{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T22:31:48Z","timestamp":1788561108269,"version":"build-2803163510"},"reference-count":77,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C7A1029610"],"award-info":[{"award-number":["2017M3C7A1029610"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["21-BR-03-01"],"award-info":[{"award-number":["21-BR-03-01"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","award":["HI19C1117"],"award-info":[{"award-number":["HI19C1117"]}],"id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Abnormal thalamocortical networks involving specific thalamic nuclei have been implicated in schizophrenia pathophysiology. While comparable topography of anatomical and functional connectivity abnormalities has been reported in patients across illness stages, previous functional studies have been confined to anatomical pathways of thalamocortical networks. To address this issue, we incorporated large-scale brain network dynamics into examining thalamocortical functional connectivity. Forty patients with first-episode psychosis and forty healthy controls underwent T1-weighted and resting-state functional magnetic resonance imaging. Independent component analysis of voxelwise thalamic functional connectivity maps parcellated the cortex into thalamus-related networks, and thalamic subdivisions associated with these networks were delineated. Functional connectivity of (1) networks with the thalamus and (2) thalamic subdivision seeds were examined. In patients, functional connectivity of the salience network with the thalamus was decreased and localized to the ventrolateral (VL) and ventroposterior (VP) thalamus, while that of a network comprising the cerebellum, temporal and parietal regions was increased and localized to the mediodorsal (MD) thalamus. In patients, thalamic subdivision encompassing the VL and VP thalamus demonstrated hypoconnectivity and that encompassing the MD and pulvinar regions demonstrated hyperconnectivity. Our results extend the implications of disrupted thalamocortical networks involving specific thalamic nuclei to dysfunctional large-scale brain network dynamics in schizophrenia pathophysiology.<\/jats:p>","DOI":"10.1038\/s41598-021-99170-7","type":"journal-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T00:09:47Z","timestamp":1633651787000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Mapping thalamocortical functional connectivity with large-scale brain networks in patients with first-episode psychosis"],"prefix":"10.1038","volume":"11","author":[{"given":"Yoo Bin","family":"Kwak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kang Ik Kevin","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wu Jeong","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahra","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minji","family":"Ha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyungyou","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhee","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tae Yong","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minah","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun Soo","family":"Kwon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,10,6]]},"reference":[{"key":"99170_CR1","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.biopsych.2008.03.031","volume":"64","author":"DC Glahn","year":"2008","unstructured":"Glahn, D. C. et al. Meta-analysis of gray matter anomalies in schizophrenia: Application of anatomic likelihood estimation and network analysis. Biol. Psychiatry 64, 774\u2013781. https:\/\/doi.org\/10.1016\/j.biopsych.2008.03.031 (2008).","journal-title":"Biol. Psychiatry"},{"key":"99170_CR2","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1093\/schbul\/sbs118","volume":"39","author":"SV Haijma","year":"2013","unstructured":"Haijma, S. V. et al. Brain volumes in schizophrenia: A meta-analysis in over 18 000 subjects. Schizophr. Bull. 39, 1129\u20131138. https:\/\/doi.org\/10.1093\/schbul\/sbs118 (2013).","journal-title":"Schizophr. Bull."},{"key":"99170_CR3","doi-asserted-by":"publisher","first-page":"15016","DOI":"10.1038\/npjschz.2015.16","volume":"1","author":"W Cheng","year":"2015","unstructured":"Cheng, W. et al. Voxel-based, brain-wide association study of aberrant functional connectivity in schizophrenia implicates thalamocortical circuitry. NPJ Schizophr. 