{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T19:35:57Z","timestamp":1774726557994,"version":"3.50.1"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T00:00:00Z","timestamp":1774483200000},"content-version":"vor","delay-in-days":43,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Tianjin Municipal Education Commission Scientific Research Project"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"DOI":"10.1038\/s41398-026-03897-8","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T08:54:17Z","timestamp":1770800057000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dissecting the shared genetic landscape of schizophrenia and hippocampal subfields: A genome-wide cross-trait analysis"],"prefix":"10.1038","volume":"16","author":[{"given":"Lining","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxuan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yayuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zuhao","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minghuan","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinglei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjie","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"An","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haolin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengtan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanmin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengge","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3570-4222","authenticated-orcid":false,"given":"Feng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,11]]},"reference":[{"key":"3897_CR1","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1093\/schbul\/sby058","volume":"44","author":"FJ Charlson","year":"2018","unstructured":"Charlson FJ, Ferrari AJ, Santomauro DF, Diminic S, Stockings E, Scott JG, et al. Global epidemiology and burden of schizophrenia: findings from the global burden of disease study 2016. Schizophr Bull. 2018;44:1195\u2013203.","journal-title":"Schizophr Bull"},{"key":"3897_CR2","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/S0140-6736(21)01730-X","volume":"399","author":"S Jauhar","year":"2022","unstructured":"Jauhar S, Johnstone M, McKenna PJ. Schizophrenia. Lancet. 2022;399:473\u201386.","journal-title":"Lancet"},{"key":"3897_CR3","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jpsychires.2014.03.021","volume":"54","author":"A Millier","year":"2014","unstructured":"Millier A, Schmidt U, Angermeyer MC, Chauhan D, Murthy V, Toumi M, et al. Humanistic burden in schizophrenia: a literature review. J Psychiatr Res. 2014;54:85\u201393.","journal-title":"J Psychiatr Res"},{"key":"3897_CR4","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s40273-016-0444-6","volume":"35","author":"H Jin","year":"2017","unstructured":"Jin H, Mosweu I. The societal cost of schizophrenia: A systematic review. Pharmacoeconomics. 2017;35:25\u201342.","journal-title":"Pharmacoeconomics"},{"key":"3897_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2014\/929434","volume":"2014","author":"H H\u00e4fner","year":"2014","unstructured":"H\u00e4fner H. The concept of schizophrenia: from unity to diversity. Adv Psychiatry. 2014;2014:1\u201339.","journal-title":"Adv Psychiatry"},{"key":"3897_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2024.120551","volume":"289","author":"M Cai","year":"2024","unstructured":"Cai M, Ji Y, Zhao Q, Xue H, Sun Z, Wang H, et al. Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression. Neuroimage. 2024;289:120551.","journal-title":"Neuroimage"},{"key":"3897_CR7","doi-asserted-by":"publisher","first-page":"5482","DOI":"10.3390\/ijms23105482","volume":"23","author":"D Wegrzyn","year":"2022","unstructured":"Wegrzyn D, Juckel G, Faissner A. Structural and functional deviations of the hippocampus in schizophrenia and schizophrenia animal models. Int J Mol Sci. 2022;23:5482.","journal-title":"Int J Mol Sci"},{"key":"3897_CR8","doi-asserted-by":"publisher","first-page":"298","DOI":"10.3390\/bs3020298","volume":"3","author":"CG Wible","year":"2013","unstructured":"Wible CG. Hippocampal physiology, structure and function and the neuroscience of schizophrenia: a unified account of declarative memory deficits, working memory deficits and schizophrenic symptoms. Behav Sci (Basel). 