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

Decreased in vivo glutamate/GABA ratio correlates with the social behavior deficit in a mouse model of autism spectrum disorder

Park, G., Jeon, S. J., Ko, I. O., Park, J. H., Lee, K. C., Kim, M., Shin, C. Y., Kim, H., & Lee, Y. (2022) · Molecular Brain · doi:10.1186/s13041-022-00904-z · Cited by 37

Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds

Kardan, O., Kaplan, S., Wheelock, M. D., Feczko, E., Day, T. K. M., Miranda-Domínguez, Ó., Meyer, D., Eggebrecht, A. T., Moore, L. A., Sung, S., et al. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101123 · Cited by 37

Pyramidal neuron growth and increased hippocampal volume during labor and birth in autism

Cloarec, R., Riffault, B., Dufour, A., Rabiei, H., Gouty‐Colomer, L., Dumon, C., Guimond, D., Bonifazi, P., Eftekhari, S., Lozovaya, N., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav0394 · Cited by 32

Looking for “fNIRS Signature” in Autism Spectrum: A Systematic Review Starting From Preschoolers

Conti, E., Scaffei, E., Bosetti, C., Marchi, V., Costanzo, V., Dell’Oste, V., Mazziotti, R. M., Dell’Osso, L., Carmassi, C., Muratori, F., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.785993 · Cited by 34

Resveratrol prevents brain edema, blood–brain barrier permeability, and altered aquaporin profile in autism animal model

Deckmann, I., Santos‐Terra, J., Fontes‐Dutra, M., Rockenbach, M. K., Bauer‐Negrini, G., Schwingel, G. B., Riesgo, R. D. S., Bambini-Júnior, V., & Gottfried, C. (2021) · International Journal of Developmental Neuroscience · doi:10.1002/jdn.10137 · Cited by 36

Functional connectivity for the language network in the developing brain: 30 weeks of gestation to 30 months of age

Scheinost, D., Chang, J. T., Lacadie, C., Brennan‐Wydra, E., Constable, R. T., Chawarska, K., & Ment, L. R. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab415 · Cited by 38

Overview and Introduction to Autism Spectrum Disorder (ASD)

Al-Dewik, N. I. E., Al‐Jurf, R., Styles, M., Tahtamouni, S., Al‐Sharshani, D., Alsharshani, M., Ahmad, A. I., Khattab, A., Rifai, H. A., & Qoronfleh, M. W. (2020) · Advances in neurobiology · doi:10.1007/978-3-030-30402-7_1 · Cited by 37

Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements

Vargason, T., Grivas, G., Hollowood-Jones, K., & Hahn, J. (2020) · Seminars in Pediatric Neurology · doi:10.1016/j.spen.2020.100803 · Cited by 34

Assessment of Autism Symptoms From 6 to 18 Months of Age Using the Autism Observation Scale for Infants in a Prospective High-Risk Cohort

Zwaigenbaum, L., Bryson, S. E., Brian, J. A., Smith, I. M., Sacrey, L.-A. R., Armstrong, V. L., Roberts, W., Szatmári, P., Garon, N., Vaillancourt, T., et al. (2020) · Child Development · doi:10.1111/cdev.13485 · Cited by 34

Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions

Yamada, Y., Shinkawa, K., Kobayashi, M., Nishimura, M., Nemoto, M., Tsukada, E., Ota, M., Nemoto, K., & Arai, T. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.653904 · Cited by 32

Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG)

Roberts, T. P. L., Kuschner, E. S., & Edgar, J. C. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09385-y · Cited by 31

The Value of Brain Imaging and Electrophysiological Testing for Early Screening of Autism Spectrum Disorder: A Systematic Review

Clairmont, C. D., Wang, J., Tariq, S., Sherman, H. T., Zhao, M., & Kong, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.812946 · Cited by 31

White matter as a monitoring biomarker for neurodevelopmental disorder intervention studies

Swanson, M. R., & Hazlett, H. C. (2019) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-019-9295-8 · Cited by 30

Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic Perspective

Talbott, M. R., & Miller, M. R. (2020) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2020.1790382 · Cited by 29

