en Experimental Neurobiology

Cited by CrossRef (179)

  1. Dongyun Li, Hans-Otto Karnath, Xiu Xu. Candidate Biomarkers in Children with Autism Spectrum Disorder: A Review of MRI Studies. Neurosci. Bull. 2017;33:219
    https://doi.org/10.1007/s12264-017-0118-1
  2. Marija Kojic, Tomasz Gawda, Monika Gaik, Alexander Begg, Anna Salerno-Kochan, Nyoman D. Kurniawan, Alun Jones, Katarzyna Drożdżyk, Anna Kościelniak, Andrzej Chramiec-Głąbik, Soroor Hediyeh-Zadeh, Maria Kasherman, Woo Jun Shim, Enakshi Sinniah, Laura A. Genovesi, Rannvá K. Abrahamsen, Christina D. Fenger, Camilla G. Madsen, Julie S. Cohen, Ali Fatemi, Zornitza Stark, Sebastian Lunke, Joy Lee, Jonas K. Hansen, Martin F. Boxill, Boris Keren, Isabelle Marey, Margarita S. Saenz, Kathleen Brown, Suzanne A. Alexander, Sergey Mureev, Alina Batzilla, Melissa J. Davis, Michael Piper, Mikael Bodén, Thomas H. J. Burne, Nathan J. Palpant, Rikke S. Møller, Sebastian Glatt, Brandon J. Wainwright. Elp2 mutations perturb the epitranscriptome and lead to a complex neurodevelopmental phenotype. Nat Commun 2021;12
    https://doi.org/10.1038/s41467-021-22888-5
  3. Akram Tayanloo-Beik, Shayesteh Kokabi Hamidpour, Mina Abedi, Hamide Shojaei, Mostafa Rezaei Tavirani, Nazli Namazi, Bagher Larijani, Babak Arjmand. Zebrafish Modeling of Autism Spectrum Disorders, Current Status and Future Prospective. Front. Psychiatry 2022;13
    https://doi.org/10.3389/fpsyt.2022.911770
  4. Suresh Kumar, Sophie Jackson, Dominic Petronzi, Asrat Genet Amnie. A preliminary study into internet related addictions among adults with dyslexia. PLoS ONE 2023;18:e0280555
    https://doi.org/10.1371/journal.pone.0280555
  5. Mohammadreza Alizadeh, Manoj Tanwar, Amir H Sarrami, Ramin Shahidi, Aparna Singhal, Houman Sotoudeh. Radiomics; A Potential Next “Omics” in Psychiatric Disorders; An Introduction. Psychiatry Investig 2023;20:583
    https://doi.org/10.30773/pi.2022.0336
  6. Rishabh Chaudhary, Emma Steinson. Neurobiology of Autism Spectrum Disorders. 2023.
    https://doi.org/10.1007/978-3-031-42383-3_18
  7. Deming Shu, Gongliang Zhang, Chang Xue, Qiqi Lai, Yueyao He, Yifei Feng, Jianxin Zhang, Fengqin Jia, Dianzhi Liu. Intervention Effect of Group Sensory Integration Training on Social Responsiveness and N170 Event-Related Potential of Children with Autism. Behavioral Sciences 2024;14:202
    https://doi.org/10.3390/bs14030202
  8. Stephen S. Tran, Hyun-Ik Jun, Jae Hoon Bahn, Adel Azghadi, Gokul Ramaswami, Eric L. Van Nostrand, Thai B. Nguyen, Yun-Hua E. Hsiao, Changhoon Lee, Gabriel A. Pratt, Verónica Martínez-Cerdeño, Randi J. Hagerman, Gene W. Yeo, Daniel H. Geschwind, Xinshu Xiao. Widespread RNA editing dysregulation in brains from autistic individuals. Nat Neurosci 2019;22:25
    https://doi.org/10.1038/s41593-018-0287-x
  9. Yiming Zhang, Esperanza Garcia, Anne-Sophie Sack, Terrance P. Snutch. L-type calcium channel contributions to intrinsic excitability and synaptic activity during basolateral amygdala postnatal development. Journal of Neurophysiology 2020;123:1216
    https://doi.org/10.1152/jn.00606.2019
  10. Gary Diamond, Eman Badir, Shelly Almog, Gumma Badir, Labwa Jaoussy, Ashraf Akawi, Lutfi Jaber. Characteristic Neuro-Linguistic Styles in Young Arabic Speaking Children Diagnosed with ASD. Child Neurology Open 2022;9:2329048X2210802
    https://doi.org/10.1177/2329048X221080271
  11. Feng Zhao, Han Zhang, Islem Rekik, Zhiyong An, Dinggang Shen. Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI. Front. Hum. Neurosci. 2018;12
    https://doi.org/10.3389/fnhum.2018.00184
  12. Gail Simon, Mairi Evans, Francisco Urbistondo Cano, Sarah L. Helps, Ingrid Vlam. The Handbook of Systemic Family Therapy. 2018.
    https://doi.org/10.1002/9781119788409.ch16
  13. Jia Wang, Kuang Fu, Lei Chen, Xujun Duan, Xiaonan Guo, Heng Chen, Qiong Wu, Wei Xia, Lijie Wu, Huafu Chen. Increased Gray Matter Volume and Resting-State Functional Connectivity in Somatosensory Cortex and their Relationship with Autistic Symptoms in Young Boys with Autism Spectrum Disorder. Front. Physiol. 2017;8
    https://doi.org/10.3389/fphys.2017.00588
  14. Richard E. Frye. Social Skills Deficits in Autism Spectrum Disorder: Potential Biological Origins and Progress in Developing Therapeutic Agents. CNS Drugs 2018;32:713
    https://doi.org/10.1007/s40263-018-0556-y
  15. Seva G. Khambadkone, Zachary A. Cordner, Kellie L.K. Tamashiro. Maternal stressors and the developmental origins of neuropsychiatric risk. Frontiers in Neuroendocrinology 2020;57:100834
    https://doi.org/10.1016/j.yfrne.2020.100834
  16. Yue Qin, Yasong Du, Liqiang Chen, Yanyan Liu, Wenjing Xu, Ying Liu, Ying Li, Jing Leng, Yalan Wang, Xiao-Yong Zhang, Jianfeng Feng, Feng Zhang, Li Jin, Zilong Qiu, Xiaohong Gong, Hongyan Wang. A recurrent SHANK1 mutation implicated in autism spectrum disorder causes autistic-like core behaviors in mice via downregulation of mGluR1-IP3R1-calcium signaling. Mol Psychiatry 2022;27:2985
    https://doi.org/10.1038/s41380-022-01539-1
  17. Jully Gonzalez, Nicolás Múnera, Charlems Alvarez-Jimenez, Nelson Velasco, Eduardo Romero. An exploration of structural brain differences in Autism Spectrum Disorders: A multi-parcellation and multi-age analysis. Biomedical Signal Processing and Control 2024;92:106043