2013;3:298\u2013315.","journal-title":"Behav Sci (Basel)"},{"key":"3897_CR9","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1093\/schbul\/sbu009","volume":"41","author":"SJ Arnold","year":"2015","unstructured":"Arnold SJ, Ivleva EI, Gopal TA, Reddy AP, Jeon-Slaughter H, Sacco CB, et al. Hippocampal volume is reduced in schizophrenia and schizoaffective disorder but not in psychotic bipolar I disorder demonstrated by both manual tracing and automated parcellation (FreeSurfer). Schizophr Bull. 2015;41:233\u201349.","journal-title":"Schizophr Bull"},{"key":"3897_CR10","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.642048","volume":"12","author":"D Sasabayashi","year":"2021","unstructured":"Sasabayashi D, Yoshimura R, Takahashi T, Takayanagi Y, Nishiyama S, Higuchi Y, et al. Reduced hippocampal subfield volume in schizophrenia and clinical high-risk state for psychosis. Front Psychiatry. 2021;12:642048.","journal-title":"Front Psychiatry"},{"key":"3897_CR11","doi-asserted-by":"publisher","first-page":"1764","DOI":"10.1038\/mp.2017.249","volume":"23","author":"JA Lieberman","year":"2018","unstructured":"Lieberman JA, Girgis RR, Brucato G, Moore H, Provenzano F, Kegeles L, et al. Hippocampal dysfunction in the pathophysiology of schizophrenia: a selective review and hypothesis for early detection and intervention. Mol Psychiatry. 2018;23:1764\u201372.","journal-title":"Mol Psychiatry"},{"key":"3897_CR12","doi-asserted-by":"publisher","first-page":"3524","DOI":"10.1038\/s41380-020-0853-y","volume":"26","author":"MJ Roeske","year":"2021","unstructured":"Roeske MJ, Konradi C, Heckers S, Lewis AS. Hippocampal volume and hippocampal neuron density, number and size in schizophrenia: a systematic review and meta-analysis of postmortem studies. Mol Psychiatry. 2021;26:3524\u201335.","journal-title":"Mol Psychiatry"},{"key":"3897_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2021.110291","volume":"110","author":"K Ohi","year":"2021","unstructured":"Ohi K, Nemoto K, Kataoka Y, Sugiyama S, Muto Y, Shioiri T, et al. Alterations in hippocampal subfield volumes among schizophrenia patients, their first-degree relatives and healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry. 2021;110:110291.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"3897_CR14","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1093\/schbul\/sbac043","volume":"49","author":"W Qi","year":"2023","unstructured":"Qi W, Marx J, Zingman M, Li Y, Petkova E, Blessing E, et al. Hippocampal subfield volumes predict disengagement from maintenance treatment in first episode schizophrenia. Schizophr Bull. 2023;49:34\u201342.","journal-title":"Schizophr Bull"},{"key":"3897_CR15","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1093\/schbul\/sbx148","volume":"44","author":"OB Smeland","year":"2018","unstructured":"Smeland OB, Wang Y, Frei O, Li W, Hibar DP, Franke B, et al. Genetic overlap between schizophrenia and volumes of hippocampus, putamen, and intracranial volume indicates shared molecular genetic mechanisms. Schizophr Bull. 2018;44:854\u201364.","journal-title":"Schizophr Bull"},{"key":"3897_CR16","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1192\/bjp.2019.127","volume":"216","author":"S Liu","year":"2020","unstructured":"Liu S, Li A, Liu Y, Yan H, Wang M, Sun Y, et al. Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus-medial prefrontal cortex functional connectivity. Br J Psychiatry. 2020;216:267\u201374.","journal-title":"Br J Psychiatry"},{"key":"3897_CR17","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1038\/s41593-021-00826-4","volume":"24","author":"SM Smith","year":"2021","unstructured":"Smith SM, Douaud G, Chen W, Hanayik T, Alfaro-Almagro F, Sharp K, et al. An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank. Nat Neurosci. 2021;24:737\u201345.","journal-title":"Nat Neurosci"},{"key":"3897_CR18","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1038\/s41586-022-04434-5","volume":"604","author":"V Trubetskoy","year":"2022","unstructured":"Trubetskoy V, Pardi\u00f1as AF, Qi T, Panagiotaropoulou G, Awasthi S, Bigdeli TB, et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature. 