{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T19:18:50Z","timestamp":1790882330356,"version":"4.1.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"DOI":"10.1038\/s41398-025-03424-1","type":"journal-article","created":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T15:27:27Z","timestamp":1761319647000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Shared cortical characteristics in major depressive disorder, anxiety disorder, and chronic pain: a structural MRI meta-analysis study"],"prefix":"10.1038","volume":"15","author":[{"given":"Wei","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8152-5068","authenticated-orcid":false,"given":"Yuan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyong","family":"Gong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3541-1769","authenticated-orcid":false,"given":"Su","family":"Lui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,24]]},"reference":[{"key":"3424_CR1","doi-asserted-by":"publisher","first-page":"2082","DOI":"10.1016\/S0140-6736(21)00393-7","volume":"397","author":"SP Cohen","year":"2021","unstructured":"Cohen SP, Vase L, Hooten WM. Chronic pain: an update on burden, best practices, and new advances. Lancet. 2021;397:2082\u201397.","journal-title":"Lancet"},{"key":"3424_CR2","doi-asserted-by":"publisher","first-page":"2003","DOI":"10.2147\/JPR.S138864","volume":"10","author":"W Raffaeli","year":"2017","unstructured":"Raffaeli W, Arnaudo E. Pain as a disease: an overview. J Pain Res. 2017;10:2003\u20138.","journal-title":"J Pain Res"},{"key":"3424_CR3","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/S2215-0366(16)30024-4","volume":"3","author":"D Chisholm","year":"2016","unstructured":"Chisholm D, Sweeny K, Sheehan P, Rasmussen B, Smit F, Cuijpers P, et al. Scaling-up treatment of depression and anxiety: a global return on investment analysis. Lancet Psychiatry. 2016;3:415\u201324.","journal-title":"Lancet Psychiatry"},{"key":"3424_CR4","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.15252\/embr.201642951","volume":"17","author":"S Trautmann","year":"2016","unstructured":"Trautmann S, Rehm J, Wittchen HU. The economic costs of mental disorders: Do our societies react appropriately to the burden of mental disorders? EMBO Rep. 2016;17:1245\u20139.","journal-title":"EMBO Rep"},{"key":"3424_CR5","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1016\/S0140-6736(18)32279-7","volume":"392","author":"GBD 2017 Disease and Injury Incidence and Prevalence Collaborators.","year":"2018","unstructured":"GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1789\u2013858.","journal-title":"Lancet"},{"key":"3424_CR6","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1177\/0098628316662768","volume":"43","author":"GM Slavich","year":"2016","unstructured":"Slavich GM. Life stress and health: a review of conceptual issues and recent findings. Teach Psychol. 2016;43:346\u201355.","journal-title":"Teach Psychol"},{"key":"3424_CR7","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1016\/j.bja.2023.03.008","volume":"130","author":"G Antoniou","year":"2023","unstructured":"Antoniou G, Lambourg E, Steele JD, Colvin LA. The effect of adverse childhood experiences on chronic pain and major depression in adulthood: a systematic review and meta-analysis. Br J Anaesth. 2023;130:729\u201346.","journal-title":"Br J Anaesth"},{"key":"3424_CR8","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1517\/14728222.2014.855720","volume":"18","author":"K Chopra","year":"2014","unstructured":"Chopra K, Arora V. An intricate relationship between pain and depression: clinical correlates, coactivation factors and therapeutic targets. Expert Opin Ther Targets. 2014;18:159\u201376.","journal-title":"Expert Opin Ther Targets"},{"key":"3424_CR9","doi-asserted-by":"publisher","first-page":"1640","DOI":"10.1111\/bph.15584","volume":"179","author":"LF Kimura","year":"2022","unstructured":"Kimura LF, Novaes LS, Picolo G, Munhoz CD, Cheung CW, Camarini R. How environmental enrichment balances out neuroinflammation in chronic pain and comorbid depression and anxiety disorders. Br J Pharmacol. 