    https://doi.org/10.1016/j.bspc.2024.106043
  18. Beena Koshy, T. Hannah Mary Thomas, Devarajan Chitra, Anna Varghese, Rachael Beulah, Sunithi Mani. ICTMI 2017. 2024.
    https://doi.org/10.1007/978-981-13-1477-3_8
  19. Qingsong Xie, Xiangfei Zhang, Islem Rekik, Xiaobo Chen, Ning Mao, Dinggang Shen, Feng Zhao. Constructing high-order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder. 2021;9:e11692
    https://doi.org/10.7717/peerj.11692
  20. Matthew J. Leming, Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub, Hyungsoon Im. Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. npj Digit. Med. 2023;6
    https://doi.org/10.1038/s41746-023-00868-x
  21. Kacey E. Rajkovich, Kristofer W. Loerwald, Carly F. Hale, Carolyn T. Hess, Jay R. Gibson, Kimberly M. Huber. Experience-Dependent and Differential Regulation of Local and Long-Range Excitatory Neocortical Circuits by Postsynaptic Mef2c. Neuron 2017;93:48
    https://doi.org/10.1016/j.neuron.2016.11.022
  22. Annalisa Savardi, Marco Borgogno, Roberto Narducci, Giuseppina La Sala, Jose Antonio Ortega, Maria Summa, Andrea Armirotti, Rosalia Bertorelli, Andrea Contestabile, Marco De Vivo, Laura Cancedda. Discovery of a Small Molecule Drug Candidate for Selective NKCC1 Inhibition in Brain Disorders. Chem 2020;6:2073
    https://doi.org/10.1016/j.chempr.2020.06.017
  23. Atiqah Azhari, Farouq Azizan, Gianluca Esposito. A systematic review of gut‐immune‐brain mechanisms in Autism Spectrum Disorder. Developmental Psychobiology 2019;61:752
    https://doi.org/10.1002/dev.21803
  24. Xiangting Bernice Lin, Choon Guan Lim, Tih-Shih Lee. Social Deficits or Interactional Differences? Interrogating Perspectives on Social Functioning in Autism. Front. Psychiatry 2022;13
    https://doi.org/10.3389/fpsyt.2022.823736
  25. Elisabeth Colon, Edward A. Bittner, Barry Kussman, Mary Ellen McCann, Sulpicio Soriano, David Borsook. Anesthesia, brain changes, and behavior: Insights from neural systems biology. Progress in Neurobiology 2017;153:121
    https://doi.org/10.1016/j.pneurobio.2017.01.005
  26. Maximiliano Rapanelli, Tao Tan, Wei Wang, Xue Wang, Zi-Jun Wang, Ping Zhong, Luciana Frick, Luye Qin, Kaijie Ma, Jun Qu, Zhen Yan. Behavioral, circuitry, and molecular aberrations by region-specific deficiency of the high-risk autism gene Cul3. Mol Psychiatry 2021;26:1491
    https://doi.org/10.1038/s41380-019-0498-x
  27. . .
    https://doi.org/
  28. Matthew J. Leming, Simon Baron-Cohen, John Suckling. Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI. Molecular Autism 2021;12
    https://doi.org/10.1186/s13229-021-00439-5
  29. Alireza Talesh Jafadideh, Babak Mohammadzadeh Asl, Moo K. Chung. Structural filtering of functional data offered discriminative features for autism spectrum disorder. PLoS ONE 2022;17:e0277989
    https://doi.org/10.1371/journal.pone.0277989
  30. Fanny Joly, Pauline Jeckel, Martin Kriebel, Sanket Raut, Nicole El Massioui, Cyrille Vaillend, Luke R Johnson, Hansjürgen Volkmer, Valérie Doyère. Disruption of amygdalaTsc2in adolescence leads to changed prelimbic cellular activity and generalized fear responses at adulthood in rats. 2022;32:4619
    https://doi.org/10.1093/cercor/bhab506
  31. Olakkaran Shilpa, Kizhakke Purayil Anupama, Anet Antony, Hunasanahally Puttaswamygowda Gurushankara. Lead (Pb)-induced oxidative stress mediates sex-specific autistic-like behaviour in Drosophila melanogaster. Mol Neurobiol 2021;58:6378
    https://doi.org/10.1007/s12035-021-02546-z
  32. Yousef Tizabi, Samia Bennani, Nacer El Kouhen, Bruk Getachew, Michael Aschner. Interaction of Heavy Metal Lead with Gut Microbiota: Implications for Autism Spectrum Disorder. Biomolecules 2023;13:1549
    https://doi.org/10.3390/biom13101549
  33. Kai Zhao, Sen Huang, Cuichan Lin, Pak Chung Sham, Hon-Cheong So, Zhixiang Lin, Xiaofeng Zhu. INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis. PLoS Genet 2024;20:e1011189
    https://doi.org/10.1371/journal.pgen.1011189
  34. Claudia Bagni, R. Suzanne Zukin. A Synaptic Perspective of Fragile X Syndrome and Autism Spectrum Disorders. Neuron 2019;101:1070
    https://doi.org/10.1016/j.neuron.2019.02.041
  35. Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaiane. Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Inform. 2023;27:4154
    https://doi.org/10.1109/JBHI.2023.3274531
  36. Vicki Bitsika, Christopher F. Sharpley. The interaction of Matrix Reasoning and Social Motivation as predictors of Separation anxiety in boys with Autism Spectrum Disorder. Intl J of Devlp Neuroscience 2018;67:6
    https://doi.org/10.1016/j.ijdevneu.2018.03.006
  37. Myrah Malik, Alexander Weber, Donna Lang, Tamara Vanderwal, Jill G. Zwicker. Cortical grey matter volume differences in children with developmental coordination disorder compared to typically developing children. Front. Hum. Neurosci. 2024;18
    https://doi.org/10.3389/fnhum.2024.1276057
  38. Zahra Khandan Khadem-Reza, Mohammad Amin Shahram, Hoda Zare. Altered resting-state functional connectivity of the brain in children with autism spectrum disorder. Radiol Phys Technol 2023;16:284
    https://doi.org/10.1007/s12194-023-00717-2
  39. Jing Xin, Kaiyu Huang, Aiwen Yi, Ziyu Feng, Heng Liu, Xiaoqing Liu, Lili Liang, Qingshan Huang, Yaqiong Xiao. Absence of associations with prefrontal cortex and cerebellum may link to early language and social deficits in preschool children with ASD. Front. Psychiatry 2023;14
    https://doi.org/10.3389/fpsyt.2023.1144993
  40. Diana Serra, Leonor M. Almeida, Teresa C.P. Dinis. Polyphenols as food bioactive compounds in the context of Autism Spectrum Disorders: A critical mini-review. Neuroscience & Biobehavioral Reviews 2019;102:290
    https://doi.org/10.1016/j.neubiorev.2019.05.010
  41. Laila Hadaya, Lucy Vanes, Vyacheslav Karolis, Dana Kanel, Marguerite Leoni, Francesca Happé, A. David Edwards, Serena J. Counsell, Dafnis Batalle, Chiara Nosarti. Distinct Neurodevelopmental Trajectories in Groups of Very Preterm Children Screening Positively for Autism Spectrum Conditions. J Autism Dev Disord 2024;54:256
    https://doi.org/10.1007/s10803-022-05789-4
  42. Alireza Talesh Jafadideh, Babak Mohammadzadeh Asl. Rest-fMRI based comparison study between autism spectrum disorder and typically control using graph frequency bands. Computers in Biology and Medicine 2022;146:105643
