Abbas, S. Q., Chi, L., & Chen, Y.-P.P. (2023). DeepMNF: Deep multimodal neuroimaging framework for diagnosing autism spectrum disorder. Artificial Intelligence in Medicine, 136, 102475.

Article  PubMed  Google Scholar 

Abbott, A. E., Nair, A., Keown, C. L., Datko, M., Jahedi, A., Fishman, I., & Müller, R.-A. (2016). Patterns of atypical functional connectivity and behavioral links in autism differ between default, salience, and executive networks. Cerebral Cortex, 26(10), 4034–4045.

Article  PubMed  PubMed Central  Google Scholar 

American Psychiatric Association, D., & Association, A. P. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (Vol. 5): American psychiatric association Washington, DC. https://doi.org/10.1176/appi.books.9780890425596

Bonilha, L., Cendes, F., Rorden, C., Eckert, M., Dalgalarrondo, P., Li, L. M., & Steiner, C. E. (2008). Gray and white matter imbalance–typical structural abnormality underlying classic autism? Brain and Development, 30(6), 396–401.

Article  PubMed  Google Scholar 

Buch, A. M., Vértes, P. E., Seidlitz, J., Kim, S. H., Grosenick, L., & Liston, C. (2023). Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder. Nature Neuroscience, 26(4), 650–663.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Carlisi, C. O. (2017). Comparison of brain structure and function between adolescents with autism spectrum disorder and adolescents with obsessive-compulsive disorder (Doctoral dissertation, King's College London).

Chan, R. C., Shum, D., Toulopoulou, T., & Chen, E. Y. (2008). Assessment of executive functions: Review of instruments and identification of critical issues. Archives of Clinical Neuropsychology, 23(2), 201–216.

Article  PubMed  Google Scholar 

Chen, H., Nomi, J. S., Uddin, L. Q., Duan, X., & Chen, H. (2017). Intrinsic functional connectivity variance and state-specific under-connectivity in autism. Human Brain Mapping, 38(11), 5740–5755.

Article  PubMed  PubMed Central  Google Scholar 

Chen, C. M., Yang, P., Wu, M. T., Chuang, T. C., & Huang, T. Y. (2019a). Deriving and validating biomarkers associated with autism spectrum disorders from a large-scale resting-state database. Scientific Reports, 9(1), 9043.

Chen, H., Uddin, L. Q., Guo, X., Wang, J., Wang, R., Wang, X., ..., Chen, H. (2019b). Parsing brain structural heterogeneity in males with autism spectrum disorder reveals distinct clinical subtypes. Human Brain Mapping, 40(2), 628–637.

Chita-Tegmark, M. (2016). Social attention in ASD: A review and meta-analysis of eye-tracking studies. Research in Developmental Disabilities, 48, 79–93.

Article  PubMed  Google Scholar 

Cociu, B. A., Das, S., Billeci, L., Jamal, W., Maharatna, K., Calderoni, S., ..., Muratori, F. (2017). Multimodal functional and structural brain connectivity analysis in autism: a preliminary integrated approach with EEG, fMRI, and DTI. IEEE Transactions on Cognitive and Developmental Systems, 10(2), 213–226.

Cohen, D. J., & Volkmar, F. R. (1997). Handbook of autism and pervasive developmental disorders. John Wiley & Sons Inc.

Collette, F., & Van der Linden, M. (2002). Brain imaging of the central executive component of working memory. Neuroscience & Biobehavioral Reviews, 26(2), 105–125.

Article  Google Scholar 

Dawson, G., Toth, K., Abbott, R., Osterling, J., Munson, J., Estes, A., & Liaw, J. (2004). Early social attention impairments in autism: Social orienting, joint attention, and attention to distress. Developmental Psychology, 40(2), 271.

Article  PubMed  Google Scholar 

Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., ..., Dapretto, M. (2014). The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular Psychiatry, 19(6), 659–667.

Di Martino, A., O’connor, D., Chen, B., Alaerts, K., Anderson, J. S., Assaf, M., ..., Bernaerts, S. (2017). Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Scientific Data, 4(1), 1–15.

