{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T08:10:04Z","timestamp":1793434204137,"version":"4.5.0"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Nouvelle-Aquitaine Regional Council","award":["4370420"],"award-info":[{"award-number":["4370420"]}],"id":[{"id":"https:\/\/ror.org\/01wjxf448","id-type":"ROR","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100006251","name":"University of Bordeaux","doi-asserted-by":"crossref","award":["ANR-10-IDEX-03-02"],"award-info":[{"award-number":["ANR-10-IDEX-03-02"]}],"id":[{"id":"10.13039\/501100006251","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Nouvelle-Aquitaine Regional Health Agency","award":["6066R-8"],"award-info":[{"award-number":["6066R-8"]}],"id":[{"id":"https:\/\/ror.org\/01d1vqp66","id-type":"ROR","asserted-by":"crossref"}]},{"name":"National Institute against cancer INCa","award":["INCa_11502"],"award-info":[{"award-number":["INCa_11502"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-94790-9","type":"journal-article","created":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T23:31:47Z","timestamp":1742513507000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Resting state connectivity patterns associated with trait anxiety in adolescence"],"prefix":"10.1038","volume":"15","author":[{"given":"Teresa","family":"Baggio","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Grecucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabrice","family":"Crivello","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Joliot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christophe","family":"Tzourio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,21]]},"reference":[{"key":"94790_CR1","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1177\/0706743716640757","volume":"62","author":"JM de Lijster","year":"2017","unstructured":"de Lijster, J. M. et al. The age of onset of anxiety disorders. Can. J. Psychiatry Rev. Can. Psychiatry 62, 237\u2013246 (2017).","journal-title":"Can. J. Psychiatry Rev. Can. Psychiatry"},{"key":"94790_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117581","volume":"226","author":"F Fan","year":"2021","unstructured":"Fan, F. et al. Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study. Neuroimage 226, 117581 (2021).","journal-title":"Neuroimage"},{"key":"94790_CR3","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.dcn.2014.08.002","volume":"10","author":"LE Sherman","year":"2014","unstructured":"Sherman, L. E. et al. Development of the default mode and central executive networks across early adolescence: A longitudinal study. Dev. Cogn. Neurosci. 10, 148\u2013159 (2014).","journal-title":"Dev. Cogn. Neurosci."},{"key":"94790_CR4","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/s11920-014-0543-z","volume":"17","author":"E Asselmann","year":"2015","unstructured":"Asselmann, E. & Beesdo-Baum, K. Predictors of the course of anxiety disorders in adolescents and young adults. Curr. Psychiatry Rep. 17, 7 (2015).","journal-title":"Curr. Psychiatry Rep."},{"key":"94790_CR5","volume-title":"The State-Trait Anxiety Inventory (Test Manual)","author":"CD Spielberger","year":"1970","unstructured":"Spielberger, C. D., Gorsuch, R. L. & Lushene, R. E. The State-Trait Anxiety Inventory (Test Manual) (Consulting Psychologists Press, 1970)."},{"key":"94790_CR6","first-page":"143","volume":"24","author":"I Ercan","year":"2015","unstructured":"Ercan, I. et al. Examining cut-off values for the state-trait anxiety inventory. Rev. Argent. Clin. Psicol. 24, 143\u2013148 (2015).","journal-title":"Rev. Argent. Clin. Psicol."},{"key":"94790_CR7","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1093\/arclin\/acab062.191","volume":"36","author":"M Womble","year":"2021","unstructured":"Womble, M., Jennings, S., Schatz, P. & Elbin, R. J. A-173 clinical cutoffs on the state-trait anxiety inventory for concussion. Arch. Clin. Neuropsychol. 36, 1228 (2021).","journal-title":"Arch. Clin. Neuropsychol."},{"key":"94790_CR8","doi-asserted-by":"publisher","first-page":"11112","DOI":"10.1038\/s41598-020-68008-z","volume":"10","author":"F Saviola","year":"2020","unstructured":"Saviola, F. et al. Trait and state anxiety are mapped differently in the human brain. Sci. Rep. 10, 11112 (2020).","journal-title":"Sci. Rep."