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

Citation #250

Bibliographic concordance score: 92.5/100 (very high correspondence)

Cited reference

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.

Identified reference

Validated match

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 #251

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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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.

Best automated candidate

No validated match

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

Citation #252

Bibliographic concordance score: 25.2/100 (very low correspondence)

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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.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #253

Bibliographic concordance score: 100/100 (very high correspondence)

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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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Validated match

Menon, Vinod; Uddin, Lucina Q. (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

Source: Study Published on: 13 Nov 2025

Citation #254

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #255

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #256

Bibliographic concordance score: 75/100 (partial correspondence)

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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.

Best automated candidate

Ambiguous match

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

Source: Study Published on: 13 Nov 2025

Citation #257

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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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.

Best automated candidate

No validated match

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

Citation #258

Bibliographic concordance score: 67.5/100 (partial correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #259

Bibliographic concordance score: 100/100 (very high correspondence)

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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.

Identified reference

Validated match

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

Source: Study Published on: 13 Nov 2025

Citation #260

Bibliographic concordance score: 62.7/100 (partial correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #261

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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 #262

Bibliographic concordance score: 65/100 (partial correspondence)

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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.

Best automated candidate

Ambiguous match

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 #263

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #264

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

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

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Validated match

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

Source: Study Published on: 13 Nov 2025

Citation #265

Bibliographic concordance score: 33.3/100 (low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #266

Bibliographic concordance score: 26.7/100 (very low correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #267

Bibliographic concordance score: 100/100 (very high correspondence)

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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.

Identified reference

Validated match

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

Source: Study Published on: 13 Nov 2025

Citation #268

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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 #269

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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 #270

Bibliographic concordance score: 2.3/100 (very low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Beck, Aaron T.; Haigh, Emily A.P. (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 #271

Bibliographic concordance score: 91.7/100 (very high correspondence)

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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.

Best automated candidate

Ambiguous match

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 #272

Bibliographic concordance score: 31.2/100 (low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #273

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #274

Bibliographic concordance score: 7.2/100 (very low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

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 #275

Bibliographic concordance score: 13.3/100 (very low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #276

Bibliographic concordance score: 57.5/100 (low correspondence)

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Cited reference

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

Best automated candidate

No validated match

Uddin, Lucina Q. (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 #277

Bibliographic concordance score: 75/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

Ambiguous match

Assaf, Michal; Jagannathan, Kanchana; Calhoun, Vince D. (2010). Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.05.067

Source: Study Published on: 13 Nov 2025

Citation #278

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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 #279

Bibliographic concordance score: 75/100 (partial correspondence)

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Cited reference

Lombardo, M. V., Chakrabarti, B., Bullmore, E. T., & Baron-Cohen, S. (2010). Atypical neural self-representation in autism. Brain, 133(2), 611-624.

Best automated candidate

Ambiguous match

Lombardo MV; Chakrabarti B; Bullmore ET (2010). Atypical neural self-representation in autism. Brain: a journal of neurology, Crossref+PubMed, Crossref+PubMed. https://doi.org/10.1093/brain/awp306

Source: Study Published on: 13 Nov 2025

Citation #280

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #281

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #282

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

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

Identified reference

Validated match

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

Source: Study Published on: 13 Nov 2025

Citation #283

Bibliographic concordance score: 34.6/100 (low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Weng, Jun Cheng; Wang, Natalie Y; Jui Li, Cheng (2018). Resting-State Functional Connectivity within Default Mode Network in Chinese-speaking Children with Specific Learning Disabilities. Neuropsychiatry. https://doi.org/10.4172/neuropsychiatry.1000414

Source: Study Published on: 13 Nov 2025

Citation #284

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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Cited reference

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.

Best automated candidate

No validated match

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

Citation #285

Bibliographic concordance score: 67.5/100 (partial correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #286

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

Di Martino, A., Ross, K., Uddin, L. Q., Sklar, A. B., Castellanos, F. X., & Milham, M. P. (2009). Functional brain correlates of social and nonsocial processes in autism spectrum disorders: An activation likelihood estimation meta-analysis. Biological Psychiatry.

Identified reference

Validated match

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

Source: Study Published on: 13 Nov 2025

Citation #287

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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 #288

Bibliographic concordance score: 62.5/100 (partial correspondence)

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Cited reference

Fishman, I., Linke, A. C., Hau, J., Carper, R. A., Müller, R. -A. (2018). Atypical functional connectivity of the amygdala in children and adults with autism spectrum disorders. NeuroImage: Clinical, 18, 650-659.

Best automated candidate

No validated match

Fishman, Inna; Linke, Annika C.; Hau, Janice (2018). Atypical Functional Connectivity of Amygdala Related to Reduced Symptom Severity in Children With Autism. Journal of the American Academy of Child & Adolescent Psychiatry. https://doi.org/10.1016/j.jaac.2018.06.015

Source: Study Published on: 13 Nov 2025

Citation #289

Bibliographic concordance score: 50/100 (low correspondence)

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Cited reference

Herrington, J. D., et al. (2017). Amygdala-prefrontal connectivity during emotion regulation in autism spectrum disorder. NeuroImage, 148, 1-11.

Best automated candidate

No validated match

JA Weiss; PB Riosa; CA Mazefsky (2017). Emotion regulation in autism spectrum disorder. https://doi.org/google scholar

Source: Study Published on: 13 Nov 2025

Citation #290

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

Pessoa, L. (2017). A network model of the emotional brain. Trends in Cognitive Sciences, 21(5), 357-371.

