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Variabilité neuro-architecturale dans l’autisme adulte: vers une cartographie morpho-fonctionnelle

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Published on: 13 Nov 2025

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Citation #251

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Ypma, R. J. F., et al. (2020). Different brain network organization in adults with autism spectrum disorder: A resting-state fMRI study. Nature Communications, 11(1), 4768.

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N Yoon; Y Huh; H Lee (2022). Alterations in social brain network topology at rest in children with autism spectrum disorder. Psychiatry. https://doi.org/google scholar

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Citation #252

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Chen, H., et al. (2020). Disrupted salience network connectivity in adults with autism spectrum disorder: Insights from ABIDE-II. Cerebral Cortex, 30(9), 4725-4738.

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Gong, JiaYing; Chen, Guanmao; Jia, Yanbin (2019). Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. https://doi.org/10.1016/j.pnpbp.2018.06.012

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Citation #253

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Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention, and control: A network model of insula function. Brain Structure and Function, 214(5-6), 655-667.

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Menon, Vinod; Uddin, Lucina Q.; Crossref (2010). Saliency, switching, attention and control: a network model of insula function. Brain Structure and Function. https://doi.org/10.1007/s00429-010-0262-0

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Citation #254

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Citation #255

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Simmonite, M., et al. (2021). Microstructural integrity of salience network tracts in adults with autism spectrum disorder. NeuroImage: Clinical, 32, 102839.

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Luo, Qiang; Pan, Baobao; Gu, Huaguang (2020). Effective connectivity of the right anterior insula in schizophrenia: The salience network and task-negative to task-positive transition. NeuroImage: Clinical. https://doi.org/10.1016/j.nicl.2020.102377

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Citation #256

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Uddin, L. Q., et al. (2017). Reconceptualizing functional brain connectivity in autism from a developmental perspective. Frontiers in Human Neuroscience, 11, 173.

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Uddin, Lucina Q.; Supekar, Kaustubh; Menon, Vinod (2013). Reconceptualizing functional brain connectivity in autism from a developmental perspective. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00458

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Citation #257

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Ypma, R. J. F., et al. (2020). Different brain network organization in adults with autism spectrum disorder: A resting-state fMRI study. Nature Communications, 11(1), 4768.

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N Yoon; Y Huh; H Lee (2022). Alterations in social brain network topology at rest in children with autism spectrum disorder. Psychiatry. https://doi.org/google scholar

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Citation #258

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Zhao, L., et al. (2023). Insula-cingulate coupling and sensory hyperreactivity in adults with autism spectrum disorder. Human Brain Mapping, 44(2), 589-602.

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Zhao, Weihua; Zhang, Xiaolu; Zhou, Xinqi (2022). Depression mediates the association between insula-frontal functional connectivity and social interaction anxiety. Human Brain Mapping. https://doi.org/10.1002/hbm.25952

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Citation #259

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Cerliani, L., Mennes, M., Thomas, R. M., Di Martino, A., Thioux, M., & Keysers, C. (2015). Increased functional connectivity between subcortical and cortical resting-state networks in autism spectrum disorder. JAMA Psychiatry, 72(8), 767-777.

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Cerliani, Leonardo; Mennes, Maarten; Thomas, Rajat M. (2015). Increased Functional Connectivity Between Subcortical and Cortical Resting-State Networks in Autism Spectrum Disorder. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2015.0101

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Citation #260

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Chen, H., et al. (2022). Structural thalamic alterations and sensory hyperreactivity in adults with autism spectrum disorder: A meta-analysis. NeuroImage: Clinical, 35, 103094.

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Chen, Yunhua; Zheng, Xiaoli; wang, xue (2021). The Volume Alterations of the Amygdala in Autism Spectrum Disorder: A Meta-Analysis on MRI Study. https://doi.org/10.21203/rs.3.rs-757558/v1

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Citation #261

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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

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Citation #262

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Green, S. A., Hernandez, L., Tottenham, N., Krasileva, K., Bookheimer, S. Y., & Dapretto, M. (2018). Neurobiology of sensory overresponsivity in adults with autism spectrum disorder. JAMA Psychiatry, 75(6), 556-564.