1, 15016. https:\/\/doi.org\/10.1038\/npjschz.2015.16 (2015).","journal-title":"NPJ Schizophr."},{"key":"99170_CR4","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1001\/archgenpsychiatry.2009.91","volume":"66","author":"MJ Minzenberg","year":"2009","unstructured":"Minzenberg, M. J., Laird, A. R., Thelen, S., Carter, C. S. & Glahn, D. C. Meta-analysis of 41 functional neuroimaging studies of executive function in schizophrenia. Arch. Gen. Psychiatry 66, 811\u2013822. https:\/\/doi.org\/10.1001\/archgenpsychiatry.2009.91 (2009).","journal-title":"Arch. Gen. Psychiatry"},{"key":"99170_CR5","doi-asserted-by":"publisher","first-page":"1176","DOI":"10.1016\/j.jpsychires.2010.04.014","volume":"44","author":"D Martins-de-Souza","year":"2010","unstructured":"Martins-de-Souza, D. et al. Proteome analysis of the thalamus and cerebrospinal fluid reveals glycolysis dysfunction and potential biomarkers candidates for schizophrenia. J. Psychiatric Res. 44, 1176\u20131189. https:\/\/doi.org\/10.1016\/j.jpsychires.2010.04.014 (2010).","journal-title":"J. Psychiatric Res."},{"key":"99170_CR6","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s00702-007-0859-5","volume":"115","author":"L Watis","year":"2008","unstructured":"Watis, L., Chen, S. H., Chua, H. C., Chong, S. A. & Sim, K. Glutamatergic abnormalities of the thalamus in schizophrenia: A systematic review. J. Neural Transm. (Vienna Austria 1996) 115, 493\u2013511. https:\/\/doi.org\/10.1007\/s00702-007-0859-5 (2008).","journal-title":"J. Neural Transm. (Vienna Austria 1996)"},{"key":"99170_CR7","volume-title":"The Thalamus","author":"EG Jones","year":"2007","unstructured":"Jones, E. G. The Thalamus (Cambridge University Press, 2007)."},{"key":"99170_CR8","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1146\/annurev.ne.09.030186.002041","volume":"9","author":"GE Alexander","year":"1986","unstructured":"Alexander, G. E., DeLong, M. R. & Strick, P. L. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu. Rev. Neurosci. 9, 357\u2013381. https:\/\/doi.org\/10.1146\/annurev.ne.09.030186.002041 (1986).","journal-title":"Annu. Rev. Neurosci."},{"key":"99170_CR9","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s00702-005-0363-8","volume":"113","author":"K Sim","year":"2006","unstructured":"Sim, K., Cullen, T., Ongur, D. & Heckers, S. Testing models of thalamic dysfunction in schizophrenia using neuroimaging. J. Neural Transm. 113, 907\u2013928. https:\/\/doi.org\/10.1007\/s00702-005-0363-8 (2006).","journal-title":"J. Neural Transm."},{"key":"99170_CR10","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1176\/appi.ajp.2012.12010056","volume":"169","author":"ND Woodward","year":"2012","unstructured":"Woodward, N. D., Karbasforoushan, H. & Heckers, S. Thalamocortical dysconnectivity in schizophrenia. Am. J. Psychiatry 169, 1092\u20131099. https:\/\/doi.org\/10.1176\/appi.ajp.2012.12010056 (2012).","journal-title":"Am. J. Psychiatry"},{"key":"99170_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.schres.2019.05.027","author":"P Steullet","year":"2019","unstructured":"Steullet, P. Thalamus-related anomalies as candidate mechanism-based biomarkers for psychosis. Schizophr. Res. https:\/\/doi.org\/10.1016\/j.schres.2019.05.027 (2019).","journal-title":"Schizophr. Res."},{"key":"99170_CR12","doi-asserted-by":"publisher","first-page":"1740","DOI":"10.1152\/jn.90463.2008","volume":"100","author":"D Zhang","year":"2008","unstructured":"Zhang, D. et al. Intrinsic functional relations between human cerebral cortex and thalamus. J. Neurophysiol. 100, 1740\u20131748. https:\/\/doi.org\/10.1152\/jn.90463.2008 (2008).","journal-title":"J. Neurophysiol."},{"key":"99170_CR13","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1038\/nn1075","volume":"6","author":"TEJ Behrens","year":"2003","unstructured":"Behrens, T. E. J. et al. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat. Neurosci. 6, 750\u2013757. https:\/\/doi.org\/10.1038\/nn1075 (2003).","journal-title":"Nat. Neurosci."