Identified reference

Validated match

Pessoa, Luiz (2017). A Network Model of the Emotional Brain. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2017.03.002

Source: Study Published on: 13 Nov 2025

Citation #291

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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 #292

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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Cited reference

Salmond, C. H., Vargha-Khadem, F., Gadian, D. G., de Haan, M., & Baldeweg, T. (2020). Memory generalization and hippocampal structure in adults with autism. Hippocampus, 30(12), 1231-1243.

Best automated candidate

No validated match

J Long; H Li; Y Liu (2024). Insights into the structure and function of the hippocampus: implications for the pathophysiology and treatment of autism spectrum disorder. Frontiers in. https://doi.org/10.3389/fpsyt.2024.1364858/full

Source: Study Published on: 13 Nov 2025

Citation #293

Bibliographic concordance score: 75/100 (partial correspondence)

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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.

Best automated candidate

Ambiguous match

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 #294

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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Cited reference

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.

Best automated candidate

No validated match

Y Chen; X Zheng; M Wen (2021). The volume alterations of the amygdala in autism spectrum disorder: a meta-analysis on MRI study. https://doi.org/google scholar

Source: Study Published on: 13 Nov 2025

Citation #295

Bibliographic concordance score: 29.2/100 (very low correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #296

Bibliographic concordance score: 67.8/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

Ambiguous match

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

Source: Study Published on: 13 Nov 2025

Citation #297

Bibliographic concordance score: 34.4/100 (low correspondence)

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Cited reference

D’Mello, A. M., Crocetti, D., Mostofsky, S. H., & Stoodley, C. J. (2015). Cerebellar contributions to atypical cognition in autism. Frontiers in Neuroscience, 9, 268.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #298

Bibliographic concordance score: 24.3/100 (very low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

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

Source: Study Published on: 13 Nov 2025

Citation #299

Bibliographic concordance score: 52.8/100 (low correspondence)

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Cited reference

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

Best automated candidate

No validated match

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

Bibliographic concordance score: 47.5/100 (low correspondence)

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Cited reference

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.

Best automated candidate

No validated match

McKinney, Alexander M. (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

Bibliographic concordance score: 92.5/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

Schmahmann, J. D. (2019). The cerebellum and cognition. Neuroscience Letters, 688, 62-75.

Identified reference

Validated match

Schmahmann, Jeremy D. (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

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 75/100 (partial correspondence)

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Cited reference

Stoodley, C. J. (2016). The cerebellum and neurodevelopmental disorders. Handbook of Clinical Neurology, 155, 125-144.

Best automated candidate

Ambiguous match

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

Source: Study Published on: 13 Nov 2025

Citation #305

Bibliographic concordance score: 0/100 (No corresponding reference identified)

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Cited reference

Wang, S. S., et al. (2019). Altered cerebello-prefrontal connectivity in adults with autism spectrum disorder: Implications for predictive processing. NeuroImage: Clinical, 24, 102011.

Best automated candidate

No validated match

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

Bibliographic concordance score: 92.5/100 (very high correspondence)

View record

Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 100/100 (very high correspondence)

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Cited reference

Feldman, H., & Friston, K. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.

Identified reference

Validated match

Feldman, Harriet; Friston, Karl J. (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

Bibliographic concordance score: 65/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 91.7/100 (very high correspondence)

View record

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.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 92.5/100 (very high correspondence)

View record

Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 57.5/100 (low correspondence)

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Cited reference

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

Best automated candidate

No validated match

Uddin, Lucina Q. (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

Bibliographic concordance score: 63.6/100 (partial correspondence)

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Cited reference

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.

Best automated candidate

No validated match

Ecker, Christine (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

Bibliographic concordance score: 100/100 (very high correspondence)

View record

Cited reference

Feldman, H., & Friston, K. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.

Identified reference

Validated match

Feldman, Harriet; Friston, Karl J. (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

Bibliographic concordance score: 100/100 (very high correspondence)

View record

Cited reference

Friston, K. (2018). Does predictive coding have a future? Nature Neuroscience, 21(8), 1019-1021.

Identified reference

Validated match

Friston, Karl (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

Bibliographic concordance score: 65/100 (partial correspondence)

View record

Cited reference

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.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 40/100 (low correspondence)

View record

Cited reference

Dapretto, M. (2018). Neurobiology of sensory overresponsivity in adults with autism spectrum disorder. JAMA Psychiatry, 75(6), 556-564.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 2.3/100 (very low correspondence)

View record

Cited reference

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.

Best automated candidate

No validated match

Beck, Aaron T.; Haigh, Emily A.P. (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

Bibliographic concordance score: 91.7/100 (very high correspondence)

View record

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.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 100/100 (very high correspondence)

View record

Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 92.5/100 (very high correspondence)

View record

Cited reference

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.

Identified reference

Validated match

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

Bibliographic concordance score: 7.2/100 (very low correspondence)

View record

Cited reference

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.

Best automated candidate

No validated match

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

Bibliographic concordance score: 75/100 (partial correspondence)

View record

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.

Best automated candidate

Ambiguous match

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

Bibliographic concordance score: 57.5/100 (low correspondence)

View record

Cited reference

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

Best automated candidate

No validated match

Uddin, Lucina Q. (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

Bibliographic concordance score: 0/100 (No corresponding reference identified)

View record

Cited reference

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.

Best automated candidate

No validated match

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

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

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