{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T23:56:35Z","timestamp":1769730995087,"version":"3.49.0"},"reference-count":24,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T00:00:00Z","timestamp":1608595200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","award":["the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (PPZY2015A003)"],"award-info":[{"award-number":["the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (PPZY2015A003)"]}],"id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012431","name":"Jiangsu Agricultural Science and Technology Independent Innovation Fund","doi-asserted-by":"publisher","award":["the Mentoring Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (2016): 2016SJD190004"],"award-info":[{"award-number":["the Mentoring Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (2016): 2016SJD190004"]}],"id":[{"id":"10.13039\/501100012431","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31271084"],"award-info":[{"award-number":["31271084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JUSRP11983"],"award-info":[{"award-number":["JUSRP11983"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Zhang, et al. (2017) established the ecological microexpression recognition test (EMERT), but it only used white models\u2019 expressions as microexpressions and backgrounds, and there was no research detecting its relevant brain activity. The current study used white, black and yellow models\u2019 expressions as microexpressions and backgrounds to improve the materials ecological validity of EMERT, and it used eyes-closed and eyes-open resting-state fMRI to detect relevant brain activity of EMERT for the first time. The results showed: (1) Two new recapitulative indexes of EMERT were adopted, such as microexpression <jats:italic>M<\/jats:italic> and microexpression <jats:italic>SD<\/jats:italic>. The participants could effectively identify almost all the microexpressions, and each microexpression type had a significantly background effect. The EMERT had good retest reliability and calibration validity. (2) ALFFs (Amplitude of Low-Frequency Fluctuations) in both eyes-closed and eyes-open resting-states and ALFFs-difference could predict microexpression <jats:italic>M<\/jats:italic>. The relevant brain areas of microexpression <jats:italic>M<\/jats:italic> were some frontal lobes, insula, cingulate cortex, hippocampus, parietal lobe, caudate nucleus, thalamus, amygdala, occipital lobe, fusiform, temporal lobe, cerebellum and vermis. (3) ALFFs in both eyes-closed and eyes-open resting-states and ALFFs-difference could predict microexpression <jats:italic>SD<\/jats:italic>, and the ALFFs-difference was more predictive. The relevant brain areas of microexpression <jats:italic>SD<\/jats:italic> were some frontal lobes, insula, cingulate cortex, cuneus, amygdala, fusiform, occipital lobe, parietal lobe, precuneus, caudate lobe, putamen lobe, thalamus, temporal lobe, cerebellum and vermis. (4) There were many similarities and some differences in the relevant brain areas between microexpression <jats:italic>M<\/jats:italic> and <jats:italic>SD<\/jats:italic>. All these brain areas can be trained to enhance ecological microexpression recognition ability.<\/jats:p>","DOI":"10.1371\/journal.pone.0241681","type":"journal-article","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T18:52:00Z","timestamp":1608663120000},"page":"e0241681","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["The relevant resting-state brain activity of ecological microexpression recognition test (EMERT)"],"prefix":"10.1371","volume":"15","author":[{"given":"Ming","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1280-1708","authenticated-orcid":true,"given":"Jianxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deming","family":"Shu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dianzhi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2020,12,22]]},"reference":[{"key":"pone.0241681.ref001","volume-title":"Unmasking the face:A guide to recognising theemotions from facial cues","author":"P. 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