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Green, Shulamite A.; Hernandez, Leanna; Tottenham, Nim (2015). Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2015.0737

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Citation #263

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Citation #264

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Sherman, S. M. (2016). Thalamus plays a central role in ongoing cortical functioning. Nature Neuroscience, 19(4), 533-541.

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Sherman, S Murray; Crossref; Crossref (2016). Thalamus plays a central role in ongoing cortical functioning. Nature Neuroscience. https://doi.org/10.1038/nn.4269

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Citation #265

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Woodward, N. D., Cascio, C. J., & Haist, F. (2017). Thalamocortical dysconnectivity in autism spectrum disorder: Evidence from resting-state fMRI and DTI. Human Brain Mapping, 38(2), 1090-1105.

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Giraldo-Chica, Monica; Woodward, Neil D.; Crossref (2017). Review of thalamocortical resting-state fMRI studies in schizophrenia. Schizophrenia Research. https://doi.org/10.1016/j.schres.2016.08.005

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Citation #266

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Zhao, L., et al. (2020). Differential thalamocortical microstructure and sensory processing in adults with autism spectrum disorder. Cerebral Cortex, 30(11), 5962-5975.

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Zhao, Shuo; Uono, Shota; Yoshimura, Sayaka (2018). A functional but atypical self: Influence of self-relevant processing on the gaze cueing effect in autism spectrum disorder. Autism Research. https://doi.org/10.1002/aur.2019

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Citation #267

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Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013). Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience, 16(9), 1348-1355.

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Cole, Michael W; Reynolds, Jeremy R; Power, Jonathan D (2013). Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience. https://doi.org/10.1038/nn.3470

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Citation #268

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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

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Citation #269

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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

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Citation #270

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Haigh, S. M., Heeger, D. J., & Minshew, N. J. (2022). Longitudinal associations between frontoparietal connectivity and cognitive rigidity in autism spectrum disorder. NeuroImage: Clinical, 36, 103217.

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Beck, Aaron T.; Haigh, Emily A.P.; Crossref (2014). Advances in Cognitive Theory and Therapy: The Generic Cognitive Model. Annual Review of Clinical Psychology. https://doi.org/10.1146/annurev-clinpsy-032813-153734

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Citation #271

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Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., & Varma, S. (2012). Autism as a neural systems disorder: A theory of frontal-parietal underconnectivity. Neuroscience & Biobehavioral Reviews, 36(4), 1292-1313.

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Just, Marcel Adam; Keller, Timothy A.; Malave, Vicente L. (2012). Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2012.02.007

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Citation #272

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Keown, C. L., Shih, P., Nair, A., Peterson, N., Mulvey, M. E., & Müller, R. -A. (2017). Local functional overconnectivity in fronto-parietal control networks in autism. Brain, 140(7), 2051-2066.

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Keown, Christopher Lee; Shih, Patricia; Nair, Aarti (2013). Local Functional Overconnectivity in Posterior Brain Regions Is Associated with Symptom Severity in Autism Spectrum Disorders. Cell Reports. https://doi.org/10.1016/j.celrep.2013.10.003

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Citation #273

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Citation #274

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Sato, J. R., et al. (2019). Fronto-parietal dysconnectivity in adults with autism spectrum disorder: A meta-analytic review of resting-state fMRI studies. Cortex, 119, 479-495.

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Macêdo, Marcos Antônio; Sato, Joao Ricardo; Bressan, Rodrigo A. (2022). Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. Brazilian Journal of Psychiatry. https://doi.org/10.47626/1516-4446-2021-2032

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Citation #275

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Schmitz, N., Rubia, K., Daly, E., Smith, A., & Murphy, D. G. M. (2020). Neural correlates of cognitive flexibility and rigidity in adults with autism spectrum disorder. Human Brain Mapping, 41(4), 981-992.

