{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T11:15:40Z","timestamp":1790680540277,"version":"4.1.0"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T00:00:00Z","timestamp":1544400000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T00:00:00Z","timestamp":1544400000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Hum Behav"],"DOI":"10.1038\/s41562-018-0484-3","type":"journal-article","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T12:58:25Z","timestamp":1544187505000},"page":"63-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":131,"title":["Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience"],"prefix":"10.1038","volume":"3","author":[{"given":"Jackob N.","family":"Keynan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avihay","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gilan","family":"Jackont","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nili","family":"Green","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8816-5667","authenticated-orcid":false,"given":"Noam","family":"Goldway","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Davidov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yehudit","family":"Meir-Hasson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gal","family":"Raz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan","family":"Intrator","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eyal","family":"Fruchter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keren","family":"Ginat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eugene","family":"Laska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6113-9696","authenticated-orcid":false,"given":"Marc","family":"Cavazza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4182-4335","authenticated-orcid":false,"given":"Talma","family":"Hendler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,12,10]]},"reference":[{"key":"484_CR1","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1016\/j.neuroimage.2009.07.056","volume":"49","author":"SJ Johnston","year":"2010","unstructured":"Johnston, S. J., Boehm, S. G., Healy, D., Goebel, R. & Linden, D. E. J. Neurofeedback: a promising tool for the self-regulation of emotion networks. Neuroimage 49, 1066\u20131072 (2010).","journal-title":"Neuroimage"},{"key":"484_CR2","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1038\/nrn2920","volume":"11","author":"L Pessoa","year":"2010","unstructured":"Pessoa, L. & Adolphs, R. Emotion processing and the amygdala: from a \u2018low road\u2019 to \u2018many roads\u2019 of evaluating biological significance. Nat. Rev. Neurosci. 11, 773\u2013783 (2010).","journal-title":"Nat. Rev. Neurosci."},{"key":"484_CR3","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.tics.2013.04.009","volume":"17","author":"N Birbaumer","year":"2013","unstructured":"Birbaumer, N., Ruiz, S. & Sitaram, R. Learned regulation of brain metabolism. Trends Cogn. Sci. 17, 295\u2013302 (2013).","journal-title":"Trends Cogn. Sci."},{"key":"484_CR4","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.biopsych.2015.12.024","volume":"80","author":"JN Keynan","year":"2016","unstructured":"Keynan, J. N. et al. Limbic activity modulation guided by functional magnetic resonance imaging-inspired electroencephalography improves implicit emotion regulation. Biol. Psychiatry 80, 490\u2013496 (2016).","journal-title":"Biol. Psychiatry"},{"key":"484_CR5","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.neuroimage.2013.11.004","volume":"102","author":"Y Meir-Hasson","year":"2014","unstructured":"Meir-Hasson, Y., Kinreich, S., Podlipsky, I., Hendler, T. & Intrator, N. An EEG finger-print of fMRI deep regional activation. Neuroimage 102, 128\u2013141 (2014).","journal-title":"Neuroimage"},{"key":"484_CR6","doi-asserted-by":"publisher","first-page":"e0154968","DOI":"10.1371\/journal.pone.0154968","volume":"11","author":"Y Meir-Hasson","year":"2016","unstructured":"Meir-Hasson, Y. et al. One-class fMRI-inspired EEG model for self-regulation training. PLoS ONE 11, e0154968 (2016).","journal-title":"PLoS ONE"},{"key":"484_CR7","doi-asserted-by":"publisher","first-page":"8877","DOI":"10.1523\/JNEUROSCI.2063-07.2007","volume":"27","author":"T Johnstone","year":"2007","unstructured":"Johnstone, T., Reekum, C. M., van, Urry, H. L., Kalin, N. H. & Davidson, R. J. Failure to regulate: counterproductive recruitment of top-down prefrontal\u2013subcortical circuitry in major depression. J. Neurosci. 