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

Leming, M., Baron‐Cohen, S., & John Suckling, A. (2021) · Molecular Autism · doi:10.1186/s13229-021-00439-5 · Cited by 27

Atypical cerebellar functional connectivity at 9 months of age predicts delayed socio‐communicative profiles in infants at high and low risk for autism

Okada, N. J., Liu, J., Tsang, T., Nosco, E., McDonald, N. M., Cummings, K. K., Jung, J., Patterson, G., Bookheimer, S. Y., Green, S. A., et al. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13555 · Cited by 31

Big data, machine learning, and population health: predicting cognitive outcomes in childhood

Bowe, A. K., Lightbody, G., Staines, A. S., & Murray, D. M. (2022) · Pediatric Research · doi:10.1038/s41390-022-02137-1 · Cited by 33

Prediction of autistic tendencies at 18 months of age via markerless video analysis of spontaneous body movements in 4-month-old infants

Doi, H., Iijima, N., Furui, A., Soh, Z., Yonei, R., Shinohara, K., Iriguchi, M., Shimatani, K., & Tsuji, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-21308-y · Cited by 32

Early screening of autism spectrum disorder using cry features

Khozaei, A., Moradi, H., Hosseini, R., Pouretemad, H., & Eskandari, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241690 · Cited by 28

Somatosensory Deficits After Stroke: Insights From MRI Studies

Lv, Q., Zhang, J., Pan, Y., Liu, X., Miao, L., Peng, J., Song, L., Zou, Y., & Chen, X. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.891283 · Cited by 28

Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer

Scheinost, D., Pollatou, A., Dufford, A. J., Jiang, R., Farruggia, M. C., Rosenblatt, M., Peterson, H., Rodriguez, R. X., Dadashkarimi, J., Liang, Q., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.10.014 · Cited by 35

Repetitive transcranial magnetic stimulation (rTMS) as a tool for cognitive enhancement in healthy adults: a review study

Asgarinejad, M., Saviz, M., Sadjadi, S. M., Saliminia, S., Kakaei, A., Esmaeili, P., Hammoud, A., Ebrahimzadeh, E., & Hamid Soltanian-zadeh, A. (2023) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-023-02968-y · Cited by 26

Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early childhood psychopathology

Luby, J. L., Allen, N. B., Estabrook, R., Pine, D. S., Rogers, C. E., Krogh‐Jespersen, S., Norton, E. S., & Wakschlag, L. S. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103484 · Cited by 28

Lack of neural evidence for implicit language learning in 9‐month‐old infants at high risk for autism

Liu, J., Tsang, T., Ponting, C., Jackson, L., Jeste, S., Bookheimer, S. Y., & Dapretto, M. (2020) · Developmental Science · doi:10.1111/desc.13078 · Cited by 31

Neuroimaging Markers of Risk and Pathways to Resilience in Autism Spectrum Disorder

Molnar-Szakacs, I., Kupis, L. B., & Uddin, L. Q. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.06.017 · Cited by 29

Cost-effectiveness of neuroimaging technologies in management of psychiatric and insomnia disorders: A meta-analysis and prospective cost analysis

Najafpour, Z., Fatemi, A., Goudarzi, Z., Goudarzi, R., Shayanfard, K., & Noorizadeh, F. (2020) · Journal of Neuroradiology · doi:10.1016/j.neurad.2020.12.003 · Cited by 26

Biomarkers and neurobehavioral diagnosis

Ewen, J. B., Potter, W. Z., & Sweeney, J. A. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2020.100029 · Cited by 29

Atypical Intrinsic Hemispheric Interaction Associated with Autism Spectrum Disorder Is Present within the First Year of Life

Rolison, M. J., Lacadie, C., Chawarska, K., Spann, M. N., & Scheinost, D. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab284 · Cited by 26

Uncovering individual differences in fine-scale dynamics of functional connectivity

Cutts, S. A., Faskowitz, J., Betzel, R. F., & Sporns, O. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac214 · Cited by 25

Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism

Eill, A., Jahedi, A., Gao, Y., Kohli, J. S., Fong, C., Solders, S. K., Carper, R. A., Valafar, F., Bailey, B., & Müller, R. (2019) · Brain Connectivity · doi:10.1089/brain.2019.0689 · Cited by 24

Quantitative trait variation in ASD probands and toddler sibling outcomes at 24 months

for the IBIS Network, Girault, J. B., Swanson, M. R., Meera, S. S., Grzadzinski, R., Shen, M. D., Burrows, C. A., Wolff, J. J., Pandey, J., John, T. S., et al. (2020) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-9308-7 · Cited by 25

Abnormal gray matter volume and functional connectivity patterns in social cognition‐related brain regions of young children with autism spectrum disorder

Bai, C., Wang, Y., Zhang, Y., Wang, X., Cheng, Z., Yu, W., Zhang, H., Li, X., Zhu, K., Wang, Y., et al. (2023) · Autism Research · doi:10.1002/aur.2936 · Cited by 26

Functional Connectivity of the Developing Mouse Cortex

Rahn, R. M., Brier, L. M., Bice, A. R., Reisman, M. D., Dougherty, J. D., & Culver, J. P. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab312 · Cited by 24

Dynamic Viewing Pattern Analysis: Towards Large-Scale Screening of Children With ASD in Remote Areas

Xia, C., Zhang, D., Li, K., Li, H., Chen, M., Min, W., & Han, J. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3223736 · Cited by 26

Screening for Behavioral Signs of Autism Spectrum Disorder in 9-Month-Old Infant Siblings

Sacrey, L.-A. R., Zwaigenbaum, L., Bryson, S. E., Brian, J. A., Smith, I. M., Roberts, W., Szatmári, P., Vaillancourt, T., Roncadin, C., & Garon, N. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04371-0 · Cited by 30

On Becoming Trauma-Informed: Role of the Adverse Childhood Experiences Survey in Tertiary Child and Adolescent Mental Health Services and the Association with Standard Measures of Impairment and Severity

Rahman, A., Perri, A., Deegan, A., Kuntz, J., & Cawthorpe, D. (2018) · The Permanente Journal · doi:10.7812/tpp/17-054 · Cited by 26

Relationship Between Motor Skills and Language Abilities in Children With Autism Spectrum Disorder

Wu, Y., Tsao, C.-H., Huang, H., Yang, T.-A., & Li, Y. (2021) · Physical Therapy · doi:10.1093/ptj/pzab033 · Cited by 24

Involvement of the habenula in the pathophysiology of autism spectrum disorder

Germann, J., Gouveia, F. V., Brentani, H., Bedford, S. A., Tullo, S., Chakravarty, M. M., & Devenyi, G. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-00603-0 · Cited by 25

Salience network connectivity is altered in 6-week-old infants at heightened likelihood for developing autism

Tsang, T., Green, S. A., Liu, J., Lawrence, K. E., Jeste, S., Bookheimer, S. Y., & Dapretto, M. (2024) · Communications Biology · doi:10.1038/s42003-024-06016-9 · Cited by 26

Newborn Auditory Brainstem Responses in Children with Developmental Disabilities

Delgado, C. F., Simpson, E. A., Zeng, G., Delgado, R. E., & Miron, O. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-05126-1 · Cited by 23

Functional connectivity during language processing in 3‐month‐old infants at familial risk for autism spectrum disorder

Tran, X. A., McDonald, N. M., Dickinson, A. H., Scheffler, A., Frohlich, J., Marin, A., Liu, C. K., Nosco, E., Şentürk, D., Dapretto, M., et al. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.15005 · Cited by 22

Autism Spectrum Disorder in Children: Early Signs and Therapeutic Interventions

Abualait, T., Alabbad, M., Kaleem, I., Imran, H., Khan, H. R., Kiyani, M. M., & Bashir, S. (2024) · Children · doi:10.3390/children11111311 · Cited by 39

Neuroenhancement by repetitive transcranial magnetic stimulation (rTMS) on DLPFC in healthy adults

