Robert Corinne, Patel Raihaan, Blostein Nadia, Steele Chrisopher J, Chakravarty M Mallar
Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada.
Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada.
Neuroimage. 2022 Feb 1;246:118744. doi: 10.1016/j.neuroimage.2021.118744. Epub 2021 Nov 27.
The striatum is a major subcortical connection hub that has been heavily implicated in a wide array of motor and cognitive functions. Here, we developed a normative multimodal, data-driven microstructural parcellation of the striatum using non-negative matrix factorization (NMF) based on multiple magnetic resonance imaging-based metrics (mean diffusivity, fractional anisotropy, and the ratio between T1- and T2-weighted structural scans) from the Human Connectome Project Young Adult dataset (n = 329 unrelated participants, age range: 22-35, F/M: 185/144). We further explored the biological and functional relationships of this parcellation by relating our findings to motor and cognitive performance in tasks known to involve the striatum as well as demographics. We identified 5 spatially distinct striatal components for each hemisphere. We also show the gain in component stability when using multimodal versus unimodal metrics. Our findings suggest distinct microstructural patterns in the human striatum that are largely symmetric and that relate mostly to age and sex. Our work also highlights the putative functional relevance of these striatal components to different designations based on a Neurosynth meta-analysis.
纹状体是一个主要的皮层下连接枢纽，在广泛的运动和认知功能中发挥着重要作用。在此，我们基于人类连接组计划青年成人数据集（n = 329名无亲属关系的参与者，年龄范围：22 - 35岁，男/女：185/144）中的多种基于磁共振成像的指标（平均扩散率、各向异性分数以及T1加权和T2加权结构扫描之间的比率），使用非负矩阵分解（NMF）开发了一种规范的多模态、数据驱动的纹状体微观结构分割方法。我们通过将研究结果与已知涉及纹状体的任务中的运动和认知表现以及人口统计学特征相关联，进一步探讨了这种分割的生物学和功能关系。我们为每个半球识别出5个空间上不同的纹状体成分。我们还展示了使用多模态指标与单模态指标时成分稳定性的提升。我们的研究结果表明，人类纹状体中存在明显的微观结构模式，这些模式在很大程度上是对称的，并且主要与年龄和性别相关。我们的工作还基于Neurosynth荟萃分析强调了这些纹状体成分与不同命名的假定功能相关性。