},{"key":"94790_CR9","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.neuroimage.2016.03.024","volume":"133","author":"X Tian","year":"2016","unstructured":"Tian, X. et al. Assessment of trait anxiety and prediction of changes in state anxiety using functional brain imaging: A test\u2013retest study. NeuroImage 133, 408\u2013416 (2016).","journal-title":"NeuroImage"},{"key":"94790_CR10","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.pscychresns.2015.07.006","volume":"234","author":"S Modi","year":"2015","unstructured":"Modi, S., Kumar, M., Kumar, P. & Khushu, S. Aberrant functional connectivity of resting state networks associated with trait anxiety. Psychiatry Res. Neuroimaging 234, 25\u201334 (2015).","journal-title":"Psychiatry Res. Neuroimaging"},{"key":"94790_CR11","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1017\/S0033291710001248","volume":"41","author":"C Sehlmeyer","year":"2011","unstructured":"Sehlmeyer, C. et al. Neural correlates of trait anxiety in fear extinction. Psychol. Med. 41, 789\u2013798 (2011).","journal-title":"Psychol. Med."},{"key":"94790_CR12","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.biopsych.2012.06.003","volume":"73","author":"V Baur","year":"2013","unstructured":"Baur, V., H\u00e4nggi, J., Langer, N. & J\u00e4ncke, L. Resting-state functional and structural connectivity within an insula\u2013amygdala route specifically index state and trait anxiety. Biol. Psychiatry 73, 85\u201392 (2013).","journal-title":"Biol. Psychiatry"},{"key":"94790_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102191","volume":"25","author":"E Morgenroth","year":"2020","unstructured":"Morgenroth, E. et al. Using connectivity-based real-time fMRI neurofeedback to modulate attentional and resting state networks in people with high trait anxiety. NeuroImage Clin. 25, 102191 (2020).","journal-title":"NeuroImage Clin."},{"key":"94790_CR14","doi-asserted-by":"publisher","first-page":"2207","DOI":"10.1002\/hbm.22765","volume":"36","author":"M Comte","year":"2015","unstructured":"Comte, M. et al. Effect of trait anxiety on prefrontal control mechanisms during emotional conflict. Hum. Brain Mapp. 36, 2207\u20132214 (2015).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR15","doi-asserted-by":"publisher","first-page":"11614","DOI":"10.1523\/JNEUROSCI.2335-09.2009","volume":"29","author":"MJ Kim","year":"2009","unstructured":"Kim, M. J. & Whalen, P. J. The structural integrity of an amygdala\u2013prefrontal pathway predicts trait anxiety. J. Neurosci. 29, 11614\u201311618 (2009).","journal-title":"J. Neurosci."},{"key":"94790_CR16","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.biopsycho.2008.05.004","volume":"79","author":"EH Telzer","year":"2008","unstructured":"Telzer, E. H. et al. Relationship between trait anxiety, prefrontal cortex, and attention bias to angry faces in children and adolescents. Biol. Psychol. 79, 216\u2013222 (2008).","journal-title":"Biol. Psychol."},{"key":"94790_CR17","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1176\/appi.ajp.2013.12050651","volume":"170","author":"JC Britton","year":"2013","unstructured":"Britton, J. C. et al. Response to learned threat: An fMRI study in adolescent and adult anxiety. Am. J. Psychiatry 170, 1195\u20131204 (2013).","journal-title":"Am. J. Psychiatry"},{"key":"94790_CR18","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 (2011).","journal-title":"Trends Cogn. Sci."},{"key":"94790_CR19","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.tins.2012.04.012","volume":"35","author":"CM Sylvester","year":"2012","unstructured":"Sylvester, C. M. et al. Functional network dysfunction in anxiety and anxiety disorders. Trends Neurosci. 35, 527\u2013535 (2012).","journal-title":"Trends Neurosci."},{"key":"94790_CR20","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.mri.2019.05.031","volume":"64","author":"M Khosla","year":"2019","unstructured":"Khosla, M., Jamison, K., Ngo, G. H., Kuceyeski, A. & Sabuncu, M. R. Machine learning in resting-state fMRI analysis. Magn. Reson. Imaging 64, 101\u2013121 (2019).","journal-title":"Magn. Reson. Imaging"},{"key":"94790_CR21","doi-asserted-by":"publisher","first-page":"610","DOI":"10.3390\/s23020610","volume":"23","author":"T Baggio","year":"2023","unstructured":"Baggio, T., Grecucci, A., Meconi, F. & Messina, I. Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from morphometric features. Sensors 23, 610 (2023).","journal-title":"Sensors"},{"key":"94790_CR22","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.brainres.2011.03.018","volume":"1388","author":"W Liao","year":"2011","unstructured":"Liao, W. et al. Altered gray matter morphometry and resting-state functional and structural connectivity in social anxiety disorder. Brain Res. 1388, 167\u2013177 (2011).","journal-title":"Brain Res."},{"key":"94790_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2019.109385","volume":"133","author":"B Menon","year":"2019","unstructured":"Menon, B. Towards a new model of understanding\u2014The triple network, psychopathology and the structure of the mind. Med. Hypotheses 133, 109385 (2019).","journal-title":"Med. Hypotheses"},{"key":"94790_CR24","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1016\/j.ejrad.2007.02.006","volume":"63","author":"X-H Zhao","year":"2007","unstructured":"Zhao, X.-H. et al. Altered default mode network activity in patient with anxiety disorders: An fMRI study. Eur. J. Radiol. 63, 373\u2013378 (2007).","journal-title":"Eur. J. Radiol."},{"key":"94790_CR25","first-page":"119","volume":"5","author":"ML Dixon","year":"2020","unstructured":"Dixon, M. L. et al. Emotion regulation in social anxiety disorder: Reappraisal and acceptance of negative self-beliefs. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 5, 119\u2013129 (2020).","journal-title":"Biol. Psychiatry Cogn. Neurosci. Neuroimaging"},{"key":"94790_CR26","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neubiorev.2018.11.005","volume":"96","author":"J Xu","year":"2019","unstructured":"Xu, J. et al. Anxious brain networks: A coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety. Neurosci. Biobehav. Rev. 96, 21\u201330 (2019).","journal-title":"Neurosci. Biobehav. Rev."},{"key":"94790_CR27","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s11682-015-9375-7","volume":"10","author":"JF Coutinho","year":"2016","unstructured":"Coutinho, J. F. et al. Default mode network dissociation in depressive and anxiety states. Brain Imaging Behav. 10, 147\u2013157 (2016).","journal-title":"Brain Imaging Behav."},{"key":"94790_CR28","doi-asserted-by":"publisher","first-page":"704","DOI":"10.1002\/gps.4051","volume":"29","author":"C Andreescu","year":"2014","unstructured":"Andreescu, C., Sheu, L. K., Tudorascu, D., Walker, S. & Aizenstein, H. The ages of anxiety\u2014Differences across the lifespan in the default mode network functional connectivity in generalized anxiety disorder. Int. J. Geriatr. Psychiatry 29, 704\u2013712 (2014).","journal-title":"Int. J. Geriatr. Psychiatry"},{"key":"94790_CR29","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.comppsych.2017.12.002","volume":"82","author":"C Yuan","year":"2018","unstructured":"Yuan, C. et al. Precuneus-related regional and network functional deficits in social anxiety disorder: A resting-state functional MRI study. Compr. Psychiatry 82, 22\u201329 (2018).","journal-title":"Compr. Psychiatry"},{"key":"94790_CR30","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.jad.2017.12.086","volume":"229","author":"C-H Lai","year":"2018","unstructured":"Lai, C.-H. The regional homogeneity of cingulate-precuneus regions: The putative biomarker for depression and anxiety. J. Affect. Disord. 229, 171\u2013176 (2018).","journal-title":"J. Affect. Disord."},{"key":"94790_CR31","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1016\/j.jad.2013.04.026","volume":"150","author":"Y-W Shin","year":"2013","unstructured":"Shin, Y.-W. et al. Increased resting-state functional connectivity between the anterior cingulate cortex and the precuneus in panic disorder: Resting-state connectivity in panic disorder. J. Affect. Disord. 150, 1091\u20131095 (2013).","journal-title":"J. Affect. Disord."},{"key":"94790_CR32","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1002\/da.23142","volume":"38","author":"C Feurer","year":"2021","unstructured":"Feurer, C. et al. Resting state functional connectivity correlates of rumination and worry in internalizing psychopathologies. Depress. Anxiety 38, 488\u2013497 (2021).","journal-title":"Depress. Anxiety"},{"key":"94790_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116287","volume":"206","author":"H-X Zhou","year":"2020","unstructured":"Zhou, H.-X. et al. Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression. NeuroImage 206, 116287 (2020).","journal-title":"NeuroImage"},{"key":"94790_CR34","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1111\/j.1745-6924.2008.00088.x","volume":"3","author":"S Nolen-Hoeksema","year":"2008","unstructured":"Nolen-Hoeksema, S., Wisco, B. E. & Lyubomirsky, S. Rethinking rumination. Perspect. Psychol. Sci. 3, 400\u2013424 (2008).","journal-title":"Perspect. Psychol. Sci."},{"key":"94790_CR35","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/j.neuroimage.2011.02.064","volume":"56","author":"A Hahn","year":"2011","unstructured":"Hahn, A. et al. Reduced resting-state functional connectivity between amygdala and orbitofrontal cortex in social anxiety disorder. NeuroImage 56, 881\u2013889 (2011).","journal-title":"NeuroImage"},{"key":"94790_CR36","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1016\/j.neuroimage.2007.09.014","volume":"39","author":"P Wright","year":"2008","unstructured":"Wright, P. et al. Dissociated responses in the amygdala and orbitofrontal cortex to bottom-up and top-down components of emotional evaluation. NeuroImage 39, 894\u2013902 (2008).","journal-title":"NeuroImage"},{"key":"94790_CR37","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1002\/hbm.1048","volume":"14","author":"VD Calhoun","year":"2001","unstructured":"Calhoun, V. D., Adali, T., Pearlson, G. D. & Pekar, J. J. A method for making group inferences from functional MRI data using independent component analysis. Hum. Brain Mapp. 14, 140\u2013151 (2001).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101747","volume":"22","author":"MS Salman","year":"2019","unstructured":"Salman, M. S. et al. Group ICA for identifying biomarkers in schizophrenia: \u2018Adaptive\u2019 networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression. NeuroImage Clin. 22, 101747 (2019).","journal-title":"NeuroImage Clin."},{"key":"94790_CR39","doi-asserted-by":"publisher","first-page":"2057","DOI":"10.1007\/s00429-021-02334-4","volume":"226","author":"A Tsuchida","year":"2021","unstructured":"Tsuchida, A. et al. The MRi-share database: Brain imaging in a cross-sectional cohort of 1870 university students. Brain Struct. Funct. 226, 2057\u20132085 (2021).","journal-title":"Brain Struct. Funct."},{"key":"94790_CR40","volume-title":"Manual for the State-Trait Anxiety Inventory","author":"CD Spielberger","year":"1983","unstructured":"Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R. & Jacobs, G. A. Manual for the State-Trait Anxiety Inventory (Consulting Psychologists Press, 1983)."},{"key":"94790_CR41","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1089\/brain.2012.0073","volume":"2","author":"S Whitfield-Gabrieli","year":"2012","unstructured":"Whitfield-Gabrieli, S. & Nieto-Castanon, A. Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2, 125\u2013141 (2012).","journal-title":"Brain Connect."},{"key":"94790_CR42","doi-asserted-by":"publisher","DOI":"10.56441\/hilbertpress.2207.6598","volume-title":"Handbook of Functional Connectivity Magnetic Resonance Imaging Methods in CONN","author":"A Nieto-Castanon","year":"2020","unstructured":"Nieto-Castanon, A. Handbook of Functional Connectivity Magnetic Resonance Imaging Methods in CONN (Hilbert Press, 2020)."},{"key":"94790_CR43","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1006\/nimg.2001.0746","volume":"13","author":"JL Andersson","year":"2001","unstructured":"Andersson, J. L., Hutton, C., Ashburner, J., Turner, R. & Friston, K. Modeling geometric deformations in EPI time series. NeuroImage 13, 903\u2013919 (2001).","journal-title":"NeuroImage"},{"key":"94790_CR44","unstructured":"Whitfield-Gabrieli, S., Nieto-Castanon, A. & Ghosh, S. Artifact Detection Tools (ART) (Cambridge, 2011)."},{"key":"94790_CR45","doi-asserted-by":"publisher","unstructured":"Nieto-Castanon, A. Preparing fMRI Data for Statistical Analysis. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2210.13564 (2022).","DOI":"10.48550\/arXiv.2210.13564"},{"key":"94790_CR46","doi-asserted-by":"publisher","first-page":"5331","DOI":"10.1002\/hbm.23737","volume":"38","author":"VD Calhoun","year":"2017","unstructured":"Calhoun, V. D. et al. The impact of T1 versus EPI spatial normalization templates for fMRI data analyses. Hum. Brain Mapp. 38, 5331\u20135342 (2017).