    https://doi.org/10.1016/j.compbiomed.2022.105643
  43. Giulia Bellesi, Karishma Vyas, Leila Jameel, Shelley Channon. Moral reasoning about everyday situations in adults with autism spectrum disorder. Research in Autism Spectrum Disorders 2018;52:1
    https://doi.org/10.1016/j.rasd.2018.04.009
  44. Zhe Zhang, Weihao Zheng. The Discriminative Power of White Matter Microstructures for Autism Diagnosis. IFAC-PapersOnLine 2020;53:446
    https://doi.org/10.1016/j.ifacol.2021.04.121
  45. Gillian M. Maher, Fergus P. McCarthy, Cathal M. McCarthy, Louise C. Kenny, Patricia M. Kearney, Ali S. Khashan, Gerard W. O'Keeffe. A perspective on pre‐eclampsia and neurodevelopmental outcomes in the offspring: Does maternal inflammation play a role?. Intl J of Devlp Neuroscience 2019;77:69
    https://doi.org/10.1016/j.ijdevneu.2018.10.004
  46. Lingyu Xu, Yaya Liu, Jie Yu, Xinjuan Li, Xuan Yu, Huiyi Cheng, Jun Li. Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy. Journal of Neuroscience Methods 2020;331:108538
    https://doi.org/10.1016/j.jneumeth.2019.108538
  47. Frederic B Bastian, Julien Roux, Anne Niknejad, Aurélie Comte, Sara S Fonseca Costa, Tarcisio Mendes de Farias, Sébastien Moretti, Gilles Parmentier, Valentine Rech de Laval, Marta Rosikiewicz, Julien Wollbrett, Amina Echchiki, Angélique Escoriza, Walid H Gharib, Mar Gonzales-Porta, Yohan Jarosz, Balazs Laurenczy, Philippe Moret, Emilie Person, Patrick Roelli, Komal Sanjeev, Mathieu Seppey, Marc Robinson-Rechavi. The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals. 2021;49:D831
    https://doi.org/10.1093/nar/gkaa793
  48. Robert L. Hendren. Editorial: What to Do About Rigid, Repetitive Behaviors in Autism Spectrum Disorder?. Journal of the American Academy of Child & Adolescent Psychiatry 2021;60:22
    https://doi.org/10.1016/j.jaac.2020.11.009
  49. Chrystiane V.A. Toscano, Leonardo Barros, Ahlan B. Lima, Thiago Nunes, Humberto M. Carvalho, Joana M. Gaspar. Neuroinflammation in autism spectrum disorders: Exercise as a “pharmacological” tool. Neuroscience & Biobehavioral Reviews 2021;129:63
    https://doi.org/10.1016/j.neubiorev.2021.07.023
  50. Henrieta Hlisníková, Ida Petrovičová, Branislav Kolena, Miroslava Šidlovská, Alexander Sirotkin. Effects and mechanisms of phthalates’ action on neurological processes and neural health: a literature review. Pharmacol. Rep 2021;73:386
    https://doi.org/10.1007/s43440-021-00215-5
  51. Nagwa Abdel Meguid, Neveen Hassan Nashaat, Amal Elsaeid, Massimiliano Peana, Ahmed Elnahry, Geir Bjørklund. Awareness and risk factors of autism spectrum disorder in an Egyptian population. Research in Autism Spectrum Disorders 2021;84:101781
    https://doi.org/10.1016/j.rasd.2021.101781
  52. Jae-Yeon Kim, Mercedes F. Paredes. Implications of Extended Inhibitory Neuron Development. IJMS 2021;22:5113
    https://doi.org/10.3390/ijms22105113
  53. Nathan McChesney, Jeremy L. Barth, Jeffrey A. Rumschlag, Junying Tan, Adam J. Harrington, Kenyaria V. Noble, Carolyn M. McClaskey, Phillip Elvis, Silvia G. Vaena, Martin J. Romeo, Kelly C. Harris, Christopher W. Cowan, Hainan Lang. Peripheral Auditory Nerve Impairment in a Mouse Model of Syndromic Autism. J. Neurosci. 2022;42:8002
    https://doi.org/10.1523/JNEUROSCI.0253-22.2022
  54. Xia-an Bi, Junxia Zhao, Qian Xu, Qi Sun, Zhigang Wang. Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder. Front. Physiol. 2018;9
    https://doi.org/10.3389/fphys.2018.00475
  55. Carlo Abrate, Giulia Preti, Francesco Bonchi. Explainable Artificial Intelligence. 2018.
    https://doi.org/10.1007/978-3-031-44064-9_18
  56. Tomokazu Tsurugizawa, Kota Tamada, Nobukazu Ono, Sachise Karakawa, Yuko Kodama, Clement Debacker, Junichi Hata, Hideyuki Okano, Akihiko Kitamura, Andrew Zalesky, Toru Takumi. Awake functional MRI detects neural circuit dysfunction in a mouse model of autism. Sci. Adv. 2020;6
    https://doi.org/10.1126/sciadv.aav4520
  57. Shuang-Yu Li, Xin Zhao, Mei-Ying Cheng, Lin Lu, Jin-Xia Guo, De-Sheng Xuan, Yong-Bing Sun, Qing-Na Xing, Ling-Song Meng, Jun-Jie Liao, Shu-Hong Cui, Ling-Jie Zhang, Zhan-Qi Feng, Xiao-An Zhang. Quantitative Relaxometry Assessment of Brain Microstructural Abnormality of Preschool Children With Autism Spectrum Disorder With Synthetic Magnetic Resonance Imaging. J Comput Assist Tomogr 2023;47:959
    https://doi.org/10.1097/RCT.0000000000001507
  58. Angela D. Haendel, Alexander Barrington, Brooke Magnus, Alexis A. Arias, Alana McVey, Sheryl Pleiss, Audrey Carson, Elisabeth M. Vogt, Amy Vaughan Van Hecke. Changes in Electroencephalogram Coherence in Adolescents With Autism Spectrum Disorder After a Social Skills Intervention. Autism Research 2021;14:787
    https://doi.org/10.1002/aur.2459
  59. Chandrakanta S. Hiremath, Kommu John Vijay Sagar, B. K. Yamini, Akhila S. Girimaji, Raghavendra Kumar, Sanivarapu Lakshmi Sravanti, Hansashree Padmanabha, K. N. Vykunta Raju, M. Thomas Kishore, Preeti Jacob, Jitender Saini, Rose D. Bharath, Shekhar P. Seshadri, Manoj Kumar. Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review. Transl Psychiatry 2021;11
    https://doi.org/10.1038/s41398-020-01178-6
  60. Chin-Siang Ang, Freya Anne MacDougall. An Evaluation of Animal-Assisted Therapy for Autism Spectrum Disorders: Therapist and Parent Perspectives. Psychol Stud 2022;67:72
    https://doi.org/10.1007/s12646-022-00647-w
  61. Bin Qin, Longlun Wang, Jinhua Cai, Tingyu Li, Yun Zhang. Functional Brain Networks in Preschool Children With Autism Spectrum Disorders. Front. Psychiatry 2022;13
    https://doi.org/10.3389/fpsyt.2022.896388
  62. Alireza Talesh Jafadideh, Babak Mohammadzadeh Asl. Topological analysis of brain dynamics in autism based on graph and persistent homology. Computers in Biology and Medicine 2022;150:106202
    https://doi.org/10.1016/j.compbiomed.2022.106202
  63. Zhenzhen Zhang, Mengzhuo Hou, Huaxing Ou, Daping Wang, Zhifang Li, Huawei Zhang, Jianping Lu. Expression and structural analysis of human neuroligin 2 and neuroligin 3 implicated in autism spectrum disorders. Front. Endocrinol. 2022;13
    https://doi.org/10.3389/fendo.2022.1067529
  64. Grazia Ragone, Judith Good, Kate Howland. How Technology Applied to Music-Therapy and Sound-Based Activities Addresses Motor and Social Skills in Autistic Children. MTI 2021;5:11
