{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T18:47:15Z","timestamp":1793299635097,"version":"4.5.0"},"reference-count":86,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T00:00:00Z","timestamp":1736121600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T00:00:00Z","timestamp":1736121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Municipal Key R&D Program of Ningbo","award":["2023Z175"],"award-info":[{"award-number":["2023Z175"]}]},{"name":"Applied Basic Research Programs of Science and Technology Commission Foundation of Zhejiang Province","award":["BD23H090003"],"award-info":[{"award-number":["BD23H090003"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Molecular Autism"],"DOI":"10.1186\/s13229-024-00632-2","type":"journal-article","created":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T09:11:01Z","timestamp":1736154661000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Molecular architecture of the altered cortical complexity in autism"],"prefix":"10.1186","volume":"16","author":[{"given":"Makliya","family":"Mamat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenwen","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,6]]},"reference":[{"issue":"9920","key":"632_CR1","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1016\/S0140-6736(13)61539-1","volume":"383","author":"MC Lai","year":"2014","unstructured":"Lai MC, Lombardo MV, Baron-Cohen S. Autism. Lancet. 2014;383(9920):896\u2013910.","journal-title":"Lancet"},{"issue":"9","key":"632_CR2","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1038\/s41588-022-01072-5","volume":"54","author":"V Warrier","year":"2022","unstructured":"Warrier V, Zhang X, Reed P, Havdahl A, Moore TM, Cliquet F, et al. Genetic correlates of phenotypic heterogeneity in autism. Nat Genet. 2022;54(9):1293\u2013304.","journal-title":"Nat Genet"},{"issue":"5","key":"632_CR3","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1111\/jcpp.12499","volume":"57","author":"B Tick","year":"2016","unstructured":"Tick B, Bolton P, Happe F, Rutter M, Rijsdijk F. Heritability of autism spectrum disorders: a meta-analysis of twin studies. J Child Psychol Psychiatry. 2016;57(5):585\u201395.","journal-title":"J Child Psychol Psychiatry"},{"issue":"3","key":"632_CR4","doi-asserted-by":"publisher","first-page":"1721","DOI":"10.1093\/cercor\/bhx038","volume":"27","author":"BS Khundrakpam","year":"2017","unstructured":"Khundrakpam BS, Lewis JD, Kostopoulos P, Carbonell F, Evans AC. Cortical thickness abnormalities in autism spectrum disorders through late childhood, adolescence, and adulthood: a large-scale MRI study. Cereb Cortex. 2017;27(3):1721\u201331.","journal-title":"Cereb Cortex"},{"issue":"4","key":"632_CR5","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1176\/appi.ajp.2017.17010100","volume":"175","author":"D van Rooij","year":"2018","unstructured":"van Rooij D, Anagnostou E, Arango C, Auzias G, Behrmann M, Busatto GF, et al. Cortical and subcortical brain morphometry differences between patients with autism spectrum disorder and healthy individuals across the lifespan: results from the ENIGMA ASD Working Group. Am J Psychiatry. 2018;175(4):359\u201369.","journal-title":"Am J Psychiatry"},{"issue":"1","key":"632_CR6","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.1038\/s42003-021-02572-6","volume":"4","author":"O Benkarim","year":"2021","unstructured":"Benkarim O, Paquola C, Park BY, Hong SJ, Royer J, Vos de Wael R, et al. Connectivity alterations in autism reflect functional idiosyncrasy. Commun Biol. 2021;4(1):1078.","journal-title":"Commun Biol"},{"issue":"1","key":"632_CR7","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1038\/s41398-018-0296-2","volume":"8","author":"G Bezgin","year":"2018","unstructured":"Bezgin G, Lewis JD, Evans AC. Developmental changes of cortical white-gray contrast as predictors of autism diagnosis and severity. Transl Psychiatry. 2018;8(1):249.","journal-title":"Transl Psychiatry"},{"issue":"3775","key":"632_CR8","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1126\/science.156.3775.636","volume":"156","author":"B Mandelbrot","year":"1967","unstructured":"Mandelbrot B. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science. 