},{"key":"99170_CR14","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1093\/cercor\/bhh105","volume":"15","author":"H Johansen-Berg","year":"2005","unstructured":"Johansen-Berg, H. et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb. Cortex 15, 31\u201339. https:\/\/doi.org\/10.1093\/cercor\/bhh105 (2005).","journal-title":"Cereb. Cortex"},{"key":"99170_CR15","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1093\/cercor\/bhp182","volume":"20","author":"D Zhang","year":"2010","unstructured":"Zhang, D., Snyder, A. Z., Shimony, J. S., Fox, M. D. & Raichle, M. E. Noninvasive functional and structural connectivity mapping of the human thalamocortical system. Cereb. Cortex 20, 1187\u20131194. https:\/\/doi.org\/10.1093\/cercor\/bhp182 (2010).","journal-title":"Cereb. Cortex"},{"key":"99170_CR16","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.biopsych.2017.09.022","volume":"83","author":"M Giraldo-Chica","year":"2018","unstructured":"Giraldo-Chica, M., Rogers, B. P., Damon, S. M., Landman, B. A. & Woodward, N. D. Prefrontal-thalamic anatomical connectivity and executive cognitive function in schizophrenia. Biol. Psychiatry 83, 509\u2013517. https:\/\/doi.org\/10.1016\/j.biopsych.2017.09.022 (2018).","journal-title":"Biol. Psychiatry"},{"key":"99170_CR17","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1016\/j.biopsych.2015.06.026","volume":"79","author":"ND Woodward","year":"2016","unstructured":"Woodward, N. D. & Heckers, S. Mapping thalamocortical functional connectivity in chronic and early stages of psychotic disorders. Biol. Psychiatry 79, 1016\u20131025. https:\/\/doi.org\/10.1016\/j.biopsych.2015.06.026 (2016).","journal-title":"Biol. Psychiatry"},{"key":"99170_CR18","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1038\/npp.2011.215","volume":"37","author":"S Marenco","year":"2012","unstructured":"Marenco, S. et al. Investigation of anatomical thalamo-cortical connectivity and FMRI activation in schizophrenia. Neuropsychopharmacology 37, 499\u2013507. https:\/\/doi.org\/10.1038\/npp.2011.215 (2012).","journal-title":"Neuropsychopharmacology"},{"key":"99170_CR19","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1093\/schbul\/sbv169","volume":"42","author":"KI Cho","year":"2016","unstructured":"Cho, K. I. et al. Altered thalamo-cortical white matter connectivity: Probabilistic tractography study in clinical-high risk for psychosis and first-episode psychosis. Schizophr. Bull. 42, 723\u2013731. https:\/\/doi.org\/10.1093\/schbul\/sbv169 (2016).","journal-title":"Schizophr. Bull."},{"key":"99170_CR20","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1177\/1073858414537560","volume":"21","author":"Z Wang","year":"2015","unstructured":"Wang, Z., Dai, Z., Gong, G., Zhou, C. & He, Y. Understanding structural-functional relationships in the human brain: A large-scale network perspective. Neuroscientist 21, 290\u2013305. https:\/\/doi.org\/10.1177\/1073858414537560 (2015).","journal-title":"Neuroscientist"},{"key":"99170_CR21","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1073\/pnas.0811168106","volume":"106","author":"CJ Honey","year":"2009","unstructured":"Honey, C. J. et al. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 106, 2035\u20132040. https:\/\/doi.org\/10.1073\/pnas.0811168106 (2009).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"99170_CR22","doi-asserted-by":"publisher","first-page":"17465","DOI":"10.1523\/JNEUROSCI.2709-12.2012","volume":"32","author":"K Shen","year":"2012","unstructured":"Shen, K. et al. Information processing architecture of functionally defined clusters in the macaque cortex. J. Neurosci. Off. J. Soc. Neurosci. 32, 17465\u201317476. https:\/\/doi.org\/10.1523\/JNEUROSCI.2709-12.2012 (2012).","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"key":"99170_CR23","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1093\/cercor\/bhr234","volume":"22","author":"Y Adachi","year":"2012","unstructured":"Adachi, Y. et al. Functional connectivity between anatomically unconnected areas is shaped by collective network-level effects in the macaque cortex. Cereb. Cortex 22, 1586\u20131592. https:\/\/doi.org\/10.1093\/cercor\/bhr234 (2012).","journal-title":"Cereb. Cortex"},{"key":"99170_CR24","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.neuroimage.2008.07.063","volume":"43","author":"P Skudlarski","year":"2008","unstructured":"Skudlarski, P. et al. Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations. Neuroimage 43, 554\u2013561. https:\/\/doi.org\/10.1016\/j.neuroimage.2008.07.063 (2008).","journal-title":"Neuroimage"},{"key":"99170_CR25","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.neuroimage.2010.08.063","volume":"54","author":"SM Smith","year":"2011","unstructured":"Smith, S. M. et al. Network modelling methods for FMRI. Neuroimage 54, 875\u2013891. