Longitudinal changes in cortical thickness in autism and typical development

R: A Language and Environment for Statistical Computing

R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893

Diagnostic and Statistical Manual of Mental Disorders

Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482

A new look at the statistical model identification

Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879

The assessment and analysis of handedness: The Edinburgh inventory

Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900

Diagnostic and Statistical Manual of Mental Disorders

(2012) · Springer eBooks · doi:10.1007/springerreference_121117 · Cited by 20,772

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324

Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders

Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065

Whole Brain Segmentation

Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610

The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism

Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520

Structure–function connectomics reveals aberrant left hemispheric developmental trajectory in autism spectrum disorder

Li, Z., Wang, B., Yang, L., Niu, Y., Luo, Q., & Zhao, S. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf130 · Cited by 3

SPHARM-Reg: Unsupervised Cortical Surface Registration Using Spherical Harmonics

Lee, S., Lee, S., Ryu, S., & Lyu, I. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3581605 · Cited by 2

236. Multi-Epigenome-Wide Analyses and Meta-Analysis of Child Maltreatment in Judicial Autopsies and Intervened Children and Adolescents

Tomoda, A., Nishitani, S., 藤澤, 隆., Takiguchi, S., Yao, A., kazuhiro, M., Hiraoka, D., Mizuno, Y., Ochiai, K., Kawata, N. Y. S., et al. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.03.470 · Cited by 2

Comments on Hughes JR. A review of recent reports on autism: 1000 studies published in 2007. Epilepsy & Behavior 2008;13:425–437 and Hughes JR. Update on autism: A review of 1300 reports published in 2008. Epilepsy & Behavior 2009;16:569–589.

Besag, F., & Blackmon, K. (2014) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2014.10.007 · Cited by 2

A Sorting Statistic with Application in Neurological Magnetic Resonance Imaging of Autism

Levman, J. E. D., Takahashi, E., Forgeron, C., MacDonald, P., Stewart, N., Lim, A., & Martel, A. L. (2018) · Journal of Healthcare Engineering · doi:10.1155/2018/8039075 · Cited by 3

Pannexin 1 regulates ventricular zone neuronal development

Wicki‐Stordeur, L. E. (2015) · UVic’s Research and Learning Repository (University of Victoria) · Cited by 2

Towards 3D Deep Learning for neuropsychiatry: predicting Autism diagnosis using an interpretable Deep Learning pipeline applied to minimally processed structural MRI dataPreprint

Garcia, M., & Kelly, C. A. M. (2022) · medRxiv · doi:10.1101/2022.10.18.22281196 · Cited by 2

Correspondence between morphological similarity of the left lateral orbitofrontal cortex and neurotransmitter systems in adolescent males with autism

Zhang, H., Li, J., Hou, C., Huang, Y., Ma, L., Xiong, B., Wang, J., & Weng, X. (2026) · General Psychiatry · doi:10.1002/gps3.70014 · Cited by 2

Volume-based and Surface-Based Methods in Autism compared with Healthy Controls; Are Freesurfer and CAT12 in Agreement?Preprint

Faraji, R., Ganji, Z., Khadem, Z., Akbari‐Lalimi, H., & Zare, H. (2022) · Research Square · doi:10.22037/ijcn.v18i1.43294 · Cited by 2

Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder

Yuan, X., Cheng, J., Zhao, F., Wu, Z., Wang, L., Lin, W., Zhang, Y., Liu, R., & Li, G. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3562003 · Cited by 1

Ultra-high resolution imaging of laminar thickness in face-selective cortex in autism

McGugin, R. W., Newton, A. T., Lewis, B. J., Convery, C. A., Eyoh, E. E., Gauthier, L., & Cascio, C. J. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01298-w · Cited by 1

Repositioning drugs for autism spectrum disorder: An integrated network analysis of blood and brain tissue key driver genes

Zhang, C., He, Q., Bennett, A. N., Pu, Y., Wang, T., & Chan, K. H. K. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.177963 · Cited by 1

Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes

Yoon, C. D., & Dean, D. C. (2025) · Autism Research · doi:10.1002/aur.70122 · Cited by 3

Integrated cortical-cognitive signatures identified by machine learning enable early detection of MCI in type 2 diabetes

