Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age

Diagnostic and Statistical Manual of Mental Disorders

American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369

The Elements of Statistical Learning

Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970

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

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

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429

Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014

Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., Warren, Z., Kurzius-Spencer, M., Zahorodny, W., Robinson, C., Rosenberg, et al. (2018) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6706a1 · Cited by 6,078

Functional Network Organization of the Human Brain

Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124

Movement‐Related effects in fMRI time‐series

Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774

Methods to detect, characterize, and remove motion artifact in resting state fMRI

Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748

AGEING AND PARKINSON'S DISEASE: SUBSTANTIA NIGRA REGIONAL SELECTIVITY

FEARNLEY, J. M., & LEES, A. J. (1991) · Brain · doi:10.1093/brain/114.5.2283 · Cited by 3,529

Sex differences of the triple network model in children with autism: A resting‐state fMRI investigation of effective connectivity

Li, C., Li, T., Chen, Y., Zhang, C., Ning, M., Qin, R., Li, L., Wang, X., & Chen, L. (2023) · Autism Research · doi:10.1002/aur.2991 · Cited by 10

Early maturation of the social brain: How brain development provides a platform for the acquisition of social-cognitive competence

Ciarrusta, J., Dimitrova, R., & McAlonan, G. M. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.05.004 · Cited by 8

Digital phenotyping of autism spectrum disorders based on color information: brief review and opinion

Doi, H. (2020) · Artificial Life and Robotics · doi:10.1007/s10015-020-00614-6 · Cited by 8

Food for Thought: Machine Learning in Autism Spectrum Disorder Screening of Infants

Siddiqui, S., Gunaseelan, L., Shaikh, R., Khan, A., Mankad, D., & Hamid, M. A. (2021) · Cureus · doi:10.7759/cureus.18721 · Cited by 10

Fragile X Mental Retardation Protein and Cerebral Expression of Metabotropic Glutamate Receptor Subtype 5 in Men with Fragile X Syndrome: A Pilot Study

Brašić, J. R., Goodman, J. A., Nandi, A., Russell, D., Jennings, D. L., Barret, O., Martin, S., Slifer, K. J., Sedlak, T. W., Mathur, A., et al. (2022) · Brain Sciences · doi:10.3390/brainsci12030314 · Cited by 8

Neurophysiological Correlates of Impaired Development in Autism Spectrum Disorder (ASD)

Salimova, K. (2022) · Biology Bulletin Reviews · doi:10.1134/s2079086422020074 · Cited by 9

Sensorimotor variability distinguishes early features of cognition in toddlers with autism

Denisova, K., & Wolpert, D. M. (2024) · iScience · doi:10.1016/j.isci.2024.110685 · Cited by 8

Mecp2 deletion results in profound alterations of developmental and adult functional connectivity

Rahn, R. M., Yen, A., Chen, S., Gaines, S. H., Bice, A. R., Brier, L. M., Swift, R. G., Lee, L., Maloney, S. E., Culver, J. P., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad050 · Cited by 9

Seeing beyond words: Visualizing autism spectrum disorder biomarker insights

Xie, X., Zhou, R., Fang, Z., Zhang, Y., Wang, Q., & Liu, X. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30420 · Cited by 9

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns

Zhang, H., Stanley, N., Mucha, P. J., Yin, W., Lin, W., & Shen, D. G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00931-1_16 · Cited by 8

Autism spectrum disorder

Harris, J. C., & Coyle, J. T. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85654-6.00016-2 · Cited by 11

3D CNN for neuropsychiatry: Predicting Autism with interpretable Deep Learning applied to minimally preprocessed structural MRI data

Garcia, M., & Kelly, C. A. M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0276832 · Cited by 9

Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder

Jia, Q., Wang, X., Zhou, R., Ma, B., Fei, F., & Han, H. (2023) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2023.1310400 · Cited by 13

Age-dependent cortical overconnectivity in Shank3 mice is reversed by anesthesia

Montagni, E., Ambrosone, M., Martello, A., Curti, L., Polverini, F., Baroncelli, L., Mannaioni, G., Pavone, F. S., Masi, A., & Mascaro, A. L. A. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03377-5 · Cited by 6

Infant Saliva Levels of microRNA miR-151a-3p Are Associated with Risk for Neurodevelopmental Delay

Hicks, S. D., & Confair, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021476 · Cited by 6

Invited Perspective: Air Pollution and Autism Spectrum Disorder: Are We There Yet?