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.08.063 (2011).","journal-title":"Neuroimage"},{"key":"99170_CR26","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s11065-014-9248-7","volume":"24","author":"MP van den Heuvel","year":"2014","unstructured":"van den Heuvel, M. P. & Fornito, A. Brain networks in schizophrenia. Neuropsychol. Rev. 24, 32\u201348. https:\/\/doi.org\/10.1007\/s11065-014-9248-7 (2014).","journal-title":"Neuropsychol. Rev."},{"key":"99170_CR27","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1093\/schbul\/sbx034","volume":"44","author":"D Dong","year":"2018","unstructured":"Dong, D., Wang, Y., Chang, X., Luo, C. & Yao, D. Dysfunction of large-scale brain networks in schizophrenia: A meta-analysis of resting-state functional connectivity. Schizophr. Bull. 44, 168\u2013181. https:\/\/doi.org\/10.1093\/schbul\/sbx034 (2018).","journal-title":"Schizophr. Bull."},{"key":"99170_CR28","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1093\/schbul\/sbv146","volume":"42","author":"NA Crossley","year":"2016","unstructured":"Crossley, N. A. et al. Altered hub functioning and compensatory activations in the connectome: A meta-analysis of functional neuroimaging studies in schizophrenia. Schizophr. Bull. 42, 434\u2013442. https:\/\/doi.org\/10.1093\/schbul\/sbv146 (2016).","journal-title":"Schizophr. Bull."},{"key":"99170_CR29","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1016\/j.neubiorev.2010.11.004","volume":"35","author":"W Pettersson-Yeo","year":"2011","unstructured":"Pettersson-Yeo, W., Allen, P., Benetti, S., McGuire, P. & Mechelli, A. Dysconnectivity in schizophrenia: Where are we now?. Neurosci. Biobehav. Rev. 35, 1110\u20131124. https:\/\/doi.org\/10.1016\/j.neubiorev.2010.11.004 (2011).","journal-title":"Neurosci. Biobehav. Rev."},{"key":"99170_CR30","doi-asserted-by":"publisher","first-page":"5594","DOI":"10.1523\/JNEUROSCI.0067-17.2017","volume":"37","author":"K Hwang","year":"2017","unstructured":"Hwang, K., Bertolero, M. A., Liu, W. B. & D\u2019Esposito, M. The human thalamus is an integrative hub for functional brain networks. J. Neurosci. Off. J. Soc. Neurosci. 37, 5594\u20135607. https:\/\/doi.org\/10.1523\/JNEUROSCI.0067-17.2017 (2017).","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"key":"99170_CR31","doi-asserted-by":"publisher","first-page":"1971","DOI":"10.1007\/s00429-015-1018-7","volume":"221","author":"R Yuan","year":"2016","unstructured":"Yuan, R. et al. Functional topography of the thalamocortical system in human. Brain Struct. Funct. 221, 1971\u20131984. https:\/\/doi.org\/10.1007\/s00429-015-1018-7 (2016).","journal-title":"Brain Struct. Funct."},{"key":"99170_CR32","doi-asserted-by":"publisher","first-page":"4734","DOI":"10.1073\/pnas.0911855107","volume":"107","author":"BB Biswal","year":"2010","unstructured":"Biswal, B. B. et al. Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U. S. A. 107, 4734\u20134739. https:\/\/doi.org\/10.1073\/pnas.0911855107 (2010).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"99170_CR33","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1098\/rstb.2005.1634","volume":"360","author":"CF Beckmann","year":"2005","unstructured":"Beckmann, C. F., DeLuca, M., Devlin, J. T. & Smith, S. M. Investigations into resting-state connectivity using independent component analysis. Philos. Trans. R. Soc. Lond. B Biol. Sci. 360, 1001\u20131013. https:\/\/doi.org\/10.1098\/rstb.2005.1634 (2005).","journal-title":"Philos. Trans. R. Soc. Lond. B Biol. Sci."},{"key":"99170_CR34","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1089\/brain.2015.0338","volume":"5","author":"Y Fan","year":"2015","unstructured":"Fan, Y. et al. Functional connectivity-based parcellation of the thalamus: An unsupervised clustering method and its validity investigation. Brain Connect. 5, 620\u2013630. https:\/\/doi.org\/10.1089\/brain.2015.0338 (2015).","journal-title":"Brain Connect."},{"key":"99170_CR35","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1007\/s00429-010-0262-0","volume":"214","author":"V Menon","year":"2010","unstructured":"Menon, V. & Uddin, L. Q. Saliency, switching, attention and control: A network model of insula function. Brain Struct. Funct. 214, 655\u2013667. https:\/\/doi.org\/10.1007\/s00429-010-0262-0 (2010).","journal-title":"Brain Struct. Funct."