27, 8877\u20138884 (2007).","journal-title":"J. Neurosci."},{"key":"484_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/1047840X.2014.940781","volume":"26","author":"JJ Gross","year":"2015","unstructured":"Gross, J. J. Emotion regulation: current status and future prospects. Psychol. Inq. 26, 1\u201326 (2015).","journal-title":"Psychol. Inq."},{"key":"484_CR9","doi-asserted-by":"publisher","first-page":"14120","DOI":"10.1073\/pnas.0903183106","volume":"106","author":"R Admon","year":"2009","unstructured":"Admon, R. et al. Human vulnerability to stress depends on amygdala\u2019s predisposition and hippocampal plasticity. Proc. Natl Acad. Sci. USA 106, 14120\u201314125 (2009).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"484_CR10","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neuroimage.2015.10.027","volume":"125","author":"C Paret","year":"2016","unstructured":"Paret, C. et al. fMRI neurofeedback of amygdala response to aversive stimuli enhances prefrontal\u2013limbic brain connectivity. Neuroimage 125, 182\u2013188 (2016).","journal-title":"Neuroimage"},{"key":"484_CR11","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/hbm.23402","volume":"38","author":"AA Nicholson","year":"2017","unstructured":"Nicholson, A. A. et al. The neurobiology of emotion regulation in posttraumatic stress disorder: amygdala downregulation via real-time fMRI neurofeedback. Hum. Brain Mapp. 38, 541\u2013560 (2017).","journal-title":"Hum. Brain Mapp."},{"key":"484_CR12","doi-asserted-by":"publisher","first-page":"e79184","DOI":"10.1371\/journal.pone.0079184","volume":"8","author":"V Zotev","year":"2013","unstructured":"Zotev, V., Phillips, R., Young, K. D., Drevets, W. C. & Bodurka, J. Prefrontal control of the amygdala during real-time fMRI neurofeedback training of emotion regulation. PLoS ONE 8, e79184 (2013).","journal-title":"PLoS ONE"},{"key":"484_CR13","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1093\/scan\/nsw016","volume":"11","author":"C Paret","year":"2016","unstructured":"Paret, C. et al. Alterations of amygdala\u2013prefrontal connectivity with real-time fMRI neurofeedback in BPD patients. Soc. Cogn. Affect. Neurosci. 11, 952\u2013960 (2016).","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"484_CR14","doi-asserted-by":"publisher","first-page":"183","DOI":"10.3389\/fnhum.2016.00183","volume":"10","author":"M Marxen","year":"2016","unstructured":"Marxen, M. et al. Amygdala regulation following fMRI-neurofeedback without instructed strategies. Front. Hum. Neurosci. 10, 183 (2016).","journal-title":"Front. Hum. Neurosci."},{"key":"484_CR15","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1176\/appi.ajp.2017.16060637","volume":"174","author":"KD Young","year":"2017","unstructured":"Young, K. D. et al. Randomized clinical trial of real-time fMRI amygdala neurofeedback for major depressive disorder: effects on symptoms and autobiographical memory recall. Am. J. Psychiatry 174, 748\u2013755 (2017).","journal-title":"Am. J. Psychiatry"},{"key":"484_CR16","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1159\/000371714","volume":"84","author":"RT Thibault","year":"2015","unstructured":"Thibault, R. T., Lifshitz, M., Birbaumer, N. & Raz, A. Neurofeedback, self-regulation, and brain imaging: clinical science and fad in the service of mental disorders. Psychother. Psychosom. 84, 193\u2013207 (2015).","journal-title":"Psychother. Psychosom."},{"key":"484_CR17","unstructured":"Hendler, T., Intrator, N., Klovatch, I., Kinreich, S. & Meir-Hasson, Y. Method and system for use in analyzing neural activity in a subject\u2019s brain. US Patent US20140148657 A1, WO2012104853 A3, EP2670299 A2 (2011)."},{"key":"484_CR18","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1093\/milmed\/165.2.147","volume":"165","author":"MA Gold","year":"2000","unstructured":"Gold, M. A. Cadet basic training: an ethnographic study of stress and coping. Mil. Med. 165, 147\u2013152 (2000).","journal-title":"Mil. Med."},{"key":"484_CR19","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1093\/milmed\/166.9.796","volume":"166","author":"GE Larson","year":"2001","unstructured":"Larson, G. E. Physical symptoms as indicators of depression and anxiety. Mil. Med. 166, 796\u2013799 (2001).","journal-title":"Mil. Med."},{"key":"484_CR20","unstructured":"Spielberger, C. D., Gorsuch, R. L. & Lushene, R. Test Manual for the State-Trait Anxiety Inventory (Consulting Psychologists Press, Palo Alto, 1970)."