{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T17:25:20Z","timestamp":1787592320326,"version":"build-2736575974"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,9,8]],"date-time":"2023-09-08T00:00:00Z","timestamp":1694131200000},"content-version":"vor","delay-in-days":250,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"STI2030-Major Projects","award":["2022ZD0213300"],"award-info":[{"award-number":["2022ZD0213300"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"STI2030-Major Projects","award":["2022ZD0213300"],"award-info":[{"award-number":["2022ZD0213300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81471732"],"award-info":[{"award-number":["81471732"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81671761"],"award-info":[{"award-number":["81671761"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2017XTCX04"],"award-info":[{"award-number":["2017XTCX04"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning","award":["CNLZD2101"],"award-info":[{"award-number":["CNLZD2101"]}]},{"name":"Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning","award":["CNLYB2001"],"award-info":[{"award-number":["CNLYB2001"]}]},{"name":"Alzheimer\u2019s Research UK Senior Research Fellowship","award":["ARUK-SRF2017B-1"],"award-info":[{"award-number":["ARUK-SRF2017B-1"]}]},{"DOI":"10.13039\/501100022572","name":"NIHR Sheffield Biomedical Research Centre","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100022572","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,31]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Genetic risk factors such as APOE \u03b54 and MAPT (rs242557) A allele are associated with amyloid and tau pathways and grey matter changes at both early and established stages of Alzheimer\u2019s disease, but their effects on cortical morphology in young healthy adults remain unclear. A total of 144 participants aged from 18 to 24 underwent 3T MRI and genotyping for APOE and MAPT to investigate unique impacts of these genetic risk factors in a cohort without significant comorbid conditions such as metabolic and cardiovascular diseases. We segmented the cerebral cortex into 68 regions and calculated the cortical area, thickness, curvature and folding index for each region. Then, we trained machine learning models to classify APOE and MAPT genotypes using these morphological features. In addition, we applied a growing hierarchical self-organizing maps algorithm, which clustered the 68 regions into 4 subgroups representing different morphological patterns. Then, we performed general linear model analyses to estimate the interaction between APOE and MAPT on cortical patterns. We found that the classifiers using all cortical features could accurately classify individuals carrying genetic risks of dementia outperforming each individual feature alone. APOE \u03b54 carriers had a more convoluted and thinner cortex across the cerebral cortex. A similar pattern was found in MAPT A allele carriers only in the regions that are vulnerable for early tau pathology. With the clustering analysis, we found a synergetic effect between APOE \u03b54 and MAPT A allele, i.e. carriers of both risk factors showed the most deviation of cortical pattern from the typical pattern of that cluster. Genetic risk factors of dementia by APOE \u03b54 and MAPT (rs242557) A allele were associated with variations of cortical morphology, which can be observed in young healthy adults more than 30 years before Alzheimer\u2019s pathology is likely to occur and 50 years before dementia symptoms may begin.<\/jats:p>","DOI":"10.1093\/braincomms\/fcad234","type":"journal-article","created":{"date-parts":[[2023,9,8]],"date-time":"2023-09-08T15:59:22Z","timestamp":1694188762000},"source":"Crossref","is-referenced-by-count":13,"title":["Genetic risks of Alzheimer\u2019s by <i>APOE<\/i> and <i>MAPT<\/i> on cortical morphology in young healthy adults"],"prefix":"10.1093","volume":"5","author":[{"given":"Weijie","family":"Huang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University , Beijing 100875 , China"},{"name":"Department of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield , Sheffield S10 2HQ , UK"},{"name":"School of Systems Science, Beijing Normal University , Beijing 100875 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Zeng","sequence":"additional","affiliation":[{"name":"Faculty of Psychology, Sino-Britain Centre for Cognition and Ageing Research, Southwest University , Chongqing 400715 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Jia","sequence":"additional","affiliation":[{"name":"Beijing Anding Hospital, Capital Medical University , Beijing 100088 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dajiang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Texas at Arlington , Arlington, TX 76019 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0837-5080","authenticated-orcid":false,"given":"John","family":"O\u2019Brien","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, School