Ebrahimzadeh, E., Sadjadi, S. M., Asgarinejad, M., Dehghani, A., Rajabion, L., & Hamid Soltanian-zadeh, A. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10195-w · Cited by 22

Beyond Baby Siblings—Expanding the Definition of “High-Risk Infants” in Autism Research

McDonald, N. M., & Jeste, S. (2021) · Current Psychiatry Reports · doi:10.1007/s11920-021-01243-x · Cited by 22

The use of data independent acquisition based proteomic analysis and machine learning to reveal potential biomarkers for autism spectrum disorder

Zhang, H., Tang, X., Feng, C., Gao, Y. L., Hong, Q., Zhang, J., Zhang, X., Zheng, Q., Jing, L., Liu, X., et al. (2023) · Journal of Proteomics · doi:10.1016/j.jprot.2023.104872 · Cited by 24

Autism spectrum disorder identification using multi‐model deep ensemble classifier with transfer learning

Herath, L., Meedeniya, D., Marasinghe, J. C., Weerasinghe, V. S., & Tan, T. (2024) · Expert Systems · doi:10.1111/exsy.13623 · Cited by 22

Identifying Children With Autism Spectrum Disorder via Transformer-Based Representation Learning From Dynamic Facial Cues

Xia, C., Chen, H., Han, J., Zhang, D., & Li, K. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3412032 · Cited by 23

Neurobiology, not artifacts: Challenges and guidelines for imaging the high risk infant

Denisova, K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.023 · Cited by 21

Mapping autism’s research landscape: trends in autism screening and its alignment with sustainable development goals

Nedungadi, P., Shah, S. M., Stokes, M. A., Nair, V. K., Moorkoth, A., & Raghu Raman, R. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1294254 · Cited by 27

“If He Has it, We Know What to Do”: Parent Perspectives on Familial Risk for Autism Spectrum Disorder

MacDuffie, K. E., Turner‐Brown, L., Estes, A. M., Wilfond, B. S., Dager, S. R., Pandey, J., Zwaigenbaum, L., Botteron, K. N., Pruett, J. R., Piven, J., et al. (2019) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsz076 · Cited by 20

Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns

Dekhil, O., Shalaby, A. M., Soliman, A., Mahmoud, A. H., Kong, M., Barnes, G. N., Elmaghraby, A. S., & El-Baz, A. S. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101899 · Cited by 19

Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations

Liu, M., Amey, R. C., Backer, R., Simon, J. P., & Forbes, C. E. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.875201 · Cited by 23

Translating precision medicine for autism spectrum disorder: A pressing need

Pérez‐Cano, L., Azidane, S., Sabido-Vera, R., Sirci, F., Durham, L., & Güney, E. (2023) · Drug Discovery Today · doi:10.1016/j.drudis.2023.103486 · Cited by 21

Associations between thalamocortical functional connectivity and sensory over-responsivity in infants at high likelihood for ASD

Wagner, L., Banchik, M., Okada, N. J., McDonald, N. M., Jeste, S., Bookheimer, S. Y., Green, S. A., & Dapretto, M. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad100 · Cited by 24

Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: a systematic review

Morrel, J., Singapuri, K., Landa, R. J., & Reetzke, R. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1211676 · Cited by 24

Developmental Dopaminergic Signaling Modulates Neural Circuit Formation and Contributes to Autism Spectrum Disorder–Related Phenotypes

Lu, X., Song, Y., Wang, J., Cai, Y., Peng, S., Lin, J., Lai, B., Sun, J., Liu, T., Chen, G., et al. (2024) · American Journal Of Pathology · doi:10.1016/j.ajpath.2024.02.014 · Cited by 19

In Context: A Developmental Model of Reward Processing, With Implications for Autism and Sensitive Periods

Clements, C. C., Ascunce, K., & Nelson, C. A. (2022) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.07.861 · Cited by 22

Epidural labour analgesia and autism spectrum disorder: is the current evidence sufficient to dismiss an association?