2022;604:502\u20138.","journal-title":"Nature"},{"key":"3897_CR19","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1093\/schbul\/sbae099","volume":"50","author":"Y Xie","year":"2024","unstructured":"Xie Y, Zhao Y, Zhou Y, Jiang Y, Zhang Y, Du J, et al. Shared genetic architecture among gastrointestinal diseases, schizophrenia, and brain subcortical volumes. Schizophr Bull. 2024;50:1243\u201354.","journal-title":"Schizophr Bull"},{"key":"3897_CR20","doi-asserted-by":"publisher","DOI":"10.1192\/bjo.2021.1086","volume":"8","author":"K Ohi","year":"2022","unstructured":"Ohi K, Muto Y, Takai K, Sugiyama S, Shioiri T. Investigating genetic overlaps of the genetic factor differentiating schizophrenia from bipolar disorder with cognitive function and hippocampal volume. BJPsych Open. 2022;8:e33.","journal-title":"BJPsych Open"},{"key":"3897_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2022.114795","volume":"316","author":"Z Li","year":"2022","unstructured":"Li Z, Chen X. Comprehensive analysis of shared genetic loci between hippocampal volume and schizophrenia. Psychiatry Res. 2022;316:114795.","journal-title":"Psychiatry Res"},{"key":"3897_CR22","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-31086-w","volume":"13","author":"S Bahrami","year":"2022","unstructured":"Bahrami S, Nordengen K, Shadrin AA, Frei O, van der Meer D, Dale AM, et al. Distributed genetic architecture across the hippocampal formation implies common neuropathology across brain disorders. Nat Commun. 2022;13:3436.","journal-title":"Nat Commun"},{"key":"3897_CR23","doi-asserted-by":"publisher","first-page":"3053","DOI":"10.1038\/s41380-018-0262-7","volume":"25","author":"D van der Meer","year":"2020","unstructured":"van der Meer D, Rokicki J, Kaufmann T, C\u00f3rdova-Palomera A, Moberget T, Aln\u00e6s D, et al. Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Mol Psychiatry. 2020;25:3053\u201365.","journal-title":"Mol Psychiatry"},{"key":"3897_CR24","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neuroimage.2015.04.042","volume":"115","author":"JE Iglesias","year":"2015","unstructured":"Iglesias JE, Augustinack JC, Nguyen K, Player CM, Player A, Wright M, et al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. Neuroimage. 2015;115:117\u201337.","journal-title":"Neuroimage"},{"key":"3897_CR25","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","volume":"33","author":"B Fischl","year":"2002","unstructured":"Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33:341\u201355.","journal-title":"Neuron"},{"key":"3897_CR26","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1038\/ng.3406","volume":"47","author":"B Bulik-Sullivan","year":"2015","unstructured":"Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, et al. An atlas of genetic correlations across human diseases and traits. Nat Genet. 2015;47:1236\u201341.","journal-title":"Nat Genet"},{"key":"3897_CR27","doi-asserted-by":"publisher","first-page":"e1003455","DOI":"10.1371\/journal.pgen.1003455","volume":"9","author":"OA Andreassen","year":"2013","unstructured":"Andreassen OA, Thompson WK, Schork AJ, Ripke S, Mattingsdal M, Kelsoe JR, et al. Improved detection of common variants associated with schizophrenia and bipolar disorder using pleiotropy-informed conditional false discovery rate. PLoS Genet. 2013;9:e1003455.","journal-title":"PLoS Genet"},{"key":"3897_CR28","doi-asserted-by":"publisher","first-page":"3455","DOI":"10.1038\/s41380-025-02932-2","volume":"30","author":"Q Zhao","year":"2025","unstructured":"Zhao Q, Wang S, Xiong D, Liu M, Zhang Y, Zhao G, et al. Genome-wide analysis identifies novel shared loci between depression and white matter microstructure. Mol Psychiatry. 2025;30:3455\u201365.","journal-title":"Mol Psychiatry"},{"key":"3897_CR29","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s00439-019-02060-2","volume":"139","author":"OB Smeland","year":"2020","unstructured":"Smeland OB, Frei O, Shadrin A, O\u2019Connell K, Fan CC, Bahrami S, et al. Discovery of shared genomic loci using the conditional false discovery rate approach. Hum Genet. 