},{"key":"99170_CR36","doi-asserted-by":"publisher","first-page":"171","DOI":"10.3389\/fnbeh.2014.00171","volume":"8","author":"T Nekovarova","year":"2014","unstructured":"Nekovarova, T., Fajnerova, I., Horacek, J. & Spaniel, F. Bridging disparate symptoms of schizophrenia: A triple network dysfunction theory. Front. Behav. Neurosci. 8, 171. https:\/\/doi.org\/10.3389\/fnbeh.2014.00171 (2014).","journal-title":"Front. Behav. Neurosci."},{"key":"99170_CR37","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","volume":"15","author":"V Menon","year":"2011","unstructured":"Menon, V. Large-scale brain networks and psychopathology: A unifying triple network model. Trends Cogn. Sci. 15, 483\u2013506. https:\/\/doi.org\/10.1016\/j.tics.2011.08.003 (2011).","journal-title":"Trends Cogn. Sci."},{"key":"99170_CR38","doi-asserted-by":"publisher","first-page":"19944","DOI":"10.1073\/pnas.1311772110","volume":"110","author":"AC Chen","year":"2013","unstructured":"Chen, A. C. et al. Causal interactions between fronto-parietal central executive and default-mode networks in humans. Proc. Natl. Acad. Sci. U. S. A. 110, 19944\u201319949. https:\/\/doi.org\/10.1073\/pnas.1311772110 (2013).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"99170_CR39","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1038\/nrn2201","volume":"8","author":"MD Fox","year":"2007","unstructured":"Fox, M. D. & Raichle, M. E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 8, 700\u2013711. https:\/\/doi.org\/10.1038\/nrn2201 (2007).","journal-title":"Nat. Rev. Neurosci."},{"key":"99170_CR40","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1523\/JNEUROSCI.1853-13.2014","volume":"34","author":"PJ Hellyer","year":"2014","unstructured":"Hellyer, P. J. et al. The control of global brain dynamics: Opposing actions of frontoparietal control and default mode networks on attention. J. Neurosci. Off. J. Soc. Neurosci. 34, 451\u2013461. https:\/\/doi.org\/10.1523\/JNEUROSCI.1853-13.2014 (2014).","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"key":"99170_CR41","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1176\/appi.ajp.159.1.59","volume":"159","author":"W Byne","year":"2002","unstructured":"Byne, W. et al. Postmortem assessment of thalamic nuclear volumes in subjects with schizophrenia. Am. J. Psychiatry 159, 59\u201365. https:\/\/doi.org\/10.1176\/appi.ajp.159.1.59 (2002).","journal-title":"Am. J. Psychiatry"},{"key":"99170_CR42","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.schres.2006.10.006","volume":"90","author":"W Byne","year":"2007","unstructured":"Byne, W. et al. Reduction of right medial pulvinar volume and neuron number in schizophrenia. Schizophr. Res. 90, 71\u201375. https:\/\/doi.org\/10.1016\/j.schres.2006.10.006 (2007).","journal-title":"Schizophr. Res."},{"key":"99170_CR43","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1001\/archpsyc.1990.01810230039007","volume":"47","author":"B Pakkenberg","year":"1990","unstructured":"Pakkenberg, B. Pronounced reduction of total neuron number in mediodorsal thalamic nucleus and nucleus accumbens in schizophrenics. Arch. Gen. Psychiatry 47, 1023\u20131028. https:\/\/doi.org\/10.1001\/archpsyc.1990.01810230039007 (1990).","journal-title":"Arch. Gen. Psychiatry"},{"key":"99170_CR44","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1093\/schbul\/19.2.431","volume":"19","author":"B Bogerts","year":"1993","unstructured":"Bogerts, B. Recent advances in the neuropathology of schizophrenia. Schizophr. Bull. 19, 431\u2013445. https:\/\/doi.org\/10.1093\/schbul\/19.2.431 (1993).","journal-title":"Schizophr. Bull."},{"key":"99170_CR45","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.schres.2016.08.007","volume":"180","author":"KA Dorph-Petersen","year":"2017","unstructured":"Dorph-Petersen, K. A. & Lewis, D. A. Postmortem structural studies of the thalamus in schizophrenia. Schizophr. Res. 180, 28\u201335. https:\/\/doi.org\/10.1016\/j.schres.2016.08.007 (2017).","journal-title":"Schizophr. Res."},{"key":"99170_CR46","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1093\/oxfordjournals.schbul.a033321","volume":"24","author":"NC Andreasen","year":"1998","unstructured":"Andreasen, N. C., Paradiso, S. & O\u2019Leary, D. S. \u201cCognitive dysmetria\u201d as an integrative theory of schizophrenia: A dysfunction in cortical\u2013subcortical\u2013cerebellar circuitry?. Schizophr. Bull. 24, 203\u2013218 (1998).","journal-title":"Schizophr. Bull."