Butwick, A. J., Abrams, D. A., & Wong, C. A. (2022) · British Journal of Anaesthesia · doi:10.1016/j.bja.2021.12.017 · Cited by 18

Identification of diagnostic markers for ASD: a restrictive interest analysis based on EEG combined with eye tracking

Sun, B., Wang, B. K., Wei, Z., Feng, Z., Wu, Z.-L., Yassin, W., Stone, W. S., Lin, Y., & Kong, X. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1236637 · Cited by 20

Towards personalized precision functional mapping in infancy

Moore, L. A., Hermosillo, R. J. M., Feczko, E., Moser, J., Koirala, S., Allen, M. C., Buß, C., Conan, G., Juliano, A., Marr, M. C., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00165 · Cited by 18

Towards a Data-Driven Approach to Screen for Autism Risk at 12 Months of Age

Meera, S. S., Donovan, K., Wolff, J. J., Zwaigenbaum, L., Elison, J. T., Kinh, T., Shen, M. D., Estes, A. M., Hazlett, H. C., Watson, L. R., et al. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.10.015 · Cited by 16

Ensemble classification of autism spectrum disorder using structural magnetic resonance imaging features

Zhang‐James, Y., Buitelaar, J. K., The ENIGMA‐ASD Working Group, van Rooij, D., & Faraone, S. V. (2021) · JCPP Advances · doi:10.1002/jcv2.12042 · Cited by 17

The amplitude of fNIRS hemodynamic response in the visual cortex unmasks autistic traits in typically developing children

Mazziotti, R. M., Scaffei, E., Conti, E., Marchi, V., Rizzi, R., Cioni, G., Battini, R., & Baroncelli, L. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01820-5 · Cited by 16

Developing a Digitally Informed Curriculum in Psychiatry Education and Clinical Practice

Kim, J. W., Torous, J. B., Chan, S. R., & Gipson, S. Y.-M. T. (2018) · Academic Psychiatry · doi:10.1007/s40596-018-0895-5 · Cited by 16

Indices of repetitive behaviour are correlated with patterns of intrinsic functional connectivity in youth with autism spectrum disorder

Traynor, J. M., Doyle‐Thomas, K. A. R., Hanford, L. C., Foster, N. E. V., Tryfon, A., Hyde, K. L., Anagnostou, E. A., Evans, A. C., Zwaigenbaum, L., & Hall, G. B. (2018) · Brain Research · doi:10.1016/j.brainres.2018.02.009 · Cited by 19

Maternal and offspring methylenetetrahydrofolate‐reductase genotypes interact in a mouse model to induce autism spectrum disorder‐like behavior

Sadigurschi, N., & Golan, H. M. (2018) · Genes Brain & Behavior · doi:10.1111/gbb.12547 · Cited by 16

Uncovering neurodevelopmental paths to autism spectrum disorder through an integrated analysis of developmental measures and neural sensitivity to faces

Bussu, G., Llera, A., Jones, E. J. H., Tye, C., Charman, T., Johnson, M. H., Beckmann, C. F., & Buitelaar, J. K. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.190148 · Cited by 16

Presymptomatic Detection and Intervention for Autism Spectrum Disorder

MacDuffie, K. E., Estes, A. M., Harrington, L. T., Peay, H. L., Piven, J., Pruett, J. R., Wolff, J. J., & Wilfond, B. S. (2021) · PEDIATRICS · doi:10.1542/peds.2020-032250 · Cited by 18

Neuroergonomic assessment of developmental coordination disorder

Joshi, S., Weedon, B. D., Esser, P., Liu, Y.-C., Springett, D. N., Meaney, A., Inácio, M., Delextrat, A. A., Kemp, S., Ward, T. E., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-13966-9 · Cited by 15

Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents

Millevert, C., Vidas-Guscic, N., Vanherp, L., Jonckers, E., Verhoye, M., Staelens, S. G., Bertoglio, D., & Weckhuysen, S. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1043-23.2023 · Cited by 17

Mind the prevalence rate: overestimating the clinical utility of psychiatric diagnostic classifiers

