{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T09:39:50Z","timestamp":1792143590023,"version":"4.4.0"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"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":["Mol Psychiatry"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1038\/s41380-025-03102-0","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T08:47:16Z","timestamp":1752137236000},"page":"5177-5191","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Alterations in miR-151a-3p of plasma-derived exosomes and associated multimodal neuroimaging patterns in major depressive disorder"],"prefix":"10.1038","volume":"30","author":[{"given":"Wenjia","family":"Liang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lanwei","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenxi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuoran","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2601-7818","authenticated-orcid":false,"given":"Wenjuan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9475-6914","authenticated-orcid":false,"given":"Lejin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6889-4616","authenticated-orcid":false,"given":"Shuwei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,9]]},"reference":[{"key":"3102_CR1","unstructured":"WHO. Depression. 2020. https:\/\/www.who.int\/health-topics\/depression#tab=tab_1."},{"key":"3102_CR2","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/S2215-0366(21)00395-3","volume":"9","author":"GBD 2019 Mental Disorders Collaborators","year":"2022","unstructured":"GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990\u20132019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9:137\u201350.","journal-title":"Lancet Psychiatry"},{"key":"3102_CR3","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/S0140-6736(19)30934-1","volume":"394","author":"F Charlson","year":"2019","unstructured":"Charlson F, van Ommeren M, Flaxman A, Cornett J, Whiteford H, Saxena S. New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis. Lancet. 2019;394:240\u20138.","journal-title":"Lancet"},{"key":"3102_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5498\/wjp.v11.i1.1","volume":"11","author":"D Stoyanov","year":"2021","unstructured":"Stoyanov D, Maes MH. How to construct neuroscience-informed psychiatric classification? Towards nomothetic networks psychiatry. World J Psychiatry. 2021;11:1\u201312.","journal-title":"World J Psychiatry"},{"key":"3102_CR5","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1007\/s12640-019-00139-2","volume":"37","author":"D Stoyanov","year":"2020","unstructured":"Stoyanov D. The reification of diagnosis in psychiatry. Neurotox Res. 2020;37:772\u20134.","journal-title":"Neurotox Res"},{"key":"3102_CR6","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/S0896-6273(02)00653-0","volume":"34","author":"EJ Nestler","year":"2002","unstructured":"Nestler EJ, Barrot M, Dileone RJ, Eisch AJ, Gold SJ, Monteggia LM. Neurobiology of depression. Neuron. 2002;34:13\u201325.","journal-title":"Neuron"},{"key":"3102_CR7","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1002\/wps.20050","volume":"12","author":"DA Regier","year":"2013","unstructured":"Regier DA, Kuhl EA, Kupfer DJ. The DSM-5: classification and criteria changes. World Psychiatry. 2013;12:92\u20138.","journal-title":"World Psychiatry"},{"key":"3102_CR8","doi-asserted-by":"publisher","first-page":"2927","DOI":"10.1007\/s12035-015-9183-5","volume":"53","author":"M Maes","year":"2016","unstructured":"Maes M, Nowak G, Caso JR, Leza JC, Song C, Kubera M, et al. Toward omics-based, systems biomedicine, and path and drug discovery methodologies for depression-inflammation research. Mol Neurobiol. 