1967;156(3775):636\u20138.","journal-title":"Science"},{"issue":"6","key":"632_CR9","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1111\/ejn.15631","volume":"55","author":"V Meregalli","year":"2022","unstructured":"Meregalli V, Alberti F, Madan CR, Meneguzzo P, Miola A, Trevisan N, et al. Cortical complexity estimation using fractal dimension: a systematic review of the literature on clinical and nonclinical samples. Eur J Neurosci. 2022;55(6):1547\u201383.","journal-title":"Eur J Neurosci"},{"issue":"7","key":"632_CR10","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1080\/13607863.2017.1421613","volume":"23","author":"CR Madan","year":"2019","unstructured":"Madan CR. Shape-related characteristics of age-related differences in subcortical structures. Aging Ment Health. 2019;23(7):800\u201310.","journal-title":"Aging Ment Health"},{"issue":"3","key":"632_CR11","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1016\/j.neuroimage.2011.02.007","volume":"56","author":"RA Yotter","year":"2011","unstructured":"Yotter RA, Nenadic I, Ziegler G, Thompson PM, Gaser C. Local cortical surface complexity maps from spherical harmonic reconstructions. Neuroimage. 2011;56(3):961\u201373.","journal-title":"Neuroimage"},{"key":"632_CR12","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.compbiomed.2019.05.017","volume":"110","author":"S Firooz","year":"2019","unstructured":"Firooz S, Setarehdan SK. IQ estimation by means of EEG-fNIRS recordings during a logical-mathematical intelligence test. Comput Biol Med. 2019;110:218\u201326.","journal-title":"Comput Biol Med"},{"issue":"1","key":"632_CR13","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1038\/s41398-021-01719-7","volume":"11","author":"M Kritikos","year":"2021","unstructured":"Kritikos M, Clouston SAP, Huang C, Pellecchia AC, Mejia-Santiago S, Carr MA, et al. Cortical complexity in world trade center responders with chronic posttraumatic stress disorder. Transl Psychiatry. 2021;11(1):597.","journal-title":"Transl Psychiatry"},{"key":"632_CR14","doi-asserted-by":"publisher","first-page":"1231513","DOI":"10.3389\/fnhum.2023.1231513","volume":"17","author":"C Marzi","year":"2023","unstructured":"Marzi C, Scheda R, Salvadori E, Giorgio A, De Stefano N, Poggesi A, et al. Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis. Front Hum Neurosci. 2023;17:1231513.","journal-title":"Front Hum Neurosci"},{"issue":"3","key":"632_CR15","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1111\/jmi.12330","volume":"261","author":"M Stankovic","year":"2016","unstructured":"Stankovic M, Pantic I, De Luka SR, Puskas N, Zaletel I, Milutinovic-Smiljanic S, et al. Quantification of structural changes in acute inflammation by fractal dimension, angular second moment and correlation. J Microsc. 2016;261(3):277\u201384.","journal-title":"J Microsc"},{"issue":"5","key":"632_CR16","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1007\/s11682-017-9784-x","volume":"12","author":"R Sheelakumari","year":"2018","unstructured":"Sheelakumari R, Venkateswaran R, Chandran A, Varghese T, Zhang L, Yue GH, et al. Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis. Brain Imaging Behav. 2018;12(5):1221\u20138.","journal-title":"Brain Imaging Behav"},{"issue":"4","key":"632_CR17","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.1002\/hbm.22283","volume":"35","author":"I Nenadic","year":"2014","unstructured":"Nenadic I, Yotter RA, Sauer H, Gaser C. Cortical surface complexity in frontal and temporal areas varies across subgroups of schizophrenia. Hum Brain Mapp. 2014;35(4):1691\u20139.","journal-title":"Hum Brain Mapp"},{"issue":"5","key":"632_CR18","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1111\/ejn.13835","volume":"47","author":"CR Madan","year":"2018","unstructured":"Madan CR, Kensinger EA. Predicting age from cortical structure across the lifespan. Eur J Neurosci. 2018;47(5):399\u2013416.","journal-title":"Eur J Neurosci"},{"issue":"11","key":"632_CR19","doi-asserted-by":"publisher","first-page":"3299","DOI":"10.1002\/hbm.24599","volume":"40","author":"S Krohn","year":"2019","unstructured":"Krohn S, Froeling M, Leemans A, Ostwald D, Villoslada P, Finke C, et al. Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple-acquisition MRI. Hum Brain Mapp. 2019;40(11):3299\u2013320.","journal-title":"Hum Brain Mapp"},{"key":"632_CR20","doi-asserted-by":"publisher","first-page":"116438","DOI":"10.1016\/j.neuroimage.2019.116438","volume":"208","author":"DM Hedderich","year":"2020","unstructured":"Hedderich DM, Bauml JG, Menegaux A, Avram M, Daamen M, Zimmer C, et al. An analysis of MRI derived cortical complexity in premature-born adults: regional patterns, risk factors, and potential significance. Neuroimage. 2020;208:116438.","journal-title":"Neuroimage"},{"issue":"9","key":"632_CR21","doi-asserted-by":"publisher","first-page":"5289","DOI":"10.1093\/cercor\/bhac417","volume":"33","author":"Y Chen","year":"2023","unstructured":"Chen Y, Zuo Y, Kang S, Pan L, Jiang S, Yan A, et al. Using fractal dimension analysis to assess the effects of normal aging and sex on subregional cortex alterations across the lifespan from a Chinese dataset. Cereb Cortex. 2023;33(9):5289\u201396.","journal-title":"Cereb Cortex"},{"key":"632_CR22","doi-asserted-by":"publisher","first-page":"1201617","DOI":"10.3389\/fphys.2023.1201617","volume":"14","author":"D Battalapalli","year":"2023","unstructured":"Battalapalli D, Vidyadharan S, Prabhakar Rao B, Yogeeswari P, Kesavadas C, Rajagopalan V. Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning. Front Physiol. 2023;14:1201617.","journal-title":"Front Physiol"},{"key":"632_CR23","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-3-031-47606-8_26","volume":"36","author":"OS Al-Kadi","year":"2024","unstructured":"Al-Kadi OS, Di Ieva A. Fractal-based analysis of histological features of brain tumors. Adv Neurobiol. 2024;36:501\u201324.","journal-title":"Adv Neurobiol"},{"issue":"1\u20132","key":"632_CR24","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.neulet.2005.04.078","volume":"384","author":"TH Ha","year":"2005","unstructured":"Ha TH, Yoon U, Lee KJ, Shin YW, Lee JM, Kim IY, et al. Fractal dimension of cerebral cortical surface in schizophrenia and obsessive-compulsive disorder. Neurosci Lett. 2005;384(1\u20132):172\u20136.","journal-title":"Neurosci Lett"},{"issue":"2","key":"632_CR25","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.compmedimag.2007.10.005","volume":"32","author":"AL Sandu","year":"2008","unstructured":"Sandu AL, Rasmussen IA Jr, Lundervold A, Kreuder F, Neckelmann G, Hugdahl K, et al. Fractal dimension analysis of MR images reveals grey matter structure irregularities in schizophrenia. Comput Med Imaging Graph. 2008;32(2):150\u20138.","journal-title":"Comput Med Imaging Graph"},{"key":"632_CR26","doi-asserted-by":"publisher","first-page":"101990","DOI":"10.1016\/j.nicl.2019.101990","volume":"24","author":"L Pantoni","year":"2019","unstructured":"Pantoni L, Marzi C, Poggesi A, Giorgio A, De Stefano N, Mascalchi M, et al. Fractal dimension of cerebral white matter: a consistent feature for prediction of the cognitive performance in patients with small vessel disease and mild cognitive impairment. Neuroimage Clin. 2019;24:101990.","journal-title":"Neuroimage Clin"},{"key":"632_CR27","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1016\/j.neuroimage.2014.06.054","volume":"100","author":"AL Sandu","year":"2014","unstructured":"Sandu AL, Staff RT, McNeil CJ, Mustafa N, Ahearn T, Whalley LJ, et al. Structural brain complexity and cognitive decline in late life\u2014a longitudinal study in the Aberdeen 1936 Birth Cohort. Neuroimage. 2014;100:558\u201363.","journal-title":"Neuroimage"},{"issue":"2","key":"632_CR28","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.neuroimage.2010.06.050","volume":"53","author":"RD King","year":"2010","unstructured":"King RD, Brown B, Hwang M, Jeon T, George AT. Alzheimer\u2019s disease neuroimaging I. Fractal dimension analysis of the cortical ribbon in mild Alzheimer\u2019s disease. Neuroimage. 