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Schmitz, Florian; Krämer, Raimund J.; Crossref (2023). Task Switching: On the Relation of Cognitive Flexibility with Cognitive Capacity. Journal of Intelligence. https://doi.org/10.3390/jintelligence11040068

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Uddin, L. Q. (2021). Cognitive and neural flexibility in autism spectrum disorder: Implications for neurobiological models. Current Opinion in Behavioral Sciences, 38, 73-81.

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Uddin, Lucina Q.; Crossref; Crossref (2021). Cognitive and behavioural flexibility: neural mechanisms and clinical considerations. Nature Reviews Neuroscience. https://doi.org/10.1038/s41583-021-00428-w

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Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O’Boyle, J. G., Schultz, R. T., & Pearlson, G. D. (2013). Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage, 53(1), 247-256.

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Citation #278

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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

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Citation #279

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Citation #281

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Citation #282

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Raichle, M. E. (2015). The brain’s default mode network. Annual Review of Neuroscience, 38, 433-447.

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Raichle, Marcus E.; Crossref; Crossref (2015). The Brain's Default Mode Network. Annual Review of Neuroscience. https://doi.org/10.1146/annurev-neuro-071013-014030

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Weng, S. -J., et al. (2022). Dynamic functional connectivity of the default mode network in adults with autism spectrum disorder. Human Brain Mapping, 43(7), 2134-2149.

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Citation #284

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Ypma, R. J. F., et al. (2020). Different brain network organization in adults with autism spectrum disorder: A resting-state fMRI study. Nature Communications, 11(1), 4768.

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N Yoon; Y Huh; H Lee (2022). Alterations in social brain network topology at rest in children with autism spectrum disorder. Psychiatry. https://doi.org/google scholar

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Citation #285

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Zhao, L., et al. (2023). Insula-cingulate coupling and sensory hyperreactivity in adults with autism spectrum disorder. Human Brain Mapping, 44(2), 589-602.

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Zhao, Weihua; Zhang, Xiaolu; Zhou, Xinqi (2022). Depression mediates the association between insula-frontal functional connectivity and social interaction anxiety. Human Brain Mapping. https://doi.org/10.1002/hbm.25952

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Di Martino, Adriana; Ross, Kathryn; Uddin, Lucina Q. (2009). Functional Brain Correlates of Social and Nonsocial Processes in Autism Spectrum Disorders: An Activation Likelihood Estimation Meta-Analysis. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2008.09.022

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Citation #287

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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

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Citation #288

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Citation #289

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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

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Yu, H., et al. (2019). Reduced amygdala and hippocampal volumes in adults with autism spectrum disorder: A voxel-based meta-analysis. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 93, 75-84.

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Citation #295

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Zhao, L., et al. (2022). Limbic network dysconnectivity and memory overgeneralization in adults with autism spectrum disorder. Cerebral Cortex, 32(9), 1846-1859.

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Cai, Yun; Zhao, Jinghui; Wang, Lian (2022). Altered topological properties of white matter structural network in adults with autism spectrum disorder. Asian Journal of Psychiatry. https://doi.org/10.1016/j.ajp.2022.103211

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Courchesne, E., Mouton, P. R., Calhoun, M. E., Semendeferi, K., Ahrens-Barbeau, C., Hallet, M. J., Barnes, C. C., & Pierce, K. (2011). Neuron number and size in prefrontal cortex and cerebellum in autism. Neuron, 70(5), 905-918.

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Courchesne, Eric; Mouton, Peter R.; Calhoun, Michael E. (2011). Neuron Number and Size in Prefrontal Cortex of Children With Autism. JAMA. https://doi.org/10.1001/jama.2011.1638

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Frosch, Isabelle R.; Mittal, Vijay A.; D’Mello, Anila M. (2022). Cerebellar Contributions to Social Cognition in ASD: A Predictive Processing Framework. Frontiers in Integrative Neuroscience. https://doi.org/10.3389/fnint.2022.810425

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Citation #298

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D’Mello, A. M., Moore, D. M., Crocetti, D., & Stoodley, C. J. (2016). Cerebellar grey matter and cognitive flexibility in adults with autism spectrum disorder. NeuroImage: Clinical, 10, 38-49.