DiGuiseppi, J., & Tadi, P. (2023). Neuroanatomy, Postcentral Gyrus. StatPearls.

Drucker, H., Burges, C. J., Kaufman, L., Smola, A., & Vapnik, V. (1996). Support vector regression machines. Advances in Neural Information Processing Systems, 9, 155–161.

Google Scholar 

Franchini, M., Glaser, B., Wood de Wilde, H., Gentaz, E., Eliez, S., & Schaer, M. (2017). Social orienting and joint attention in preschoolers with autism spectrum disorders. PLoS one, 12(6), e0178859.

Article  PubMed  PubMed Central  Google Scholar 

Gao, Z., Chen, X., Xiang, R., Zhang, W., Tan, L., Fan, W., ..., Xu, Y. (2021). Changes in resting-state spontaneous brain activity in patients with allergic rhinitis: a pilot neuroimaging study. Frontiers in Neuroscience, 15, 697299.

Golland, P., & Fischl, B. (2003). Permutation tests for classification: towards statistical significance in image-based studies. Biennial International Conference on Information Processing in Medical Imaging, 18, 330–341.

Google Scholar 

Guo, X., Chen, H., Long, Z., Duan, X., Zhang, Y., & Chen, H. (2017). Atypical developmental trajectory of local spontaneous brain activity in autism spectrum disorder. Scientific Reports, 7(1), 39822.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Guo, X., Duan, X., Suckling, J., Chen, H., Liao, W., Cui, Q., & Chen, H. (2019). Partially impaired functional connectivity states between right anterior insula and default mode network in autism spectrum disorder. Human Brain Mapping, 40(4), 1264–1275.

Article  PubMed  Google Scholar 

Guo, X., Zhai, G., Liu, J., Cao, Y., Zhang, X., Cui, D., & Gao, L. (2022). Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder. Molecular Autism, 13(1), 1–13.

Article  CAS  Google Scholar 

Guo, X., Duan, X., Chen, H., He, C., Xiao, J., Han, S., ..., Chen, H. (2020). Altered inter‐and intrahemispheric functional connectivity dynamics in autistic children. Human Brain Mapping, 41(2), 419–428.

Guo, X., Zhai, G., Liu, J., Zhang, X., Zhang, T., Cui, D., ..., Gao, L. (2023). Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder. Autism Research, 16(12), 2275–2290.

Hadjikhani, N., Joseph, R. M., Snyder, J., & Tager-Flusberg, H. (2007). Abnormal activation of the social brain during face perception in autism. Human Brain Mapping, 28(5), 441–449.

Article  PubMed  Google Scholar 

Han, S., Xu, Y., Guo, H. R., Fang, K., Wei, Y., Liu, L., ..., Cheng, J. (2022). Two distinct subtypes of obsessive compulsive disorder revealed by a framework integrating multimodal neuroimaging information. Human Brain Mapping, 43(14), 4254–4265.

Hong, S.-J., Valk, S. L., Di Martino, A., Milham, M. P., & Bernhardt, B. C. (2018). Multidimensional neuroanatomical subtyping of autism spectrum disorder. Cerebral Cortex, 28(10), 3578–3588.

Article  PubMed  Google Scholar 

Hong, S.-J., Vogelstein, J. T., Gozzi, A., Bernhardt, B. C., Yeo, B. T., Milham, M. P., & Di Martino, A. (2020). Toward neurosubtypes in autism. Biological Psychiatry, 88(1), 111–128.

Article  PubMed  Google Scholar 

Jacobs, G. R., Voineskos, A. N., Hawco, C., Stefanik, L., Forde, N. J., Dickie, E. W., ..., Crosbie, J. (2021). Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCD. Neuropsychopharmacology, 46(3), 643–653.

Jao Keehn, R. J., Nair, S., Pueschel, E. B., Linke, A. C., Fishman, I., & Müller, R.-A. (2019). Atypical local and distal patterns of occipito-frontal functional connectivity are related to symptom severity in autism. Cerebral Cortex, 29(8), 3319–3330.