2010;53(2):471\u20139.","journal-title":"Neuroimage"},{"issue":"7","key":"632_CR29","doi-asserted-by":"publisher","first-page":"e0196964","DOI":"10.1371\/journal.pone.0196964","volume":"13","author":"G Zhao","year":"2018","unstructured":"Zhao G, Walsh K, Long J, Gui W, Denisova K. Reduced structural complexity of the right cerebellar cortex in male children with autism spectrum disorder. PLoS ONE. 2018;13(7):e0196964.","journal-title":"PLoS ONE"},{"issue":"2","key":"632_CR30","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1097\/WNR.0000000000001864","volume":"34","author":"Y Chen","year":"2023","unstructured":"Chen Y, Luo J, Chen S, Lin Q, Kuang C, Rao Y, et al. Altered cortical gyrification, sulcal depth, and fractal dimension in the autism spectrum disorder comorbid attention-deficit\/hyperactivity disorder than the autism spectrum disorder. NeuroReport. 2023;34(2):93\u2013101.","journal-title":"NeuroReport"},{"issue":"13","key":"632_CR31","doi-asserted-by":"publisher","first-page":"110173","DOI":"10.1016\/j.celrep.2021.110173","volume":"37","author":"D Martins","year":"2021","unstructured":"Martins D, Giacomel A, Williams SCR, Turkheimer F, Dipasquale O, Veronese M, et al. Imaging transcriptomics: convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain. Cell Rep. 2021;37(13):110173.","journal-title":"Cell Rep"},{"issue":"7416","key":"632_CR32","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature. 2012;489(7416):391\u20139.","journal-title":"Nature"},{"key":"632_CR33","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.neuroimage.2019.01.011","volume":"189","author":"A Arnatkeviciute","year":"2019","unstructured":"Arnatkeviciute A, Fulcher BD, Fornito A. A practical guide to linking brain-wide gene expression and neuroimaging data. Neuroimage. 2019;189:353\u201367.","journal-title":"Neuroimage"},{"issue":"32","key":"632_CR34","doi-asserted-by":"publisher","first-page":"9105","DOI":"10.1073\/pnas.1601745113","volume":"113","author":"KJ Whitaker","year":"2016","unstructured":"Whitaker KJ, Vertes PE, Romero-Garcia R, Vasa F, Moutoussis M, Prabhu G, et al. Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome. Proc Natl Acad Sci USA. 2016;113(32):9105\u201310.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"7","key":"632_CR35","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1038\/s41380-018-0023-7","volume":"24","author":"R Romero-Garcia","year":"2019","unstructured":"Romero-Garcia R, Warrier V, Bullmore ET, Baron-Cohen S, Bethlehem RAI. Synaptic and transcriptionally downregulated genes are associated with cortical thickness differences in autism. Mol Psychiatry. 2019;24(7):1053\u201364.","journal-title":"Mol Psychiatry"},{"key":"632_CR36","doi-asserted-by":"crossref","unstructured":"Dear R, Wagstyl K, Seidlitz J, Markello RD, Arnatkeviciute A, Anderson KM, et al. Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics and genetics of autism and schizophrenia. Nat Neurosci. 2024;27(6):1075\u20131086.","DOI":"10.1038\/s41593-024-01624-4"},{"issue":"19","key":"632_CR37","doi-asserted-by":"publisher","first-page":"9604","DOI":"10.1073\/pnas.1820754116","volume":"116","author":"SE Morgan","year":"2019","unstructured":"Morgan SE, Seidlitz J, Whitaker KJ, Romero-Garcia R, Clifton NE, Scarpazza C, et al. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proc Natl Acad Sci USA. 2019;116(19):9604\u20139.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"6","key":"632_CR38","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1038\/mp.2013.78","volume":"19","author":"A Di Martino","year":"2014","unstructured":"Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry. 2014;19(6):659\u201367.","journal-title":"Mol Psychiatry"},{"key":"632_CR39","doi-asserted-by":"publisher","first-page":"170010","DOI":"10.1038\/sdata.2017.10","volume":"4","author":"A Di Martino","year":"2017","unstructured":"Di Martino A, O\u2019Connor D, Chen B, Alaerts K, Anderson JS, Assaf M, et al. Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Sci Data. 2017;4:170010.","journal-title":"Sci Data"},{"issue":"1","key":"632_CR40","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","volume":"38","author":"J Ashburner","year":"2007","unstructured":"Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage. 2007;38(1):95\u2013113.","journal-title":"Neuroimage"},{"key":"632_CR41","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.neuroimage.2012.09.050","volume":"65","author":"R Dahnke","year":"2013","unstructured":"Dahnke R, Yotter RA, Gaser C. Cortical thickness and central surface estimation. Neuroimage. 