Connectivity and Neural Functions of the Amygdala in Autism Spectrum Disorder
An Integrative Literature Review about Neurofunctional and Cognitive Aspects
Abstract
The amygdala is a brain structure that plays an important role in emotional and social regulation. In individuals with autistic spectrum disorder (ASD), the amygdala may have some structural and functional differences compared to neurotypical individuals. The aim of the study was to bring together aspects of current knowledge about the morphological and functional differences of the amygdala associated with neurofunctional changes and brain function abnormalities that affect the cognition of people with ASD. An integrative literature review was carried out, based on 9 articles published in the databases of the Coordination for the Improvement of Higher Education Personnel (CAPES), Online Scientific Electronic Library (SCIELO), National Library of Medicine (PubMed) and The Association for Child and Adolescent Mental Health (Mental Health) from original research conducted between 2016 to 2022. Research suggests that the amygdala in autistic people may be overactive in social situations, which can lead to increased anxiety and difficulties in social interaction. Furthermore, the amygdala may be less connected with other brain regions that are involved in understanding emotions and social processing. These differences in amygdala function may contribute to many of the hallmarks of autism symptoms, including difficulties with social communication and interaction, as well as repetitive and restrictive behaviors. However, more research is needed to fully understand how amygdala function is related to autism and how these differences can be effectively addressed, planned and implemented by health and education professionals.
References
Almehmadi, K., Tsilioni, I., e Theoharides, T.C. (2019). Increased Expression of miR-155p5 in Amygdala of Children with Autism Spectrum Disorder. Autism Research, 13, 18-23. https://doi.org/10.1002/aur.2205
Crucitti, J., Hyde1, C., Enticott, P.G., e Stokes, M.A. (2022). A systematic review of frontal lobe volume in autism spectrum disorder revealing distinct trajectories. Journal of Integrative Neurosciences, 21(2). https://doi.org/10.31083/j.jin2102057
Di Martino, A., Yan, CG, Li, Q., Denio, E., Castellanos, FX, Alaerts, K., Anderson, JS, Assaf, M., Bookheimer, SY, Dapretto, M., Deen, B., Delmonte, S., Dinstein, I., Ertl-Wagner, B., Fair, DA, Gallagher, L., Kennedy, DP, Keown, CL, Keysers, C., Lainhart, JE, Lord, C., Luna, B., Menon, V., Minshew, NJ, Monk, CS, Mueller, S., Müller, RA, Nebel, MB, Nigg, JT, O'Hearn, K., Pelphrey, KA, Peltier, SJ, Rudie, JD, Sunaert, S., Thioux, M., Tyszka, JM, Uddin, LQ, Verhoeven, JS, Wenderoth, N., Wiggins, JL, Mostofsky, SH, e Milham, MP (2013). The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular Psychiatry, 19(6), 659-67. https://doi.org/10.1038/mp.2013.78
Ecker, C., Marquand, A., Mourão-Miranda, J., Johnston, P., Daly, EM, Brammer, MJ, Maltezos, S., Murphy, CM, Robertson, D., Williams, DC, e Murphy, DGM (2010). Describing the Brain in Autism in Five Dimensions - Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach. The Journal of Neuroscience, 30(32),10612-10623. https://doi.org/10.1523/jneurosci.5413-09.2010
Ganong, H. (1987). Integrative Review of Nursing Research. Research in Nursing & Health, 10, 1-11. http://dx.doi.org/10.1002/nur.4770100103
Ibrahim, K., Eilbott, JA, Ventola, P., He, G., Pelphrey, KA, McCarthy, G., e Sukhodolsky, DG (2019). Reduced Amygdala-Prefrontal Functional Connectivity in Children with Autism Spectrum Disorder and Co-occurring Disruptive Behavior. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4(12), 1031-1041. https://doi.org/10.1016/j.bpsc.2019.01.009
Jebapriya, S., Shibin, D., Jaspher, W.K., e Naveen, S.(2019). Support Vector Machine for Classification of Autism Spectrum Disorder based on Abnormal Structure of Corpus Callosum. International Journal of Advanced Computer Science and Applications, 10(9), 489-493. https://dx.doi.org/10.14569/IJACSA.2019.0100965