},{"key":"99170_CR47","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1093\/schbul\/23.3.483","volume":"23","author":"EG Jones","year":"1997","unstructured":"Jones, E. G. Cortical development and thalamic pathology in schizophrenia. Schizophr. Bull. 23, 483\u2013501. https:\/\/doi.org\/10.1093\/schbul\/23.3.483 (1997).","journal-title":"Schizophr. Bull."},{"key":"99170_CR48","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/7854_2010_48","volume":"4","author":"NR Swerdlow","year":"2010","unstructured":"Swerdlow, N. R. Integrative circuit models and their implications for the pathophysiologies and treatments of the schizophrenias. Curr. Top. Behav. Neurosci. 4, 555\u2013583. https:\/\/doi.org\/10.1007\/7854_2010_48 (2010).","journal-title":"Curr. Top. Behav. Neurosci."},{"key":"99170_CR49","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/7854_2010_55","volume":"4","author":"WJ Cronenwett","year":"2010","unstructured":"Cronenwett, W. J. & Csernansky, J. Thalamic pathology in schizophrenia. Curr. Top. Behav. Neurosci. 4, 509\u2013528. https:\/\/doi.org\/10.1007\/7854_2010_55 (2010).","journal-title":"Curr. Top. Behav. Neurosci."},{"key":"99170_CR50","doi-asserted-by":"publisher","first-page":"4054","DOI":"10.1073\/pnas.0810086106","volume":"106","author":"JC Snow","year":"2009","unstructured":"Snow, J. C., Allen, H. A., Rafal, R. D. & Humphreys, G. W. Impaired attentional selection following lesions to human pulvinar: Evidence for homology between human and monkey. Proc. Natl. Acad. Sci. U. S. A. 106, 4054\u20134059. https:\/\/doi.org\/10.1073\/pnas.0810086106 (2009).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"99170_CR51","doi-asserted-by":"publisher","first-page":"8650","DOI":"10.1523\/JNEUROSCI.0953-10.2010","volume":"30","author":"M Wilke","year":"2010","unstructured":"Wilke, M., Turchi, J., Smith, K., Mishkin, M. & Leopold, D. A. Pulvinar inactivation disrupts selection of movement plans. J. Neurosci. Off. J. Soc. Neurosci. 30, 8650\u20138659. https:\/\/doi.org\/10.1523\/JNEUROSCI.0953-10.2010 (2010).","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"key":"99170_CR52","doi-asserted-by":"publisher","first-page":"2417","DOI":"10.1002\/hbm.22781","volume":"36","author":"DS Barron","year":"2015","unstructured":"Barron, D. S., Eickhoff, S. B., Clos, M. & Fox, P. T. Human pulvinar functional organization and connectivity. Hum. Brain Mapp. 36, 2417\u20132431. https:\/\/doi.org\/10.1002\/hbm.22781 (2015).","journal-title":"Hum. Brain Mapp."},{"key":"99170_CR53","doi-asserted-by":"publisher","first-page":"33","DOI":"10.3389\/fnins.2018.00033","volume":"12","author":"Z Ouhaz","year":"2018","unstructured":"Ouhaz, Z., Fleming, H. & Mitchell, A. S. Cognitive functions and neurodevelopmental disorders involving the prefrontal cortex and mediodorsal thalamus. Front. Neurosci. 12, 33. https:\/\/doi.org\/10.3389\/fnins.2018.00033 (2018).","journal-title":"Front. Neurosci."},{"key":"99170_CR54","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1038\/mp.2016.183","volume":"22","author":"LI Schmitt","year":"2017","unstructured":"Schmitt, L. I. & Halassa, M. M. Interrogating the mouse thalamus to correct human neurodevelopmental disorders. Mol. Psychiatry 22, 183\u2013191. https:\/\/doi.org\/10.1038\/mp.2016.183 (2017).","journal-title":"Mol. Psychiatry"},{"key":"99170_CR55","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.schres.2016.08.005","volume":"180","author":"M Giraldo-Chica","year":"2017","unstructured":"Giraldo-Chica, M. & Woodward, N. D. Review of thalamocortical resting-state fMRI studies in schizophrenia. Schizophr. Res. 180, 58\u201363. https:\/\/doi.org\/10.1016\/j.schres.2016.08.005 (2017).","journal-title":"Schizophr. Res."},{"key":"99170_CR56","doi-asserted-by":"publisher","first-page":"4477","DOI":"10.1093\/cercor\/bhv063","volume":"25","author":"J O'Muircheartaigh","year":"2015","unstructured":"O\u2019Muircheartaigh, J., Keller, S. S., Barker, G. J. & Richardson, M. P. White matter connectivity of the thalamus delineates the functional architecture of competing thalamocortical systems. Cereb. Cortex 25, 4477\u20134489. https:\/\/doi.org\/10.1093\/cercor\/bhv063 (2015).","journal-title":"Cereb. Cortex"},{"key":"99170_CR57","doi-asserted-by":"publisher","first-page":"1972","DOI":"10.1111\/ejn.13316","volume":"44","author":"F Alcaraz","year":"2016","unstructured":"Alcaraz, F., Marchand, A. R., Courtand, G., Coutureau, E. & Wolff, M. Parallel inputs from the mediodorsal thalamus to the prefrontal cortex in the rat. Eur. J. Neurosci. 