2022;179:1640\u201360.","journal-title":"Br J Pharmacol"},{"key":"3424_CR10","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.jpain.2015.06.004","volume":"16","author":"MH Chang","year":"2015","unstructured":"Chang MH, Hsu JW, Huang KL, Su TP, Bai YM, Li CT, et al. Bidirectional association between depression and fibromyalgia syndrome: a nationwide longitudinal study. J Pain. 2015;16:895\u2013902.","journal-title":"J Pain"},{"key":"3424_CR11","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.biopsych.2019.10.018","volume":"87","author":"RA Serafini","year":"2020","unstructured":"Serafini RA, Pryce KD, Zachariou V. The mesolimbic dopamine system in chronic pain and associated affective comorbidities. Biol Psychiatry. 2020;87:64\u201373.","journal-title":"Biol Psychiatry"},{"key":"3424_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s00441-019-03003-z","volume":"377","author":"M Humo","year":"2019","unstructured":"Humo M, Lu H, Yalcin I. The molecular neurobiology of chronic pain-induced depression. Cell Tissue Res. 2019;377:21\u201343.","journal-title":"Cell Tissue Res"},{"key":"3424_CR13","doi-asserted-by":"publisher","first-page":"e10","DOI":"10.1097\/j.pain.0000000000002681","volume":"164","author":"AT Henn","year":"2023","unstructured":"Henn AT, Larsen B, Frahm L, Xu A, Adebimpe A, Scott JC, et al. Structural imaging studies of patients with chronic pain: an anatomical likelihood estimate meta-analysis. Pain. 2023;164:e10\u2013e24.","journal-title":"Pain"},{"key":"3424_CR14","first-page":"1","volume":"25","author":"Z Wang","year":"2022","unstructured":"Wang Z, Yuan M, Xiao J, Chen L, Guo X, Dou Y, et al. Gray matter abnormalities in patients with chronic primary pain: a coordinate-based meta-analysis. Pain Physician. 2022;25:1\u201313.","journal-title":"Pain Physician"},{"key":"3424_CR15","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1038\/s41386-022-01271-y","volume":"47","author":"F Brandl","year":"2022","unstructured":"Brandl F, Weise B, Mulej Bratec S, Jassim N, Hoffmann Ayala D, Bertram T, et al. Common and specific large-scale brain changes in major depressive disorder, anxiety disorders, and chronic pain: a transdiagnostic multimodal meta-analysis of structural and functional MRI studies. Neuropsychopharmacology. 2022;47:1071\u201380.","journal-title":"Neuropsychopharmacology"},{"key":"3424_CR16","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1093\/cercor\/bhs379","volume":"24","author":"AM Fjell","year":"2014","unstructured":"Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, et al. Accelerating cortical thinning: unique to dementia or universal in aging? Cereb Cortex. 2014;24:919\u201334.","journal-title":"Cereb Cortex"},{"key":"3424_CR17","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1016\/j.neuroimage.2009.12.028","volume":"53","author":"AM Winkler","year":"2010","unstructured":"Winkler AM, Kochunov P, Blangero J, Almasy L, Zilles K, Fox PT, et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. Neuroimage. 2010;53:1135\u201346.","journal-title":"Neuroimage"},{"key":"3424_CR18","doi-asserted-by":"publisher","first-page":"111423","DOI":"10.1016\/j.pscychresns.2021.111423","volume":"319","author":"M Sobral","year":"2022","unstructured":"Sobral M, Morgado S, Moreira H, Guiomar R, Ganho-\u00c1vila A. Association between cortical thickness and anxiety measures: a scoping review. Psychiatry Res Neuroimaging. 2022;319:111423.","journal-title":"Psychiatry Res Neuroimaging"},{"key":"3424_CR19","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1038\/s41386-019-0563-9","volume":"45","author":"Q Li","year":"2020","unstructured":"Li Q, Zhao Y, Chen Z, Long J, Dai J, Huang X, et al. Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology. 2020;45:703\u201312.","journal-title":"Neuropsychopharmacology"},{"key":"3424_CR20","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.jpsychires.2021.07.022","volume":"142","author":"L Sindermann","year":"2021","unstructured":"Sindermann L, Redlich R, Opel N, B\u00f6hnlein J, Dannlowski U, Leehr EJ. Systematic transdiagnostic review of magnetic-resonance imaging results: depression, anxiety disorders and their co-occurrence. J Psychiatr Res. 2021;142:226\u201339.","journal-title":"J Psychiatr Res"},{"key":"3424_CR21","doi-asserted-by":"publisher","first-page":"e1000097","DOI":"10.1371\/journal.pmed.1000097","volume":"6","author":"D Moher","year":"2009","unstructured":"Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.","journal-title":"PLoS Med"},{"key":"3424_CR22","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.neuroimage.2018.10.077","volume":"186","author":"A Albajes-Eizagirre","year":"2019","unstructured":"Albajes-Eizagirre A, Solanes A, Vieta E, Radua J. Voxel-based meta-analysis via permutation of subject images (PSI): theory and implementation for SDM. Neuroimage. 