Kessel, R., Steinhoff, P., Varga, O., Breznoščáková, D., Czabanowska, K., Brayne, C., Baron-Cohen, S., e Roman-Urrestarazu, A. (2020). Autism and education—Teacher policy in Europe: Policy mapping of Austria, Hungary, Slovakia and Czech Republic. Research in Developmental Disabilities 105, 103734. https://doi.org/10.1016/j.ridd.2020.103734
Kleinhans, M., Reiter, MA, Neuhaus, E., Pauley, G., Martin, N., Dager, S., e Estes, A. (2016). Subregional differences in intrinsic amygdala hyper and hypoconnectivity in autism spectrum disorder. Molecular Autism., 9(7), 760-772. https://doi.org/10.1002/aur.1589
Kriegel, G., Sayani, P., Leonard, K.H., e Sandor, P. (2023). Prevalence of Autism Spectrum Disorder (ASD) in Inpatient Adolescent Psychiatric Population. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-023-05923-w
Lew, C., Groeniger, KM, Hanson, KL, Cuevas, D., Greiner, DMZ, Hrvoj-Mihic, B., Bellugi, U., Schumann, CM, e Semendeferi, K.(2020). Serotonergic innervation of the amygdala is increased in autism spectrum disorder and decreased in Williams syndrome. Mol Autism., 11(1). https://doi.org/10.1186/s13229-019-0302-4
Lei, L., He, C., Jian, T., Guo, X., Xiao, J., Li, Y., Chen, H., Kang, X., Chen, H., e Duan, X. (2020). Attenuated link between the medial prefrontal cortex and the amygdala in children with autism spectrum disorder: evidence from effective connectivity within the “social brain”. Progress in Neuropsycho pharmacology & Biological Psychiatry, 111. https://doi.org/10.1016/j.pnpbp.2020.110147
Meisner, O.C., Nair, A., e Chang, S.W.C. (2022). Amygdala connectivity and implications for social cognition and disorders. Handbook of Clinical Neurology, 187, 381-403. https://doi.org/10.1016/B978-0-12-823493-8.00017-1
Munson, J., Faja, S., Meltzoff, A., Abbott, R., e Dawson, G. (2008). Neurocognitive predictors of social and communicative developmental trajectories in preschoolers with autism spectrum disorders. International Journal Neuropsychol Soc, 14(6), 956-966. https://doi.org/10.1017/S1355617708081393
Qi, S., Morris, R., Turner, JA, Fu, Z., Jiang, R., Deramus, TP, Zhi, D., Calhoun, VD, Sui, J. (2020). Common and unique multimodal covarying patterns in autism spectrum disorder subtypes. Molecular Autism, 11, 90. https://doi.org/10.1186/s13229-020-00397-4
Rolls, E., Zhou, Y., Cheng, W., Gilson, M., Deco, G., e Feng, J. (2020). Effective Connectivity in Autism. Autism Research, 13(1), 32-44. https://doi.org/10.1002/aur.2235
Salzwedel, A., Stephens, R.L., Goldman, B.D., Lin, W., Gilmore, J.H., e Gao, W. (2018). Development of Amygdala Functional Connectivity During Infancy and Its Relationship With 4-Year Behavioral Outcomes. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4(1), 62-71. https://doi.org/10.1016/j.bpsc.2018.08.010
Sato, W., Uono, S., e Kochiyama, T. (2020). Neurocognitive Mechanisms Underlying Social Atypicalities in Autism: Weak Amygdala’s Emotional Modulation Hypothesis. Front Psychiatry, 11. https://doi.org/10.3389/fpsyt.2020.00864
Schoch, H., Kreibich, AS, Ferri, SL, White, RS, Bohorquez, D., Banerjee, A., Port, RG, Dow, HC, Cordero, L., Pallathra, AA, Kim, H., Li, H., Bilker, WB, Hirano, S., Schultz, RT, Borgmann-Winter, K., Hahn, CG, Feldmeyer, D., Carlson, GC, Abel, T., e Brodkin, ES (2017). Sociability Deficits and Altered Amygdala Circuits in Mice Lacking Pcdh10, an Autism Associated Gene. Biol Psychiatry, 81(3), 193-202. https://doi.org/10.1016/j.biopsych.2016.06.008
Upadhyay, J., Patra, J., Tiwari, N., Salankar, N., Ansari, M.N., e Ahmad, W. (2021). Dysregulation of Multiple Signaling Neurodevelopmental Pathways during Embryogenesis: A Possible Cause of Autism Spectrum Disorder. Cells, 10(4), 958. https://doi.org/10.3390/cells10040958
Wang, H., Ma, ZH, Xu, LZ, Yang, L., Ji, ZZ, Tang, XZ, Liu, JR, Li, X., Cao, KJ, e Liu, J. (2022). Developmental brain structural atypicalities in autism: a voxel-based morphometry analysis. Child and Adolescent Psychiatry and Mental Health, 16. https://doi.org/10.1186/s13034-022-00443-4
Author Biographies
https://lattes.cnpq.br/1223372640295860
https://lattes.cnpq.br/5028921287123224
http://lattes.cnpq.br/2184497905983937
http://lattes.cnpq.br/4164323373412245
http://lattes.cnpq.br/6304356803113030
http://lattes.cnpq.br/0517271370281077
Copyright (c) 2023 Lecturas: Educación Física y Deportes
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.