of Clinical Medicine, University of Cambridge , Cambridge CB2 0SZ , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Craig","family":"Ritchie","sequence":"additional","affiliation":[{"name":"Edinburgh Dementia Prevention and Centre for Clinical Brain Sciences, Edinburgh Medical School, University of Edinburgh , Edinburgh EH4 2XU , UK"},{"name":"Scottish Brain Sciences , Edinburgh EH12 9DQ , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ni","family":"Shu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University , Beijing 100875 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield , Sheffield S10 2HQ , UK"},{"name":"Department of Psychiatry, School of Clinical Medicine, University of Cambridge , Cambridge CB2 0SZ , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,9,8]]},"reference":[{"issue":"4","key":"2023101118340282900_fcad234-B1","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA research framework: Toward a biological definition of Alzheimer\u2019s disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimers Dement"},{"issue":"89","key":"2023101118340282900_fcad234-B2","doi-asserted-by":"crossref","first-page":"89ra57","DOI":"10.1126\/scitranslmed.3002156","article-title":"Human apoE isoforms differentially regulate brain amyloid-\u03b2 peptide clearance","volume":"3","author":"Castellano","year":"2011","journal-title":"Sci Transl Med"},{"issue":"6","key":"2023101118340282900_fcad234-B3","doi-asserted-by":"crossref","first-page":"2892","DOI":"10.1073\/pnas.050004797","article-title":"Apolipoprotein E isoform-dependent amyloid deposition and neuritic degeneration in a mouse model of Alzheimer\u2019s disease","volume":"97","author":"Holtzman","year":"2000","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"5","key":"2023101118340282900_fcad234-B4","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1038\/sj.mp.4001935","article-title":"Fine mapping of the MAPT locus using quantitative trait analysis identifies possible causal variants in Alzheimer\u2019s disease","volume":"12","author":"Laws","year":"2007","journal-title":"Mol Psychiatry"},{"issue":"7","key":"2023101118340282900_fcad234-B5","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1212\/WNL.0000000000003615","article-title":"Genome-wide association study identifies MAPT locus influencing human plasma tau levels","volume":"88","author":"Chen","year":"2017","journal-title":"Neurology"},{"issue":"7","key":"2023101118340282900_fcad234-B6","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1038\/ng.859","article-title":"Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy","volume":"43","author":"H\u00f6glinger","year":"2011","journal-title":"Nat Genet"},{"issue":"5","key":"2023101118340282900_fcad234-B7","doi-asserted-by":"crossref","first-page":"1519.e13","DOI":"10.1016\/j.neurobiolaging.2012.10.004","article-title":"An exploratory study on STX6, MOBP, MAPT, and EIF2AK3 and late-onset Alzheimer\u2019s disease","volume":"34","author":"Liu","year":"2013","journal-title":"Neurobiol Aging."},{"issue":"1","key":"2023101118340282900_fcad234-B8","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s13024-020-00395-3","article-title":"Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer\u2019s disease","volume":"15","author":"Wang","year":"2020","journal-title":"Mol Neurodegeneration"},{"issue":"9","key":"2023101118340282900_fcad234-B9","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1017\/S0033291711000067","article-title":"Interaction effects of subjective memory impairment and ApoE4 genotype on episodic memory and hippocampal volume","volume":"41","author":"Striepens","year":"2011","journal-title":"Psychol Med."},{"issue":"1","key":"2023101118340282900_fcad234-B10","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1186\/s13195-019-0505-0","article-title":"Anxiety correlates with cortical surface area in subjective cognitive decline: APOE \u03b54 carriers versus APOE \u03b54 non-carriers","volume":"11","author":"Sun","year":"2019","journal-title":"Alzheimers Res Ther"},{"issue":"4","key":"2023101118340282900_fcad234-B11","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.3233\/JAD-2012-121174","article-title":"Selective brain gray matter atrophy associated with APOE \u03b54 and MAPT H1 in subjects with mild cognitive impairment","volume":"33","author":"Go\u00f1i","year":"2013","journal-title":"J Alzheimers Dis"},{"issue":"50","key":"2023101118340282900_fcad234-B12","doi-asserted-by":"crossref","first-page":"15462","DOI":"10.1073\/pnas.1508831112","article-title":"Development and aging of cortical thickness correspond to genetic organization patterns","volume":"112","author":"Fjell","year":"2015","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"11","key":"2023101118340282900_fcad234-B13","doi-asserted-by":"crossref","first-page":"e48895","DOI":"10.1371\/journal.pone.0048895","article-title":"Reduced