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Moore, Dorothea M.; D’Mello, Anila M.; McGrath, Lauren M. (2017). The developmental relationship between specific cognitive domains and grey matter in the cerebellum. Developmental Cognitive Neuroscience. https://doi.org/10.1016/j.dcn.2016.12.001

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Citation #299

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Larsen, B., et al. (2021). Structural cerebellar differences in adults with autism: Evidence from multi-site morphometric analysis. Cerebellum, 20(2), 207-220.

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Larsen, Hannah; Budka, Marcin; Bennett, Matthew R. (2021). Technological innovation in the recovery and analysis of 3D forensic footwear evidence: Structure from motion (SfM) photogrammetry. Science & Justice. https://doi.org/10.1016/j.scijus.2021.04.003

Source: Study Published on: 13 Nov 2025

Citation #300

General score: 47.5/100 (No reliable match: title too different)
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McKinney, Z. A., et al. (2022). Temporal prediction errors and cerebellar activation during rule switching in autism spectrum disorder. Brain Imaging and Behavior, 16(4), 1293-1307.

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McKinney, Alexander M.; Crossref; Crossref (2017). Cerebellar Tonsillar Ectopia. Atlas of Normal Imaging Variations of the Brain, Skull, and Craniocervical Vasculature. https://doi.org/10.1007/978-3-319-39790-0_2

Source: Study Published on: 13 Nov 2025

Citation #301

General score: 92.5/100 (Perfect or near-perfect match)
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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

Source: Study Published on: 13 Nov 2025

Citation #302

General score: 100/100 (Perfect or near-perfect match)
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Schmahmann, J. D. (2019). The cerebellum and cognition. Neuroscience Letters, 688, 62-75.

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Schmahmann, Jeremy D.; Crossref; Crossref (2019). The cerebellum and cognition. Neuroscience Letters. https://doi.org/10.1016/j.neulet.2018.07.005

Source: Study Published on: 13 Nov 2025

Citation #303

General score: 100/100 (Perfect or near-perfect match)
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Sokolov, A. A., Miall, R. C., & Ivry, R. B. (2017). The cerebellum: Adaptive prediction for movement and cognition. Trends in Cognitive Sciences, 21(5), 313-332.

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Sokolov, Arseny A.; Miall, R. Chris; Ivry, Richard B. (2017). The Cerebellum: Adaptive Prediction for Movement and Cognition. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2017.02.005

Source: Study Published on: 13 Nov 2025

Citation #304

General score: 75/100 (Strong title match, but metadata remain uncertain)
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Stoodley, C. J. (2016). The cerebellum and neurodevelopmental disorders. Handbook of Clinical Neurology, 155, 125-144.

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Stoodley CJ; Crossref+PubMed; Crossref+PubMed (2016). The Cerebellum and Neurodevelopmental Disorders. Cerebellum (London, England), Crossref+PubMed, Crossref+PubMed. https://doi.org/10.1007/s12311-015-0715-3

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Citation #305

General score: 0/100 (False positive: no match retained)
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Wang, S. S., et al. (2019). Altered cerebello-prefrontal connectivity in adults with autism spectrum disorder: Implications for predictive processing. NeuroImage: Clinical, 24, 102011.

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Dai, Zhen; Yang, Lan; Li, Zhifeng (2026). Altered Higher-Order Structural and Functional Connectivity Coupling in Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07259-7

Source: Study Published on: 13 Nov 2025

Citation #306

General score: 92.5/100 (Perfect or near-perfect match)
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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

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Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

Source: Study Published on: 13 Nov 2025

Citation #307

General score: 100/100 (Perfect or near-perfect match)
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Feldman, H., & Friston, K. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.