2013;65:336\u201348.","journal-title":"Neuroimage"},{"issue":"9","key":"632_CR42","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","volume":"28","author":"A Schaefer","year":"2018","unstructured":"Schaefer A, Kong R, Gordon EM, Laumann TO, Zuo XN, Holmes AJ, et al. Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cereb Cortex. 2018;28(9):3095\u2013114.","journal-title":"Cereb Cortex"},{"key":"632_CR43","doi-asserted-by":"crossref","unstructured":"Gaser C, Dahnke R, Thompson PM, Kurth F, Luders E, The Alzheimer's disease neuroimaging I. CAT: a computational anatomy toolbox for the analysis of structural MRI data. Gigascience. 2024;13:1\u201313.","DOI":"10.1093\/gigascience\/giae049"},{"issue":"4","key":"632_CR44","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1136\/ebmental-2019-300117","volume":"22","author":"S Balduzzi","year":"2019","unstructured":"Balduzzi S, Rucker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019;22(4):153\u201360.","journal-title":"Evid Based Ment Health"},{"issue":"1","key":"632_CR45","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1038\/s41467-019-09234-6","volume":"10","author":"Y Zhou","year":"2019","unstructured":"Zhou Y, Zhou B, Pache L, Chang M, Khodabakhshi AH, Tanaseichuk O, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun. 2019;10(1):1523.","journal-title":"Nat Commun"},{"issue":"1","key":"632_CR46","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25(1):25\u20139.","journal-title":"Nat Genet"},{"issue":"1","key":"632_CR47","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28(1):27\u201330.","journal-title":"Nucleic Acids Res"},{"issue":"4","key":"632_CR48","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1523\/JNEUROSCI.4488-13.2014","volume":"34","author":"X Xu","year":"2014","unstructured":"Xu X, Wells AB, O\u2019Brien DR, Nehorai A, Dougherty JD. Cell type-specific expression analysis to identify putative cellular mechanisms for neurogenetic disorders. J Neurosci. 2014;34(4):1420\u201331.","journal-title":"J Neurosci"},{"issue":"13","key":"632_CR49","doi-asserted-by":"publisher","first-page":"4218","DOI":"10.1093\/nar\/gkq130","volume":"38","author":"JD Dougherty","year":"2010","unstructured":"Dougherty JD, Schmidt EF, Nakajima M, Heintz N. Analytical approaches to RNA profiling data for the identification of genes enriched in specific cells. Nucleic Acids Res. 2010;38(13):4218\u201330.","journal-title":"Nucleic Acids Res"},{"issue":"11","key":"632_CR50","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1093\/bioinformatics\/bty890","volume":"35","author":"A Jain","year":"2019","unstructured":"Jain A, Tuteja G. TissueEnrich: tissue-specific gene enrichment analysis. Bioinformatics. 2019;35(11):1966\u20137.","journal-title":"Bioinformatics"},{"issue":"D1","key":"632_CR51","doi-asserted-by":"publisher","first-page":"D607","DOI":"10.1093\/nar\/gky1131","volume":"47","author":"D Szklarczyk","year":"2019","unstructured":"Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein\u2013protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607\u201313.","journal-title":"Nucleic Acids Res"},{"issue":"Pt 2","key":"632_CR52","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1093\/brain\/awp306","volume":"133","author":"MV Lombardo","year":"2010","unstructured":"Lombardo MV, Chakrabarti B, Bullmore ET, Sadek SA, Pasco G, Wheelwright SJ, et al. Atypical neural self-representation in autism. Brain. 2010;133(Pt 2):611\u201324.","journal-title":"Brain"},{"key":"632_CR53","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1016\/j.jpsychires.2023.06.032","volume":"164","author":"LL Lott-Sandkamp","year":"2023","unstructured":"Lott-Sandkamp LL, Spengler FB, Heinrichs M. Impairment in reading negative social cues extends beyond the face in autism. J Psychiatr Res. 2023;164:350\u20136.","journal-title":"J Psychiatr Res"},{"issue":"11","key":"632_CR54","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1038\/nrn.2017.112","volume":"18","author":"CE Robertson","year":"2017","unstructured":"Robertson CE, Baron-Cohen S. Sensory perception in autism. Nat Rev Neurosci. 