Saluja, K. V., Balachandran, P., Pillai, D., Meena, D., Saxena, S., Khokhar, H., Khandelwal, G., Manoj, S., Chittora, S., & Bhadra, P. (2026) · Scientific Reports · doi:10.1038/s41598-026-44608-z · Cited by 1

Investigation of Cortical and Subcortical Brain Regional Volumes in Children with Autism Spectrum Disorder Using Automated Segmentation

Urhan, A. T., Sapmaz, H. İ., Güneysu, S., & Kökcü, F. (2026) · Medical Records · doi:10.37990/medr.1812558 · Cited by 1

A Developmental Neuroimmune Cascade Model of Autism Spectrum Disorder

Leisman, G., Melillo, R. J., & Alfasi, R. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27125185 · Cited by 1

Correlating single nucleotide polymorphisms in vitamin D metabolism-related genes to autism susceptibility and vitamin D treatment: study protocol of a non-randomized parallel-cohort controlled trial

Jia, F., Shan, L., Wang, B., & Hu, X. (2016) · Asia Pacific Clinical and Translational Nervous System Diseases · doi:10.4103/2455-7765.173011 · Cited by 1

Chapter 14 Brain network organization in ASD

Müller, R., & Carper, R. A. (2016) · CRC Press eBooks · doi:10.1201/9781315371375-15 · Cited by 1

Neuropsychology

Gordon, R. G., & Calamia, M. R. (2016) · Autism and child psychopathology series · doi:10.1007/978-3-319-27171-2_22 · Cited by 1

UMA REVISÃO SOBRE AS PRINCIPAIS ALTERAÇÕES NEUROANATÔMICAS ENCONTRADAS EM INDIVÍDUOS COM TRANSTORNO DO ESPECTRO AUTISTA (TEA)

Santos, L., Martins, L., Oliveira, M., Paffaro, T., Abreu, B., & Amaral, E. (2023) · Editora Científica Digital eBooks · doi:10.37885/230312523 · Cited by 1

Current and future applications of light-sheet imaging for identifying molecular and developmental processes in autism spectrum disorders

Soumier, A., Lio, G., & Demily, C. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02487-8 · Cited by 1

Autism Spectrum Disorder: A Cognitive Neuroscience Perspective

Townsend, J., Westerfield, M., & Chukoskie, L. (2019) · Springer eBooks · doi:10.1007/978-3-030-14895-9_12 · Cited by 1

Developmental and sex modulated neurological alterations in autism spectrum disorder

Azeez, A. (2019) · Cited by 1

Longitudinal Cortical Thinning in Adolescents With Autism: Good or Bad?

Botteron, K. N. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.03.017 · Cited by 1

Brain functional connectivity in regions that exhibit age-related cortical thinning

Vieira, B. H. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.59.2018.tde-17042018-130342 · Cited by 1

Cortical Thickness and Curvature in Autism and ADHD: A Mega-AnalysisPreprint

Mahmoudi, M., Moore, L. A., Lundquist, J. T., Stier, A., Anderson, M., Fayzullobekova, B., Hermosillo, R. J. M., Houghton, A., Madison, T. J., McCOLLUM, R. E., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.05.697782 · Cited by 1

Inflections in adolescent cortical maturation signal psychopathology riskPreprint

Clauss, J. A., Zhi, D., Perdomo, S. Á., Dear, R., Kunitoki, K., Hughes, D., Blum, A. T., Kane, K. A., Elyounssi, S., Cooper, B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.08.755024 · Cited by 1

Cortical thickness abnormalitiesassociatedwith dyslexia, independentof remediation status

Ma, Y., Koyama, M., Milham, M. P., Castellanos, F. X., Quinn, B. T., Pardoe, H., Wang, X. H., Kuzniecky, R., Devinsky, O., & Thesen, T. (2015)

Developing multidimensional metrics for evaluating paediatric neurodevelopmental disorders

Nakubulwa, M. A. (2016) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00028813

The effects of dietary omega-3 fatty acids on brain function are sex, age and brain-region specific

Feltham, B. A. (2015) · Memorial University Research Repository (Memorial University)

Executive Functioning Outcomes among Self- Harming Adolescents Receiving DBT-A

Smith, A. A. (2015) · The Scholars Repository - LLU (Loma Linda University)