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR47","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s00234-020-02523-8","volume":"63","author":"AAS Alahmadi","year":"2021","unstructured":"Alahmadi, A. A. S. Effects of different smoothing on global and regional resting functional connectivity. Neuroradiology 63, 99\u2013109 (2021).","journal-title":"Neuroradiology"},{"key":"94790_CR48","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.neuroimage.2013.05.116","volume":"82","author":"MN Hallquist","year":"2013","unstructured":"Hallquist, M. N., Hwang, K. & Luna, B. The nuisance of nuisance regression: Spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity. NeuroImage 82, 208\u2013225 (2013).","journal-title":"NeuroImage"},{"key":"94790_CR49","volume-title":"Introduction to Resting State fMRI Functional Connectivity","author":"J Bijsterbosch","year":"2017","unstructured":"Bijsterbosch, J. et al. Introduction to Resting State fMRI Functional Connectivity (Oxford University Press, 2017)."},{"key":"94790_CR50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068910","volume":"8","author":"M Xia","year":"2013","unstructured":"Xia, M., Wang, J. & He, Y. BrainNet viewer: A network visualization tool for human brain connectomics. PLoS ONE 8, e68910 (2013).","journal-title":"PLoS ONE"},{"key":"94790_CR51","unstructured":"Rorden, C. NITRC: MRIcroGL: Tool\/Resource Info. https:\/\/www.nitrc.org\/projects\/mricrogl (2014)."},{"key":"94790_CR52","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.neuroimage.2017.10.024","volume":"165","author":"F Zidda","year":"2018","unstructured":"Zidda, F. et al. Default mode network connectivity of fear- and anxiety-related cue and context conditioning. NeuroImage 165, 190\u2013199 (2018).","journal-title":"NeuroImage"},{"key":"94790_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cobeha.2020.11.004","volume":"39","author":"ML Dixon","year":"2021","unstructured":"Dixon, M. L. & Gross, J. J. Dynamic network organization of the self: Implications for affective experience. Curr. Opin. Behav. Sci. 39, 1\u20139 (2021).","journal-title":"Curr. Opin. Behav. Sci."},{"key":"94790_CR54","doi-asserted-by":"publisher","first-page":"6211","DOI":"10.1523\/JNEUROSCI.1246-08.2008","volume":"28","author":"RP Alvarez","year":"2008","unstructured":"Alvarez, R. P., Biggs, A., Chen, G., Pine, D. S. & Grillon, C. Contextual fear conditioning in humans: Cortical-hippocampal and amygdala contributions. J. Neurosci. 28, 6211\u20136219 (2008).","journal-title":"J. Neurosci."},{"key":"94790_CR55","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/j.cortex.2014.09.014","volume":"63","author":"M Andreatta","year":"2015","unstructured":"Andreatta, M. et al. Initial and sustained brain responses to contextual conditioned anxiety in humans. Cortex 63, 352\u2013363 (2015).","journal-title":"Cortex"},{"key":"94790_CR56","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1037\/a0026517","volume":"12","author":"AB Satpute","year":"2012","unstructured":"Satpute, A. B., Mumford, J. A., Naliboff, B. D. & Poldrack, R. A. Human anterior and posterior hippocampus respond distinctly to state and trait anxiety. Emotion 12, 58\u201368 (2012).","journal-title":"Emotion"},{"key":"94790_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2024.120789","volume":"300","author":"J Wang","year":"2024","unstructured":"Wang, J. et al. The critical mediating roles of the middle temporal gyrus and ventrolateral prefrontal cortex in the dynamic processing of interpersonal emotion regulation. NeuroImage 300, 120789 (2024).","journal-title":"NeuroImage"},{"key":"94790_CR58","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.neuroimage.2016.04.015","volume":"134","author":"X Xie","year":"2016","unstructured":"Xie, X. et al. How do you make me feel better? Social cognitive emotion regulation and the default mode network. NeuroImage 134, 270\u2013280 (2016).","journal-title":"NeuroImage"},{"key":"94790_CR59","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1037\/14857-002","volume-title":"Emotion, Aging, and Health","author":"B Martins","year":"2016","unstructured":"Martins, B. & Mather, M. Default mode network and later-life emotion regulation: Linking functional connectivity patterns and emotional outcomes. In Emotion, Aging, and Health (eds Ong, A. D. & L\u00f6ckenhoff, C. E.) 9\u201329 (American Psychological Association, 2016). https:\/\/doi.org\/10.1037\/14857-002."