2017;18(11):671\u201384.","journal-title":"Nat Rev Neurosci"},{"key":"632_CR55","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1146\/annurev-vision-093020-035217","volume":"8","author":"BS Hadad","year":"2022","unstructured":"Hadad BS, Yashar A. Sensory perception in autism: what can we learn? Annu Rev Vis Sci. 2022;8:239\u201364.","journal-title":"Annu Rev Vis Sci"},{"issue":"4","key":"632_CR56","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1097\/WNP.0000000000000377","volume":"34","author":"LQ Uddin","year":"2017","unstructured":"Uddin LQ, Nomi JS, Hebert-Seropian B, Ghaziri J, Boucher O. Structure and function of the human insula. J Clin Neurophysiol. 2017;34(4):300\u20136.","journal-title":"J Clin Neurophysiol"},{"issue":"4","key":"632_CR57","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.biopsych.2018.01.015","volume":"84","author":"J Hogeveen","year":"2018","unstructured":"Hogeveen J, Krug MK, Elliott MV, Solomon M. Insula-retrosplenial cortex overconnectivity increases internalizing via reduced insight in autism. Biol Psychiatry. 2018;84(4):287\u201394.","journal-title":"Biol Psychiatry"},{"issue":"10","key":"632_CR58","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1111\/jcpp.12792","volume":"58","author":"Z Hopkins","year":"2017","unstructured":"Hopkins Z, Yuill N, Branigan HP. Inhibitory control and lexical alignment in children with an autism spectrum disorder. J Child Psychol Psychiatry. 2017;58(10):1155\u201365.","journal-title":"J Child Psychol Psychiatry"},{"issue":"4","key":"632_CR59","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1055\/s-0039-1692964","volume":"40","author":"L Friedman","year":"2019","unstructured":"Friedman L, Sterling A. A review of language, executive function, and intervention in autism spectrum disorder. Semin Speech Lang. 2019;40(4):291\u2013304.","journal-title":"Semin Speech Lang"},{"issue":"11","key":"632_CR60","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1111\/j.1469-7610.2010.02257.x","volume":"51","author":"B Keehn","year":"2010","unstructured":"Keehn B, Lincoln AJ, Muller RA, Townsend J. Attentional networks in children and adolescents with autism spectrum disorder. J Child Psychol Psychiatry. 2010;51(11):1251\u20139.","journal-title":"J Child Psychol Psychiatry"},{"issue":"8","key":"632_CR61","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1007\/s10802-017-0394-2","volume":"46","author":"SL Karalunas","year":"2018","unstructured":"Karalunas SL, Hawkey E, Gustafsson H, Miller M, Langhorst M, Cordova M, et al. Overlapping and distinct cognitive impairments in attention-deficit\/hyperactivity and autism spectrum disorder without intellectual disability. J Abnorm Child Psychol. 2018;46(8):1705\u201316.","journal-title":"J Abnorm Child Psychol"},{"issue":"1","key":"632_CR62","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.conb.2007.01.009","volume":"17","author":"DH Geschwind","year":"2007","unstructured":"Geschwind DH, Levitt P. Autism spectrum disorders: developmental disconnection syndromes. Curr Opin Neurobiol. 2007;17(1):103\u201311.","journal-title":"Curr Opin Neurobiol"},{"issue":"7633","key":"632_CR63","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1038\/nature20612","volume":"540","author":"NN Parikshak","year":"2016","unstructured":"Parikshak NN, Swarup V, Belgard TG, Irimia M, Ramaswami G, Gandal MJ, et al. Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism. Nature. 2016;540(7633):423\u20137.","journal-title":"Nature"},{"key":"632_CR64","doi-asserted-by":"publisher","first-page":"609","DOI":"10.3389\/fnhum.2013.00609","volume":"7","author":"B Zikopoulos","year":"2013","unstructured":"Zikopoulos B, Barbas H. Altered neural connectivity in excitatory and inhibitory cortical circuits in autism. Front Hum Neurosci. 2013;7:609.","journal-title":"Front Hum Neurosci"},{"issue":"5","key":"632_CR65","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1002\/aur.1243","volume":"5","author":"BG Travers","year":"2012","unstructured":"Travers BG, Adluru N, Ennis C, Tromp do PM, Destiche D, Doran S, et al. Diffusion tensor imaging in autism spectrum disorder: a review. Autism Res. 2012;5(5):289\u2013313.","journal-title":"Autism Res"},{"issue":"6614","key":"632_CR66","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1038\/385313a0","volume":"385","author":"DC Van Essen","year":"1997","unstructured":"Van Essen DC. A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature. 