Raz, R., & Oulhote, Y. (2022) · Environmental Health Perspectives · doi:10.1289/ehp10617 · Cited by 6

A Review On: Autism Spectrum Disorder Detection by Machine Learning Using Small Video

Garg, K., Das, N. N., & Aggrawal, G. (2023) · International Conference on Intelligent Communication and Computational Techniques (ICCT) · doi:10.1109/icct56969.2023.10076139 · Cited by 6

The Infant Brain: A Critical Antecedent of Psychiatric Risk

Spann, M. N., & Rogers, C. E. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.03.005 · Cited by 5

Population Neuroscience

Tiemeier, H. W., & Muetzel, R. L. (2020) · Mental health and illness worldwide · doi:10.1007/978-981-10-2348-4_12 · Cited by 5

Comparison of Neural Networks' Performance in Early Screening of Autism Spectrum Disorders Under Two MRI Principles

Zhang, M., Ma, Y., Zheng, L., Wang, Y., Liu, Z., & Ma, J. (2019) · International Conference on Networking and Network Applications (NaNA) · doi:10.1109/nana.2019.00065 · Cited by 6

The functional brain organization of an individual predicts measures of social abilities in autism spectrum disorder: Predicting symptoms in autism with brain imagingPreprint

Lake, E. M. R., Finn, E. S., Noble, S., Vanderwal, T., Shen, X., Rosenberg, M. D., Spann, M. N., Chun, M. M., Scheinost, D., & Constable, R. T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/290320 · Cited by 6

Altered Salience Network Connectivity in 6-Week-Old Infants at Risk for AutismPreprint

Tsang, T., Green, S. A., Liu, J., Lawrence, K. E., Jeste, S., Bookheimer, S. Y., & Dapretto, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.27.466195 · Cited by 6

Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder

Wang, B. M., Mills, Z., Jones, H. F., Montgomery, J. M., & Lee, K. Y. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70088 · Cited by 7

Developmental human brain connectome from fetal stage to early childhood

Wu, W., Huang, H., Zhu, T., Tan, S., & Ouyang, M. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101704 · Cited by 6

The Neuroradiology of Autism: Framing Neuroimaging Investigations of the Autistic Brain Based on the US NIMH Research Domain Criteria

Lin, H., & Lai, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-20792-1_16 · Cited by 5

Coordination, Balance and Fine Motor Skills Deficities in Children with Autism Spectrum Disorder Without Co-Occuring Conditions—Application of MABC-2 Test in Pilot Study Among Polish Children

Stachura, K., Emich‐Widera, E., Kazek, B., & Stania, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14144946 · Cited by 5

Early autism diagnosis based on path signature and Siamese unsupervised feature compressor

Yin, Z., Ding, X., Zhang, X., Wu, Z., Wang, L., Xu, X., & Li, G. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae069 · Cited by 8

In case you missed it: The Prenatal Diagnosis editors bring you the most significant advances of 2017

Levy, B., Bianchi, D. W., Mieghem, T. V., Deprest, J. A., Ghidini, A., & Chitty, L. S. (2018) · Prenatal Diagnosis · doi:10.1002/pd.5210 · Cited by 6

What to Tell a Parent Who Worries a Young Child Has Autism

Estes, A. M., John, T. S., & Dager, S. R. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.1234 · Cited by 5