},{"key":"484_CR21","doi-asserted-by":"crossref","unstructured":"Taylor, G. J., Bagby, R. M. & Parker, J. D. A. Disorders of Affect Regulation (Cambridge Univ. Press, Cambridge, 1997).","DOI":"10.1017\/CBO9780511526831"},{"key":"484_CR22","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1176\/appi.ajp.2009.09070931","volume":"167","author":"A Etkin","year":"2010","unstructured":"Etkin, A., Prater, K. E., Hoeft, F., Menon, V. & Schatzberg, A. F. Failure of anterior cingulate activation and connectivity with the amygdala during implicit regulation of emotional processing in generalized anxiety disorder. Am. J. Psychiatry 167, 545\u2013554 (2010).","journal-title":"Am. J. Psychiatry"},{"key":"484_CR23","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1038\/nrn.2016.164","volume":"18","author":"R Sitaram","year":"2017","unstructured":"Sitaram, R. et al. Closed-loop brain training: the science of neurofeedback. Nat. Rev. Neurosci. 18, 86\u2013100 (2017).","journal-title":"Nat. Rev. Neurosci."},{"key":"484_CR24","doi-asserted-by":"publisher","first-page":"3190","DOI":"10.1002\/hbm.23584","volume":"38","author":"AA Alegria","year":"2017","unstructured":"Alegria, A. A. et al. Real-time fMRI neurofeedback in adolescents with attention deficit hyperactivity disorder. Hum. Brain Mapp. 38, 3190\u20133209 (2017).","journal-title":"Hum. Brain Mapp."},{"key":"484_CR25","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.neubiorev.2014.03.015","volume":"44","author":"JH Gruzelier","year":"2014","unstructured":"Gruzelier, J. H. EEG-neurofeedback for optimising performance. III: A review of methodological and theoretical considerations. Neurosci. Biobehav. Rev. 44, 159\u2013182 (2014).","journal-title":"Neurosci. Biobehav. Rev."},{"key":"484_CR26","doi-asserted-by":"publisher","first-page":"52","DOI":"10.3389\/frobt.2016.00052","volume":"3","author":"A Cohen","year":"2016","unstructured":"Cohen, A. et al. Multi-modal virtual scenario enhances neurofeedback learning. Front. Robot. AI 3, 52 (2016).","journal-title":"Front. Robot. AI"},{"key":"484_CR27","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1016\/j.neuron.2006.07.029","volume":"51","author":"A Etkin","year":"2006","unstructured":"Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R. & Hirsch, J. Resolving emotional conflict: a role for the rostral anterior cingulate cortex in modulating activity in the amygdala. Neuron 51, 871\u2013882 (2006).","journal-title":"Neuron"},{"key":"484_CR28","unstructured":"Durham, C. N. Posttraumatic stress disorder and resilience in Iraq and Afghanistan veterans: the mediator roles of masculine gender role stress and alexithymia (New Mexico State Univ., Las Cruces, 2016)."},{"key":"484_CR29","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1196\/annals.1364.029","volume":"1071","author":"PA Frewen","year":"2006","unstructured":"Frewen, P. A., Pain, C., Dozois, D. J. A. & Lanius, R. A. Alexithymia in PTSD. Ann. N. Y. Acad. Sci. 1071, 397\u2013400 (2006).","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"484_CR30","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.cortex.2015.10.024","volume":"74","author":"RT Thibault","year":"2016","unstructured":"Thibault, R. T., Lifshitz, M. & Raz, A. The self-regulating brain and neurofeedback: experimental science and clinical promise. Cortex 74, 247\u2013261 (2016).","journal-title":"Cortex"},{"key":"484_CR31","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/s00127-007-0265-1","volume":"43","author":"M Franz","year":"2008","unstructured":"Franz, M. et al. Alexithymia in the German general population. Soc. Psychiatry Psychiatr. Epidemiol. 43, 54\u201362 (2008).","journal-title":"Soc. Psychiatry Psychiatr. Epidemiol."},{"key":"484_CR32","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/S0022-3999(98)00053-1","volume":"46","author":"JK Salminen","year":"1999","unstructured":"Salminen, J. K., Saarij\u00e4rvi, S., \u00c4\u00e4rel\u00e4, E., Toikka, T. & Kauhanen, J. Prevalence of alexithymia and its association with sociodemographic variables in the general population of Finland. J. Psychosom. Res. 46, 75\u201382 (1999).","journal-title":"J. Psychosom. Res."