1997;385(6614):313\u20138.","journal-title":"Nature"},{"issue":"1\u20132","key":"632_CR67","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.jns.2008.12.023","volume":"282","author":"FJ Esteban","year":"2009","unstructured":"Esteban FJ, Sepulcre J, de Miras JR, Navas J, de Mendizabal NV, Goni J, et al. Fractal dimension analysis of grey matter in multiple sclerosis. J Neurol Sci. 2009;282(1\u20132):67\u201371.","journal-title":"J Neurol Sci"},{"issue":"11","key":"632_CR68","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1016\/S1474-4422(15)00050-2","volume":"14","author":"C Ecker","year":"2015","unstructured":"Ecker C, Bookheimer SY, Murphy DG. Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan. Lancet Neurol. 2015;14(11):1121\u201334.","journal-title":"Lancet Neurol"},{"issue":"1","key":"632_CR69","doi-asserted-by":"publisher","first-page":"331","DOI":"10.3233\/JAD-200246","volume":"76","author":"N Nicastro","year":"2020","unstructured":"Nicastro N, Malpetti M, Cope TE, Bevan-Jones WR, Mak E, Passamonti L, et al. Cortical complexity analyses and their cognitive correlate in Alzheimer\u2019s disease and frontotemporal dementia. J Alzheimers Dis. 2020;76(1):331\u201340.","journal-title":"J Alzheimers Dis"},{"issue":"6301","key":"632_CR70","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1126\/science.aag3194","volume":"353","author":"ML Estes","year":"2016","unstructured":"Estes ML, McAllister AK. Maternal immune activation: Implications for neuropsychiatric disorders. Science. 2016;353(6301):772\u20137.","journal-title":"Science"},{"issue":"R1","key":"632_CR71","doi-asserted-by":"publisher","first-page":"R24","DOI":"10.1093\/hmg\/ddv273","volume":"24","author":"S De Rubeis","year":"2015","unstructured":"De Rubeis S, Buxbaum JD. Genetics and genomics of autism spectrum disorder: embracing complexity. Hum Mol Genet. 2015;24(R1):R24-31.","journal-title":"Hum Mol Genet"},{"issue":"3","key":"632_CR72","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1038\/s41588-019-0344-8","volume":"51","author":"J Grove","year":"2019","unstructured":"Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019;51(3):431\u201344.","journal-title":"Nat Genet"},{"issue":"33","key":"632_CR73","doi-asserted-by":"publisher","first-page":"13764","DOI":"10.1073\/pnas.1111093108","volume":"108","author":"M Etherton","year":"2011","unstructured":"Etherton M, Foldy C, Sharma M, Tabuchi K, Liu X, Shamloo M, et al. Autism-linked neuroligin-3 R451C mutation differentially alters hippocampal and cortical synaptic function. Proc Natl Acad Sci USA. 2011;108(33):13764\u20139.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"632_CR74","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1016\/j.cell.2019.12.036","volume":"180","author":"FK Satterstrom","year":"2020","unstructured":"Satterstrom FK, Kosmicki JA, Wang J, Breen MS, De-Rubeis S, An JY, et al. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell. 2020;180(3):568-84 e23.","journal-title":"Cell"},{"issue":"9","key":"632_CR75","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1038\/nrn3992","volume":"16","author":"T Bourgeron","year":"2015","unstructured":"Bourgeron T. From the genetic architecture to synaptic plasticity in autism spectrum disorder. Nat Rev Neurosci. 2015;16(9):551\u201363.","journal-title":"Nat Rev Neurosci"},{"issue":"6","key":"632_CR76","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1016\/j.neuron.2019.02.041","volume":"101","author":"C Bagni","year":"2019","unstructured":"Bagni C, Zukin RS. A Synaptic Perspective of Fragile X Syndrome and Autism Spectrum Disorders. Neuron. 2019;101(6):1070\u201388.","journal-title":"Neuron"},{"issue":"11","key":"632_CR77","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1016\/S1474-4422(15)00044-7","volume":"14","author":"DH Geschwind","year":"2015","unstructured":"Geschwind DH, State MW. Gene hunting in autism spectrum disorder: on the path to precision medicine. Lancet Neurol. 