Effectiveness of Repetitive Transcranial Magnetic Stimulation (rTMS) on DLPFC for Enhancing Cognitive Function in Healthy Adults: A ReviewPreprint

Asgarinejad, M., Saviz, M., Sadjadi, S. M., Saliminia, S., Kakaei, A., Esmaeili, P., Hammoud, A., Ebrahimzadeh, E., & Hamid Soltanian-zadeh, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4524707 · Cited by 5

Fetal functional connectivity prospectively associates with autistic traits in toddlerhood

Chen, B., Menu, I., Ji, L., Trentacosta, C. J., & Thomason, M. E. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103938 · Cited by 4

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

Terol, R. M., Peral, J., Amador, S., & Gil, D. (2026) · Heliyon · doi:10.1016/j.heliyon.2025.e44359 · Cited by 5

Comparison of EEG quantitative parameters for students with ASD based on EIBI duration program

Rahmahtrisilvia, R., Setiawan, R., Sopandi, A. A., Fatmawati, F., Marlina, M., & Zulmiyetri, Z. (2023) · Pegem Journal of Education and Instruction · doi:10.47750/pegegog.13.04.12 · Cited by 8

Assessing cortical features in early stage ASD children

Napolitano, A., Guerrera, S., Lucignani, M., Parrillo, C., Baldassari, G., Bottino, F., Moltoni, G., Rossi‐Espagnet, M. C., Talamanca, L. F., Valeri, G., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1098265 · Cited by 4

Reduced covariation between brain morphometry and local spontaneous activity in young children with ASD

Chen, B., Olson, L., Ríos, A., Salmina, M., Linke, A. C., & Fishman, I. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae005 · Cited by 4

Neural networks - based solutions for predicting the affective state of children with autism

Popescu, A.-L., & Popescu, N. (2021) · International Conference on Control Systems and Computer Science · doi:10.1109/cscs52396.2021.00023 · Cited by 4

Corneal confocal microscopy demonstrates sensory nerve loss in children with autism spectrum disorder

Khan, A., Kamal, M., Alhothi, A., Gad, H., Adan, M. A., Ponirakis, G., Petropoulos, I. N., & Malik, R. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288399 · Cited by 4

Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism

Adamek, J. H., Luo, Y., & Ewen, J. B. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_90-1 · Cited by 4

Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds

Pruett, J. R., Todorov, A. A., Hawks, Z., Talović, M., Nishino, T., Petersen, S. E., Davis, S. C., Stahl, L., Botteron, K. N., Constantino, J. N., et al. (2025) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-025-09621-9 · Cited by 3

High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals

Clarke, N., Urchs, S. G. W., Nguyen, H. D., Moreau, C. A., Dansereau, C. L., Tam, A., Evans, A. C., & Bellec, P. (2025) · GigaScience · doi:10.1093/gigascience/giaf091 · Cited by 3

Cognitive prediction using regional connectivities and network biomarkers in Alzheimer’s disease

Sheng, J., Wang, J., Zhang, Q., Huang, R., Lu, Y., & Li, T. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.08.059 · Cited by 3

Bridging the gap: Translating fetal, infant, and toddler neuroimaging insights into clinical practice

Nelson, P. M., Sacks, D. D., Korom, M., Remec, N., Perkins, G. A., Cook, K. M., Stoyell, S. M., Evans, M. E., Moser, J., Capparini, C., et al. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101696 · Cited by 4

Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism

Adamek, J. H., Luo, Y., & Ewen, J. B. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_90 · Cited by 4

A Blueprint for Next Generation of Clinical Trials in Precision Psychiatry

Pham, K. T., Sheynin, J., & Liberzon, I. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00073-3 · Cited by 3

(Vroeg)Herkenning en screening

Pijl, M., & Servatius-Oosterling, I. J. (2021) · Bohn Stafleu van Loghum eBooks · doi:10.1007/978-90-368-2665-5_6 · Cited by 3