Abu-Akel, A. M., Bousman, C., Skafidas, E. S., & Pantelis, C. (2018) · Psychological Medicine · doi:10.1017/s0033291718000673 · Cited by 15

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

The Ethics of Predicting Autism Spectrum Disorder in Infancy

MacDuffie, K. E., Estes, A. M., Peay, H. L., Pruett, J. R., & Wilfond, B. S. (2021) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2021.01.006 · Cited by 17

The Brain Basis of Comorbidity in Neurodevelopmental Disorders

Licari, M. K., Finlay‐jones, A. L., Reynolds, J. E., Alvares, G. A., Spittle, A. J., Downs, J. A., Whitehouse, A., Leonard, H., Evans, K. L., & Varcin, K. J. (2019) · Current Developmental Disorders Reports · doi:10.1007/s40474-019-0156-7 · Cited by 19

Metallomic profiling and natural copper isotopic signatures of childhood autism in serum and red blood cells

Ling, W., Zhao, G., Wang, W., Wang, C., Zhang, L., Zhang, H., Lü, D., Ruan, S., Zhang, A., Liu, Q. S., et al. (2023) · Chemosphere · doi:10.1016/j.chemosphere.2023.138700 · Cited by 14

Chronic inhibition of astrocytic aquaporin-4 induces autistic-like behavior in control rat offspring similar to maternal exposure to valproic acid

Davoudi, S., Rahdar, M., Hosseinmardi, N., Behzadi, G., & Janahmadi, M. (2023) · Physiology & Behavior · doi:10.1016/j.physbeh.2023.114286 · Cited by 14

Hidden Markov Models to Estimate the Probability of Having Autistic Children

Carvalho, E., Santana, C. P., Rodrigues, I. D., Lacerda, L., & Bastos, G. S. (2020) · IEEE Access · doi:10.1109/access.2020.2997334 · Cited by 15

Transient hearing abnormalities precede social deficits in a mouse model of autism

Pang, R., Yan, S., Tu, Y., Qian, S., Yu, H., Hu, X., Wen, H., Yuan, W., Wang, X., & Zhou, Y. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114149 · Cited by 13

Autism Spectrum Disorder: What Do We Know and Where Do We Go?

Leisman, G., & Melillo, R. J. (2025) · Brain Sciences · doi:10.3390/brainsci15091010 · Cited by 20

Disrupted dynamic network reconfiguration of the brain functional networks of individuals with autism spectrum disorder

Wang, M., Wang, L., Yang, B., Yuan, L., Wang, X., Potenza, M. N., & Dong, G. (2022) · Brain Communications · doi:10.1093/braincomms/fcac177 · Cited by 12

Early infant behavioural correlates of social skills in adolescents

Shoaff, J. R., Nugent, K., Brazelton, T. B., & Korrick, S. (2020) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12723 · Cited by 13

Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports

Dekhil, O., Ali, M. T., Shalaby, A. M., Mahmoud, A. H., Switala, A., Ghazal, M. A., Hajidiab, H., García-Zapirain, B., Elmaghraby, A. S., Keynton, R. S., et al. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00931-1_28 · Cited by 12

Brain exosomes as minuscule information hub for Autism Spectrum Disorder

Dean, D. D., Agarwal, S., Muthuswamy, S., & Asim, A. (2021) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2021.2000395 · Cited by 13

Atypical functional connectivity between the amygdala and visual, salience regions in infants with genetic liability for autism

Liu, J., Girault, J. B., Nishino, T., Shen, M. D., Kim, S. H., Burrows, C. A., Elison, J. T., Marrus, N. M., Wolff, J. J., Botteron, K. N., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae092 · Cited by 13

Cost-Effectiveness of MRI-Based Identification of Presymptomatic Autism in a High-Risk Population

Williamson, I. O., Elison, J. T., Wolff, J. J., & Runge, C. F. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00060 · Cited by 13

DSM-5 symptom expression in toddlers

Coulter, K. L., Barton, M. L., Robins, D. L., Stone, W. L., & FEIN, D. A. (2021) · Autism · doi:10.1177/13623613211000160 · Cited by 26

