{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T07:27:19Z","timestamp":1778225239517,"version":"3.51.4"},"reference-count":56,"publisher":"MIT Press - Journals","issue":"6","content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Although multiple studies characterized the resting-state functional connectivity (rsFC) of the right temporoparietal junction (rTPJ), little is known about the link between rTPJ rsFC and cognitive functions. Given a putative involvement of rTPJ in both reorienting of attention and the updating of probabilistic beliefs, this study characterized the relationship between rsFC of rTPJ with dorsal and ventral attention systems and these two cognitive processes. Twenty-three healthy young participants performed a modified location-cueing paradigm with true and false prior information about the percentage of cue validity to assess belief updating and attentional reorienting. Resting-state fMRI was recorded before and after the task. Seed-based correlation analysis was employed, and correlations of each behavioral parameter with rsFC before the task, as well as with changes in rsFC after the task, were assessed in an ROI-based approach. Weaker rsFC between rTPJ and right intraparietal sulcus before the task was associated with relatively faster updating of the belief that the cue will be valid after false prior information. Moreover, relatively faster belief updating, as well as faster reorienting, were related to an increase in the interhemispheric rsFC between rTPJ and left TPJ after the task. These findings are in line with task-based connectivity studies on related attentional functions and extend results from stroke patients demonstrating the importance of interhemispheric parietal interactions for behavioral performance. The present results not only highlight the essential role of parietal rsFC for attentional functions but also suggest that cognitive processing during a task changes connectivity patterns in a performance-dependent manner.<\/jats:p>","DOI":"10.1162\/jocn_a_01543","type":"journal-article","created":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T17:55:13Z","timestamp":1581011713000},"page":"1130-1141","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":6,"title":["Resting-state Functional Connectivity of the Right Temporoparietal Junction Relates to Belief Updating and Reorienting during Spatial Attention"],"prefix":"10.1162","volume":"32","author":[{"given":"Anne-Sophie","family":"K\u00e4sbauer","sequence":"first","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paola","family":"Mengotti","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gereon R.","family":"Fink","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich"},{"name":"Faculty of Medicine and University Hospital Cologne, University of Cologne"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simone","family":"Vossel","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich"},{"name":"Faculty of Human Sciences, University of Cologne"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2020,6,1]]},"reference":[{"key":"2022042815132619300_bib1","doi-asserted-by":"crossref","unstructured":"Baldassarre,  A., Ramsey,  L., Hacker,  C. L., Callejas,  A., Astafiev,  S. V., Metcalf,  N. V., et al (2014). Large-scale changes in network interactions as a physiological signature of spatial neglect. Brain, 137, 3267\u20133283.","DOI":"10.1093\/brain\/awu297"},{"key":"2022042815132619300_bib2","doi-asserted-by":"crossref","unstructured":"Behzadi,  Y., Restom,  K., Liau,  J., & Liu,  T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage, 37, 90\u2013101.","DOI":"10.1016\/j.neuroimage.2007.04.042"},{"key":"2022042815132619300_bib3","doi-asserted-by":"crossref","unstructured":"Biswal,  B., Yetkin,  F. Z., Haughton,  V. M., & Hyde,  J. S. (1995). Functional connectivity in the motor cortex of resting. Magnetic Resonance in Medicine, 34, 537\u2013541.","DOI":"10.1002\/mrm.1910340409"},{"key":"2022042815132619300_bib4","doi-asserted-by":"crossref","unstructured":"Brodersen,  K. H., Penny,  W. D., Harrison,  L. M., Daunizeau,  J., Ruff,  C. C., Duzel,  E., et al (2008). Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Networks, 21, 1247\u20131260.","DOI":"10.1016\/j.neunet.2008.08.007"},{"key":"2022042815132619300_bib5","doi-asserted-by":"crossref","unstructured":"Bzdok,  D., Langner,  R., Schilbach,  L., Jakobs,  O., Roski,  C., Caspers,  S., et al (2013). Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding. Neuroimage, 81, 381\u2013392.","DOI":"10.1016\/j.neuroimage.2013.05.046"},{"key":"2022042815132619300_bib6","doi-asserted-by":"crossref","unstructured":"Carpenter,  R. H., & Williams,  M. L. (1995). Neural computation of log likelihood in control of saccadic eye movements. Nature, 377, 59\u201362.","DOI":"10.1038\/377059a0"},{"key":"2022042815132619300_bib7","doi-asserted-by":"crossref","unstructured":"Carter,  A. R., Astafiev,  S. V., Lang,  C. E., Connor,  L. T., Rengachary,  J., Strube,  M. 