Investigation of Genetic Polymorphism in Autism Spectrum Disorder: a Pathogenesis of the Neurodevelopmental Disorder

Kalarani, I. B., Vajagathali, M., & Veerabathiran, R. (2022) · Advances in Neurodevelopmental Disorders · doi:10.1007/s41252-022-00251-z · Cited by 3

Application of machine learning in early identification and diagnosis of autistic children

Tingting, H. O. U., Xiao, C. H. E. N., Kong, D., Xiujun, S. H. A. O., Lin, F., & Kaiyun, L. I. (2022) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2022.02321 · Cited by 3

AUTISM SPECTRUM DISORDER IN CHILDREN: DIAGNOSTIC SIGNIFICANCE OF ELECTROENCEPHALOGRAPHY

Gamirova, R., Safina, A. R., Gorobets, E. A., & SAFINA, D. R. (2023) · The Bulletin of Contemporary Clinical Medicine · doi:10.20969/vskm.2023.16(2).80-88 · Cited by 3

Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism

Park, S., Thomson, P., Kiar, G., Castellanos, F. X., Milham, M. P., Bernhardt, B. C., & Martino, A. D. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-69491-2_18 · Cited by 3

Early screening and diagnosis of autism spectrum disorder assisted by artificial intelligence

Yuzhuo, Y. U. A. N., & Fang, L. U. O. (2022) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2022.02303 · Cited by 3

From bedside to bench and back: Translating ASD models

Drozd, H. P., Karathanasis, S. F., Molosh, A. I., Lukkes, J. L., Clapp, D. W., & Shekhar, A. (2018) · Progress in brain research · doi:10.1016/bs.pbr.2018.10.003 · Cited by 3

The Application of Artificial Intelligence in the Recognition, Diagnosis, and Treatment of Autism

Wang, J., & Hu, M. (2023) · International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS) · doi:10.1145/3644116.3644267 · Cited by 2

Radiomics vs. Deep Learning in Autism Classification Using Brain MRI: A Systematic Review

Nalentzi, K., Ioannidis, G., Bougias, H., Bisdas, S., Balafouta, M., Sgouropoulou, C., Klontzas, M. E., Kostas Marias, A., & Papavasileiou, P. (2025) · Applied Sciences · doi:10.3390/app151910551 · Cited by 5

Visual Cortical Response Variability in Infants at High Familial Likelihood for Autism

Dickinson, A. H., Booth, M., Huberty, S., Ryan, D., Campbell, A., Girault, J. B., Miller, N. C., Lau, B. K., Zempel, J. M., Webb, S. J., et al. (2026) · Developmental Science · doi:10.1111/desc.70266 · Cited by 2

Harnessing the potential of artificial neural networks for pediatric patient management

Quon, J. L., Jin, M. C., Seekins, J. M., & Yeom, K. W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821259-2.00021-1 · Cited by 2

To eat, or not to eat, that is the question: Neural stem cells escape phagocytosis in autism with macrocephaly

Schafer, S. T., & Gage, F. H. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2104888118 · Cited by 2

Egzersiz Müdahalelerinin Otizm Spektrum Bozukluğunda Bilişsel Sürece Etkisi Ile Ilgili Yapılmıs Calısmaların Sistematik Derlemesi

Akşit, S., & Yılmaz, E. B. (2024) · Akdeniz Spor Bilimleri Dergisi · doi:10.38021/asbid.1400492 · Cited by 2

Structural Brain Imaging Biomarkers of Autism Spectrum Disorder

Amaral, D. G., Andrews, D. S., & Nordahl, C. W. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-69491-2_17 · Cited by 2

New perspectives on autism: two equations to describe a complex disorder and envisage new treatments

Suare, B., & Jeune, M.-A. (2025) · Obstetrics Gynecology and Reproduction · doi:10.17749/2313-7347/ob.gyn.rep.2024.526 · Cited by 2