Chapter 7 Structural magnetic resonance imaging of autism spectrum disorder

Chen, R. (2016) · CRC Press eBooks · doi:10.1201/9781315371375-8

Chapter 6 Neuroimaging biomarkers for autism spectrum disorder

Ecker, C., & Marquand, A. F. (2016) · CRC Press eBooks · doi:10.1201/9781315371375-7

Correlatos estructurales de las alteraciones cognitivas en niños con TEA

García, F. C. (2017) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · doi:10.6035/14023.2017.146230

Changes in thickness of cortex and its layers in the posterior lobe of the cerebellum in postnatal ontogenesis

Цехмистренко, Т. А., Клочкова, С. В., Mazloev, A., Nikityuk, D. B., & Obukhov, D. K. (2019) · Journal of Anatomy and Histopathology · doi:10.18499/2225-7357-2018-7-4-88-93

OTİZM SPEKTRUM BOZUKLUĞU VE BİLİŞSEL TEORİLER

Yarar, E. (2018) · Muhakeme Dergisi · doi:10.33817/muhakeme.410468

Autism human neural precursor cells exhibit common defects in neurite outgrowth, cell migration, and mTOR signaling

Prem, S. (2018) · doi:10.7282/t3-2ktw-qt73

Internal and External Attention in Autism Spectrum Disorder

Eilam‐Stock, T. (2019) · CUNY Academic Works (City University of New York)

Cerveau social et troubles du spectre de l'autisme : apports de l'imagerie cérébrale

Saitovitch, A., Rechtman, E., Vinçon-Leite, A., Brunelle, F., Zilbovicius, M., & Boddaert, N. (2019) · Time to knit · doi:10.1016/s0246-1072(19)81433-5

Sprachentwicklung und Gehirn

Bräuer, J. (2020) · Springer eBooks · doi:10.1007/978-3-662-60498-4_4

Developmental Changes in the Thickness of the Cortex and Its Layers in the Paramedian Lobule of the Cerebellum in Children

Цехмистренко, Т. А., Mazloev, A., & Obukhov, D. K. (2021) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-021-01102-5

Folic acid and brain function in childhood

Asindi, A. A., & Eyong, K. I. (2021) · Nigerian Journal of Paediatrics · doi:10.4314/njp.v48i2.5

Epilepsy and autism: How does age at seizure onset factor in?

Braun, C. M. J., & Elie-Fortier, J. (2021) · Journal of Epileptology · doi:10.21307/jepil-2021-002

Neuropsychological Considerations of Adolescents and Young Adults with High-Functioning Autism Spectrum Disorder for School Psychologists

Davis, A. S., Bernat, D. J., & Shetter, M. D. (2022) · Springer eBooks · doi:10.1007/978-3-030-93947-2_3

Faculty Opinions recommendation of The ASD Living Biology: from cell proliferation to clinical phenotype.

Ben‐Ari, Y. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733499087.793568939

Language and Social Regions Are Affected in Toddlers with Autism and Predict Later Language OutcomePreprint

Duan, K., Eyler, L. T., Pierce, K., Lombardo, M. V., Datko, M., Hagler, D. J., Taluja, V., Zahiri, J., Campbell, K. M., Barnes, C. C., et al. (2022) · medRxiv · doi:10.1101/2022.10.25.22281531

Longitudinale Veränderungen der Kortikalen Dicke von Adoleszent*innen mit Autismus-Spektrum-Störung und deren Assoziation mit Restriktiven und Repetitiven Verhaltensweisen

Bieneck, V. (2022) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · doi:10.21248/gups.70645

Variações Anatômicas: o avanço da ciência no Brasil

Aragão, J. A. (2023) · Editora Científica Digital eBooks · doi:10.37885/978-65-5360-310-3

The alleviative remedy effect of Dates’ fruit consumption on severity symptoms of Autism spectrum disorder: A randomized controlled three-month trialPreprint

Metwally, A. M., Raouf, E. R. A., Elsaied, A., Ashaat, E. A., El‐Saied, M. M., Elshaarawy, G. A., El-Din, E. M. S., El-Sonbaty, M. M., Hashish, A. F., Mehanna, N. S., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2909141/v1