2016;53:2927\u201335.","journal-title":"Mol Neurobiol"},{"key":"3102_CR9","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1176\/appi.ajp.20230206","volume":"181","author":"MG Poirot","year":"2024","unstructured":"Poirot MG, Ruhe HG, Mutsaerts HMM, Maximov II, Groote IR, Bj\u00f8rnerud A, et al. Treatment response prediction in major depressive disorder using multimodal MRI and clinical data: secondary analysis of a randomized clinical trial. Am J Psychiatry. 2024;181:223\u201333.","journal-title":"Am J Psychiatry"},{"key":"3102_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120265","volume":"277","author":"J Li","year":"2023","unstructured":"Li J, Wang R, Mao N, Huang M, Qiu S, Wang J. NeuroImage multimodal and multiscale evidence for network-based cortical thinning in major depressive disorder. Neuroimage. 2023;277:120265.","journal-title":"Neuroimage"},{"key":"3102_CR11","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.1038\/s41380-022-01519-5","volume":"27","author":"M Xia","year":"2022","unstructured":"Xia M, Liu J, Mechelli A, Sun X, Ma Q, Wang X, et al. Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes. Mol Psychiatry. 2022;27:1384\u201393.","journal-title":"Mol Psychiatry"},{"key":"3102_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120499","volume":"285","author":"E Zhou","year":"2024","unstructured":"Zhou E, Wang W, Ma S, Xie X, Kang L, Xu S, et al. Prediction of anxious depression using multimodal neuroimaging and machine learning. Neuroimage. 2024;285:120499.","journal-title":"Neuroimage"},{"key":"3102_CR13","doi-asserted-by":"publisher","first-page":"2058","DOI":"10.1038\/s41386-020-0785-x","volume":"45","author":"A Scalabrini","year":"2020","unstructured":"Scalabrini A, Vai B, Poletti S, Benedetti F, Northoff G. All roads lead to the default-mode network \u2014 global source of DMN abnormalities in major depressive disorder. Neuropsychopharmacology. 2020;45:2058\u201369.","journal-title":"Neuropsychopharmacology"},{"key":"3102_CR14","doi-asserted-by":"publisher","first-page":"8582","DOI":"10.1073\/pnas.1900801116","volume":"116","author":"M Yu","year":"2019","unstructured":"Yu M, Linn KA, Shinohara RT, Oathes DJ, Cook PA, Duprat R. Childhood trauma history is linked to abnormal brain connectivity in major depression. Proc Natl Acad Sci USA. 2019;116:8582\u201390.","journal-title":"Proc Natl Acad Sci USA"},{"key":"3102_CR15","doi-asserted-by":"publisher","first-page":"9078","DOI":"10.1073\/pnas.1900390116","volume":"116","author":"C Yan","year":"2019","unstructured":"Yan C, Chen X, Li L, Xavier F, Bai T, Bo Q, et al. Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. Proc Natl Acad Sci USA. 2019;116:9078\u201383.","journal-title":"Proc Natl Acad Sci USA"},{"key":"3102_CR16","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1016\/j.tics.2023.05.006","volume":"27","author":"Y Chai","year":"2023","unstructured":"Chai Y, Sheline YI, Oathes DJ, Balderston NL, Rao H, Yu M. Functional connectomics in depression: insights into therapies. Trends Cogn Sci. 2023;27:814\u201332.","journal-title":"Trends Cogn Sci"},{"key":"3102_CR17","doi-asserted-by":"publisher","first-page":"949","DOI":"10.2174\/1568026621666210521144534","volume":"21","author":"A Todeva-radneva","year":"2021","unstructured":"Todeva-radneva A, Aryutova K, Kandilarova S, Paunova R, Stoyanov D. The translational potential of non-coding RNAs and multimodal MRI Da- ta sets as diagnostic and differential diagnostic biomarkers for mood dis- orders. Curr Top Med Chem. 2021;21:949\u201363.","journal-title":"Curr Top Med Chem"},{"key":"3102_CR18","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1101\/gr.082701.108","volume":"19","author":"RC Friedman","year":"2009","unstructured":"Friedman RC, Farh KKH, Burge CB, Bartel DP. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009;19:92\u2013105.","journal-title":"Genome Res"},{"key":"3102_CR19","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1038\/nrg2843","volume":"11","author":"J Krol","year":"2010","unstructured":"Krol J, Loedige I, Filipowicz W. The widespread regulation of microRNA biogenesis, function and decay. Nat Rev Genet. 