Language network functional connectivity in infancy predicts developmental language trajectories

Wagner, L., Ceballos, J., Chiem, E., & Dapretto, M. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101753 · Cited by 3

Autism, the current pathological trend in psychiatry

Nicolini, H., & Laboratorio de Enfermedades Psiquiátricas y Neurodegenerativas, I. N. D. M. G. (2018) · Salud Mental · doi:10.17711/sm.0185-3325.2018.022 · Cited by 2

Reuniting Development and Infant Mental Health through the DIR Model

Wieder, S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818466-0.00013-7 · Cited by 2

Neurological evaluation and management of autism spectrum disorder

Goodspeed, K., Haffner, D. N., Golla, S., Morris, M. A., & Evans, P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813955-4.00023-4 · Cited by 2

Informative Feature-Guided Siamese Network for Early Diagnosis of Autism

Gao, K., Sun, Y., Niu, S., & Wang, L. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59861-7_68 · Cited by 2

Social deficits in autism spectrum disorder: A perspective from the social motivation theory

Lei, W. A. N. G., He, H., Bi, X.-B., Li, Z. H. O. U., & Fan, X.-Z. (2021) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2021.02209 · Cited by 2

Population Neuroscience

Tiemeier, H. W., & Muetzel, R. L. (2020) · Mental health and illness worldwide · doi:10.1007/978-981-10-0753-8_12-1 · Cited by 2

Autism Spectrum Disorder

Harris, J. C., & Coyle, J. T. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780199928118.003.0016 · Cited by 2

Avaliação de características do espectro autista em pacientes com Distrofia Muscular de Duchenne

Madanelo, L. (2019) · doi:10.11606/d.47.2019.tde-19122018-102629 · Cited by 2

Reproducible functional connectivity endophenotype confers high risk of ASD diagnosis in a subset of individualsPreprint

Urchs, S. G. W., Nguyen, H. D., Moreau, C. A., Dansereau, C. L., Tam, A., Evans, A. C., & Bellec, P. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.01.127688 · Cited by 1

Automated diagnosis of autism: State of the artPreprint

Valizadeh, A., Moassefi, M., Nakhostin-Ansari, A., Some’eh, S. H., Hosseini-Asl, S. H., Torbati, M. S., Aghajani, R., Ghorbani, Z. M., Oskouie, I. M., Aghajani, F., et al. (2021) · medRxiv · doi:10.1101/2021.06.29.21254249 · 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

Autism Spectrum Disorder (ASD)

Rutten, M. R., Zhong, J., Rolison, M. J., & Sukhodolsky, D. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95702-1.00076-2 · Cited by 1

A New Paradigm for Autism Spectrum Disorder Discrimination in Children Utilizing EEG Data Collected During Cartoon Viewing With a Focus on Atypical Semantic Processing

Deng, L., Lu, M., Yang, L., Zhang, Y., Tan, H., Cao, M., & Li, F. (2025) · Autism Research · doi:10.1002/aur.70105 · Cited by 1

Otizmin Semptom Öncesi Dönemde Tespiti: Göz İzleme Teknolojileri ve Görsel Dikkat Biyobelirteçleri

Bülbül, I. A. (2025) · Turkish Journal of Special Education Research and Practice · doi:10.37233/trsped.drr.1678367 · 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

Anticipation of a therapeutic odyssey following predictive testing for autism

MacDuffie, K. E., Washington, A. M., Burrows, C. A., Dager, S. R., Elison, J. T., Estes, A. M., Grzadzinski, R., Lee, C.-M., Piven, J., Shen, M. D., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-23197-3 · Cited by 1

Common and distinct changes of regional resting-state brain activity between high- and low-functioning autism spectrum disorder

Xu, H., Li, M., Zhang, L., Zhang, W., Jiang, Y., Zhu, M., & Chi, X. (2026) · BMC Psychiatry · doi:10.1186/s12888-025-07766-4 · Cited by 1