2020;139:85\u201394.","journal-title":"Hum Genet"},{"key":"3897_CR30","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.ajhg.2013.01.001","volume":"92","author":"OA Andreassen","year":"2013","unstructured":"Andreassen OA, Djurovic S, Thompson WK, Schork AJ, Kendler KS, O\u2019Donovan MC, et al. Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors. Am J Hum Genet. 2013;92:197\u2013209.","journal-title":"Am J Hum Genet"},{"key":"3897_CR31","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1038\/mp.2015.209","volume":"21","author":"N Okada","year":"2016","unstructured":"Okada N, Fukunaga M, Yamashita F, Koshiyama D, Yamamori H, Ohi K, et al. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry. 2016;21:1460\u20136.","journal-title":"Mol Psychiatry"},{"key":"3897_CR32","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1038\/s41562-021-01069-w","volume":"5","author":"Z Sha","year":"2021","unstructured":"Sha Z, Schijven D, Carrion-Castillo A, Joliot M, Mazoyer B, Fisher SE, et al. The genetic architecture of structural left-right asymmetry of the human brain. Nat Hum Behav. 2021;5:1226\u201339.","journal-title":"Nat Hum Behav"},{"key":"3897_CR33","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-52121-y","volume":"15","author":"M Liu","year":"2024","unstructured":"Liu M, Wang L, Zhang Y, Dong H, Wang C, Chen Y, et al. Investigating the shared genetic architecture between depression and subcortical volumes. Nat Commun. 2024;15:7647.","journal-title":"Nat Commun"},{"key":"3897_CR34","volume":"8","author":"Q Zhao","year":"2025","unstructured":"Zhao Q, Xu J, Shi Z, Zhang Y, Du X, Zhai Y, et al. Genome-wide pleiotropy analysis reveals shared genetic associations between type 2 diabetes mellitus and subcortical brain volumes. Research (Wash D C). 2025;8:0688.","journal-title":"Research (Wash D C)"},{"key":"3897_CR35","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-025-03585-z","volume":"15","author":"J Xu","year":"2025","unstructured":"Xu J, Du X, Zhai Y, Zhao Q, Zhang Y, Wang H, et al. Shared neuroimaging and molecular profiles in type 2 diabetes mellitus and major depressive disorder: an integrative analysis of genetic, transcriptomic, and neuroimaging data. Transl Psychiatry. 2025;15:352.","journal-title":"Transl Psychiatry"},{"key":"3897_CR36","first-page":"1","volume":"1","author":"L-N Guo","year":"2026","unstructured":"Guo L-N, An Q, Zhang Z-H, Wu Q, Liu Y, Cai W-J, et al. Shared genetic architecture between schizophrenia and osteoporosis revealed by multilevel genomic analyses. Genomic Psychiatry. 2026;1:1\u20137.","journal-title":"Genomic Psychiatry"},{"key":"3897_CR37","doi-asserted-by":"publisher","unstructured":"Xue H, Lei M, Zhao Q, Zhang Z, Sun Z, Zhang Y, et al. Powering the mind: deciphering the shared genetic architecture between mitochondrial DNA copy number and major psychiatric disorders. Mol Psychiatry. https:\/\/doi.org\/10.1038\/s41380-026-03463-0 (2026).","DOI":"10.1038\/s41380-026-03463-0"},{"key":"3897_CR38","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1038\/ng.2892","volume":"46","author":"M Kircher","year":"2014","unstructured":"Kircher M, Witten DM, Jain P, O\u2019Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46:310\u20135.","journal-title":"Nat Genet"},{"key":"3897_CR39","doi-asserted-by":"publisher","first-page":"1790","DOI":"10.1101\/gr.137323.112","volume":"22","author":"AP Boyle","year":"2012","unstructured":"Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012;22:1790\u20137.","journal-title":"Genome Res"},{"key":"3897_CR40","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1038\/nature14248","volume":"518","author":"A Kundaje","year":"2015","unstructured":"Kundaje A, Meuleman W, Ernst J, Bilenky M, Yen A, Heravi-Moussavi A, et al. Integrative analysis of 111 reference human epigenomes. Nature. 2015;518:317\u201330.","journal-title":"Nature"},{"key":"3897_CR41","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1038\/nmeth.1906","volume":"9","author":"J Ernst","year":"2012","unstructured":"Ernst J, Kellis M. ChromHMM: automating chromatin-state discovery and characterization. Nat Methods. 