2010;11:597\u2013610.","journal-title":"Nat Rev Genet"},{"key":"3102_CR20","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1038\/nm.3582","volume":"20","author":"JP Lopez","year":"2014","unstructured":"Lopez JP, Lim R, Cruceanu C, Crapper L, Fasano C, Labonte B, et al. MiR-1202 is a primate-specific and brain-enriched microRNA involved in major depression and antidepressant treatment. Nat Med. 2014;20:764\u20138.","journal-title":"Nat Med"},{"key":"3102_CR21","doi-asserted-by":"publisher","first-page":"4191","DOI":"10.1038\/s41380-020-00953-7","volume":"26","author":"LM Fiori","year":"2021","unstructured":"Fiori LM, Kos A, Lin R, Th\u00e9roux JF, Lopez JP, K\u00fchne C, et al. miR-323a regulates ERBB4 and is involved in depression. Mol Psychiatry. 2021;26:4191\u2013204.","journal-title":"Mol Psychiatry"},{"key":"3102_CR22","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1093\/ijnp\/pyz071","volume":"23","author":"B Roy","year":"2020","unstructured":"Roy B, Dunbar M, Agrawal J, Allen L, Dwivedi Y. Amygdala-based altered mirnome and epigenetic contribution of mir-128-3p in conferring susceptibility to depression-like behavior via wnt signaling. Int J Neuropsychopharmacol. 2020;23:165\u201377.","journal-title":"Int J Neuropsychopharmacol"},{"key":"3102_CR23","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.jpsychires.2015.07.023","volume":"69","author":"MA Camkurt","year":"2015","unstructured":"Camkurt MA, Acar \u015e, Co\u015fkun S, G\u00fcne\u015f M, G\u00fcne\u015f S, Y\u0131lmaz MF, et al. Comparison of plasma MicroRNA levels in drug naive, first episode depressed patients and healthy controls. J Psychiatr Res. 2015;69:67\u201371.","journal-title":"J Psychiatr Res"},{"key":"3102_CR24","doi-asserted-by":"publisher","first-page":"4536","DOI":"10.1038\/s41380-022-01712-6","volume":"27","author":"YY van der Zee","year":"2022","unstructured":"van der Zee YY, Eijssen LMT, Mews P, Ramakrishnan A, Alvarez K, Lardner CK, et al. Blood miR-144-3p: a novel diagnostic and therapeutic tool for depression. Mol Psychiatry. 2022;27:4536\u201349.","journal-title":"Mol Psychiatry"},{"key":"3102_CR25","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1002\/bies.201100076","volume":"33","author":"S Lakhal","year":"2011","unstructured":"Lakhal S, Wood MJA. Exosome nanotechnology: an emerging paradigm shift in drug delivery: exploitation of exosome nanovesicles for systemic in vivo delivery of RNAi heralds new horizons for drug delivery across biological barriers. BioEssays. 2011;33:737\u201341.","journal-title":"BioEssays"},{"key":"3102_CR26","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1080\/1061186X.2016.1184272","volume":"25","author":"X Li","year":"2017","unstructured":"Li X, Tsibouklis J, Weng T, Zhang B, Yin G, Feng G, et al. Nano carriers for drug transport across the blood\u2013brain barrier. J Drug Target. 2017;25:17\u201328.","journal-title":"J Drug Target"},{"key":"3102_CR27","doi-asserted-by":"publisher","first-page":"6253","DOI":"10.1017\/S0033291722003567","volume":"53","author":"Y Deng","year":"2023","unstructured":"Deng Y, Gong P, Han S, Zhang J, Zhang S, Zhang B, et al. Reduced cerebral cortex thickness is related to overexpression of exosomal miR-146a-5p in medication-free patients with major depressive disorder. Psychol Med. 2023;53:6253\u201360.","journal-title":"Psychol Med"},{"key":"3102_CR28","doi-asserted-by":"publisher","first-page":"1050","DOI":"10.1038\/s41386-020-0622-2","volume":"45","author":"Z Wei","year":"2020","unstructured":"Wei Z, Xie G, Mao X, Zou X, Liao Y, Liu Q, et al. Exosomes from patients with major depression cause depressive-like behaviors in mice with involvement of miR-139-5p-regulated neurogenesis. Neuropsychopharmacology. 