44, 1972\u20131986. https:\/\/doi.org\/10.1111\/ejn.13316 (2016).","journal-title":"Eur. J. Neurosci."},{"key":"99170_CR58","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.neuroimage.2010.02.062","volume":"51","author":"CK Johannes","year":"2010","unstructured":"Johannes, C. K. et al. Topography of connections between human prefrontal cortex and mediodorsal thalamus studied with diffusion tractography. Neuroimage 51, 555\u2013564. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.02.062 (2010).","journal-title":"Neuroimage"},{"key":"99170_CR59","doi-asserted-by":"publisher","first-page":"1509","DOI":"10.1007\/s00429-016-1290-1","volume":"222","author":"C Fillinger","year":"2017","unstructured":"Fillinger, C., Yalcin, I., Barrot, M. & Veinante, P. Afferents to anterior cingulate areas 24a and 24b and midcingulate areas 24a\u2032 and 24b\u2032 in the mouse. Brain Struct. Funct. 222, 1509\u20131532. https:\/\/doi.org\/10.1007\/s00429-016-1290-1 (2017).","journal-title":"Brain Struct. Funct."},{"key":"99170_CR60","doi-asserted-by":"publisher","first-page":"2952","DOI":"10.1038\/s41598-019-39367-z","volume":"9","author":"P Chen","year":"2019","unstructured":"Chen, P., Ye, E., Jin, X., Zhu, Y. & Wang, L. Association between thalamocortical functional connectivity abnormalities and cognitive deficits in schizophrenia. Sci. Rep. 9, 2952. https:\/\/doi.org\/10.1038\/s41598-019-39367-z (2019).","journal-title":"Sci. Rep."},{"key":"99170_CR61","doi-asserted-by":"publisher","first-page":"241","DOI":"10.3758\/s13415-011-0083-5","volume":"12","author":"TA Niendam","year":"2012","unstructured":"Niendam, T. A. et al. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn. Affect. Behav. Neurosci. 12, 241\u2013268. https:\/\/doi.org\/10.3758\/s13415-011-0083-5 (2012).","journal-title":"Cogn. Affect. Behav. Neurosci."},{"key":"99170_CR62","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3233\/JAD-2012-112009","volume":"30","author":"MI Geerlings","year":"2012","unstructured":"Geerlings, M. I. et al. Depressive symptoms, antidepressant use, and brain volumes on MRI in a population-based cohort of old persons without dementia. J. Alzheimers Dis. 30, 75\u201382. https:\/\/doi.org\/10.3233\/JAD-2012-112009 (2012).","journal-title":"J. Alzheimers Dis."},{"key":"99170_CR63","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1001\/archgenpsychiatry.2010.199","volume":"68","author":"BC Ho","year":"2011","unstructured":"Ho, B. C., Andreasen, N. C., Ziebell, S., Pierson, R. & Magnotta, V. Long-term antipsychotic treatment and brain volumes: A longitudinal study of first-episode schizophrenia. Arch. Gen. Psychiatry 68, 128\u2013137. https:\/\/doi.org\/10.1001\/archgenpsychiatry.2010.199 (2011).","journal-title":"Arch. Gen. Psychiatry"},{"key":"99170_CR64","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","volume":"106","author":"BT Yeo","year":"2011","unstructured":"Yeo, B. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125\u20131165. https:\/\/doi.org\/10.1152\/jn.00338.2011 (2011).","journal-title":"J. Neurophysiol."},{"key":"99170_CR65","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.neuroimage.2011.05.086","volume":"58","author":"A Hyvarinen","year":"2011","unstructured":"Hyvarinen, A. Testing the ICA mixing matrix based on inter-subject or inter-session consistency. Neuroimage 58, 122\u2013136. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.05.086 (2011).","journal-title":"Neuroimage"},{"key":"99170_CR66","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/s1053-8119(03)00097-1","volume":"19","author":"V Kiviniemi","year":"2003","unstructured":"Kiviniemi, V., Kantola, J.-H., Jauhiainen, J., Hyv\u00e4rinen, A. & Tervonen, O. Independent component analysis of nondeterministic fMRI signal sources. Neuroimage 19, 253\u2013260. https:\/\/doi.org\/10.1016\/s1053-8119(03)00097-1 (2003).","journal-title":"Neuroimage"},{"key":"99170_CR67","doi-asserted-by":"publisher","first-page":"3865","DOI":"10.1002\/hbm.20813","volume":"30","author":"V Kiviniemi","year":"2009","unstructured":"Kiviniemi, V. et al. Functional segmentation of the brain cortex using high model order group PICA. Hum. Brain Mapp. 30, 3865\u20133886. https:\/\/doi.org\/10.1002\/hbm.20813 (2009).","journal-title":"Hum. Brain Mapp."},{"key":"99170_CR68","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1016\/j.neuroimage.2012.01.022","volume":"62","author":"SM Smith","year":"2012","unstructured":"Smith, S. M. The future of FMRI connectivity. Neuroimage 62, 1257\u20131266. