Meta-analytic connectivity modelling of functional magnetic resonance imaging studies in autism spectrum disorders.

Autor: Goodwill AM; Physical Education and Sports Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore. alicia.goodwill@nie.edu.sg.; Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore. alicia.goodwill@nie.edu.sg., Low LT; Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore., Fox PT; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA., Fox PM; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA., Poon KK; Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore, Singapore., Bhowmick SS; School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore., Chen SHA; Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore. annabelchen@ntu.edu.sg.; Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore, Singapore. annabelchen@ntu.edu.sg.; School of Social Sciences, Psychology, Nanyang Technological University, Singapore, Singapore. annabelchen@ntu.edu.sg.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. annabelchen@ntu.edu.sg.
Jazyk: angličtina
Zdroj: Brain imaging and behavior [Brain Imaging Behav] 2023 Apr; Vol. 17 (2), pp. 257-269. Date of Electronic Publication: 2023 Jan 12.
DOI: 10.1007/s11682-022-00754-2
Abstrakt: Social and non-social deficits in autism spectrum disorders (ASD) persist into adulthood and may share common regions of aberrant neural activations. The current meta-analysis investigated activation differences between ASD and neurotypical controls irrespective of task type. Activation likelihood estimation meta-analyses were performed to examine consistent hypo-activated and/or hyper-activated regions for all tasks combined, and for social and non-social tasks separately; meta-analytic connectivity modelling and behavioral/paradigm analyses were performed to examine co-activated regions and associated behaviors. One hundred studies (mean age range = 18-41 years) were included. For all tasks combined, the ASD group showed significant (p < .05) hypo-activation in one cluster around the left amygdala (peak - 26, -2, -20, volume = 1336 mm 3 , maximum ALE = 0.0327), and this cluster co-activated with two other clusters around the right cerebellum (peak 42, -56, -22, volume = 2560mm 3 , maximum ALE = 0.049) Lobule VI/Crus I and the left fusiform gyrus (BA47) (peak - 42, -46, -18, volume = 1616 mm 3 , maximum ALE = 0.046) and left cerebellum (peak - 42, -58, -20, volume = 1616mm 3 , maximum ALE = 0.033) Lobule VI/Crus I. While the left amygdala was associated with negative emotion (fear) (z = 3.047), the left fusiform gyrus/cerebellum Lobule VI/Crus I cluster was associated with language semantics (z = 3.724) and action observation (z = 3.077). These findings highlight the left amygdala as a region consistently hypo-activated in ASD and suggest the potential involvement of fusiform gyrus and cerebellum in social cognition in ASD. Future research should further elucidate if and how amygdala-fusiform/cerebellar connectivity relates to social and non-social cognition in adults with ASD.
(© 2022. The Author(s).)
Databáze: MEDLINE
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