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In this study, we attempted to identify regions of interest (ROIs) in which resting state (Rs) brain activity discriminated more from less resilient CP subgroups based on multiple kernel learning (MKL). More and less resilient community\u2010dwellers with chronic musculoskeletal pain (70 women, 39 men) engaged in structural and functional magnetic resonance imaging (MRI) scans, wherein MKL assessed Rs activity based on amplitude of low frequency fluctuations (ALFF), fractional amplitudes of low frequency fluctuations (fALFF), and regional homogeneity (ReHo) modalities to identify ROIs most salient for discriminating more versus less resilient subgroups. Compared to classification based on single modalities, multi\u2010modal classification based on combined fALFF and ReHo features achieved a substantially higher classification accuracy rate (79%). Brain regions with the best discriminative power included those implicated in pain processing, reward, executive function, goal\u2010directed action, emotion regulation and resilience to mood disorders though variation trends were not consistent between more and less resilient subgroups. Results revealed patterns of Rs activity that serve as possible biomarkers for resilience to chronic musculoskeletal pain.<\/jats:p>","DOI":"10.1111\/psyp.13921","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T13:31:05Z","timestamp":1628775065000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate pattern analysis"],"prefix":"10.1111","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3703-6571","authenticated-orcid":false,"given":"Beibei","family":"You","sequence":"first","affiliation":[{"name":"Key Laboratory of Cognition and Personality (Ministry of Education) Faculty of Psychology Southwest University Chongqing China"},{"name":"School of Nursing Guizhou Medical University Guizhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Wen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Cognition and Personality (Ministry of Education) Faculty of Psychology Southwest University Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Todd","family":"Jackson","sequence":"additional","affiliation":[{"name":"Department of Psychology University of Macau Taipa China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,8,12]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpain.2017.03.013"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4123-07.2008"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/13548506.2018.1549741"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1744-8069-6-27"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejpain.2005.06.009"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2017.04.010"},{"key":"e_1_2_6_8_1","first-page":"1","volume-title":"Year in cognitive neuroscience 2008","author":"Buckner R. 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