者动态脑活动特征的了解有限。
本研究使用低频振幅波动（dALFF）、k均值聚类方法和支持向量机（SVM）分类方法，评估RD患者动态脑活动的变化。
我们使用来自23例RD患者和24例人口统计学匹配的健康对照（HCs）的静息态功能磁共振成像（rs-fMRI）数据，研究了三种不同时间窗大小下dALFF指标的组间差异。采用k均值聚类方法分析特定的dALFF状态及其相关的时间特性。此外，我们选择三种不同条件下改变的dALFF值作为分类特征，使用SVM分类器区分RD患者和HCs。
RD患者表现出脑活动局部内在指标的动态变化。与HCs相比，RD患者在双侧额中回、左侧壳核（Putamen_L）、左侧枕上回（Occipital_Sup_L）、左侧枕中回（Occipital_Mid_L）、右侧距状裂（Calcarine_R）、右侧颞中回（Temporal_Mid_R）和右侧额下回（Frontal_Inf_Tri_R）的dALFF增加。此外，RD患者右侧顶上小叶（Parietal_Sup_R）和右侧中央旁小叶（Paracentral_Lobule_R）的dALFF值显著降低[双尾，体素水平<0.05，高斯随机场（GRF）校正，簇水平<0.05]。对于dALFF，我们得出了3种或4种反复出现的ALFF状态。RD组和HC组在状态分布和状态特性上存在差异。RD组dALFF状态之间的转换次数高于HC组。基于不同脑区的dALFF值，三种不同时间窗下SVM分类的总体准确率分别为97.87%、100%和93.62%；曲线下面积值分别为0.99、1.00和0.95。汉密尔顿焦虑（HAMA）评分与局部dALFF之间未发现相关性。
我们的研究结果为RD潜在的神经病理学提供了重要见解，并提供了有力证据，表明dALFF作为脑活动的局部指标，可能有助于临床诊断。