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Feldman, Harriet; Friston, Karl J.; Crossref (2010). Attention, Uncertainty, and Free-Energy. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2010.00215

Source: Study Published on: 13 Nov 2025

Citation #308

General score: 65/100 (Weak title match and uncertain metadata)
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Green, S. A., Hernandez, L., Tottenham, N., Krasileva, K., Bookheimer, S. Y., & Dapretto, M. (2018). Neurobiology of sensory overresponsivity in adults with autism spectrum disorder. JAMA Psychiatry, 75(6), 556-564.

Matched reference

Green, Shulamite A.; Hernandez, Leanna; Tottenham, Nim (2015). Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2015.0737

Source: Study Published on: 13 Nov 2025

Citation #309

General score: 91.7/100 (Weak title match and uncertain metadata)
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Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., & Varma, S. (2012). Autism as a neural systems disorder: A theory of frontal-parietal underconnectivity. Neuroscience & Biobehavioral Reviews, 36(4), 1292-1313.

Matched reference

Just, Marcel Adam; Keller, Timothy A.; Malave, Vicente L. (2012). Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2012.02.007

Source: Study Published on: 13 Nov 2025

Citation #310

General score: 92.5/100 (Perfect or near-perfect match)
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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

Matched reference

Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

Source: Study Published on: 13 Nov 2025

Citation #311

General score: 57.5/100 (No reliable match: title too different)
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Uddin, L. Q. (2021). Cognitive and neural flexibility in autism spectrum disorder: Implications for neurobiological models. Current Opinion in Behavioral Sciences, 38, 73-81.

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Uddin, Lucina Q.; Crossref; Crossref (2021). Cognitive and behavioural flexibility: neural mechanisms and clinical considerations. Nature Reviews Neuroscience. https://doi.org/10.1038/s41583-021-00428-w

Source: Study Published on: 13 Nov 2025

Citation #312

General score: 63.6/100 (No reliable match: title too different)
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Ecker, C., et al. (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their neurodevelopmental implications. Neuroscience & Biobehavioral Reviews, 83, 70-89.

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Ecker, Christine; Crossref; Crossref (2017). The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. https://doi.org/10.1177/1362361315627136

Source: Study Published on: 13 Nov 2025

Citation #313

General score: 100/100 (Perfect or near-perfect match)
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Feldman, H., & Friston, K. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.

Matched reference

Feldman, Harriet; Friston, Karl J.; Crossref (2010). Attention, Uncertainty, and Free-Energy. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2010.00215

Source: Study Published on: 13 Nov 2025

Citation #314

General score: 100/100 (Perfect or near-perfect match)
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Friston, K. (2018). Does predictive coding have a future? Nature Neuroscience, 21(8), 1019-1021.

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Friston, Karl; Crossref; Crossref (2018). Does predictive coding have a future?. Nature Neuroscience. https://doi.org/10.1038/s41593-018-0200-7

Source: Study Published on: 13 Nov 2025

Citation #315

General score: 65/100 (Weak title match and uncertain metadata)
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Green, S. A., Hernandez, L., Tottenham, N., Krasileva, K., Bookheimer, S. Y., & Dapretto, M. (2018). Neurobiology of sensory overresponsivity in adults with autism spectrum disorder. JAMA Psychiatry, 75(6), 556-564.

Matched reference

Green, Shulamite A.; Hernandez, Leanna; Tottenham, Nim (2015). Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2015.0737

Source: Study Published on: 13 Nov 2025

Citation #316

General score: 40/100 (Weak title match and uncertain metadata)
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Dapretto, M. (2018). Neurobiology of sensory overresponsivity in adults with autism spectrum disorder. JAMA Psychiatry, 75(6), 556-564.