2019;186:174\u201384.","journal-title":"Neuroimage"},{"key":"3424_CR23","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-022-02157-9","volume":"12","author":"X Liu","year":"2022","unstructured":"Liu X, Klugah-Brown B, Zhang R, Chen H, Zhang J, Becker B. Pathological fear, anxiety and negative affect exhibit distinct neurostructural signatures: evidence from psychiatric neuroimaging meta-analysis. Transl Psychiatry. 2022;12:405.","journal-title":"Transl Psychiatry"},{"key":"3424_CR24","doi-asserted-by":"publisher","first-page":"e12997","DOI":"10.1111\/adb.12997","volume":"26","author":"B Klugah-Brown","year":"2021","unstructured":"Klugah-Brown B, Zhou X, Pradhan BK, Zweerings J, Mathiak K, Biswal B, et al. Common neurofunctional dysregulations characterize obsessive-compulsive, substance use, and gaming disorders-An activation likelihood meta-analysis of functional imaging studies. Addict Biol. 2021;26:e12997.","journal-title":"Addict Biol"},{"key":"3424_CR25","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3389\/fpsyt.2014.00013","volume":"5","author":"J Radua","year":"2014","unstructured":"Radua J, Rubia K, Canales-Rodr\u00edguez EJ. Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies. Front Psychiatry. 2014;5:13.","journal-title":"Front Psychiatry"},{"key":"3424_CR26","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1192\/bjp.bp.108.055046","volume":"195","author":"J Radua","year":"2009","unstructured":"Radua J, Mataix-Cols D. Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. Br J Psychiatry. 2009;195:393\u2013402.","journal-title":"Br J Psychiatry"},{"key":"3424_CR27","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1016\/j.eurpsy.2011.04.001","volume":"27","author":"J Radua","year":"2012","unstructured":"Radua J, Mataix-Cols D, Phillips ML, El-Hage W, Kronhaus DM, Cardoner N, et al. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Eur Psychiatry. 2012;27:605\u201311.","journal-title":"Eur Psychiatry"},{"key":"3424_CR28","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1038\/npp.2014.5","volume":"39","author":"J Radua","year":"2014","unstructured":"Radua J, Grau M, van den Heuvel OA, Thiebaut de Schotten M, Stein DJ, Canales-Rodr\u00edguez EJ, et al. Multimodal voxel-based meta-analysis of white matter abnormalities in obsessive-compulsive disorder. Neuropsychopharmacology. 2014;39:1547\u201357.","journal-title":"Neuropsychopharmacology"},{"key":"3424_CR29","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1097\/01.aco.0000433060.59939.fe","volume":"26","author":"K Fomberstein","year":"2013","unstructured":"Fomberstein K, Qadri S, Ramani R. Functional MRI and pain. Curr Opin Anaesthesiol. 2013;26:588\u201393.","journal-title":"Curr Opin Anaesthesiol"},{"key":"3424_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00221-010-2340-1","volume":"205","author":"GD Iannetti","year":"2010","unstructured":"Iannetti GD, Mouraux A. From the neuromatrix to the pain matrix (and back). Exp Brain Res. 2010;205:1\u201312.","journal-title":"Exp Brain Res"},{"key":"3424_CR31","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1038\/npp.2015.336","volume":"41","author":"C Walter","year":"2016","unstructured":"Walter C, Oertel BG, Felden L, Kell CA, N\u00f6th U, Vermehren J, et al. Brain mapping-based model of \u0394(9)-Tetrahydrocannabinol effects on connectivity in the pain matrix. Neuropsychopharmacology. 2016;41:1659\u201369.","journal-title":"Neuropsychopharmacology"},{"key":"3424_CR32","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1002\/hbm.23132","volume":"37","author":"M Dehghan","year":"2016","unstructured":"Dehghan M, Schmidt-Wilcke T, Pfleiderer B, Eickhoff SB, Petzke F, Harris RE, et al. Coordinate-based (ALE) meta-analysis of brain activation in patients with fibromyalgia. Hum Brain Mapp. 2016;37:1749\u201358.","journal-title":"Hum Brain Mapp"},{"key":"3424_CR33","doi-asserted-by":"publisher","first-page":"330","DOI":"10.3389\/fpsyg.2011.00330","volume":"2","author":"M Tops","year":"2011","unstructured":"Tops M, Boksem MA. A potential role of the inferior frontal gyrus and anterior insula in cognitive control, brain rhythms, and event-related potentials. Front Psychol. 