    https://doi.org/10.3390/mti5030011
  65. Lulu Yao, Huimin Fu, Lu Bai, Wenwen Deng, Fang Xie, Ying Li, Rong Zhang, Xinjie Xu, Ting Wang, Shenghan Lai, Jun Wang. Saliva nitrite is higher in male children with autism spectrum disorder and positively correlated with serum nitrate. Redox Report 2021;26:124
    https://doi.org/10.1080/13510002.2021.1959133
  66. Raju Paudel, Shamsher Singh. Selection of Young Animal Models of Autism over Adult: Benefits and Limitations. Integr. psych. behav. 2023;57:697
    https://doi.org/10.1007/s12124-020-09595-4
  67. A. Kodam, D. Ourdev, M. Maulik, J. Hariharakrishnan, M. Banerjee, Y. Wang, S. Kar. A role for astrocyte‐derived amyloid β peptides in the degeneration of neurons in an animal model of temporal lobe epilepsy. Brain Pathology 2019;29:28
    https://doi.org/10.1111/bpa.12617
  68. Sabritee Patel, Poonam Sharma. In silico Analysis of Common Autism Spectrum Disorder Genetic Risk Variations. Biomed. Pharmacol. J. 2022;15:1917
    https://doi.org/10.13005/bpj/2530
  69. Huiyi Cheng, Jie Yu, Lingyu Xu, Jun Li. Power spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder. Biomed. Opt. Express 2019;10:1383
    https://doi.org/10.1364/BOE.10.001383
  70. Chuanjun Zhuo, Gongying Li, Xiaodong Lin, Deguo Jiang, Yong Xu, Hongjun Tian, Wenqiang Wang, Xueqin Song. Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review. Brain Imaging and Behavior 2021;15:1115
    https://doi.org/10.1007/s11682-020-00284-9
  71. Ceymi Doenyas. Gut Microbiota, Inflammation, and Probiotics on Neural Development in Autism Spectrum Disorder. Neuroscience 2018;374:271
    https://doi.org/10.1016/j.neuroscience.2018.01.060
  72. Shima Davoudi, Mona Rahdar, Narges Hosseinmardi, Gila Behzadi, Mahyar Janahmadi. Chronic inhibition of astrocytic aquaporin-4 induces autistic-like behavior in control rat offspring similar to maternal exposure to valproic acid. Physiology & Behavior 2023;269:114286
    https://doi.org/10.1016/j.physbeh.2023.114286
  73. Ioanna Giannopoulou, Helen Lazaratou, Marina Economou, Dimitris Dikeos. Converging Psychoanalytic and Neurobiological Understanding of Autism: Promise for Integrative Therapeutic Approaches. Psychodynamic Psychiatry 2019;47:275
    https://doi.org/10.1521/pdps.2019.47.3.275
  74. Phong Duong, Mavis A. A. Tenkorang, Jenny Trieu, Clayton McCuiston, Nataliya Rybalchenko, Rebecca L. Cunningham. Neuroprotective and neurotoxic outcomes of androgens and estrogens in an oxidative stress environment. Biol Sex Differ 2020;11
    https://doi.org/10.1186/s13293-020-0283-1
  75. Tao Tan, Wei Wang, Haitao Xu, Zhilin Huang, Yu Tian Wang, Zhifang Dong. Low-Frequency rTMS Ameliorates Autistic-Like Behaviors in Rats Induced by Neonatal Isolation Through Regulating the Synaptic GABA Transmission. Front. Cell. Neurosci. 2018;12
    https://doi.org/10.3389/fncel.2018.00046
  76. Kenzie B. Billeiter, John Mark Froiland. Diversity of Intelligence is the Norm Within the Autism Spectrum: Full Scale Intelligence Scores Among Children with ASD. Child Psychiatry Hum Dev 2023;54:1094
    https://doi.org/10.1007/s10578-021-01300-9
  77. Kai Shi, Lingli Zhang, Juehua Yu, Zilin Chen, Senying Lai, Xingzhong Zhao, Wei‐Guang Li, Qiang Luo, Wei Lin, Jianfeng Feng, Peer Bork, Xing‐Ming Zhao, Fei Li. A 12‐genus bacterial signature identifies a group of severe autistic children with differential sensory behavior and brain structures. Clinical & Translational Med 2021;11
    https://doi.org/10.1002/ctm2.314
  78. Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng. Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. IEEE Trans. Pattern Anal. Mach. Intell. 2020;42:2024
    https://doi.org/10.1109/TPAMI.2019.2907679
  79. Gail Simon, Mairi Evans, Francisco Urbistondo Cano, Sarah L. Helps, Ingrid Vlam. The Handbook of Systemic Family Therapy. 2020.
    https://doi.org/10.1002/9781119438519.ch98
  80. AJ Mitchell, Seva G. Khambadkone, Geoffrey Dunn, Jennifer Bagley, Kellie L.K. Tamashiro, Damien Fair, Hanna Gustafsson, Elinor L. Sullivan. Maternal Western-style diet reduces social engagement and increases idiosyncratic behavior in Japanese macaque offspring. Brain, Behavior, and Immunity 2022;105:109
    https://doi.org/10.1016/j.bbi.2022.07.004
  81. Jean-Louis Bossu, Sébastien Roux. Les modèles animaux d’étude de l’autisme. Med Sci (Paris) 2019;35:236
    https://doi.org/10.1051/medsci/2019036
  82. Islem Mhiri, Islem Rekik. Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. Medical Image Analysis 2020;60:101596
    https://doi.org/10.1016/j.media.2019.101596
  83. Ana María Triana, Enrico Glerean, Jari Saramäki, Onerva Korhonen. Effects of spatial smoothing on group-level differences in functional brain networks. Network Neuroscience 2020;4:556
    https://doi.org/10.1162/netn_a_00132
  84. Rebecca S. Eshraghi, Camron Davies, Rahul Iyengar, Linda Perez, Rahul Mittal, Adrien A. Eshraghi. Gut-Induced Inflammation during Development May Compromise the Blood-Brain Barrier and Predispose to Autism Spectrum Disorder. JCM 2020;10:27
    https://doi.org/10.3390/jcm10010027
  85. Jingyi Qi. The Importance and Training of Executive Functions among Children and Children with Autism Spectrum Disorder. EHSS 2023;8:1886
    https://doi.org/10.54097/ehss.v8i.4608
  86. Junying Lan, Yuling Hu, Xiaoqing Wang, Wenxia Zheng, Ailing Liao, Shali Wang, Yingbo Li, Yan Wang, Feng Yang, Di Chen. Abnormal spatiotemporal expression pattern of progranulin and neurodevelopment impairment in VPA-induced ASD rat model. Neuropharmacology 2021;196:108689
    https://doi.org/10.1016/j.neuropharm.2021.108689
  87. Marta Simone, Andrea De Giacomo, Roberto Palumbi, Claudia Palazzo, Giuseppe Lucisano, Francesco Pompamea, Stefania Micella, Mara Pascali, Alessandra Gabellone, Lucia Marzulli, Paola Giordano, Concetta Domenica Gargano, Lucia Margari, Antonio Frigeri, Maddalena Ruggieri. Serum Neurofilament Light Chain and Glial Fibrillary Acidic Protein as Potential Diagnostic Biomarkers in Autism Spectrum Disorders: A Preliminary Study. IJMS 2023;24:3057
    https://doi.org/10.3390/ijms24033057
  88. Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li. A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. IEEE Trans. Med. Imaging 2024;43:1045
    https://doi.org/10.1109/TMI.2023.3327283