hippocampal volume in healthy young ApoE4 carriers: An MRI study","volume":"7","author":"O\u2019Dwyer","year":"2012","journal-title":"PLoS One"},{"issue":"6","key":"2023101118340282900_fcad234-B14","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/S1474-4422(07)70106-0","article-title":"Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: An observational study","volume":"6","author":"Shaw","year":"2007","journal-title":"Lancet Neurol"},{"issue":"1","key":"2023101118340282900_fcad234-B15","doi-asserted-by":"crossref","first-page":"37","DOI":"10.3233\/JAD-131841","article-title":"No differences in hippocampal volume between carriers and non-carriers of the ApoE \u03b54 and \u03b52 alleles in young healthy adolescents","volume":"40","author":"Khan","year":"2014","journal-title":"J Alzheimers Dis"},{"issue":"1","key":"2023101118340282900_fcad234-B16","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s11920-006-0076-1","article-title":"Imaging studies and APOE genotype in persons at risk for Alzheimer\u2019s disease","volume":"8","author":"Scarmeas","year":"2006","journal-title":"Curr Psychiatry Rep"},{"key":"2023101118340282900_fcad234-B17","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.bbr.2015.11.006","article-title":"Apolipoprotein E \u025b4 is positively related to spatial performance but unrelated to hippocampal volume in healthy young adults","volume":"299","author":"Stening","year":"2016","journal-title":"Behav Brain Res."},{"key":"2023101118340282900_fcad234-B18","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.bbr.2017.03.013","article-title":"Specific patterns of whole-brain structural covariance of the anterior and posterior hippocampus in young APOE \u03b54 carriers","volume":"326","author":"Stening","year":"2017","journal-title":"Behav Brain Res."},{"key":"2023101118340282900_fcad234-B19","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/978-3-642-33454-2_36","volume-title":"Medical image computing and computer-assisted intervention\u2014MICCAI 2012. Lecture notes in computer science","author":"Cash","year":"2012"},{"issue":"9","key":"2023101118340282900_fcad234-B20","doi-asserted-by":"crossref","first-page":"5604","DOI":"10.3390\/ijms12095604","article-title":"Variable frequencies of apolipoprotein E genotypes and its effect on serum lipids in the Guangxi Zhuang and Han children","volume":"12","author":"Hu","year":"2011","journal-title":"Int J Mol Sci"},{"key":"2023101118340282900_fcad234-B21","first-page":"150628","article-title":"The association between apolipoprotein E gene polymorphism and mild cognitive impairment among different ethnic minority groups in China","volume":"2014","author":"Wang","year":"2014","journal-title":"Int J Alzheimers Dis"},{"issue":"4","key":"2023101118340282900_fcad234-B22","doi-asserted-by":"crossref","first-page":"409","DOI":"10.3181\/0709-RM-254","article-title":"Apolipoprotein E gene polymorphism and serum lipid levels in the Guangxi Hei Yi Zhuang and Han populations","volume":"233","author":"Yin","year":"2008","journal-title":"Exp Biol Med (Maywood)"},{"issue":"4","key":"2023101118340282900_fcad234-B23","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.neuroimage.2010.07.020","article-title":"Highly accurate inverse consistent registration: A robust approach","volume":"53","author":"Reuter","year":"2010","journal-title":"NeuroImage"},{"issue":"3","key":"2023101118340282900_fcad234-B24","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.neuroimage.2004.03.032","article-title":"A hybrid approach to the skull stripping problem in MRI","volume":"22","author":"Segonne","year":"2004","journal-title":"NeuroImage"},{"issue":"3","key":"2023101118340282900_fcad234-B25","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","article-title":"Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain","volume":"33","author":"Fischl","year":"2002","journal-title":"Neuron"},{"key":"2023101118340282900_fcad234-B26","doi-asserted-by":"crossref","first-page":"S69","DOI":"10.1016\/j.neuroimage.2004.07.016","article-title":"Sequence-independent segmentation of magnetic resonance images","volume":"23","author":"Fischl","year":"2004","journal-title":"NeuroImage"},{"issue":"1","key":"2023101118340282900_fcad234-B27","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/42.668698","article-title":"A nonparametric method for automatic correction of intensity nonuniformity in MRI data","volume":"17","author":"Sled","year":"1998","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"2023101118340282900_fcad234-B28","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/42.906426","article-title":"Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex","volume":"20","author":"Fischl","year":"2001","journal-title":"IEEE Trans Med Imaging"},{"issue":"4","key":"2023101118340282900_fcad234-B29","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1109\/TMI.2006.887364","article-title":"Geometrically accurate topology-correction of cortical surfaces using nonseparating loops","volume":"26","author":"Segonne","year":"2007","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"2023101118340282900_fcad234-B30","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis: I. Segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"NeuroImage"},{"issue":"2","key":"2023101118340282900_fcad234-B31","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1162\/jocn.1993.5.2.162","article-title":"Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach","volume":"5","author":"Dale","year":"1993","journal-title":"J Cogn Neurosci."