Neural Processes in the Human Temporoparietal Cortex Separated by Localized Independent Component Analysis

摘要: The human temporoparietal junction (TPJ) is a topic of intense research. Imaging studies have identified TPJ activation in association with many higher-order functions such as theory-of-mind, episodic memory, and attention, causing debate about the distribution different processes. One major challenge lack consensus anatomical location extent TPJ. Here, we address this problem using data-driven analysis to test hypothesis that bilateral can be parcellated into subregions. We applied independent component (ICA) task-free fMRI data within local region around TPJ, iterating ICA at multiple model orders several datasets. localized allowed finer separation processes use dimensionalities provided qualitative information lateralization. four subdivisions were bilaterally symmetrical one was right biased. To whether components (ICs) reflected true subdivisions, performed functional connectivity IC coordinates seeds. This confirmed belonged distinct networks. right-biased connected network often associated attentional processing. subdivision sensorimotor regions another auditory regions. presented left- ICs frontoparietal Another also had social or default mode Our results show both hemispheres hosts neural patterns consistent well developed specialization