Machine Learning Algorithms for Detection of Autism Spectrum Disorders in Early Childhood: A Scoping Review

Gu, X., Jia, J., Zhang, X., Wei, H., Han, Y., Rong, P., Cui, X., & Tian, H. (2026) · Journal of Child and Adolescent Psychiatric Nursing · doi:10.1111/jcap.70052 · Cited by 1

Subclinical neuropsychiatric trait variation in parents of children with autism spectrum disorder: a cohort study

Mullin, L. J., Xia, K., Wang, J., Lee, C. M., Buscher, T. G., Lasch, C., Burrows, C. A., Elison, J. T., Shen, M. D., Dager, S. R., et al. (2026) · Molecular Autism · doi:10.1186/s13229-026-00720-5 · Cited by 1

Artificial intelligence, equity, and pediatric neurodevelopmental disorders: A scoping review of clinical practice applications

Uzoaru, F., Oleribe, O. O., Nwaozuru, U., & Sabado, P. (2026) · Pediatric Investigation · doi:10.1002/ped4.70073 · Cited by 1

Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization

Kim, H., Piven, J., & Gerig, G. (2019) · SPIE Medical Imaging: Image Processing · doi:10.1117/12.2512830 · Cited by 1

Prematurity and Autism Spectrum Disorder

Garcia, M. G. D., Bhat, R., Manzar, S., Mhanna, M. J., & Walyat, N. (2022) · Autism and child psychopathology series · doi:10.1007/978-3-031-06120-2_15 · Cited by 1

Identification of ASD via Graph Convolutional Network with Visual Semantic Encoding of Saccade

Xia, C., Chen, H., Guo, X., Li, K., & Ren, S. (2023) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm58861.2023.10385771 · Cited by 1

Exome functional risk score and brain connectivity can predict social adaptability outcome of children with autism spectrum disorder in 4 years’ follow up

Luo, T., Zhang, M., Li, S., Situ, M., Liu, P., Wang, M., Tao, Y., Zhao, S., Wang, Z., Yang, Y., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1384134 · Cited by 1

Enhancing daily life for children with cognitive developmental delay through insights into brain development

Claessens, N. H. P., Smits, M. J., & Benders, M. J. N. L. (2024) · Pediatric Research · doi:10.1038/s41390-024-03616-3 · Cited by 1

The Current Research Landscape on the Machine Learning Application in Autism Spectrum Disorder: A Bibliometric Analysis From 1999 to 2023

Li, X., Huang, W., Tan, R., Xu, C., Chen, X., Zhang, Q., Li, S., Liu, Y., Qiu, H., Bi, C., et al. (2025) · Current Neuropharmacology · doi:10.2174/011570159x332833241222191422 · Cited by 2

Pupil responses to social stimuli are associated with adaptive behaviors across the first 24 months of life

Grzadzinski, R., Carpenter, R. S., Rutsohn, J., Jatkar, A., Mata, K., Bhatt, A., Ortiz-Juza, M. M., Dennehey, M. R., Gilleskie, D., Elison, J. T., et al. (2025) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-025-09628-2 · Cited by 1

Considerations for conducting developmental neuroimaging research on mental health topics

Church, J. A., Greene, D. J., & Petersen, S. E. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02221-0 · Cited by 1

Optimizing functional connectivity scanning conditions for predicting autistic traits

Horien, C. L., Mandino, F., Greene, A. S., Shen, X., Powell, K. K., Vernetti, A., O'Connor, D., Adkinson, B. D., Tejavibulya, L., McPartland, J. C., et al. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00623-7 · Cited by 2

Modelling Mental States via Computational Psychophysiology: Benefits and Challenges

Zheng, W., Cai, H., Yao, Z., Zhang, X., Li, X., & Hu, B. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-37429-7_67 · Cited by 1

A critical analysis of the technologies used for development of applications dedicated to persons with autism spectrum disorder

