An investigation of the structural, connectional, and functional subspecialization in the human amygdala: Figure 3 - Left Amygdala (cluster #2)
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<p>Connectivity-based parcellation (CBP) of the left human amygdala. Cluster #2 (green) - superficial nuclei group</p> [](https://neurovault.org/images/12011) ### Collection description <p>We here employed methods for large-scale data mining to perform a connectivity-derived parcellation of the human amygdala based on whole-brain coactivation patterns computed for each seed voxel. Using this approach, connectivity-based parcellation divided the amygdala into three distinct clusters that are highly consistent with earlier microstructural distinctions. Meta-analytic connectivity modelling and functional characterization further revealed that the amygdala's laterobasal nuclei group was associated with coordinating high-level sensory input, whereas its centromedial nuclei group was linked to mediating attentional, vegetative, and motor responses. The results of this model-free approach support the concordance of structural, connectional, and functional organization in the human amygdala. This dataset was automatically imported from the ANIMA <http://anima.modelgui.org/> database. Version: 1</p> ###Subject species homo sapiens ###Modality fMRI-BOLD ### Analysis level meta-analysis ### Cognitive paradigm (task) None / Other ### Map type M
<p>基于连通性的杏仁核分区(CBP)研究。聚类#2(绿色)- 表浅核团</p> [](https://neurovault.org/images/12011) ### 数据集描述 <p>本研究采用大规模数据挖掘方法,基于对每个种子体素计算的整个大脑共激活模式,对人类杏仁核进行连通性分区。运用此方法,基于连通性的分区将杏仁核划分为三个独特的聚类,这些聚类与早期的微结构区分高度一致。通过元分析连通建模和功能描述,进一步揭示了杏仁核的侧基底核团与协调高级感官输入相关联,而其中心中核团则与调节注意力、植物神经功能和运动反应相关。此无模型方法的结果支持了人类杏仁核的结构、连接和功能组织的协同一致性。本数据集自动从ANIMA数据库(<http://anima.modelgui.org/>)导入。版本:1</p> ### 研究对象 homo sapiens ### 模态 fMRI-BOLD ### 分析层级 元分析 ### 认知范式(任务) None / Other ### 地图类型 M