2012;9:215\u20136.","journal-title":"Nat Methods"},{"key":"3897_CR42","doi-asserted-by":"publisher","first-page":"W207","DOI":"10.1093\/nar\/gkad347","volume":"51","author":"L Kolberg","year":"2023","unstructured":"Kolberg L, Raudvere U, Kuzmin I, Adler P, Vilo J, Peterson H. g:Profiler-interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update). Nucleic Acids Res. 2023;51:W207\u2013w12.","journal-title":"Nucleic Acids Res"},{"key":"3897_CR43","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1038\/s41588-022-01017-y","volume":"54","author":"J Werme","year":"2022","unstructured":"Werme J, van der Sluis S, Posthuma D, de Leeuw CA. An integrated framework for local genetic correlation analysis. Nat Genet. 2022;54:274\u201382.","journal-title":"Nat Genet"},{"key":"3897_CR44","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1038\/s41537-024-00453-5","volume":"10","author":"J Zhang","year":"2024","unstructured":"Zhang J, Qiu H, Zhao Q, Liao C, Guoli Y, Luo Q, et al. Genetic overlap between schizophrenia and cognitive performance. Schizophrenia (Heidelb). 2024;10:31.","journal-title":"Schizophrenia (Heidelb)"},{"key":"3897_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2024.111121","volume":"135","author":"H Wang","year":"2024","unstructured":"Wang H, Zhao Q, Zhang Y, Ma J, Lei M, Zhang Z, et al. Shared genetic architecture of cortical thickness alterations in major depressive disorder and schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2024;135:111121.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"3897_CR46","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1016\/j.biopsych.2019.11.015","volume":"87","author":"KS O\u2019Connell","year":"2020","unstructured":"O\u2019Connell KS, Shadrin A, Smeland OB, Bahrami S, Frei O, Bettella F, et al. Identification of genetic loci shared between attention-deficit\/hyperactivity disorder, intelligence, and educational attainment. Biol Psychiatry. 2020;87:1052\u201362.","journal-title":"Biol Psychiatry"},{"key":"3897_CR47","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/S0896-6273(02)00830-9","volume":"35","author":"N Burgess","year":"2002","unstructured":"Burgess N, Maguire EA, O\u2019Keefe J. The human hippocampus and spatial and episodic memory. Neuron. 2002;35:625\u201341.","journal-title":"Neuron"},{"key":"3897_CR48","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0451","volume":"7","author":"Y Zhang","year":"2026","unstructured":"Zhang Y, Liu M, Wang S, Zhang W, Dong H, Qian Q, et al. Hemispheric asymmetry in the genetic overlap between schizophrenia and white matter microstructure. Cyborg Bionic Syst. 2026;7:0451.","journal-title":"Cyborg Bionic Syst"},{"key":"3897_CR49","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.neubiorev.2007.07.012","volume":"32","author":"P Allen","year":"2008","unstructured":"Allen P, Lar\u00f8i F, McGuire PK, Aleman A. The hallucinating brain: a review of structural and functional neuroimaging studies of hallucinations. Neurosci Biobehav Rev. 2008;32:175\u201391.","journal-title":"Neurosci Biobehav Rev"},{"key":"3897_CR50","doi-asserted-by":"publisher","first-page":"2452","DOI":"10.1017\/S0033291718003458","volume":"49","author":"CMJ Wannan","year":"2019","unstructured":"Wannan CMJ, Cropley VL, Chakravarty MM, Van Rheenen TE, Mancuso S, Bousman C, et al. Hippocampal subfields and visuospatial associative memory across stages of schizophrenia-spectrum disorder. Psychol Med. 2019;49:2452\u201362.","journal-title":"Psychol Med"},{"key":"3897_CR51","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0130","volume":"5","author":"G Qi","year":"2024","unstructured":"Qi G, Liu R, Guan W, Huang A. Augmented recognition of distracted driving state based on electrophysiological analysis of brain network. Cyborg Bionic Syst. 2024;5:0130.","journal-title":"Cyborg Bionic Syst"},{"key":"3897_CR52","doi-asserted-by":"publisher","first-page":"4893","DOI":"10.1007\/s12035-015-9415-8","volume":"53","author":"CC Zhang","year":"2016","unstructured":"Zhang CC, Xing A, Tan MS, Tan L, Yu JT. The role of MAPT in neurodegenerative diseases: genetics, mechanisms and therapy. Mol Neurobiol. 2016;53:4893\u2013904.","journal-title":"Mol Neurobiol"},{"key":"3897_CR53","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-28360-2","volume":"13","author":"F D\u2019Addio","year":"2022","unstructured":"D\u2019Addio F, Maestroni A, Assi E, Ben Nasr M, Amabile G, Usuelli V, et al. The IGFBP3\/TMEM219 pathway regulates beta cell homeostasis. Nat Commun. 