2011;2:330.","journal-title":"Front Psychol"},{"key":"3424_CR34","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.neubiorev.2015.07.014","volume":"56","author":"PC Mulders","year":"2015","unstructured":"Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I. Resting-state functional connectivity in major depressive disorder: a review. Neurosci Biobehav Rev. 2015;56:330\u201344.","journal-title":"Neurosci Biobehav Rev"},{"key":"3424_CR35","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1177\/070674371405900602","volume":"59","author":"A Peterson","year":"2014","unstructured":"Peterson A, Thome J, Frewen P, Lanius RA. Resting-state neuroimaging studies: a new way of identifying differences and similarities among the anxiety disorders? Can J Psychiatry. 2014;59:294\u2013300.","journal-title":"Can J Psychiatry"},{"key":"3424_CR36","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.jad.2007.07.030","volume":"107","author":"JC Wu","year":"2008","unstructured":"Wu JC, Gillin JC, Buchsbaum MS, Schachat C, Darnall LA, Keator DB, et al. Sleep deprivation PET correlations of Hamilton symptom improvement ratings with changes in relative glucose metabolism in patients with depression. J Affect Disord. 2008;107:181\u20136.","journal-title":"J Affect Disord"},{"key":"3424_CR37","doi-asserted-by":"publisher","first-page":"103168","DOI":"10.1016\/j.nicl.2022.103168","volume":"36","author":"L Liu","year":"2022","unstructured":"Liu L, Lyu TL, Fu MY, Wang LP, Chen Y, Hong JH, et al. Changes in brain connectivity linked to multisensory processing of pain modulation in migraine with acupuncture treatment. Neuroimage Clin. 2022;36:103168.","journal-title":"Neuroimage Clin"},{"key":"3424_CR38","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1007\/s11682-022-00628-7","volume":"16","author":"Z Zhu","year":"2022","unstructured":"Zhu Z, Wang Y, Lau WKW, Wei X, Liu Y, Huang R, et al. Hyperconnectivity between the posterior cingulate and middle frontal and temporal gyrus in depression: Based on functional connectivity meta-analyses. Brain Imaging Behav. 2022;16:1538\u201351.","journal-title":"Brain Imaging Behav"},{"key":"3424_CR39","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.jad.2017.01.043","volume":"214","author":"JY Yun","year":"2017","unstructured":"Yun JY, Kim JC, Ku J, Shin JE, Kim JJ, Choi SH, et al. The left middle temporal gyrus in the middle of an impaired social-affective communication network in social anxiety disorder. J Affect Disord. 2017;214:53\u201359.","journal-title":"J Affect Disord"},{"key":"3424_CR40","doi-asserted-by":"publisher","first-page":"10046","DOI":"10.1073\/pnas.0604187103","volume":"103","author":"MD Fox","year":"2006","unstructured":"Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME, et al. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci USA. 2006;103:10046\u201351.","journal-title":"Proc Natl Acad Sci USA"},{"key":"3424_CR41","doi-asserted-by":"publisher","first-page":"964","DOI":"10.1111\/j.1469-7610.2012.02552.x","volume":"53","author":"MS Gaffrey","year":"2012","unstructured":"Gaffrey MS, Luby JL, Botteron K, Repov\u0161 G, Barch DM. Default mode network connectivity in children with a history of preschool onset depression. J Child Psychol Psychiatry. 2012;53:964\u201372.","journal-title":"J Child Psychol Psychiatry"},{"key":"3424_CR42","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1038\/nrn755","volume":"3","author":"M Corbetta","year":"2002","unstructured":"Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002;3:201\u201315.","journal-title":"Nat Rev Neurosci"},{"key":"3424_CR43","doi-asserted-by":"publisher","first-page":"1056868","DOI":"10.3389\/fnins.2022.1056868","volume":"16","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Li X, Yan H, Wang Y, Ou Y, Yu Y, et al. Associations between abnormal spontaneous neural activity and clinical variables, eye movements, and event-related potential indicators in major depressive disorder. Front Neurosci. 