},{"key":"484_CR33","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1176\/ajp.147.9.1216","volume":"147","author":"T Lindholm","year":"1990","unstructured":"Lindholm, T., Lehtinen, V., Hyypp\u00e4, M. T. & Puukka, P. Alexithymic features in relation to the dexamethasone suppression test in a Finnish population sample. Am. J. Psychiatry 147, 1216\u20131219 (1990).","journal-title":"Am. J. Psychiatry"},{"key":"484_CR34","doi-asserted-by":"publisher","first-page":"e38115","DOI":"10.1371\/journal.pone.0038115","volume":"7","author":"DEJ Linden","year":"2012","unstructured":"Linden, D. E. J. et al. Real-time self-regulation of emotion networks in patients with depression. PLoS ONE 7, e38115 (2012).","journal-title":"PLoS ONE"},{"key":"484_CR35","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1038\/nrn3315","volume":"13","author":"N Censor","year":"2012","unstructured":"Censor, N., Sagi, D. & Cohen, L. G. Common mechanisms of human perceptual and motor learning. Nat. Rev. Neurosci. 13, 658\u2013664 (2012).","journal-title":"Nat. Rev. Neurosci."},{"key":"484_CR36","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1093\/brain\/awx033","volume":"140","author":"RT Thibault","year":"2017","unstructured":"Thibault, R. T., Lifshitz, M. & Raz, A. Neurofeedback or neuroplacebo? Brain 140, 862\u2013864 (2017).","journal-title":"Brain"},{"key":"484_CR37","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1159\/000093953","volume":"75","author":"W De Vente","year":"2006","unstructured":"De Vente, W., Kamphuis, J. H. & Emmelkamp, P. M. G. Alexithymia, risk factor or consequence of work-related stress? Psychother. Psychosom. 75, 304\u2013311 (2006).","journal-title":"Psychother. Psychosom."},{"key":"484_CR38","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1002\/jts.20320","volume":"21","author":"PA Frewen","year":"2008","unstructured":"Frewen, P. A., Dozois, D. J. A., Neufeld, R. W. J. & Lanius, R. A. Meta-analysis of alexithymia in posttraumatic stress disorder. J. Trauma Stress 21, 243\u2013246 (2008).","journal-title":"J. Trauma Stress"},{"key":"484_CR39","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.tics.2010.11.004","volume":"15","author":"A Etkin","year":"2011","unstructured":"Etkin, A., Egner, T. & Kalisch, R. Emotional processing in anterior cingulate and medial prefrontal cortex. Trends Cogn. Sci. 15, 85\u201393 (2011).","journal-title":"Trends Cogn. Sci."},{"key":"484_CR40","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.nicl.2018.04.010","volume":"19","author":"V Zotev","year":"2018","unstructured":"Zotev, V. et al. Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD. Neuroimage Clin. 19, 106\u2013121 (2018).","journal-title":"Neuroimage Clin."},{"key":"484_CR41","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-642-34713-9_14","volume":"7263","author":"S Kinreich","year":"2012","unstructured":"Kinreich, S., Podlipsky, I., Intrator, N. & Hendler, T. Categorized EEG neurofeedback performance unveils simultaneous fMRI deep brain activation. Mach. Learn. Interpret. Neuroimaging 7263, 108\u2013115 (2012).","journal-title":"Mach. Learn. Interpret. Neuroimaging"},{"key":"484_CR42","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1037\/0033-295X.108.3.483","volume":"108","author":"A \u00d6hman","year":"2001","unstructured":"\u00d6hman, A. & Mineka, S. Fears, phobias, and preparedness: toward an evolved module of fear and fear learning. Psychol. Rev. 108, 483\u2013522 (2001).","journal-title":"Psychol. Rev."},{"key":"484_CR43","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1111\/j.1749-6632.2003.tb07093.x","volume":"985","author":"RJ Dolan","year":"2006","unstructured":"Dolan, R. J. & Vuilleumier, P. Amygdala automaticity in emotional processing. Ann. N. Y. Acad. Sci. 985, 348\u2013355 (2006).","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"484_CR44","doi-asserted-by":"publisher","first-page":"1680","DOI":"10.1073\/pnas.96.4.1680","volume":"96","author":"JS Morris","year":"1999","unstructured":"Morris, J. S., \u00d6hman, A. & Dolan, R. J. A subcortical pathway to the right amygdala mediating \u201cunseen\u201d fear. Proc. Natl Acad. Sci. USA 96, 1680\u20131685 (1999).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"484_CR45","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1023\/A:1025048802629","volume":"23","author":"J LeDoux","year":"2003","unstructured":"LeDoux, J. The emotional brain, fear, and the amygdala. Cell. Mol. Neurobiol. 23, 727\u2013738 (2003).","journal-title":"Cell. Mol. Neurobiol."},{"key":"484_CR46","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1038\/npp.2009.129","volume":"35","author":"SN Haber","year":"2010","unstructured":"Haber, S. N. & Knutson, B. The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology 35, 4\u201326 (2010).","journal-title":"Neuropsychopharmacology"},{"key":"484_CR47","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1038\/nrn3950","volume":"16","author":"LF Barrett","year":"2015","unstructured":"Barrett, L. F. & Simmons, W. K. Interoceptive predictions in the brain. Nat. Rev. Neurosci. 