Boston University, Boston, MA, USA.
Boston University, Boston, MA, USA.
Brain Lang. 2024 Jun;253:105417. doi: 10.1016/j.bandl.2024.105417. Epub 2024 May 3.
We tested the hypothesis, generated from the Gradient Order Directions Into Velocities of Articulators (GODIVA) model, that adults who stutter (AWS) may comprise subtypes based on differing connectivity within the cortico-basal ganglia planning or motor loop. Resting state functional connectivity from 91 AWS and 79 controls was measured for all GODIVA model connections. Based on a principal components analysis, two connections accounted for most of the connectivity variability in AWS: left thalamus - left posterior inferior frontal sulcus (planning loop component) and left supplementary motor area - left ventral premotor cortex (motor loop component). A k-means clustering algorithm using the two connections revealed three clusters of AWS. Cluster 1 was significantly different from controls in both connections; Cluster 2 was significantly different in only the planning loop; and Cluster 3 was significantly different in only the motor loop. These findings suggest the presence of planning and motor subtypes of stuttering.
我们检验了一个假说,该假说源自构音器官速度的梯度序方向(GODIVA)模型,即口吃者(AWS)可能基于皮质-基底神经节规划或运动回路中不同的连通性而分为不同的亚型。我们测量了 91 名 AWS 和 79 名对照者的所有 GODIVA 模型连接的静息状态功能连通性。基于主成分分析,两个连接解释了 AWS 中大部分的连通性变异性:左丘脑 - 左后额下回(规划回路成分)和左辅助运动区 - 左腹侧前运动皮层(运动回路成分)。使用这两个连接的 k-均值聚类算法揭示了 AWS 的三个聚类。第 1 聚类在两个连接中与对照组均有显著差异;第 2 聚类仅在规划回路中存在显著差异;第 3 聚类仅在运动回路中存在显著差异。这些发现表明口吃存在规划和运动亚型。