},{"key":"94790_CR60","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1002\/hbm.10075","volume":"18","author":"RJ Maddock","year":"2002","unstructured":"Maddock, R. J., Garrett, A. S. & Buonocore, M. H. Posterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task. Hum. Brain Mapp. 18, 30\u201341 (2002).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR61","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1007\/s11682-021-00599-1","volume":"16","author":"F Lu","year":"2022","unstructured":"Lu, F. et al. Superior frontal gyrus and middle temporal gyrus connectivity mediates the relationship between neuroticism and thought suppression. Brain Imaging Behav. 16, 1400\u20131409 (2022).","journal-title":"Brain Imaging Behav."},{"key":"94790_CR62","doi-asserted-by":"publisher","first-page":"5159","DOI":"10.1002\/hbm.24763","volume":"40","author":"J Xu","year":"2019","unstructured":"Xu, J. et al. Delineating functional segregations of the human middle temporal gyrus with resting-state functional connectivity and coactivation patterns. Hum. Brain Mapp. 40, 5159\u20135171 (2019).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR63","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.jad.2017.01.043","volume":"214","author":"J-Y Yun","year":"2017","unstructured":"Yun, J.-Y. et al. The left middle temporal gyrus in the middle of an impaired social-affective communication network in social anxiety disorder. J. Affect. Disord. 214, 53\u201359 (2017).","journal-title":"J. Affect. Disord."},{"key":"94790_CR64","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1093\/brain\/awt162","volume":"137","author":"R Leech","year":"2014","unstructured":"Leech, R. & Sharp, D. J. The role of the posterior cingulate cortex in cognition and disease. Brain 137, 12\u201332 (2014).","journal-title":"Brain"},{"key":"94790_CR65","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1016\/j.neuroimage.2009.04.073","volume":"47","author":"PJ Gianaros","year":"2009","unstructured":"Gianaros, P. J. & Sheu, L. K. A review of neuroimaging studies of stressor-evoked blood pressure reactivity: Emerging evidence for a brain-body pathway to coronary heart disease risk. NeuroImage 47, 922\u2013936 (2009).","journal-title":"NeuroImage"},{"key":"94790_CR66","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1111\/nyas.12246","volume":"1307","author":"JA Brewer","year":"2014","unstructured":"Brewer, J. A. & Garrison, K. A. The posterior cingulate cortex as a plausible mechanistic target of meditation: Findings from neuroimaging. Ann. N. Y. Acad. Sci. 1307, 19\u201327 (2014).","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"94790_CR67","doi-asserted-by":"publisher","first-page":"2367","DOI":"10.1007\/s00221-019-05595-y","volume":"237","author":"JN Busler","year":"2019","unstructured":"Busler, J. N., Yanes, J. A., Bird, R. T., Reid, M. A. & Robinson, J. L. Differential functional patterns of the human posterior cingulate cortex during activation and deactivation: A meta-analytic connectivity model. Exp. Brain Res. 237, 2367\u20132385 (2019).","journal-title":"Exp. Brain Res."},{"key":"94790_CR68","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1002\/hbm.22202","volume":"35","author":"FA Cowdrey","year":"2014","unstructured":"Cowdrey, F. A., Filippini, N., Park, R. J., Smith, S. M. & McCabe, C. Increased resting state functional connectivity in the default mode network in recovered anorexia nervosa. Hum. Brain Mapp. 35, 483\u2013491 (2014).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR69","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1007\/s12311-023-01652-z","volume":"23","author":"A Ciricugno","year":"2024","unstructured":"Ciricugno, A. et al. Cerebellar neurostimulation for boosting social and affective functions: Implications for the rehabilitation of hereditary ataxia patients. Cerebellum Lond. Engl. 23, 1651\u20131677 (2024).","journal-title":"Cerebellum Lond. Engl."},{"key":"94790_CR70","doi-asserted-by":"publisher","first-page":"1130505","DOI":"10.3389\/fncel.2023.1130505","volume":"17","author":"PW Chin","year":"2023","unstructured":"Chin, P. W. & Augustine, G. J. The cerebellum and anxiety. Front. Cell. Neurosci. 17, 1130505 (2023).","journal-title":"Front. Cell. Neurosci."