Matched reference

Green, Shulamite A.; Hernandez, Leanna; Tottenham, Nim (2015). Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2015.0737

Source: Study Published on: 13 Nov 2025

Citation #317

General score: 2.3/100 (No reliable match: title too different)
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Haigh, S. M., Heeger, D. J., & Minshew, N. J. (2022). Longitudinal associations between frontoparietal connectivity and cognitive rigidity in autism spectrum disorder. NeuroImage: Clinical, 36, 103217.

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Beck, Aaron T.; Haigh, Emily A.P.; Crossref (2014). Advances in Cognitive Theory and Therapy: The Generic Cognitive Model. Annual Review of Clinical Psychology. https://doi.org/10.1146/annurev-clinpsy-032813-153734

Source: Study Published on: 13 Nov 2025

Citation #318

General score: 91.7/100 (Weak title match and uncertain metadata)
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Cited reference

Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., & Varma, S. (2012). Autism as a neural systems disorder: A theory of frontal-parietal underconnectivity. Neuroscience & Biobehavioral Reviews, 36(4), 1292-1313.

Matched reference

Just, Marcel Adam; Keller, Timothy A.; Malave, Vicente L. (2012). Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2012.02.007

Source: Study Published on: 13 Nov 2025

Citation #319

General score: 100/100 (Perfect or near-perfect match)
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Padmanabhan, A., Lynch, C. J., Schaer, M., & Menon, V. (2017). The default mode network in autism. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(6), 476-486.

Matched reference

Padmanabhan, Aarthi; Lynch, Charles J.; Schaer, Marie (2017). The Default Mode Network in Autism. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2017.04.004

Source: Study Published on: 13 Nov 2025

Citation #320

General score: 92.5/100 (Perfect or near-perfect match)
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Postema, M. C., et al. (2020). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 11(1), 4438.

Matched reference

Postema, Merel C.; van Rooij, Daan; Anagnostou, Evdokia (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications. https://doi.org/10.1038/s41467-019-13005-8

Source: Study Published on: 13 Nov 2025

Citation #321

General score: 7.2/100 (No reliable match: title too different)
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Sato, J. R., et al. (2019). Fronto-parietal dysconnectivity in adults with autism spectrum disorder: A meta-analytic review of resting-state fMRI studies. Cortex, 119, 479-495.

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Macêdo, Marcos Antônio; Sato, Joao Ricardo; Bressan, Rodrigo A. (2022). Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. Brazilian Journal of Psychiatry. https://doi.org/10.47626/1516-4446-2021-2032

Source: Study Published on: 13 Nov 2025

Citation #322

General score: 75/100 (Exact title, but year differs)
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Cited reference

Schumann, C. M., et al. (2011). Amygdala enlargement in toddlers with autism related to severity of social and communication impairments. Biological Psychiatry, 70(9), 839-848.

Matched reference

Schumann, Cynthia Mills; Barnes, Cynthia Carter; Lord, Catherine (2009). Amygdala Enlargement in Toddlers with Autism Related to Severity of Social and Communication Impairments. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2009.07.007

Source: Study Published on: 13 Nov 2025

Citation #323

General score: 57.5/100 (No reliable match: title too different)
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Uddin, L. Q. (2021). Cognitive and neural flexibility in autism spectrum disorder: Implications for neurobiological models. Current Opinion in Behavioral Sciences, 38, 73-81.

Matched reference

Uddin, Lucina Q.; Crossref; Crossref (2021). Cognitive and behavioural flexibility: neural mechanisms and clinical considerations. Nature Reviews Neuroscience. https://doi.org/10.1038/s41583-021-00428-w

Source: Study Published on: 13 Nov 2025

Citation #324

General score: 0/100 (False positive: no match retained)
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Ypma, R. J. F., et al. (2020). Different brain network organization in adults with autism spectrum disorder: A resting-state fMRI study. Nature Communications, 11(1), 4768.

Matched reference

N Yoon; Y Huh; H Lee (2022). Alterations in social brain network topology at rest in children with autism spectrum disorder. Psychiatry. https://doi.org/google scholar

Source: Study Published on: 13 Nov 2025