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Neural processes in the human temporoparietal cortex separated by localized independent component analysis
Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, New Jersey, USA.ORCID iD: 0000-0002-1904-5554
Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, New Jersey, USA.
Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, New Jersey, USA.
2015 (English)In: Journal of Neuroscience, ISSN 0270-6474, E-ISSN 1529-2401, Vol. 35, p. 9432-9445Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
Washington, DC, United States: Society for Neuroscience , 2015. Vol. 35, p. 9432-9445
Keywords [en]
cortical parcellation, inferior parietal lobule, probabilistic independent component analysis, resting-state functional connectivity, supramarginal and angular gyrus, temporoparietal junction cortex
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:liu:diva-171565DOI: 10.1523/JNEUROSCI.0551-15.2015ISI: 000358252000018PubMedID: 26109666Scopus ID: 2-s2.0-84933576024OAI: oai:DiVA.org:liu-171565DiVA, id: diva2:1503229
Available from: 2020-11-23 Created: 2020-11-23 Last updated: 2020-11-30Bibliographically approved

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Igelström, Kajsa

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