16, 419\u2013429 (2015).","journal-title":"Nat. Rev. Neurosci."},{"key":"484_CR48","doi-asserted-by":"publisher","unstructured":"Cavazza, M. et al. Towards emotional regulation through neurofeedback. In Proc. 5th Augmented Human International Conference (ed. Terada, T.) 1\u20138 (ACM, 2014); https:\/\/doi.org\/10.1145\/2582051.2582093","DOI":"10.1145\/2582051.2582093"},{"key":"484_CR49","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1126\/science.1212003","volume":"334","author":"K Shibata","year":"2011","unstructured":"Shibata, K., Watanabe, T., Sasaki, Y. & Kawato, M. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation. Science 334, 1413\u20131415 (2011).","journal-title":"Science"},{"key":"484_CR50","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/S0022-3999(02)00601-3","volume":"55","author":"GJ Taylor","year":"2003","unstructured":"Taylor, G. J., Bagby, R. M. & Parker, J. D. A. The 20-Item Toronto Alexithymia Scale: IV. Reliability and factorial validity in different languages and cultures. J. Psychosom. Res. 55, 277\u2013283 (2003).","journal-title":"J. Psychosom. Res."},{"key":"484_CR51","unstructured":"Teichman, Y. & Melnick, H. The Hebrew Manual for the State-Trait Anxiety Inventory (Ramot Press, Tel-Aviv University, Tel-Aviv, 1980)."},{"key":"484_CR52","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1006\/nimg.1998.0361","volume":"8","author":"PJ Allen","year":"1998","unstructured":"Allen, P. J., Polizzi, G., Krakow, K., Fish, D. R. & Lemieux, L. Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction. Neuroimage 8, 229\u2013239 (1998).","journal-title":"Neuroimage"},{"key":"484_CR53","doi-asserted-by":"publisher","first-page":"b2393","DOI":"10.1136\/bmj.b2393","volume":"338","author":"JAC Sterne","year":"2009","unstructured":"Sterne, J. A. C. et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 338, b2393 (2009).","journal-title":"BMJ"},{"key":"484_CR54","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1080\/00273171.2013.855890","volume":"49","author":"JR van Ginkel","year":"2014","unstructured":"van Ginkel, J. R. & Kroonenberg, P. M. Analysis of variance of multiply imputed data. Multivariate Behav. Res. 49, 78\u201391 (2014).","journal-title":"Multivariate Behav. Res."},{"key":"484_CR55","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.neuroimage.2015.07.003","volume":"120","author":"G Gilam","year":"2015","unstructured":"Gilam, G. et al. Neural substrates underlying the tendency to accept anger-infused ultimatum offers during dynamic social interactions. Neuroimage 120, 400\u2013411 (2015).","journal-title":"Neuroimage"}],"updated-by":[{"DOI":"10.1038\/s41562-019-0534-5","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T00:00:00Z","timestamp":1548633600000}}],"container-title":["Nature Human Behaviour"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41562-018-0484-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41562-018-0484-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41562-018-0484-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T04:15:44Z","timestamp":1671250544000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41562-018-0484-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,10]]},"references-count":55,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["484"],"URL":"https:\/\/doi.org\/10.1038\/s41562-018-0484-3","relation":{"correction":[{"id-type":"doi","id":"10.1038\/s41562-019-0534-5","asserted-by":"object"}]},"ISSN":["2397-3374"],"issn-type":[{"value":"2397-3374","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,10]]},"assertion":[{"value":"10 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2019","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The original and corrected Acknowledgements are shown in the accompanying Author Correction.","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"T.H., N.I. and Y.M.-H. are inventors of related patent applications entitled \u2018Method and system for use in monitoring neural activity in a subject\u2019s brain\u2019 (US20140148657 A1, WO2012104853 A3 and EP2670299 A2). This does not alter the authors\u2019 adherence to all <i>Nature Human Behaviour<\/i> policies.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}