2022;16:1056868.","journal-title":"Front Neurosci"},{"key":"3424_CR44","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1177\/1073858412440596","volume":"19","author":"ML Seghier","year":"2013","unstructured":"Seghier ML. The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist. 2013;19:43\u201361.","journal-title":"Neuroscientist"},{"key":"3424_CR45","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1177\/1073858411403316","volume":"18","author":"JR Andrews-Hanna","year":"2012","unstructured":"Andrews-Hanna JR. The brain\u2019s default network and its adaptive role in internal mentation. Neuroscientist. 2012;18:251\u201370.","journal-title":"Neuroscientist"},{"key":"3424_CR46","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.jad.2023.04.099","volume":"334","author":"M Yuan","year":"2023","unstructured":"Yuan M, Liu B, Yang B, Dang W, Xie H, Lui S, et al. Dysfunction of default mode network characterizes generalized anxiety disorder relative to social anxiety disorder and post-traumatic stress disorder. J Affect Disord. 2023;334:35\u201342.","journal-title":"J Affect Disord"},{"key":"3424_CR47","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.jad.2023.03.062","volume":"332","author":"S Fan","year":"2023","unstructured":"Fan S, Yu Y, Wu Y, Kai Y, Wang H, Chen Y, et al. Altered brain entropy and functional connectivity patterns in generalized anxiety disorder patients. J Affect Disord. 2023;332:168\u201375.","journal-title":"J Affect Disord"},{"key":"3424_CR48","doi-asserted-by":"publisher","first-page":"646538","DOI":"10.3389\/fnins.2021.646538","volume":"15","author":"Z Tian","year":"2021","unstructured":"Tian Z, Yin T, Xiao Q, Dong X, Yang Y, Wang M, et al. The altered functional connectivity with pain features integration and interaction in migraine without aura. Front Neurosci. 2021;15:646538.","journal-title":"Front Neurosci"},{"key":"3424_CR49","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-51990-4","volume":"9","author":"V Pando-Naude","year":"2019","unstructured":"Pando-Naude V, Barrios FA, Alcauter S, Pasaye EH, Vase L, Brattico E, et al. Functional connectivity of music-induced analgesia in fibromyalgia. Sci Rep. 2019;9:15486.","journal-title":"Sci Rep"},{"key":"3424_CR50","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.3389\/fpsyg.2015.01051","volume":"6","author":"EA Garza-Villarreal","year":"2015","unstructured":"Garza-Villarreal EA, Jiang Z, Vuust P, Alcauter S, Vase L, Pasaye EH, et al. Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients. Front Psychol. 2015;6:1051.","journal-title":"Front Psychol"},{"key":"3424_CR51","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1016\/j.biopsych.2024.01.003","volume":"95","author":"X Zhang","year":"2024","unstructured":"Zhang X, Xu R, Ma H, Qian Y, Zhu J. Brain structural and functional damage network localization of suicide. Biol Psychiatry. 2024;95:1091\u20139.","journal-title":"Biol Psychiatry"},{"key":"3424_CR52","doi-asserted-by":"publisher","first-page":"1326","DOI":"10.1093\/schbul\/sbae020","volume":"50","author":"F Mo","year":"2024","unstructured":"Mo F, Zhao H, Li Y, Cai H, Song Y, Wang R, et al. Network localization of state and trait of auditory verbal hallucinations in schizophrenia. Schizophr Bull. 2024;50:1326\u201336.","journal-title":"Schizophr Bull"},{"key":"3424_CR53","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.biopsych.2024.07.021","volume":"97","author":"Y Cheng","year":"2025","unstructured":"Cheng Y, Cai H, Liu S, Yang Y, Pan S, Zhang Y, et al. Brain network localization of gray matter atrophy and neurocognitive and social cognitive dysfunction in schizophrenia. Biol Psychiatry. 2025;97:148\u201356.","journal-title":"Biol Psychiatry"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-025-03424-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-025-03424-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-025-03424-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T16:02:46Z","timestamp":1761321766000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-025-03424-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,24]]},"references-count":53,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["3424"],"URL":"https:\/\/doi.org\/10.1038\/s41398-025-03424-1","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,24]]},"assertion":[{"value":"8 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 April 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2025","order":4,"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":"430"}}