2022;13:684.","journal-title":"Nat Commun"},{"key":"3897_CR54","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1093\/schbul\/sbn187","volume":"35","author":"SH Fatemi","year":"2009","unstructured":"Fatemi SH, Folsom TD. The neurodevelopmental hypothesis of schizophrenia, revisited. Schizophr Bull. 2009;35:528\u201348.","journal-title":"Schizophr Bull"},{"key":"3897_CR55","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1093\/schbul\/sbaa092","volume":"47","author":"X Duan","year":"2021","unstructured":"Duan X, He C, Ou J, Wang R, Xiao J, Li L, et al. Reduced hippocampal volume and its relationship with verbal memory and negative symptoms in treatment-naive first-episode adolescent-onset schizophrenia. Schizophr Bull. 2021;47:64\u201374.","journal-title":"Schizophr Bull"},{"key":"3897_CR56","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0123","volume":"5","author":"Y Zhu","year":"2024","unstructured":"Zhu Y, Jing L, Hu R, Mo F, Jia Q, Yang G, et al. High-Throughput microelectrode arrays for precise functional localization of the globus pallidus internus. Cyborg Bionic Syst. 2024;5:0123.","journal-title":"Cyborg Bionic Syst"},{"key":"3897_CR57","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0118","volume":"5","author":"H Wen","year":"2024","unstructured":"Wen H, Zhong Y, Yao L, Wang Y. Neural correlates of motor\/tactile imagery and tactile sensation in a BCI paradigm: A high-density EEG source imaging study. Cyborg Bionic Syst. 2024;5:0118.","journal-title":"Cyborg Bionic Syst"},{"key":"3897_CR58","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0116","volume":"5","author":"T Jia","year":"2024","unstructured":"Jia T, Sun J, McGeady C, Ji L, Li C. Enhancing brain-computer interface performance by incorporating brain-to-brain coupling. Cyborg Bionic Syst. 2024;5:0116.","journal-title":"Cyborg Bionic Syst"},{"key":"3897_CR59","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/s41380-022-01669-6","volume":"28","author":"F Liu","year":"2023","unstructured":"Liu F, Xu J, Guo L, Qin W, Liang M, Schumann G, et al. Environmental neuroscience linking exposome to brain structure and function underlying cognition and behavior. Mol Psychiatry. 2023;28:17\u201327.","journal-title":"Mol Psychiatry"},{"key":"3897_CR60","doi-asserted-by":"publisher","first-page":"e244","DOI":"10.71321\/ymyc0370","volume":"1","author":"Z Zhang","year":"2025","unstructured":"Zhang Z, Zhao Q, Xu J, Yang K, Wu Y, Lei M, et al. Linking environmental exposures to depression: Insights from epidemiology, biology, and methodology. Brain Conflux. 2025;1:e244 -e.","journal-title":"Brain Conflux"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-03897-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-03897-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-03897-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T13:10:30Z","timestamp":1774530630000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-03897-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,11]]},"references-count":60,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["3897"],"URL":"https:\/\/doi.org\/10.1038\/s41398-026-03897-8","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,11]]},"assertion":[{"value":"24 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2026","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"}},{"value":"All analyses in this study were based on publicly available GWAS datasets. The UK Biobank obtained approval from the North West Multi-center Research Ethics Committee (MREC) for data and sample collection, in accordance with ethical guidelines (\n                      \n                      ), and written informed consent was provided by all participants. The study protocols for the schizophrenia data were approved by the institutional review boards at each recruitment center. Informed consent and permission to share the data were obtained from all individuals, in compliance with the relevant guidelines of the recruiting centers\u2019 institutional review boards. All methods were performed in accordance with the relevant guidelines and regulations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}}],"article-number":"169"}}