2020;45:1050\u20138.","journal-title":"Neuropsychopharmacology"},{"key":"3102_CR29","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.1016\/j.ymthe.2021.11.006","volume":"30","author":"C Fan","year":"2022","unstructured":"Fan C, Li Y, Lan T, Wang W, Long Y, Yu SY. Microglia secrete miR-146a-5p-containing exosomes to regulate neurogenesis in depression. Mol Ther. 2022;30:1300\u201314.","journal-title":"Mol Ther"},{"key":"3102_CR30","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.nbd.2014.06.006","volume":"70","author":"C Fuchs","year":"2014","unstructured":"Fuchs C, Trazzi S, Torricella R, Viggiano R, De Franceschi M, Amendola E, et al. Neurobiology of disease loss of CDKL5 impairs survival and dendritic growth of newborn neurons by altering AKT \/ GSK-3 \u03b2 signaling. Neurobiol Dis. 2014;70:53\u201368.","journal-title":"Neurobiol Dis"},{"key":"3102_CR31","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-023-02326-4","volume":"13","author":"J Honorato-Mauer","year":"2023","unstructured":"Honorato-Mauer J, Xavier G, Ota VK, Chehimi SN, Mafra F, Cu\u00f3co C, et al. Alterations in microRNA of extracellular vesicles associated with major depression, attention-deficit\/hyperactivity and anxiety disorders in adolescents. Transl Psychiatry. 2023;13:47.","journal-title":"Transl Psychiatry"},{"key":"3102_CR32","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1093\/brain\/awx366","volume":"141","author":"S Qi","year":"2018","unstructured":"Qi S, Yang X, Zhao L, Calhoun VD, Perrone-Bizzozero N, Liu S, et al. MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder. Brain. 2018;141:916\u201326.","journal-title":"Brain"},{"key":"3102_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2023.115551","volume":"329","author":"J Lou","year":"2023","unstructured":"Lou J, Liu K, Wen J, He Y, Sun Y, Tian X, et al. Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques. Psychiatry Res. 2023;329:115551.","journal-title":"Psychiatry Res"},{"key":"3102_CR34","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1109\/TMI.2017.2725306","volume":"37","author":"S Qi","year":"2018","unstructured":"Qi S, Calhoun VD, Van Erp TGM, Bustillo J, Damaraju E, Turner JA, et al. Multimodal fusion with reference: searching for joint neuromarkers of working memory deficits in schizophrenia. IEEE Trans Med Imaging. 2018;37:93\u2013105.","journal-title":"IEEE Trans Med Imaging"},{"key":"3102_CR35","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1038\/s41591-020-0793-8","volume":"26","author":"A Li","year":"2020","unstructured":"Li A, Zalesky A, Yue W, Howes O, Yan H, Liu Y, et al. A neuroimaging biomarker for striatal dysfunction in schizophrenia. Nat Med. 2020;26:558\u201365.","journal-title":"Nat Med"},{"key":"3102_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116189","volume":"206","author":"ET Rolls","year":"2020","unstructured":"Rolls ET, Huang CC, Lin CP, Feng J, Joliot M. Automated anatomical labelling atlas 3. Neuroimage. 2020;206:116189.","journal-title":"Neuroimage"},{"key":"3102_CR37","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1001\/jamapsychiatry.2020.3285","volume":"78","author":"AK Davis","year":"2021","unstructured":"Davis AK, Barrett FS, May DG, Cosimano MP, Sepeda ND, Johnson MW, et al. Effects of psilocybin-assisted therapy on major depressive disorder: a randomized clinical trial. JAMA Psychiatry. 2021;78:481\u20139.","journal-title":"JAMA Psychiatry"},{"key":"3102_CR38","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.tins.2020.03.007","volume":"43","author":"S van Heukelum","year":"2020","unstructured":"Heukelum, van S, Mars RB, Guthrie M, Buitelaar JK, Beckmann CF, et al. Where is cingulate cortex? A cross-species view. Trends Neurosci. 