Distinct Neurodevelopmental Patterns and Intermediate Integration-Based Predictive Modeling in Autism Spectral DisorderPreprint

Wang, Y., Ma, S., Ma, R., Xiao, L., Tang, S., Wei, Y., & Pan, Y. F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.26.546426

Subclinical structural atypicality of the retinal thickness and association with gray matter volume of the visual cortex in maltreated childrenPreprint

Yao, A., Nishitani, S., Yamada, Y., Oshima, H., Sugihara, Y., Makita, K., Takiguchi, S., Kawata, N. Y. S., Fujisawa, T. X., Okazawa, H., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3250307/v1

Gender Incongruence and Autistic Traits: Cerebral and Behavioral Underpinnings

Khorashad, B. S., Wang, Y., Holmberg, M., Dhejne, C., & Savic, I. (2024) · Archives of Sexual Behavior · doi:10.1007/s10508-024-02809-5 · Cited by 2

Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis

Cengiz, K., & Rekik, I. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1391950

Explainable classification of autism in children with a convolutional neural network

Martinez, G. C., Winder, A. J., Stanley, E. A. M., de Andrade, R. S., Wilms, M., Estes, M. L., MacEachern, S. J., & Forkert, N. D. (2025) · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications · doi:10.1117/12.3047066

Charting Brain Growth in Chinese Children with AutismPreprint

Duan, X., Li, L., Bai, M., Cai, K., Cao, D., Cao, X., Chen, J., Fan, X.-R., Gao, P., Gao, W., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6449170/v1

Characteristic parameter analysis of magnetic resonance diffusion tensor imaging in children with autism spectrum disorder: a retrospective study

Jia, Q., Wang, X., Li, X., Li, S., Wang, M., Wang, L., Ma, B., & Zhang, M. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-05771-w · Cited by 1

Cortical thickness variations and their relation to social and executive dysfunctions in autism spectrum disorder among an East Asian population: A longitudinal MRI study

Chang, J.-C., Chen, Y., & Gau, S. S. (2025) · Research in Autism · doi:10.1016/j.reia.2025.202689

Linking White-Matter Development to Clinical Variation in Autism: Longitudinal Normative Modelling of Fractional Anisotropy (FA) in the EU-AIMS LEAP CohortPreprint

Cîrstian, R., Forde, N. J., Bučková, B. R., Dell’Acqua, F., Charman, T., Loth, E., Oakley, B. F. M., Colomar, L., Yorke, I., Stones, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.25.690402

Additional file 1 of Common and distinct cortical thickness alterations in youth with autism spectrum disorder and attention-deficit/hyperactivity disorder

You, W., Li, Q., Chen, L., He, N., Li, Y., Long, F., Wang, Y., Chen, Y., McNamara, R. K., Sweeney, J. A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25333997

Additional file 1 of Reduced lateralization of multiple functional brain networks in autistic males

Peterson, M., Prigge, M. B. D., Floris, D. L., Bigler, E. D., Zielinski, B. A., King, J. B., LANGE, N. D., Alexander, A. L., Lainhart, J. E., & Nielsen, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.25779401

Additional file 1 of The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study

Durkut, M., Blok, E., Suleri, A., & White, T. (2022) · Figshare · doi:10.6084/m9.figshare.20236298

MGBF: Multi-GNNs Bridge Framework for Brain Diseases Classification via Information Sharing and Denoising

Zhang, J., Li, H., Lv, Z., Zhang, C., & Pei, S. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-5634-2_23

Atypical Olfactory Identification, Memory and Metacognition in Children With Autism Spectrum Disorder

Zhang, A., Peng, F., Lai, W., Qu, C., & Zou, L. (2026) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-026-07285-5

Alterations in self-related brain networks in autism spectrum disorder: a systematic review of functional and structural magnetic resonance imaging studies

Zhou, L., Han, J., Wu, H., Bao, H., Wang, J., & Qin, P. (2026) · Psychoradiology · doi:10.1093/psyrad/kkag011

Neuroanatomical patterns of dementia risk in autism spectrum disorder

Shin, Y. S., Wang, J., Pulver, S. L., Orlando, A., Romero, R. A. A., Cuomo, C. R., Lauzan, I. V., Dentry, T., Shirley, D. J., Christensen, D., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1771822

