Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding
Description: We conducted multi-modal connectivity-based parcellation to investigate potentially separate functional modules within right temporoparietal junction (RTPJ). Both task-constrained meta-analytic coactivation mapping and task-free resting-state connectivity analysis independently identified two distinct clusters within RTPJ. Coactivation mapping and resting-state correlations revealed that the anterior cluster increased neural activity concomitantly with a midcingulate-motor-insular network, functionally associated with attention, and decreased neural activity concomitantly with a parietal network, functionally associated with social cognition and memory retrieval, while the posterior cluster showed the exact opposite association pattern. This dataset was automatically imported from the ANIMA <http://anima.modelgui.org/> database. Version: 1
Related article: http://doi.org/10.1016/j.neuroimage.2013.05.046
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