2020;43:285\u201399.","journal-title":"Trends Neurosci"},{"key":"3102_CR39","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s00429-012-0493-3","volume":"219","author":"BA Vogt","year":"2014","unstructured":"Vogt BA, Paxinos G. Cytoarchitecture of mouse and rat cingulate cortex with human homologies. Brain Struct Funct. 2014;219:185\u201392.","journal-title":"Brain Struct Funct"},{"key":"3102_CR40","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/2045-8118-10-4","volume":"10","author":"AS Haqqani","year":"2013","unstructured":"Haqqani AS, Delaney CE, Tremblay TL, Sodja C, Sandhu JK, Stanimirovic DB. Method for isolation and molecular characterization of extracellular microvesicles released from brain endothelial cells. Fluids Barriers CNS. 2013;10:4.","journal-title":"Fluids Barriers CNS"},{"key":"3102_CR41","doi-asserted-by":"publisher","first-page":"10513","DOI":"10.1073\/pnas.0804549105","volume":"105","author":"PS Mitchell","year":"2008","unstructured":"Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA. 2008;105:10513\u20138.","journal-title":"Proc Natl Acad Sci USA"},{"key":"3102_CR42","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1038\/cmi.2017.82","volume":"15","author":"X Liu","year":"2018","unstructured":"Liu X, Su X, Xu S, Wang H, Han D, Li J, et al. MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production. Cell Mol Immunol. 2018;15:99\u2013110.","journal-title":"Cell Mol Immunol"},{"key":"3102_CR43","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.2217\/pgs.12.93","volume":"13","author":"K Oved","year":"2012","unstructured":"Oved K, Morag A, Pasmanik-Chor M, Oron-Karni V, Shomron N, Rehavi M, et al. Genome-wide miRNA expression profiling of human lymphoblastoid cell lines identifies tentative SSRI antidepressant response biomarkers. Pharmacogenomics. 2012;13:1129\u201339.","journal-title":"Pharmacogenomics"},{"key":"3102_CR44","doi-asserted-by":"publisher","first-page":"549","DOI":"10.4306\/pi.2016.13.5.549","volume":"13","author":"VR Enatescu","year":"2016","unstructured":"Enatescu VR, Papava I, Enatescu I, Antonescu M, Anghel A, Seclaman E, et al. Circulating plasma micro RNAs in patients with major depressive disorder treated with antidepressants: a pilot study. Psychiatry Investig. 2016;13:549\u201357.","journal-title":"Psychiatry Investig"},{"key":"3102_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fnmol.2017.00355","volume":"10","author":"K Oved","year":"2017","unstructured":"Oved K, Farberov L, Gilam A, Israel I, Haguel D, Gurwitz D. MicroRNA-mediated regulation of ITGB3 and CHL1 is implicated in SSRI action. Front Mol Neurosci. 2017;10:1\u201319.","journal-title":"Front Mol Neurosci"},{"key":"3102_CR46","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1038\/s41431-018-0157-8","volume":"26","author":"J Mengel-From","year":"2018","unstructured":"Mengel-From J, Feddersen S, Halekoh U, Heegaard NHH, McGue M, Christensen K, et al. Circulating microRNAs disclose biology of normal cognitive function in healthy elderly people \u2013 a discovery twin study. Eur J Hum Genet. 2018;26:1378\u201387.","journal-title":"Eur J Hum Genet"},{"key":"3102_CR47","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2021.783017","volume":"9","author":"C Li","year":"2022","unstructured":"Li C, Qin T, Liu Y, Wen H, Zhao J, Luo Z, et al. Microglia-derived exosomal microRNA-151-3p enhances functional healing after spinal cord injury by attenuating neuronal apoptosis via regulating the p53\/p21\/CDK1 signaling pathway. Front Cell Dev Biol. 2022;9:783017.","journal-title":"Front Cell Dev Biol"},{"key":"3102_CR48","doi-asserted-by":"publisher","first-page":"R125","DOI":"10.1093\/hmg\/dds317","volume":"21","author":"Y Lee","year":"2012","unstructured":"Lee Y, El Andaloussi S, Wood MJA. Exosomes and microvesicles: extracellular vesicles for genetic information transfer and gene therapy. Hum Mol Genet. 