Article  PubMed  Google Scholar 

Japee, S., Holiday, K., Satyshur, M. D., Mukai, I., & Ungerleider, L. G. (2015). A role of right middle frontal gyrus in reorienting of attention: A case study. Frontiers in Systems Neuroscience, 9, 23.

Article  PubMed  PubMed Central  Google Scholar 

Jung, R. E., & Haier, R. J. (2007). The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30(2), 135–154.

Article  PubMed  Google Scholar 

Karavallil Achuthan, S., Coburn, K. L., Beckerson, M. E., & Kana, R. K. (2023). Amplitude of low frequency fluctuations during resting state fMRI in autistic children. Autism Research, 16(1), 84–98.

Article  PubMed  Google Scholar 

Kas, M. J., Glennon, J. C., Buitelaar, J., Ey, E., Biemans, B., Crawley, J., ..., Talpos, J. (2014). Assessing behavioural and cognitive domains of autism spectrum disorders in rodents: current status and future perspectives. Psychopharmacology, 231, 1125–1146.

Keehn, B., Lincoln, A. J., Müller, R. A., & Townsend, J. (2010). Attentional networks in children and adolescents with autism spectrum disorder. Journal of Child Psychology and Psychiatry, 51(11), 1251–1259. https://doi.org/10.1111/j.1469-7610.2010.02257.x

Article  PubMed  Google Scholar 

Kim, S. H., Macari, S., Koller, J., & Chawarska, K. (2016). Examining the phenotypic heterogeneity of early autism spectrum disorder: Subtypes and short-term outcomes. Journal of Child Psychology and Psychiatry, 57(1), 93–102.

Article  PubMed  Google Scholar 

Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2013). The ventral visual pathway: An expanded neural framework for the processing of object quality. Trends in Cognitive Sciences, 17(1), 26–49.

Article  PubMed  Google Scholar 

Leekam, S. R., & Ramsden, C. A. (2006). Dyadic orienting and joint attention in preschool children with autism. Journal of Autism and Developmental Disorders, 36, 185–197.

Article  PubMed  Google Scholar 

Li, J., Zheng, W., Fu, X., Zhang, Y., Yang, S., Wang, Y., ..., Xu, G. (2024). Individual deviation-based functional hypergraph for identifying subtypes of autism spectrum disorder. Brain Sciences, 14(8), 738.

Libero, L. E., DeRamus, T. P., Lahti, A. C., Deshpande, G., & Kana, R. K. (2015). Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates. Cortex, 66, 46–59.

Article  PubMed  PubMed Central  Google Scholar 

Liu, G., Shi, L., Qiu, J., & Lu, W. (2022). Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning. Molecular Autism, 13(1), 1–14.

Article  Google Scholar 

Liu, F., Guo, W., Fouche, J.-P., Wang, Y., Wang, W., Ding, J., ..., Zhang, W. (2015). Multivariate classification of social anxiety disorder using whole brain functional connectivity. Brain Structure and Function, 220, 101–115.

Liu, J., Yao, L., Zhang, W., Xiao, Y., Liu, L., Gao, X., ..., & Gong, Q. (2017). Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping. European Child & Adolescent Psychiatry, 26, 933–945.

Lombardo, M. V., Lai, M.-C., & Baron-Cohen, S. (2019). Big data approaches to decomposing heterogeneity across the autism spectrum. Molecular Psychiatry, 24(10), 1435–1450.

Article  PubMed  PubMed Central  Google Scholar 

Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The Lancet, 392(10146), 508–520.

Article  Google Scholar 

Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., ..., Rutter, M. (2000). The Autism Diagnostic Observation Schedule—Generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205–223.

Lynch, C. J., Uddin, L. Q., Supekar, K., Khouzam, A., Phillips, J., & Menon, V. (2013). Default mode network in childhood autism: Posteromedial cortex heterogeneity and relationship with social deficits. Biological Psychiatry, 74(3), 212–219.