},{"issue":"20","key":"2023101118340282900_fcad234-B32","doi-asserted-by":"crossref","first-page":"11050","DOI":"10.1073\/pnas.200033797","article-title":"Measuring the thickness of the human cerebral cortex from magnetic resonance images","volume":"97","author":"Fischl","year":"2000","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"2023101118340282900_fcad234-B33","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","article-title":"An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest","volume":"31","author":"Desikan","year":"2006","journal-title":"NeuroImage"},{"issue":"2","key":"2023101118340282900_fcad234-B34","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"NeuroImage"},{"key":"2023101118340282900_fcad234-B35","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1016\/j.neuroimage.2005.06.070","article-title":"Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data","volume":"28","author":"Mour\u00e3o-Miranda","year":"2005","journal-title":"NeuroImage"},{"key":"2023101118340282900_fcad234-B36","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neuroimage.2009.01.032","article-title":"Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction","volume":"46","author":"Sato","year":"2009","journal-title":"NeuroImage"},{"key":"2023101118340282900_fcad234-B37","author":"Ichimura"},{"issue":"2","key":"2023101118340282900_fcad234-B38","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1136\/jnnp-2017-315869","article-title":"Interaction between APOE-\u025b4 and HMGB1 is associated with widespread cortical thinning in mild cognitive impairment","volume":"89","author":"Foo","year":"2018","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"3","key":"2023101118340282900_fcad234-B39","doi-asserted-by":"crossref","first-page":"433","DOI":"10.3233\/JAD-2010-101398","article-title":"Apolipoprotein E genotype is associated with temporal and hippocampal atrophy rates in healthy elderly adults: A tensor-based morphometry study1","volume":"23","author":"Lu","year":"2011","journal-title":"J Alzheimers Dis."},{"issue":"7","key":"2023101118340282900_fcad234-B40","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1016\/j.jalz.2018.01.016","article-title":"Effects of APOE-\u03b54 allele load on brain morphology in a cohort of middle-aged healthy individuals with enriched genetic risk for Alzheimer\u2019s disease","volume":"14","author":"Cacciaglia","year":"2018","journal-title":"Alzheimers Dement"},{"issue":"s3","key":"2023101118340282900_fcad234-B41","doi-asserted-by":"crossref","first-page":"49","DOI":"10.3233\/JAD-2011-0002","article-title":"Presence of ApoE \u03b54 allele associated with thinner frontal Cortex in middle age","volume":"26","author":"Fennema-Notestine","year":"2011","journal-title":"J Alzheimers Dis"},{"issue":"4","key":"2023101118340282900_fcad234-B42","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s00401-006-0127-z","article-title":"Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry","volume":"112","author":"Braak","year":"2006","journal-title":"Acta Neuropathol"},{"issue":"6","key":"2023101118340282900_fcad234-B43","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1002\/hbm.23154","article-title":"Brain development during adolescence: A mixed-longitudinal investigation of cortical thickness, surface area, and volume","volume":"37","author":"Vijayakumar","year":"2016","journal-title":"Hum Brain Mapp."},{"key":"2023101118340282900_fcad234-B44","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1016\/j.neuroimage.2013.09.038","article-title":"Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents","volume":"84","author":"Burgaleta","year":"2014","journal-title":"NeuroImage"},{"issue":"8","key":"2023101118340282900_fcad234-B45","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1093\/cercor\/bhu027","article-title":"Dynamic development of regional cortical thickness and surface area in early childhood","volume":"25","author":"Lyall","year":"2015","journal-title":"Cereb. Cortex"},{"issue":"8","key":"2023101118340282900_fcad234-B46","doi-asserted-by":"crossref","first-page":"3653","DOI":"10.1007\/s00429-017-1424-0","article-title":"Healthy cortical development through adolescence and early adulthood","volume":"222","author":"Forde","year":"2017","journal-title":"Brain