Characterization of the Ferret Neocortical Development using Structural Magnetic Resonnance Imaging

Foubet, O. (2018) · theses.fr (ABES) · doi:10.70675/8ea07177z61f0z4d55zb217z6e36e24aa4df

Etude moléculaire et fonctionnelle du gène PTCHD1 impliqué dans les troubles neurodéveloppementaux

Halewa, J. (2021) · theses.fr (ABES) · doi:10.70675/5232aa49z42a9z44a8za09azf5e649e6d60d

Roles of cytoskeleton-associated genes in radial migration and ASD during mouse neocortex development

He, X., & Liu, M. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111743

A graph convolutional network framework for ASD classification and model-level analysis of candidate ASD-related regions

Meng, L., Zhu, W., Gao, S., Keli, X., Li, Z., Wu, R., & Lin, X. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.110580

Brain aging patterns among nine neurological disorders: A case-control study

Liang, C., Pearlson, G. D., Bustillo, J., Kochunov, P., Chen, J., Zhang, X., Jiang, R., Hutchison, K. E., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Fu, Z., et al. (2026) · PLoS Medicine · doi:10.1371/journal.pmed.1004860

Volumetric brain alterations in children with primary complex motor stereotypies: a baseline and longitudinal report

Markiewicz, M. E., Crocetti, D., Mills, C. C., Augustine, F., Deronda, A. C., Mostofsky, S. H., & Singer, H. S. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1800595

Gut Microbiome Associations with Cingulate Cortex Structure and Autistic Symptom SeverityPreprint

Gau, S. S., Chang, J.-C., Lin, H.-T., & Chen, Y. (2026) · Research Square · doi:10.21203/rs.3.rs-10645410/v1

Anomalies in regional cortical morphology and associations with neurocognitive function in children with prenatal cannabis exposure and unexposed comparisons

Gimbel, B. A., Ontiveros, F., Mattson, W. I., Keim, S. A., Klebanoff, M. A., Boone, K. M., Yeates, K. O., Fried, P. A., & Nelson, E. E. (2026) · Discover Neuroscience · doi:10.1186/s13064-026-00327-9

Altered Morphometric Similarity Networks Are Associated with Symptom Heterogeneity in Preschool-Aged Children with Autism Spectrum DisorderPreprint

Chen, J., Guo, J., Zeng, Y., Xu, C., Wu, Z., Liu, B., Liu, Y., Hong, Q., Wang, H., Peng, Z., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10199816/v1

Enhanced Multi-Modal Assistive Technology System for Comprehensive Support of Children with Cognitive and Behavioural Disabilities

Janani, S., Vishalishree, E., Akshana Jeberson, G., Sathvik, T. S. S. V., & Blessy, A. M. C. (2026) · International Conference on Smart Communication and Sustainable Technologies (ICSCST) · doi:10.1109/icscst70031.2026.11709847

Age-related temporal and parietal cortical thinning in autism spectrum disorders

Wallace, G. L., Dankner, N., Kenworthy, L. E., Giedd, J. N., & Martin, A. D. (2010) · Brain · doi:10.1093/brain/awq279 · Cited by 262

Atypical age-related changes in cortical thickness in autism spectrum disorder

Nunes, A. S., Vakorin, V. A., Kozhemiako, N., Peatfield, N. A., Ribary, U., & Doesburg, S. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-67507-3 · Cited by 51

Development of cortical thickness and surface area in autism spectrum disorder

Mensen, V. T., Wierenga, L. M., van Dijk, S., Rijks, Y., Oranje, B., Mandl, R. C. W., & Durston, S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.003 · Cited by 88

Longitudinal cortical development during adolescence and young adulthood in autism spectrum disorder: increased cortical thinning but comparable surface area changes

Wallace, G. L., Eisenberg, I. W., Robustelli, B., Dankner, N., Kenworthy, L., Giedd, J. N., & Martin, A. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.03.007 · Cited by 85

A Preliminary Longitudinal Magnetic Resonance Imaging Study of Brain Volume and Cortical Thickness in Autism

Hardan, A. Y., Libove, R. A., Keshavan, M. S., Melhem, N. M., & Minshew, N. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.04.024 · Cited by 173