},{"key":"94790_CR71","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/s13229-023-00551-8","volume":"14","author":"Y Elandaloussi","year":"2023","unstructured":"Elandaloussi, Y. et al. Understanding the relationship between cerebellar structure and social abilities. Mol. Autism 14, 18 (2023).","journal-title":"Mol. Autism"},{"key":"94790_CR72","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2019.134596","volume":"715","author":"K Li","year":"2020","unstructured":"Li, K. et al. The spontaneous activity and functional network of the occipital cortex is correlated with state anxiety in healthy adults. Neurosci. Lett. 715, 134596 (2020).","journal-title":"Neurosci. Lett."},{"key":"94790_CR73","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.neuroimage.2017.12.011","volume":"190","author":"X Yang","year":"2019","unstructured":"Yang, X. et al. Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder. NeuroImage 190, 213\u2013223 (2019).","journal-title":"NeuroImage"},{"key":"94790_CR74","doi-asserted-by":"publisher","first-page":"1549","DOI":"10.1016\/j.neuroimage.2010.05.010","volume":"52","author":"W Liao","year":"2010","unstructured":"Liao, W. et al. Selective aberrant functional connectivity of resting state networks in social anxiety disorder. NeuroImage 52, 1549\u20131558 (2010).","journal-title":"NeuroImage"},{"key":"94790_CR75","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1093\/brain\/awl004","volume":"129","author":"AE Cavanna","year":"2006","unstructured":"Cavanna, A. E. & Trimble, M. R. The precuneus: A review of its functional anatomy and behavioural correlates. Brain 129, 564\u2013583 (2006).","journal-title":"Brain"},{"key":"94790_CR76","doi-asserted-by":"publisher","DOI":"10.1016\/j.neures.2023.12.004","author":"A Yamaguchi","year":"2023","unstructured":"Yamaguchi, A. & Jitsuishi, T. Structural connectivity of the precuneus and its relation to resting-state networks. Neurosci. Res. https:\/\/doi.org\/10.1016\/j.neures.2023.12.004 (2023).","journal-title":"Neurosci. Res."},{"key":"94790_CR77","doi-asserted-by":"publisher","first-page":"3898","DOI":"10.1002\/hbm.24219","volume":"39","author":"H Geng","year":"2018","unstructured":"Geng, H. et al. Altered brain activation and connectivity during anticipation of uncertain threat in trait anxiety. Hum. Brain Mapp. 39, 3898\u20133914 (2018).","journal-title":"Hum. Brain Mapp."},{"key":"94790_CR78","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpr.2020.101928","volume":"82","author":"KA Knowles","year":"2020","unstructured":"Knowles, K. A. & Olatunji, B. O. Specificity of trait anxiety in anxiety and depression: Meta-analysis of the state-trait anxiety inventory. Clin. Psychol. Rev. 82, 101928 (2020).","journal-title":"Clin. Psychol. Rev."},{"key":"94790_CR79","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0191-8869(02)00020-X","volume":"34","author":"R Gomez","year":"2003","unstructured":"Gomez, R. & Francis, L. M. Generalised anxiety disorder: Relationships with Eysenck\u2019s, Gray\u2019s and Newman\u2019s theories. Personal. Individ. Differ. 34, 3\u201317 (2003).","journal-title":"Personal. Individ. Differ."},{"key":"94790_CR80","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.neubiorev.2018.01.012","volume":"87","author":"M Weger","year":"2018","unstructured":"Weger, M. & Sandi, C. High anxiety trait: A vulnerable phenotype for stress-induced depression. Neurosci. Biobehav. Rev. 87, 27\u201337 (2018).","journal-title":"Neurosci. Biobehav. Rev."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94790-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94790-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94790-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T23:25:01Z","timestamp":1742599501000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94790-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,21]]},"references-count":80,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["94790"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-94790-9","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2025.01.08.631901","asserted-by":"object"}]},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,21]]},"assertion":[{"value":"6 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The study protocol was approved by the Comite de Protection des Personnes Sud-Ouest et Outre-Mer (local ethics committee CPP SOOMIII) with agreement nr 2015-A00850-49.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics declarations"}}],"article-number":"9711"}}