  89. Feng Zhao, Zhiyuan Chen, Islem Rekik, Peiqiang Liu, Ning Mao, Seong-Whan Lee, Dinggang Shen. A Novel Unit-Based Personalized Fingerprint Feature Selection Strategy for Dynamic Functional Connectivity Networks. Front. Neurosci. 2021;15
    https://doi.org/10.3389/fnins.2021.651574
  90. Hailong Li, Nehal A. Parikh, Lili He. A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes. Front. Neurosci. 2018;12
    https://doi.org/10.3389/fnins.2018.00491
  91. T. Labbé Atenas, E. Ciampi Díaz, J.P. Cruz Quiroga, S. Uribe Arancibia, C. Cárcamo Rodríguez. Functional magnetic resonance imaging: Basic principles and application in the neurosciences. Radiología (English Edition) 2018;60:368
    https://doi.org/10.1016/j.rxeng.2018.04.001
  92. Maryam Kartawy, Igor Khaliulin, Haitham Amal. Systems biology reveals reprogramming of the S-nitroso-proteome in the cortical and striatal regions of mice during aging process. Sci Rep 2020;10
    https://doi.org/10.1038/s41598-020-70383-6
  93. Eugenia Conti, Elena Scaffei, Chiara Bosetti, Viviana Marchi, Valeria Costanzo, Valerio Dell’Oste, Raffaele Mazziotti, Liliana Dell’Osso, Claudia Carmassi, Filippo Muratori, Laura Baroncelli, Sara Calderoni, Roberta Battini. Looking for “fNIRS Signature” in Autism Spectrum: A Systematic Review Starting From Preschoolers. Front. Neurosci. 2022;16
    https://doi.org/10.3389/fnins.2022.785993
  94. Maximiliano Rapanelli, Luciana Romina Frick, Meiyu Xu, Stephanie Mary Groman, Kantiya Jindachomthong, Nobuaki Tamamaki, Chiyoko Tanahira, Jane Rebecca Taylor, Christopher Pittenger. Targeted Interneuron Depletion in the Dorsal Striatum Produces Autism-like Behavioral Abnormalities in Male but Not Female Mice. Biological Psychiatry 2017;82:194
    https://doi.org/10.1016/j.biopsych.2017.01.020
  95. Mohammed Uddin, Yujiang Wang, Marc Woodbury-Smith. Artificial intelligence for precision medicine in neurodevelopmental disorders. npj Digit. Med. 2019;2
    https://doi.org/10.1038/s41746-019-0191-0
  96. Aleksandar Ćirović, Ana Ćirović, Dimitrije Nikolić, Ana Ivanovski, Petar Ivanovski. The adjuvant aluminum fate – Metabolic tale based on the basics of chemistry and biochemistry. Journal of Trace Elements in Medicine and Biology 2021;68:126822
    https://doi.org/10.1016/j.jtemb.2021.126822
  97. Sara Schiavi, Antonia Manduca, Emilia Carbone, Valeria Buzzelli, Alessandro Rava, Alessandro Feo, Fabrizio Ascone, Maria Morena, Patrizia Campolongo, Matthew N. Hill, Viviana Trezza. Anandamide and 2-arachidonoylglycerol differentially modulate autistic-like traits in a genetic model of autism based on FMR1 deletion in rats. Neuropsychopharmacol. 2023;48:897
    https://doi.org/10.1038/s41386-022-01454-7
  98. Mónica Navarro-Sánchez, Isis Gil-Miravet, Daniel Montero-Caballero, Ross A.D. Bathgate, Mohammed Akhter Hossain, Esther Castillo-Gómez, Andrew L. Gundlach, Francisco E. Olucha-Bordonau. Modulation of contextual fear acquisition and extinction by acute and chronic relaxin-3 receptor (RXFP3) activation in the rat retrosplenial cortex. Biochemical Pharmacology 2024;225:116264
    https://doi.org/10.1016/j.bcp.2024.116264
  99. Nahla L. Faizo. A narrative review of MRI changes correlated to signs and symptoms of autism. 2022;101:e30059
    https://doi.org/10.1097/MD.0000000000030059
  100. Michele Bertacchi, Chiara Tocco, Christian P. Schaaf, Michèle Studer. Pathophysiological Heterogeneity of the BBSOA Neurodevelopmental Syndrome. Cells 2022;11:1260
    https://doi.org/10.3390/cells11081260
  101. Lin Zhang, Kailong Li, Chengqi Zhang, Xianlong Qi, Ning Zheng, Guangbin Wang. Arcuate Fasciculus in Autism Spectrum Disorder Toddlers with Language Regression. 2018;13:90
    https://doi.org/10.1515/med-2018-0014
  102. Joshua Corps, Islem Rekik. Morphological Brain Age Prediction using Multi-View Brain Networks Derived from Cortical Morphology in Healthy and Disordered Participants. Sci Rep 2019;9
    https://doi.org/10.1038/s41598-019-46145-4
  103. Rajandeep Kaur, Rajneesh Rani. Interdisciplinary Approaches to Altering Neurodevelopmental Disorders. 2019.
    https://doi.org/10.4018/978-1-7998-3069-6.ch015
  104. Huaye Zhang. Synaptic dysregulation in autism spectrum disorders. J of Neuroscience Research 2020;98:2111
    https://doi.org/10.1002/jnr.24711
  105. Naseer Ahmed Khan, Samer Abdulateef Waheeb, Atif Riaz, Xuequn Shang. A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder. Brain Sciences 2020;10:754
    https://doi.org/10.3390/brainsci10100754
  106. Poorya Chavoshnejad, Liam Vallejo, Songyao Zhang, Yanchen Guo, Weiying Dai, Tuo Zhang, Mir Jalil Razavi. Mechanical hierarchy in the formation and modulation of cortical folding patterns. Sci Rep 2023;13
    https://doi.org/10.1038/s41598-023-40086-9
  107. Camille Michèle Williams, Hugo Peyre, Roberto Toro, Anita Beggiato, Franck Ramus. Adjusting for allometric scaling in ABIDE I challenges subcortical volume differences in autism spectrum disorder. Human Brain Mapping 2020;41:4610
    https://doi.org/10.1002/hbm.25145
  108. Alma Y. Galvez-Contreras, Tania Campos-Ordonez, Rocio E. Gonzalez-Castaneda, Oscar Gonzalez-Perez. Alterations of Growth Factors in Autism and Attention-Deficit/Hyperactivity Disorder. Front. Psychiatry 2017;8
    https://doi.org/10.3389/fpsyt.2017.00126
  109. Christina O. Carlisi, Luke J. Norman, Steve S. Lukito, Joaquim Radua, David Mataix-Cols, Katya Rubia. Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder. Biological Psychiatry 2017;82:83
    https://doi.org/10.1016/j.biopsych.2016.10.006
  110. Kasturi Barik, Katsumi Watanabe, Joydeep Bhattacharya, Goutam Saha. Functional connectivity based machine learning approach for autism detection in young children using MEG signals. J. Neural Eng. 2023;20:026012
    https://doi.org/10.1088/1741-2552/acbe1f
  111. Han-Fang Wu, Yi-Ju Chen, Ming-Chia Chu, Ya-Ting Hsu, Ting-Yi Lu, I-Tuan Chen, Po Chen, Hui-Ching Lin. Deep Brain Stimulation Modified Autism-Like Deficits via the Serotonin System in a Valproic Acid-Induced Rat Model. IJMS 2018;19:2840
    https://doi.org/10.3390/ijms19092840
  112. Keith Fluegge. Does environmental exposure to the greenhouse gas, N 2 O, contribute to etiological factors in neurodevelopmental disorders? A mini-review of the evidence. Environmental Toxicology and Pharmacology 2016;47:6
    https://doi.org/10.1016/j.etap.2016.08.013