Popescu, A.-L., & Popescu, N. (2020) · RoEduNet Conference: Networking in Education and Research (RoEduNet) · doi:10.1109/roedunet51892.2020.9324880 · Cited by 1

Pregnancy data enable identification of relevant biomarkers and a partial prognosis of autism at birthPreprint

Caly, H., Rabiei, H., Coste-Mazeau, P., Hantz, S., Alain, S., Eyraud, J., Chianéa, T., Caly, C., Makowski, D., Hadjikhani, N. K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.08.192989 · Cited by 1

Using Connectivity to Explain AutismPreprint

Adamek, J. H., Luo, Y., & Ewen, J. B. (2019) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/6rqdp · Cited by 1

Markerless Video Analysis of Spontaneous Bodily Movements in 4-Month-Old Infants Predicts Autism-like Behavior in 18-Month-OldsPreprint

Doi, H., Iijima, N., Furui, A., Soh, Z., Shinohara, K., Iriguchi, M., Shimatani, K., & Tsuji, T. (2021) · medRxiv · doi:10.1101/2021.10.11.21264725 · Cited by 1

AIGDR: An Artificial Intelligence Framework for Disability Research – A Multiple Sclerosis CasePreprint

Al-Eid, M., Alfantoukh, L., Alarfaj, O., Alzeer, A., & Abomelha, E. F. (2022) · Research Square · doi:10.21203/rs.3.rs-1449232/v1 · Cited by 1

The Role of EEG Functional Connectivity Coupled with Eye Tracking in Early Diagnosis of Autism Spectrum DisorderPreprint

Sun, B., Wang, B. K., Wei, Z., Feng, Z., Wu, Z.-L., Yassin, W., Stone, W. S., Lin, Y., & Kong, X. (2023) · Research Square · doi:10.21203/rs.3.rs-2768127/v1 · Cited by 1

Functional connectivity differences in early infancy precede autism symptoms: a multivariate pattern analysisPreprint

Dickinson, A. H., Daniel, M., Marin, A., Goanker, B., Dapretto, M., McDonald, N. M., & Jeste, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/866939

Commentary: Parent Perspective on Familial Risk for Autism Spectrum Disorder

Simpson, J. (2020) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsz105

Early Childhood Brain Development and Schizophrenia: An Imaging Perspective

Gilmore, J. H. (2020) · Springer eBooks · doi:10.1007/978-3-030-35206-6_15

Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRIPreprint

Leming, M., Baron‐Cohen, S., & John Suckling, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.08035

PP141 Functional Connectivity Magnetic Resonance Imaging To Detect Autism

Polo-Desantos, M., Pablo, J., Orrego, C., Hijas-Gómez, A. I., Luengo-Matos, S., & Sánchez-Gómez, L. M. (2019) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462319002551 · Cited by 1

Autism spectrum disorder risk prediction: A systematic review of behavioral and neural investigations

Geng, X., Kang, X., & Wong, P. C. M. (2020) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.04.015 · Cited by 15

Neuroimaging Techniques as Descriptive and Diagnostic Tools for Infants at Risk for Autism Spectrum Disorder: A Systematic Review

Ayoub, M. J., Keegan, L., Tager-Flusberg, H. B., & Gill, S. V. (2022) · Brain Sciences · doi:10.3390/brainsci12050602 · Cited by 34

Multimodal Neuroimaging and Machine Learning Framework for Early Prediction of Autism Spectrum Disorder In Infants

Dev, S. N., Akshaya, P., Bhavana, T., & Sneha, G. (2026) · International Research Journal on Advanced Engineering Hub (IRJAEH) · doi:10.47392/irjaeh.2026.0310

Functional connectivity differences in early infancy precede autism symptoms: a multivariate pattern analysisPreprint

Dickinson, A. H., Daniel, M., Marin, A., Goanker, B., Dapretto, M., McDonald, N. M., & Jeste, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/866939