Identifying Diagnostic Biomarkers for Autism Spectrum Disorder From Higher-order Interactions Using the PED Algorithm

Abdallah, S. A., & Plumbley, M. D. (2012). A measure of statistical complexity based on predictive information with application to finite spin systems. Physics Letters A, 376, 275–281. https://doi.org/10.1016/j.physleta.2011.10.066

Article  CAS  Google Scholar 

Abraham, A., Milham, M. P., Di, M. A., Craddock, R. C., Samaras, D., Thirion, B., & Varoquaux, G. (2017). Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. NeuroImage, 2017(147), 736–745. https://doi.org/10.1016/j.neuroimage.2016.10.045

Article  Google Scholar 

Abrahams, B. S., & Geschwind, D. H. (2008). Advances in autism genetics: On the threshold of a new neurobiology. Nature Reviews Genetics, 9, 341–355. https://doi.org/10.1038/nrg2346

Article  CAS  PubMed  PubMed Central  Google Scholar 

Aggarwal, S., & Angus, B. (2015). Misdiagnosis versus missed diagnosis: Diagnosing autism spectrum disorder in adolescents. Australasian Psychiatry, 23, 120–123. https://doi.org/10.1177/1039856214568214

Article  PubMed  Google Scholar 

Artiles, O., Masry, A., & Saeed, F. (2023). Confounding effects on the performance of machine learning analysis of static functional connectivity computed from rs-fMRI multi-site data. Neuroinformatics, 21(4), 651–668. https://doi.org/10.1007/s12021-023-09639-1

Article  PubMed  Google Scholar 

Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O’Boyle, J. G., Schultz, R. T., & Pearlson, G. D. (2010). Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage, 53, 247–256. https://doi.org/10.1016/j.neuroimage.2010.05.067

Article  PubMed  Google Scholar 

Baran, B., Nguyen, Q. T. H., Mylonas, D., Santangelo, S. L., & Manoach, D. S. (2023). Increased resting-state thalamocortical functional connectivity in children and young adults with autism spectrum disorder. Autism Research, 16, 271–279. https://doi.org/10.1002/aur.2875

Article  PubMed  Google Scholar 

Beljan, P., Webb, J. T., Amend, E. R., Web, N. E., Goerss, J., & Olenchak, F. R. (2006). Misdiagnosis and dual diagnoses of gifted children and adults: ADHD, bipolar, OCD, Asperger’s, depression, and other disorders. Gifted and Talented International, 21, 83–86. https://doi.org/10.1080/15332276.2006.11673478

Article  Google Scholar 

Chang, L. J., Yarkoni, T., Khaw, M. W., & Sanfey, A. G. (2013). Decoding the role of the insula in human cognition: Functional parcellation and large-scale reverse inference. Cerebral Cortex, 23, 739–749. https://doi.org/10.1093/cercor/bhs065

Article  PubMed  Google Scholar 

Chen, B., Jiang, L., Lu, G., Li, Y., Zhang, S., Huang, X., Xu, P., Li, F., & Yao, D. (2023). Altered dynamic network interactions in children with ASD during face recognition revealed by time-varying EEG networks. Cerebral Cortex, 33, 11170–11180. https://doi.org/10.1093/cercor/bhs065

Article  PubMed  Google Scholar 

Cheng, W., Sun, Z., Cai, K., Wu, J., Dong, X., Liu, Z., Shi, Y., Yang, S., Zhang, W., & Chen, A. (2023). Relationship between overweight/obesity and social communication in autism spectrum disorder children: Mediating effect of gray matter volume. Brain Sciences, 13, 180. https://doi.org/10.3390/brainsci13020180

Article  PubMed  PubMed Central  Google Scholar 

Cong, J., Zhuang, W., Liu, Y., Yin, S., Jia, H., Yi, C., Chen, K., Xue, K., Li, F., & Yao, D. (2023). Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis. Human Brain Mapping, 44, 2279–2293. https://doi.org/10.1002/hbm.26209

Article  PubMed  PubMed Central  Google Scholar 

Craddock, C., Sikka, S., Cheung, B., Khanuja, R., Ghosh, S. S., Yan, C., Li, Q., Lurie, D., Vogelstein, J., & Burns, R. (2013). Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac). Frontiers in Neuroinformatics. https://doi.org/10.3389/conf.fninf.2013.09.00042

Article  Google Scholar 

Craddock, R. C., James, G. A., Holtzheimer, P. E., III., Hu, X. P., & Mayberg, H. S. (2012). A whole brain fMRI atlas generated via spatially constrained spectral clustering. Human Brain Mapping, 33, 1914–1928. https://doi.org/10.1002/hbm.21333

Article  PubMed  Google Scholar 

Dekhil, O., Shalaby, A., Soliman, A., Mahmoud, A., Kong, M., Barnes, G., Elmaghraby, A., & El-Baz, A. (2021). Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns. Medical Image Analysis, 68, 101899. https://doi.org/10.1016/j.media.2020.101899

Article  PubMed  Google Scholar 

Di Martino, A., Yan, C. G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., & Deen, B. (2014). The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular Psychiatry, 19, 659–667. https://doi.org/10.1038/mp.2013.78

Article  PubMed  Google Scholar 

Eaves, L. C., Wingert, H. D., Ho, H. H., & Mickelson, E. C. (2006). Screening for autism spectrum disorders with the social communication questionnaire. Journal of Developmental & Behavioral Pediatrics, 27, S95–S103. https://doi.org/10.1097/00004703-200604002-00007

Article  Google Scholar 

Elton, A., Di Martino, A., Hazlett, H. C., & Gao, W. (2016). Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder. Biological Psychiatry, 80, 120–128. https://doi.org/10.1016/j.biopsych.2015.10.020