  113. Pablo Rayff da Silva, Thallita Karla Silva do Nascimento Gonzaga, Rayana Elias Maia, Bagnólia Araújo da Silva. Ionic Channels as Potential Targets for the Treatment of Autism Spectrum Disorder: A Review. CN 2022;20:1834
    https://doi.org/10.2174/1570159X19666210809102547
  114. Johanna Leyhausen, Tim Schäfer, Caroline Gurr, Lisa M. Berg, Hanna Seelemeyer, Charlotte M. Pretzsch, Eva Loth, Bethany Oakley, Jan K. Buitelaar, Christian F. Beckmann, Dorothea L. Floris, Tony Charman, Thomas Bourgeron, Tobias Banaschewski, Emily J.H. Jones, Julian Tillmann, Chris Chatham, Declan G. Murphy, Christine Ecker, Jumana Ahmad, Sara Ambrosino, Bonnie Auyeung, Tobias Banaschewski, Simon Baron-Cohen, Sarah Baumeister, Christian F. Beckmann, Sven Bölte, Thomas Bourgeron, Carsten Bours, Michael Brammer, Daniel Brandeis, Claudia Brogna, Yvette de Bruijn, Jan K. Buitelaar, Bhismadev Chakrabarti, Tony Charman, Ineke Cornelissen, Daisy Crawley, Flavio Dell’Acqua, Guillaume Dumas, Sarah Durston, Christine Ecker, Jessica Faulkner, Vincent Frouin, Pilar Garcés, David Goyard, Lindsay Ham, Hannah Hayward, Joerg Hipp, Rosemary Holt, Mark H. Johnson, Emily J.H. Jones, Prantik Kundu, Meng-Chuan Lai, Xavier Liogier D’ardhuy, Michael V. Lombardo, Eva Loth, David J. Lythgoe, René Mandl, Andre Marquand, Luke Mason, Maarten Mennes, Andreas Meyer-Lindenberg, Carolin Moessnang, Nico Bast, Declan G.M. Murphy, Bethany Oakley, Laurence O’Dwyer, Marianne Oldehinkel, Bob Oranje, Gahan Pandina, Antonio M. Persico, Barbara Ruggeri, Amber Ruigrok, Jessica Sabet, Roberto Sacco, Antonia San José Cáceres, Emily Simonoff, Will Spooren, Julian Tillmann, Roberto Toro, Heike Tost, Jack Waldman, Steve C.R. Williams, Caroline Wooldridge, Marcel P. Zwiers. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder. Biological Psychiatry 2024;95:175
    https://doi.org/10.1016/j.biopsych.2023.06.010
  115. Ray O. Bahado-Singh, Sangeetha Vishweswaraiah, Buket Aydas, Uppala Radhakrishna. Artificial intelligence and placental DNA methylation: newborn prediction and molecular mechanisms of autism in preterm children. The Journal of Maternal-Fetal & Neonatal Medicine 2024;35:8150
    https://doi.org/10.1080/14767058.2021.1963704
  116. Shuji Iritani, Youta Torii, Chikako Habuchi, Hirotaka Sekiguchi, Hiroshige Fujishiro, Mari Yoshida, Yasuhiro Go, Astushi Iriki, Masaki Isoda, Norio Ozaki. The neuropathological investigation of the brain in a monkey model of autism spectrum disorder with ABCA13 deletion. Intl J of Devlp Neuroscience 2018;71:130
    https://doi.org/10.1016/j.ijdevneu.2018.09.002
  117. Erkan Gümüş. The Corpus Callosum. 2018.
    https://doi.org/10.1007/978-3-031-38114-0_7
  118. Carolyn D. Langen, Ryan Muetzel, Laura Blanken, Aad van der Lugt, Henning Tiemeier, Frank Verhulst, Wiro J. Niessen, Tonya White. Differential patterns of age‐related cortical and subcortical functional connectivity in 6‐to‐10 year old children: A connectome‐wide association study. Brain and Behavior 2018;8
    https://doi.org/10.1002/brb3.1031
  119. Maria Gudbrandsen, Anke Bletsch, Caroline Mann, Eileen Daly, Clodagh M. Murphy, Vladimira Stoencheva, Charlotte E. Blackmore, Maria Rogdaki, Leila Kushan, Carrie E. Bearden, Declan G. M. Murphy, Michael C. Craig, Christine Ecker. Neuroanatomical underpinnings of autism symptomatology in carriers and non-carriers of the 22q11.2 microdeletion. Molecular Autism 2020;11
    https://doi.org/10.1186/s13229-020-00356-z
  120. Aikaterini S. Karampasi, Antonis D. Savva, Vasileios Ch. Korfiatis, Ioannis Kakkos, George K. Matsopoulos. Informative Biomarkers for Autism Spectrum Disorder Diagnosis in Functional Magnetic Resonance Imaging Data on the Default Mode Network. Applied Sciences 2021;11:6216
    https://doi.org/10.3390/app11136216
  121. Helen E. Vuong, Elaine Y. Hsiao. Emerging Roles for the Gut Microbiome in Autism Spectrum Disorder. Biological Psychiatry 2017;81:411
    https://doi.org/10.1016/j.biopsych.2016.08.024
  122. Faranak Rafiee, Roya Rezvani Habibabadi, Mina Motaghi, David M. Yousem, Ilyssa J. Yousem. Brain MRI in Autism Spectrum Disorder: Narrative Review and Recent Advances. Magnetic Resonance Imaging 2022;55:1613
    https://doi.org/10.1002/jmri.27949
  123. Kristina Safar, Simeon M. Wong, Rachel C. Leung, Benjamin T. Dunkley, Margot J. Taylor. Increased Functional Connectivity During Emotional Face Processing in Children With Autism Spectrum Disorder. Front. Hum. Neurosci. 2018;12
    https://doi.org/10.3389/fnhum.2018.00408
  124. Yin Liang, Baolin Liu, Hesheng Zhang. A Convolutional Neural Network Combined With Prototype Learning Framework for Brain Functional Network Classification of Autism Spectrum Disorder. IEEE Trans. Neural Syst. Rehabil. Eng. 2021;29:2193
    https://doi.org/10.1109/TNSRE.2021.3120024
  125. Simge Aykan, Emre Gürses, Suna Tokgöz-Yılmaz, Canan Kalaycıoğlu. Auditory Processing Differences Correlate With Autistic Traits in Males. Front. Hum. Neurosci. 2020;14
    https://doi.org/10.3389/fnhum.2020.584704
  126. Janna McLellan, Danielle H. J. Kim, Matthew Bruce, Alexandra Ramirez-Celis, Judy Van de Water. Maternal Immune Dysregulation and Autism–Understanding the Role of Cytokines, Chemokines and Autoantibodies. Front. Psychiatry 2022;13
    https://doi.org/10.3389/fpsyt.2022.834910
  127. . .
    https://doi.org/
  128. Mohammed Al-Beltagi. Pre-autism: What a paediatrician should know about early diagnosis of autism‎. World J Clin Pediatr 2023;12:273
    https://doi.org/10.5409/wjcp.v12.i5.273
  129. Alma Y. Galvez-Contreras, David Zarate-Lopez, Ana L. Torres-Chavez, Oscar Gonzalez-Perez. Role of Oligodendrocytes and Myelin in the Pathophysiology of Autism Spectrum Disorder. Brain Sciences 2020;10:951
    https://doi.org/10.3390/brainsci10120951
  130. Wen-Chin Huang, Aya Zucca, Jenna Levy, Damon T. Page. Social Behavior Is Modulated by Valence-Encoding mPFC-Amygdala Sub-circuitry. Cell Reports 2020;32:107899
    https://doi.org/10.1016/j.celrep.2020.107899
  131. Francesca Pistollato, Tamara Yuliett Forbes-Hernández, Ruben Calderón Iglesias, Roberto Ruiz, Maria Elexpuru Zabaleta, Danila Cianciosi, Francesca Giampieri, Maurizio Battino. Pharmacological, non-pharmacological and stem cell therapies for the management of autism spectrum disorders: A focus on human studies. Pharmacological Research 2020;152:104579