Struct Funct"},{"key":"2023101118340282900_fcad234-B47","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.neuroimage.2017.04.010","article-title":"Quantifying cortical development in typically developing toddlers and young children, 1\u20136 years of age","volume":"153","author":"Remer","year":"2017","journal-title":"NeuroImage"},{"key":"2023101118340282900_fcad234-B48","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.neuroimage.2015.10.010","article-title":"Trajectories of cortical thickness maturation in normal brain development\u2014The importance of quality control procedures","volume":"125","author":"Ducharme","year":"2016","journal-title":"NeuroImage"},{"issue":"9","key":"2023101118340282900_fcad234-B49","doi-asserted-by":"crossref","first-page":"2495","DOI":"10.1002\/hbm.24960","article-title":"Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults","volume":"41","author":"Yang","year":"2020","journal-title":"Hum Brain Mapp."},{"issue":"5","key":"2023101118340282900_fcad234-B50","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1162\/jocn.2010.21513","article-title":"Brain structure in young and old East Asians and Westerners: Comparisons of structural volume and cortical thickness","volume":"23","author":"Chee","year":"2011","journal-title":"J Cogn Neurosci."},{"issue":"38","key":"2023101118340282900_fcad234-B51","doi-asserted-by":"crossref","first-page":"8223","DOI":"10.1523\/JNEUROSCI.1798-04.2004","article-title":"Longitudinal mapping of cortical thickness and brain growth in normal children","volume":"24","author":"Sowell","year":"2004","journal-title":"J Neurosci"},{"issue":"1","key":"2023101118340282900_fcad234-B52","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s00429-011-0374-1","article-title":"The visual cortex in schizophrenia: Alterations of gyrification rather than cortical thickness\u2014A combined cortical shape analysis","volume":"218","author":"Schultz","year":"2013","journal-title":"Brain Struct Funct"},{"issue":"1","key":"2023101118340282900_fcad234-B53","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1093\/cercor\/bhn064","article-title":"Alterations in midline cortical thickness and gyrification patterns mapped in children with 22q11.2 deletions","volume":"19","author":"Bearden","year":"2009","journal-title":"Cereb. Cortex"},{"issue":"12","key":"2023101118340282900_fcad234-B54","doi-asserted-by":"crossref","first-page":"1462","DOI":"10.1177\/0883073810368311","article-title":"Cortical gyrification in autistic and asperger disorders: A preliminary magnetic resonance imaging study","volume":"25","author":"Jou","year":"2010","journal-title":"J Child Neurol"},{"issue":"1","key":"2023101118340282900_fcad234-B55","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neuroimage.2006.06.018","article-title":"Increased local gyrification mapped in Williams syndrome","volume":"33","author":"Gaser","year":"2006","journal-title":"NeuroImage"},{"issue":"5","key":"2023101118340282900_fcad234-B56","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.tins.2013.01.006","article-title":"Development of cortical folding during evolution and ontogeny","volume":"36","author":"Zilles","year":"2013","journal-title":"Trends Neurosci."},{"issue":"1","key":"2023101118340282900_fcad234-B57","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1093\/cercor\/5.1.56","article-title":"The ontogeny of human gyrification","volume":"5","author":"Armstrong","year":"1995","journal-title":"Cereb. Cortex"},{"issue":"7","key":"2023101118340282900_fcad234-B58","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.tins.2010.04.003","article-title":"The propagation of prion-like protein inclusions in neurodegenerative diseases","volume":"33","author":"Goedert","year":"2010","journal-title":"Trends Neurosci."},{"issue":"2","key":"2023101118340282900_fcad234-B59","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1023\/B:APIN.0000033632.42843.17","article-title":"Neural learning from unbalanced data","volume":"21","author":"Murphey","year":"2004","journal-title":"Appl Intell"}],"container-title":["Brain Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/braincomms\/article-pdf\/5\/5\/fcad234\/51506258\/fcad234.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/braincomms\/article-pdf\/5\/5\/fcad234\/51506258\/fcad234.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T23:31:06Z","timestamp":1697067066000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/braincomms\/article\/doi\/10.1093\/braincomms\/fcad234\/7264267"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":59,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,8,31]]}},"URL":"https:\/\/doi.org\/10.1093\/braincomms\/fcad234","relation":{},"ISSN":["2632-1297"],"issn-type":[{"value":"2632-1297","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023]]},"published":{"date-parts":[[2023]]},"article-number":"fcad234"}}