2012;21:R125\u201334.","journal-title":"Hum Mol Genet"},{"key":"3102_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40035-019-0169-5","volume":"8","author":"A G\u00e1mez-Valero","year":"2019","unstructured":"G\u00e1mez-Valero A, Campdelacreu J, Vilas D, Ispierto L, Re\u00f1\u00e9 R, \u00c1lvarez R, et al. Exploratory study on microRNA profiles from plasma-derived extracellular vesicles in Alzheimer\u2019s disease and dementia with Lewy bodies. Transl Neurodegener. 2019;8:1\u201317.","journal-title":"Transl Neurodegener"},{"key":"3102_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/2040-2392-5-40","volume":"5","author":"M Mundalil Vasu","year":"2014","unstructured":"Mundalil Vasu M, Anitha A, Thanseem I, Suzuki K, Yamada K, Takahashi T, et al. Serum microRNA profiles in children with autism. Mol Autism. 2014;5:1\u20139.","journal-title":"Mol Autism"},{"key":"3102_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fnhum.2019.00146","volume":"13","author":"A Ries","year":"2019","unstructured":"Ries A, Hollander M, Glim S, Meng C, Sorg C, Wohlschl\u00e4ger A. Frequency-dependent spatial distribution of functional hubs in the human brain and alterations in major depressive disorder. Front Hum Neurosci. 2019;13:1\u201317.","journal-title":"Front Hum Neurosci"},{"key":"3102_CR52","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1007\/s12264-023-01052-7","volume":"39","author":"F Wu","year":"2023","unstructured":"Wu F, Lu Q, Kong Y, Zhang Z. A comprehensive overview of the role of visual cortex malfunction in depressive disorders: opportunities and challenges. Neurosci Bull. 2023;39:1426\u201338.","journal-title":"Neurosci Bull"},{"key":"3102_CR53","doi-asserted-by":"publisher","first-page":"6747","DOI":"10.1038\/s41380-021-01090-5","volume":"26","author":"XM Song","year":"2021","unstructured":"Song XM, Hu XW, Li Z, Gao Y, Ju X, Liu DY, et al. Reduction of higher-order occipital GABA and impaired visual perception in acute major depressive disorder. Mol Psychiatry. 2021;26:6747\u201355.","journal-title":"Mol Psychiatry"},{"key":"3102_CR54","first-page":"301","volume":"69","author":"C Hamani","year":"2010","unstructured":"Hamani C, Mayberg H, Stone S, Laxton A, Haber S, Lozano AM. The subcallosal cingulate gyrus in the context of major depression. BPS. 2010;69:301\u20138.","journal-title":"BPS"},{"key":"3102_CR55","doi-asserted-by":"publisher","first-page":"3001","DOI":"10.1007\/s00429-019-01945-2","volume":"224","author":"ET Rolls","year":"2019","unstructured":"Rolls ET. The cingulate cortex and limbic systems for emotion, action, and memory. Brain Struct Funct. 2019;224:3001\u201318.","journal-title":"Brain Struct Funct"},{"key":"3102_CR56","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1093\/cercor\/13.3.308","volume":"13","author":"ET Rolls","year":"2003","unstructured":"Rolls ET, O\u2019Doherty J, Kringelbach ML, Francis S, Bowtell R, McGlone F. Representations of pleasant and painful touch in the human orbitofrontal and cingulate cortices. Cereb Cortex. 2003;13:308\u201317.","journal-title":"Cereb Cortex"},{"key":"3102_CR57","doi-asserted-by":"publisher","first-page":"3427","DOI":"10.1016\/j.neuroimage.2011.11.013","volume":"59","author":"L Lindgren","year":"2012","unstructured":"Lindgren L, Westling G, Brulin C, Lehtipalo S, Andersson M, Nyberg L. Pleasant human touch is represented in pregenual anterior cingulate cortex. Neuroimage. 2012;59:3427\u201332.","journal-title":"Neuroimage"},{"key":"3102_CR58","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.tics.2010.12.004","volume":"15","author":"F Grabenhorst","year":"2011","unstructured":"Grabenhorst F, Rolls ET. Value, pleasure and choice in the ventral prefrontal cortex. Trends Cogn Sci. 2011;15:56\u201367.","journal-title":"Trends Cogn Sci"},{"key":"3102_CR59","doi-asserted-by":"publisher","first-page":"3617","DOI":"10.1093\/cercor\/bhy236","volume":"29","author":"ET Rolls","year":"2019","unstructured":"Rolls ET, Cheng W, Gong W, Qiu J, Zhou C, Zhang J, et al. Functional connectivity of the anterior cingulate cortex in depression and in health. Cereb Cortex. 