    https://doi.org/10.1016/j.phrs.2019.104579
  132. Josiah D. Zoodsma, Carly I. Gomes, Howard I. Sirotkin, Lonnie P. Wollmuth. NMDA Receptors. 2020.
    https://doi.org/10.1007/978-1-0716-3830-9_13
  133. Swe Zin Aye, Han Ni, Htwe H Sein, San T Mon, Qishi Zheng, Yoko Kin Yoke Wong. The effectiveness and adverse effects of D-cycloserine compared with placebo on social and communication skills in individuals with autism spectrum disorder. 2021;2021
    https://doi.org/10.1002/14651858.CD013457.pub2
  134. Ji-Xiang Zhang, Jun Zhang, Ye Li. Liver X receptor-β improves autism symptoms via downregulation of β-amyloid expression in cortical neurons. Ital J Pediatr 2016;42
    https://doi.org/10.1186/s13052-016-0249-4
  135. Chiahui Yen, Chia-Li Lin, Ming-Chang Chiang. Exploring the Frontiers of Neuroimaging: A Review of Recent Advances in Understanding Brain Functioning and Disorders. Life 2023;13:1472
    https://doi.org/10.3390/life13071472
  136. Caichen Zhong, Jillian Tessing, Brian K. Lee, Kristen Lyall. Maternal Dietary Factors and the Risk of Autism Spectrum Disorders: A Systematic Review of Existing Evidence. Autism Research 2020;13:1634
    https://doi.org/10.1002/aur.2402
  137. Payal Trivedi, Manmohan Pandey, Pankaj Kumar Rai, Pradyumn Singh, Prachi Srivastava. A meta-analysis of differentially expressed and regulatory genes with their functional enrichment analysis for brain transcriptome data in autism spectrum disorder. Journal of Biomolecular Structure and Dynamics 2022:1
    https://doi.org/10.1080/07391102.2022.2143900
  138. Zahrul Jannat Peya, Bipasha Zaman, M. A. H. Akhand, Nazmul Siddique. Machine Intelligence and Emerging Technologies. 2022.
    https://doi.org/10.1007/978-3-031-34622-4_3
  139. Xiao-Fan Zhang, Ting Chen, Aifen Yan, Jia Xiao, Yong-Li Xie, Jing Yuan, Pin Chen, Anderson On-Lam Wong, Yang Zhang, Nai-Kei Wong. Poly(I:C) Challenge Alters Brain Expression of Oligodendroglia-Related Genes of Adult Progeny in a Mouse Model of Maternal Immune Activation. Front. Mol. Neurosci. 2020;13
    https://doi.org/10.3389/fnmol.2020.00115
  140. Zahraa Al-Dujaili, Achraf Al Faraj. Would Nanoparticles Give Hope for the Treatment of Autism Spectrum Disorder?. Rev J Autism Dev Disord 2024
    https://doi.org/10.1007/s40489-024-00452-3
  141. G. P. Poornimai Abirami, Risna Kanjirassery Radhakrishnan, Esther Johnson, Syed Aasish Roshan, Ajisha Yesudhas, Suhadha Parveen, Abir Biswas, Vijaya Roobini Ravichandran, Anusuyadevi Muthuswamy, Mahesh Kandasamy. Personalized Food Intervention and Therapy for Autism Spectrum Disorder Management. 2024.
    https://doi.org/10.1007/978-3-030-30402-7_8
  142. Francesco Craig, Flaviana Tenuta, Andrea De Giacomo, Antonio Trabacca, Angela Costabile. A systematic review of problematic video-game use in people with Autism Spectrum Disorders. Research in Autism Spectrum Disorders 2021;82:101726
    https://doi.org/10.1016/j.rasd.2021.101726
  143. William D. Hopkins, Michele M. Mulholland, Mary Catherine Mareno, Sarah J. Neal Webb, Steven J. Schapiro. Neuroanatomical correlates of individual differences in the object choice task in chimpanzees (Pan troglodytes). Front. Psychol. 2022;13
    https://doi.org/10.3389/fpsyg.2022.1057722
  144. Xiaonan Guo, Xia Zhang, Heng Chen, Guangjin Zhai, Yabo Cao, Tao Zhang, Le Gao. Exploring the heterogeneity of brain structure in autism spectrum disorder based on individual structural covariance network. 2023;33:7311
    https://doi.org/10.1093/cercor/bhad040
  145. . Developmental Cognitive Neuroscience. 2023.
    https://doi.org/10.1002/9781394260676.refs
  146. Akiko Kawamoto, Aiko Kajiume, Hiroshi Yoshida, Tamotsu Toshima, Masao Kobayashi. Individual Differences in Autistic Traits are Associated with Serotonin Transporter Gene Polymorphism Through Medial Prefrontal Function: A Study Using NIRS. Neuroscience 2021;458:43
    https://doi.org/10.1016/j.neuroscience.2021.01.007
  147. Frank C. Worrell, Tammy L. Hughes, Dante D. Dixson. The Cambridge Handbook of Applied School Psychology. 2021.
    https://doi.org/10.1017/9781108235532
  148. Xiaoxuan Sun, Lifang Wang, Chengwen Wei, Mengwen Sun, Qiongwei Li, Hu Meng, Weihua Yue, Dai Zhang, Jun Li. Dysfunction of Trio GEF1 involves in excitatory/inhibitory imbalance and autism-like behaviors through regulation of interneuron migration. Mol Psychiatry 2021;26:7621
    https://doi.org/10.1038/s41380-021-01109-x
  149. Yue Li, Minjie Shen, Michael E. Stockton, Xinyu Zhao. Hippocampal deficits in neurodevelopmental disorders. Neurobiology of Learning and Memory 2019;165:106945
    https://doi.org/10.1016/j.nlm.2018.10.001
  150. Chunlei Shi, Jiacai Zhang, Xia Wu. An fMRI Feature Selection Method Based on a Minimum Spanning Tree for Identifying Patients with Autism. Symmetry 2020;12:1995
    https://doi.org/10.3390/sym12121995
  151. Ping Lin, Jie Yang, Shumin Wu, Tong Ye, Wenting Zhuang, Wei Wang, Tao Tan. Current trends of high-risk gene Cul3 in neurodevelopmental disorders. Front. Psychiatry 2023;14
    https://doi.org/10.3389/fpsyt.2023.1215110
  152. Elżbieta M. Sajdel-Sulkowska, Monika Makowska-Zubrycka, Katarzyna Czarzasta, Kaja Kasarello, Vishal Aggarwal, Michał Bialy, Ewa Szczepanska-Sadowska, Agnieszka Cudnoch-Jedrzejewska. Common Genetic Variants Link the Abnormalities in the Gut-Brain Axis in Prematurity and Autism. Cerebellum 2019;18:255
    https://doi.org/10.1007/s12311-018-0970-1
  153. Youjun Yang, Baojia Wang, Zhanqion Zhong, Hanbin Chen, Weijun Ding, Maggie Pui Man Hoi. Clonazepam attenuates neurobehavioral abnormalities in offspring exposed to maternal immune activation by enhancing GABAergic neurotransmission. Biochemical Pharmacology 2021;192:114711
    https://doi.org/10.1016/j.bcp.2021.114711
  154. Nour El Houda Mezrioui, Kamel Aloui, Amine Nait-Ali, Mohamed Saber Naceur. Automatic characterization of cerebral MRI images for the detection of autism spectrum disorders. Intelligence-Based Medicine 2024;9:100127
    https://doi.org/10.1016/j.ibmed.2023.100127
  155. Yu Han, Donna M. Rizzo, John P. Hanley, Emily L. Coderre, Patricia A. Prelock, Ping-I Lin. Identifying neuroanatomical and behavioral features for autism spectrum disorder diagnosis in children using machine learning. PLoS ONE 2022;17:e0269773