Article  PubMed  Google Scholar 

Fang, H., Wu, Q., Li, Y., Ren, Y., Li, C., Xiao, X., Xiao, T., Chu, K., & Ke, X. (2020). Structural networks in children with autism spectrum disorder with regression: A graph theory study. Behavioural Brain Research, 378, 112262. https://doi.org/10.1016/j.bbr.2019.112262

Article  PubMed  Google Scholar 

Fatemi, S. H., Wong, D. F., Brašić, J. R., Kuwabara, H., Mathur, A., Folsom, T. D., Jacob, S., Realmuto, G. M., Pardo, J. V., & Lee, S. (2018). Metabotropic glutamate receptor 5 tracer [18F]-FPEB displays increased binding potential in postcentral gyrus and cerebellum of male individuals with autism: A pilot PET study. Cerebellum & Ataxias, 5, 1–8. https://doi.org/10.1186/s40673-018-0082-1

Article  Google Scholar 

Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486, 75–174. https://doi.org/10.1016/j.physrep.2009.11.002

Article  Google Scholar 

Frosch, I. R., Mittal, V. A., & D’Mello, A. M. (2022). Cerebellar contributions to social cognition in ASD: A predictive processing framework. Frontiers in Integrative Neuroscience, 16, 810425. https://doi.org/10.3389/fnint.2022.810425

Article  PubMed  PubMed Central  Google Scholar 

Gatica, M., Cofré, R., Mediano, P. A., Rosas, F. E., Orio, P., Diez, I., Swinnen, S. P., & Cortes, J. M. (2021). High-order interdependencies in the aging brain. Brain Connectivity, 11, 734–744. https://doi.org/10.1089/brain.2020.0982

Article  PubMed  Google Scholar 

Geschwind, D. H., & Levitt, P. (2007). Autism spectrum disorders: Developmental disconnection syndromes. Current Opinion in Neurobiology, 17, 103–111. https://doi.org/10.1016/j.conb.2007.01.009

Article  CAS  PubMed  Google Scholar 

Guo, X., Zhang, X., Chen, H., Zhai, G., Cao, Y., Zhang, T., & Gao, L. (2023). Exploring the heterogeneity of brain structure in autism spectrum disorder based on individual structural covariance network. Cerebral Cortex, 33, 7311–7321. https://doi.org/10.1093/cercor/bhad040

Article  PubMed  Google Scholar 

Hyatt, C. J., Wexler, B. E., Pittman, B., Nicholson, A., Pearlson, G. D., Corbera, S., Bell, M. D., Pelphrey, K., Calhoun, V. D., & Assaf, M. (2022). Atypical dynamic functional network connectivity state engagement during social–emotional processing in schizophrenia and autism. Cerebral Cortex, 32, 3406–3422. https://doi.org/10.1093/cercor/bhab423

Article  PubMed  Google Scholar 

Ince, R. A. (2017). The partial entropy decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal. arXiv Preprint. https://doi.org/10.48550/arXiv.1702.01591

Article  Google Scholar 

Ingalhalikar, M., Shinde, S., Karmarkar, A., Rajan, A., Rangaprakash, D., & Deshpande, G. (2021). Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset. IEEE Transactions on Biomedical Engineering, 68, 3628–3637. https://doi.org/10.1109/TBME.2021.3080259

Article  PubMed  Google Scholar 

James, D., Lam, V. T., Jo, B., & Fung, L. K. (2022). Region-specific associations between gamma‐aminobutyric acid. A receptor binding and cortical thickness in high‐functioning autistic adults. Autism Research, 15, 1068–1082. https://doi.org/10.1002/aur.2703

Article  PubMed  PubMed Central  Google Scholar 

Jiang, X., Wu, Z., Zhong, M., Shen, B., Zhu, J., Pan, Y., Yan, J., Zhang, W., Xu, P., & Xiao, C. (2021). Abnormal gray matter volume and functional connectivity in Parkinson’s disease with rapid eye movement sleep behavior disorder. Parkinson’s Disease. https://doi.org/10.1155/2021/8851027

Article  PubMed  PubMed Central  Google Scholar 

Joo, S. W., Yoon, W., Jo, Y. T., Kim, H., Kim, Y., & Lee, J. (2020). Aberrant executive control and auditory networks in recent-onset schizophrenia. Neuropsychiatric Disease and Treatment, 16, 1561–1570. https://doi.org/10.2147/NDT.S254208

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kana, R. K., Libero, L. E., & Moore, M. S. (2011). Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders. Physics of Life Reviews, 8, 410–437. https://doi.org/10.1016/j.plrev.2011.10.001

Article  PubMed  Google Scholar 

Karabanov, A. N., Chillemi, G., Madsen, K. H., & Siebner, H. R. (2023). Dynamic involvement of premotor and supplementary motor areas in bimanual pinch force control. Neuroimage. https://doi.org/10.1016/j.neuroimage.2023.120203

Article  PubMed  Google Scholar 

Li, L., Jiang, H., Wen, G., Cao, P., Xu, M., Liu, X., & Zaiane, O. (2021). TE-HI-GCN: An ensemble of transfer hierarchical graph convolutional networks for disorder diagnosis. Neuroinformatics. https://doi.org/10.1007/s12021-021-09548-1

Article  PubMed  PubMed Central  Google Scholar 

Liloia, D., Manuello, J., Costa, T., Keller, R., Nani, A., & Cauda, F. (2023). Atypical local brain connectivity in pediatric autism spectrum disorder? A coordinate-based meta-analysis of regional homogeneity studies. European Archives of Psychiatry and Clinical Neuroscience. https://doi.org/10.1007/s00406-022-01541-2

Article  PubMed 

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