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.022 (2012).","journal-title":"Neuroimage"},{"key":"99170_CR69","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1002\/hbm.21517","volume":"34","author":"DJ Kim","year":"2013","unstructured":"Kim, D. J., Park, B. & Park, H. J. Functional connectivity-based identification of subdivisions of the basal ganglia and thalamus using multilevel independent component analysis of resting state fMRI. Hum. Brain Mapp. 34, 1371\u20131385. https:\/\/doi.org\/10.1002\/hbm.21517 (2013).","journal-title":"Hum. Brain Mapp."},{"key":"99170_CR70","doi-asserted-by":"publisher","first-page":"13040","DOI":"10.1073\/pnas.0905267106","volume":"106","author":"SM Smith","year":"2009","unstructured":"Smith, S. M. et al. Correspondence of the brain\u2019s functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 106, 13040\u201313045. https:\/\/doi.org\/10.1073\/pnas.0905267106 (2009).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"99170_CR71","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1002\/hbm.20929","volume":"31","author":"A Abou-Elseoud","year":"2010","unstructured":"Abou-Elseoud, A. et al. The effect of model order selection in group PICA. Hum. Brain Mapp. 31, 1207\u20131216. https:\/\/doi.org\/10.1002\/hbm.20929 (2010).","journal-title":"Hum. Brain Mapp."},{"key":"99170_CR72","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.neuroimage.2004.10.043","volume":"25","author":"CF Beckmann","year":"2005","unstructured":"Beckmann, C. F. & Smith, S. M. Tensorial extensions of independent component analysis for multisubject FMRI analysis. Neuroimage 25, 294\u2013311. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.10.043 (2005).","journal-title":"Neuroimage"},{"key":"99170_CR73","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1016\/j.neuroimage.2015.04.027","volume":"114","author":"JR Hale","year":"2015","unstructured":"Hale, J. R. et al. Comparison of functional thalamic segmentation from seed-based analysis and ICA. Neuroimage 114, 448\u2013465. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.04.027 (2015).","journal-title":"Neuroimage"},{"key":"99170_CR74","unstructured":"Beckmann, C. F., Mackay, C. E., Filippini, N. & Smith, S. M. https:\/\/fsl.fmrib.ox.ac.uk\/fsl\/fslwiki\/DualRegressionhttps:\/\/fsl.fmrib.ox.ac.uk\/fsl\/fslwiki\/DualRegression?action=AttachFile&do=view&target=CB09.pdf (OHBM, 2009)."},{"key":"99170_CR75","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3389\/fnins.2017.00115","volume":"11","author":"LD Nickerson","year":"2017","unstructured":"Nickerson, L. D., Smith, S. M., Ongur, D. & Beckmann, C. F. Using dual regression to investigate network shape and amplitude in functional connectivity analyses. Front. Neurosci. 11, 115. https:\/\/doi.org\/10.3389\/fnins.2017.00115 (2017).","journal-title":"Front. Neurosci."},{"key":"99170_CR76","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.neuroimage.2014.01.060","volume":"92","author":"AM Winkler","year":"2014","unstructured":"Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M. & Nichols, T. E. Permutation inference for the general linear model. Neuroimage 92, 381\u2013397. https:\/\/doi.org\/10.1016\/j.neuroimage.2014.01.060 (2014).","journal-title":"Neuroimage"},{"key":"99170_CR77","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.neuroimage.2008.03.061","volume":"44","author":"SM Smith","year":"2009","unstructured":"Smith, S. M. & Nichols, T. E. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44, 83\u201398. https:\/\/doi.org\/10.1016\/j.neuroimage.2008.03.061 (2009).","journal-title":"Neuroimage"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-99170-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-99170-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-99170-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T16:18:47Z","timestamp":1670084327000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-99170-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,6]]},"references-count":77,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["99170"],"URL":"https:\/\/doi.org\/10.1038\/s41598-021-99170-7","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,6]]},"assertion":[{"value":"23 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 September 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"19815"}}