    https://doi.org/10.1371/journal.pone.0269773
  156. Priya Aggarwal, Anubha Gupta. Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. Medical Image Analysis 2019;56:11
    https://doi.org/10.1016/j.media.2019.05.007
  157. Feng Zhao, Zhiyuan Chen, Islem Rekik, Seong-Whan Lee, Dinggang Shen. Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks. Front. Neurosci. 2020;14
    https://doi.org/10.3389/fnins.2020.00258
  158. Elisa Ferrari, Paolo Bosco, Sara Calderoni, Piernicola Oliva, Letizia Palumbo, Giovanna Spera, Maria Evelina Fantacci, Alessandra Retico. Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study. Artificial Intelligence in Medicine 2020;108:101926
    https://doi.org/10.1016/j.artmed.2020.101926
  159. M MOROVÁ, L KRŠKOVÁ. Autistic-Like Traits in Laboratory Rodents Exposed to Phthalic Acid Esters During Early Development – an Animal Model of Autism?. Physiol Res 2021:345
    https://doi.org/10.33549/physiolres.934570
  160. Serdar Karatoprak, Sadettin Burak Acıkel, Abdulbaki Akyildiz, Fatma Coşkun, Fatma Hümeyra Yerlikaya. Comparison of serum thrombospondin-1 and thrombospondin-2 levels among children with autism spectrum disorder and healthy controls. International Journal of Developmental Disabilities 2022:1
    https://doi.org/10.1080/20473869.2022.2137287
  161. Shuo Chen, Yishi Xing, Jian Kang. Latent and Abnormal Functional Connectivity Circuits in Autism Spectrum Disorder. Front. Neurosci. 2017;11
    https://doi.org/10.3389/fnins.2017.00125
  162. Mladen Rakić, Mariano Cabezas, Kaisar Kushibar, Arnau Oliver, Xavier Lladó. Improving the detection of autism spectrum disorder by combining structural and functional MRI information. NeuroImage: Clinical 2020;25:102181
    https://doi.org/10.1016/j.nicl.2020.102181
  163. Elizabeth A. Pask, Tammy L. Hughes. The Cambridge Handbook of Applied School Psychology. 2020.
    https://doi.org/10.1017/9781108235532.022
  164. Zamira Kalemaj, Maria Michela Marino, Annamaria Chiara Santini, Giovanni Tomaselli, Amogh Auti, Maria Grazia Cagetti, Tiziana Borsello, Antonella Costantino, Francesco Inchingolo, Mariarosaria Boccellino, Marina Di Domenico, Gianluca Martino Tartaglia. Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study. Front. Neurosci. 2022;16
    https://doi.org/10.3389/fnins.2022.945278
  165. Saeid Sadeghi, Hamid Reza Pouretemad, Reza Shervin Badv, Serge Brand. Associations between Symptom Severity of Autism Spectrum Disorder and Screen Time among Toddlers Aged 16 to 36 Months. Behavioral Sciences 2023;13:208
    https://doi.org/10.3390/bs13030208
  166. Alexander L. Cohen, Mallory R. Kroeck, Juliana Wall, Peter McManus, Arina Ovchinnikova, Mustafa Sahin, Darcy A. Krueger, E. Martina Bebin, Hope Northrup, Joyce Y. Wu, Simon K. Warfield, Jurriaan M. Peters, Michael D. Fox. Tubers Affecting the Fusiform Face Area Are Associated with Autism Diagnosis. Annals of Neurology 2023;93:577
    https://doi.org/10.1002/ana.26551
  167. Simona Caldani, Elise Humeau, Richard Delorme, Maria Pia Bucci. Inhibition functions can be improved in children with autism spectrum disorders: An eye‐tracking study. Intl J of Devlp Neuroscience 2023;83:431
    https://doi.org/10.1002/jdn.10276
  168. Kaichi Yoshizaki, Masato Asai, Atsuo Nakayama. Impaired social facilitation on voluntary exercise of BALB/cCrSlc mice, a proposed as an autism spectrum disorder model. Neuroscience Research 2021;163:63
    https://doi.org/10.1016/j.neures.2020.03.006
  169. Kinga Gzielo, Agnieszka Nikiforuk. Astroglia in Autism Spectrum Disorder. IJMS 2021;22:11544
    https://doi.org/10.3390/ijms222111544
  170. T. Labbé Atenas, E. Ciampi Díaz, J.P. Cruz Quiroga, S. Uribe Arancibia, C. Cárcamo Rodríguez. Resonancia magnética funcional: principios básicos y aplicaciones en neurociencias. Radiología 2018;60:368
    https://doi.org/10.1016/j.rx.2017.12.007
  171. Alessandra M. Pereira, Brunno M. Campos, Ana C. Coan, Luiz F. Pegoraro, Thiago J. R. de Rezende, Ignacio Obeso, Paulo Dalgalarrondo, Jaderson C. da Costa, Jean-Claude Dreher, Fernando Cendes. Differences in Cortical Structure and Functional MRI Connectivity in High Functioning Autism. Front. Neurol. 2018;9
    https://doi.org/10.3389/fneur.2018.00539
  172. Silvia Hoirisch-Clapauch, Antonio E. Nardi. Autism spectrum disorders: let’s talk about glucose?. Transl Psychiatry 2019;9
    https://doi.org/10.1038/s41398-019-0370-4
  173. Ben van Cranenburgh. Neuropsychologie. 2019.
    https://doi.org/10.1007/978-90-368-2074-5_15
  174. Afsheen Yousaf, Regina Waltes, Denise Haslinger, Sabine M. Klauck, Eftichia Duketis, Michael Sachse, Anette Voran, Monica Biscaldi, Martin Schulte-Rüther, Sven Cichon, Markus Nöthen, Jörg Ackermann, Ina Koch, Christine M. Freitag, Andreas G. Chiocchetti. Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder. Transl Psychiatry 2020;10
    https://doi.org/10.1038/s41398-020-00906-2
  175. Swe Zin Aye, Han Ni, Htwe Htwe Sein, San Thidar Mon, Qishi Zheng, Yoko Kin Yoke Wong. D-cycloserine for autism spectrum disorder. 2019
    https://doi.org/10.1002/14651858.CD013457
  176. Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf. Channels and Features Identification: A Review and a Machine-Learning Based Model With Large Scale Feature Extraction for Emotions and ASD Classification. Front. Neurosci. 2022;16
    https://doi.org/10.3389/fnins.2022.844851
  177. Federico E. Turkheimer, Fernando E. Rosas, Ottavia Dipasquale, Daniel Martins, Erik D. Fagerholm, Paul Expert, František Váša, Louis-David Lord, Robert Leech. A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders. Neuroscientist 2022;28:382
    https://doi.org/10.1177/1073858421994784
  178. Tomokazu Tsurugizawa. Translational Magnetic Resonance Imaging in Autism Spectrum Disorder From the Mouse Model to Human. Front. Neurosci. 2022;16
    https://doi.org/10.3389/fnins.2022.872036
  179. Mai S. Elsheikh, Engy A. Ashaat, Abeer Ramadan, Nagwa H. Mohamed, Nesma M. Elaraby, Hazem Mohmed El-Hariri, Adel F. Hashish, Neveen Hassan Nashaat. Efficacy of Laser Acupuncture for Children With Autism Spectrum Disorder: Clinical, Molecular, and Biochemical Study. Pediatric Neurology 2023;147:44
    https://doi.org/10.1016/j.pediatrneurol.2023.07.009