Oscillatory neural network alterations in young people with tuberous sclerosis complex and associations with co-occurring symptoms of autism spectrum disorder and attention-deficit/hyperactivity disorder

Shephard, E., McEwen, F. S., Earnest, T., Friedrich, N., Mörtl, I., Liang, H., Woodhouse, E., Tye, C., & Bolton, P. (2021) · Cortex · doi:10.1016/j.cortex.2021.10.007 · Cited by 12

A Prospective Evaluation of Infant Cerebellar-Cerebral Functional Connectivity in Relation to Behavioral Development in Autism Spectrum Disorder

Hawks, Z., Todorov, A. A., Marrus, N. M., Nishino, T., Talović, M., Nebel, M. B., Girault, J. B., Davis, S. C., Marek, S. A., Seitzman, B. A., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.12.004 · Cited by 13

Vocational-technical teachers' mindfulness: Does it matter for teachers’ well-being and motivation?

Huo, J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17184 · Cited by 22

Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment

Olson, H. A., Camacho, M. C., Abdurokhmonova, G., Ahmad, S., Chen, E. M., Chung, H., Lorenzo, R. D., Dineen, Á. T., Ganz, M., Licandro, R., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101539 · Cited by 14

Electrophysiological signatures of visual statistical learning in 3‐month‐old infants at familial and low risk for autism spectrum disorder

Marin, A., Hutman, T., Ponting, C., McDonald, N. M., Carver, L. J., Baker, E. J., Daniel, M., Dickinson, A. H., Dapretto, M., Johnson, S. P., et al. (2020) · Developmental Psychobiology · doi:10.1002/dev.21971 · Cited by 11

Using Pattern Classification to Identify Brain Imaging Markers in Autism Spectrum Disorder

Andrews, D. S., Marquand, A. F., Ecker, C., & McAlonan, G. M. (2018) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_47 · Cited by 14

ENACT (ENvironmental enrichment for infants; parenting with Acceptance and Commitment Therapy): a randomised controlled trial of an innovative intervention for infants at risk of autism spectrum disorder

Whittingham, K., McGlade, A., Kulasinghe, K., Mitchell, A. E., Heussler, H., & Boyd, R. N. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034315 · Cited by 13

Autism Spectrum Disorders

Marrus, N. M., & Constantino, J. N. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.23581-5 · Cited by 12

Machine-learning based prediction of future outcome using multimodal MRI during early childhood

Ouyang, M., Whitehead, M. T., Mohapatra, S., Zhu, T., & Huang, H. (2024) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2024.101561 · Cited by 12

FMRI correlates of olfactory processing in typically-developing school-aged children

Kleinhans, N. M., Reilly, M. A., Blake, M., Greco, G., Sweigert, J., Davis, G. E., Velásquez, F., Reitz, F. B., Shusterman, D. J., & Dager, S. R. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.11.011 · Cited by 10

Understanding the nature of face processing in early autism: A prospective studyPreprint

Tye, C., Bussu, G., Gliga, T., Elsabbagh, M., Pasco, G., Johnsen, K., Charman, T., Jones, E. J. H., Buitelaar, J. K., Johnson, M. H., et al. (2020) · medRxiv · doi:10.1101/2020.05.06.20092619 · Cited by 10

Neurodevelopmental disorders: 2021 update

Zamora‐Moratalla, A., de Lagrán, M. M., & Dierssen, M. (2021) · Free Neuropathology · doi:10.17879/freeneuropathology-2021-3268 · Cited by 13

Multi-site EEG studies in early infancy: Methods to enhance data quality

Dickinson, A. H., Booth, M., Daniel, M., Campbell, A., Miller, N. C., Lau, B. K., Zempel, J. M., Webb, S. J., Elison, J. T., Lee, A. K. C., et al. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101425 · Cited by 9

Aberrant brain functional and structural developments in MECP2 duplication rats

Xu, M. Q., Qi, S., Calhoun, V. D., Dai, J., Yu, B., Zhang, K., Pei, M., Li, C., Wei, Y., Jiang, R., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105838 · Cited by 9

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