2019;29:3617\u201330.","journal-title":"Cereb Cortex"},{"key":"3102_CR60","doi-asserted-by":"publisher","first-page":"3837","DOI":"10.1016\/j.neuron.2023.08.022","volume":"111","author":"Z Yuan","year":"2023","unstructured":"Yuan Z, Qi Z, Wang R, Cui Y, An S, Wu G, et al. A corticoamygdalar pathway controls reward devaluation and depression using dynamic inhibition code. Neuron. 2023;111:3837\u201353.e5.","journal-title":"Neuron"},{"key":"3102_CR61","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1126\/science.abe3040","volume":"371","author":"ML Smith","year":"2021","unstructured":"Smith ML, Asada N, Malenka RC. Anterior cingulate inputs to nucleus accumbens control the social transfer of pain and analgesia. Science. 2021;371:153\u20139.","journal-title":"Science"},{"key":"3102_CR62","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1126\/science.3287615","volume":"240","author":"JA SWETS","year":"1988","unstructured":"SWETS JA. Measuring the accuracy of diagnostic systems. Science. 1988;240:1285\u201393.","journal-title":"Science"},{"key":"3102_CR63","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1038\/s41380-019-0585-z","volume":"25","author":"M Kennis","year":"2020","unstructured":"Kennis M, Gerritsen L, van Dalen M, Williams A, Cuijpers P, Bockting C. Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis. Mol Psychiatry. 2020;25:321\u201338.","journal-title":"Mol Psychiatry"},{"key":"3102_CR64","doi-asserted-by":"publisher","DOI":"10.1126\/science.aan4672","volume":"359","author":"CE Dunbar","year":"2018","unstructured":"Dunbar CE, High KA, Joung JK, Kohn DB, Ozawa K, Sadelain M. Gene therapy comes of age. Science. 2018;359:eaan4672.","journal-title":"Science"}],"container-title":["Molecular Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41380-025-03102-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41380-025-03102-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41380-025-03102-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:04:01Z","timestamp":1760598241000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41380-025-03102-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,9]]},"references-count":64,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["3102"],"URL":"https:\/\/doi.org\/10.1038\/s41380-025-03102-0","relation":{},"ISSN":["1359-4184","1476-5578"],"issn-type":[{"value":"1359-4184","type":"print"},{"value":"1476-5578","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,9]]},"assertion":[{"value":"5 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors report no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"All methods used in this study were performed in accordance with the relevant guidelines and regulations, including the Declaration of Helsinki. All studies involving human subjects have been approved by the Ethical Committee of School of Basic Medical Sciences, Shandong University (No. ECSBMSSDU2022-1-61) and registered with the Chinese Clinical Trial Registry (ChiCTR2200060261). All animal care and experiments were conducted in accordance with the guidelines of the National Institutes of Health for the care and use of laboratory animals and approved by the Institutional Animal Care and Use Committee of School of Basic Medical Sciences, Shandong University (No. ECSBMSSDU2022-2-106). All participants voluntarily enrolled in the study and provided written informed consent. Additionally, all participants also signed the informed consent forms for the MR scan and agreed to the publication of the MR images.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}}]}}