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Detection of influential observation linear regression. Technometrics, 19, 15\u201318.","DOI":"10.1080\/00401706.1977.10489493"},{"key":"2022042815132619300_bib11","doi-asserted-by":"crossref","unstructured":"Corbetta,  M., Kincade,  J. M., Ollinger,  J. M., McAvoy,  M. P., & Shulman,  G. L. (2000). Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nature Neuroscience, 3, 292\u2013297.","DOI":"10.1038\/73009"},{"key":"2022042815132619300_bib12","doi-asserted-by":"crossref","unstructured":"Corbetta,  M., Patel,  G., & Shulman,  G. L. (2008). The reorienting system of the human brain: From environment to theory of mind. Neuron, 58, 306\u2013324.","DOI":"10.1016\/j.neuron.2008.04.017"},{"key":"2022042815132619300_bib13","doi-asserted-by":"crossref","unstructured":"Corbetta,  M., Ramsey,  L., Callejas,  A., Baldassarre,  A., Hacker,  C. D., Siegel,  J. S., et al (2015). Common behavioral clusters and subcortical anatomy in stroke. 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Human Brain Mapping, 2, 189\u2013210.","DOI":"10.1002\/hbm.460020402"},{"key":"2022042815132619300_bib22","doi-asserted-by":"crossref","unstructured":"Friston,  K., Mattout,  J., Trujillo-Barreto,  N., Ashburner,  J., & Penny,  W. (2007). Variational free energy and the laplace approximation. Neuroimage, 34, 220\u2013234.","DOI":"10.1016\/j.neuroimage.2006.08.035"},{"key":"2022042815132619300_bib23","doi-asserted-by":"crossref","unstructured":"Geng,  J. J., & Vossel,  S. (2013). Re-evaluating the role of TPJ in attentional control: Contextual updating?Neuroscience and Biobehavioral Reviews, 37, 2608\u20132620.","DOI":"10.1016\/j.neubiorev.2013.08.010"},{"key":"2022042815132619300_bib24","doi-asserted-by":"crossref","unstructured":"Greicius,  M. D., Supekar,  K., Menon,  V., & Dougherty,  R. F. (2009). Resting-state functional connectivity reflects structural connectivity in the default mode network. 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Human Brain Mapping, 37, 796\u2013807.","DOI":"10.1002\/hbm.23068"},{"key":"2022042815132619300_bib34","doi-asserted-by":"crossref","unstructured":"Kucyi,  A., Hodaie,  M., & Davis,  K. D. (2012). Lateralization in intrinsic functional connectivity of the temporoparietal junction with salience- and attention-related brain networks. Journal of Neurophysiology, 108, 3382\u20133392.","DOI":"10.1152\/jn.00674.2012"},{"key":"2022042815132619300_bib35","doi-asserted-by":"crossref","unstructured":"Leit\u00e3o,  J., Thielscher,  A., Tunnerhoff,  J., & Noppeney,  U. (2015). Concurrent TMS-fMRI reveals interactions between dorsal and ventral attentional systems. Journal of Neuroscience, 35, 11445\u201311457.","DOI":"10.1523\/JNEUROSCI.0939-15.2015"},{"key":"2022042815132619300_bib36","doi-asserted-by":"crossref","unstructured":"Mars,  R. B., Sallet,  J., Sch\u00fcffelgen,  U., Jbabdi,  S., Toni,  I., & Rushworth,  M. F. (2012). Connectivity-based subdivisions of the human right \u201ctemporoparietal junction area\u201d: Evidence for different areas participating in different cortical networks. Cerebral Cortex, 22, 1894\u20131903.","DOI":"10.1093\/cercor\/bhr268"},{"key":"2022042815132619300_bib37","doi-asserted-by":"crossref","unstructured":"Mengotti,  P., Dombert,  P. L., Fink,  G. R., & Vossel,  S. (2017). Disruption of the right temporoparietal junction impairs probabilistic belief updating. Journal of Neuroscience, 37, 5419\u20135428.","DOI":"10.1523\/JNEUROSCI.3683-16.2017"},{"key":"2022042815132619300_bib38","doi-asserted-by":"crossref","unstructured":"Nyffeler,  T., Vanbellingen,  T., Kaufmann,  B. C., Pflugshaupt,  T., Bauer,  D., Frey,  J., et al (2019). Theta burst stimulation in neglect after stroke: Functional outcome and response variability origins. 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Cerebral Cortex, 26, 4551\u20134562.","DOI":"10.1093\/cercor\/bhv208"},{"key":"2022042815132619300_bib47","doi-asserted-by":"crossref","unstructured":"Sparing,  R., Thimm,  M., Hesse,  M. D., K\u00fcst,  J., Karbe,  H., & Fink,  G. R. (2009). Bidirectional alterations of interhemispheric parietal balance by non-invasive cortical stimulation. Brain, 132, 3011\u20133020.","DOI":"10.1093\/brain\/awp154"},{"key":"2022042815132619300_bib48","unstructured":"Stevens,  J.\n           (1996). Applied multivariate statistics for the social sciences (6th ed.). Mahwah, NJ: Erlbaum."},{"key":"2022042815132619300_bib49","doi-asserted-by":"crossref","unstructured":"Vossel,  S., Mathys,  C., Daunizeau,  J., Bauer,  M., Driver,  J., Friston,  K. J., et al (2014). Spatial attention, precision, and bayesian inference: A study of saccadic response speed. 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