2015;14(11):1109\u201320.","journal-title":"Lancet Neurol"},{"key":"632_CR78","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/bs.pmbts.2020.04.013","volume":"173","author":"G Steinman","year":"2020","unstructured":"Steinman G. The putative etiology and prevention of autism. Prog Mol Biol Transl Sci. 2020;173:1\u201334.","journal-title":"Prog Mol Biol Transl Sci"},{"issue":"3","key":"632_CR79","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1038\/mp.2010.136","volume":"17","author":"DA Rossignol","year":"2012","unstructured":"Rossignol DA, Frye RE. Mitochondrial dysfunction in autism spectrum disorders: a systematic review and meta-analysis. Mol Psychiatry. 2012;17(3):290\u2013314.","journal-title":"Mol Psychiatry"},{"issue":"11","key":"632_CR80","doi-asserted-by":"publisher","first-page":"2125","DOI":"10.1002\/aur.3029","volume":"16","author":"K Nickel","year":"2023","unstructured":"Nickel K, Menke M, Endres D, Runge K, Tucci S, Schumann A, et al. Altered markers of mitochondrial function in adults with autism spectrum disorder. Autism Res. 2023;16(11):2125\u201338.","journal-title":"Autism Res"},{"issue":"2","key":"632_CR81","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1038\/s41580-021-00415-0","volume":"23","author":"I Vercellino","year":"2022","unstructured":"Vercellino I, Sazanov LA. The assembly, regulation and function of the mitochondrial respiratory chain. Nat Rev Mol Cell Biol. 2022;23(2):141\u201361.","journal-title":"Nat Rev Mol Cell Biol"},{"key":"632_CR82","doi-asserted-by":"crossref","unstructured":"Wang J, Rappold GA, Frohlich H. Disrupted mitochondrial network drives deficits of learning and memory in a mouse model of FOXP1 haploinsufficiency. Genes (Basel). 2022;13(1):127.","DOI":"10.3390\/genes13010127"},{"key":"632_CR83","doi-asserted-by":"publisher","first-page":"682","DOI":"10.3389\/fgene.2019.00682","volume":"10","author":"A Hoffmann","year":"2019","unstructured":"Hoffmann A, Spengler D. Chromatin remodeling complex NuRD in neurodevelopment and neurodevelopmental disorders. Front Genet. 2019;10:682.","journal-title":"Front Genet"},{"key":"632_CR84","doi-asserted-by":"crossref","unstructured":"Gulmez Karaca K, Brito DVC, Oliveira AMM. MeCP2: a critical regulator of chromatin in neurodevelopment and adult brain function. Int J Mol Sci. 2019;20(18):4577.","DOI":"10.3390\/ijms20184577"},{"issue":"7","key":"632_CR85","doi-asserted-by":"publisher","first-page":"e0008221","DOI":"10.1128\/MCB.00082-21","volume":"41","author":"S Banday","year":"2021","unstructured":"Banday S, Pandita RK, Mushtaq A, Bacolla A, Mir US, Singh DK, et al. Autism-associated vigilin depletion impairs DNA damage repair. Mol Cell Biol. 2021;41(7):e0008221.","journal-title":"Mol Cell Biol"},{"issue":"1","key":"632_CR86","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s10803-011-1214-0","volume":"42","author":"EG Spratt","year":"2012","unstructured":"Spratt EG, Nicholas JS, Brady KT, Carpenter LA, Hatcher CR, Meekins KA, et al. Enhanced cortisol response to stress in children in autism. J Autism Dev Disord. 2012;42(1):75\u201381.","journal-title":"J Autism Dev Disord"}],"container-title":["Molecular Autism"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13229-024-00632-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13229-024-00632-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13229-024-00632-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T11:03:25Z","timestamp":1760699005000},"score":1,"resource":{"primary":{"URL":"https:\/\/molecularautism.biomedcentral.com\/articles\/10.1186\/s13229-024-00632-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,6]]},"references-count":86,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["632"],"URL":"https:\/\/doi.org\/10.1186\/s13229-024-00632-2","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4911908\/v1","asserted-by":"object"},{"id-type":"doi","id":"10.1101\/2024.07.28.605533","asserted-by":"object"}]},"ISSN":["2040-2392"],"issn-type":[{"value":"2040-2392","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,6]]},"assertion":[{"value":"14 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2025","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Update","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The Funding section has been updated.","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1"}}