Pubmed du 11/02/24
1. Allely CS, Jouenne E, Westphal A, Staufenberg E, Murphy D. Autism spectrum disorder, extremism and risk assessment. Crim Behav Ment Health;2024 (Feb 11)
BACKGROUND: To date, there is no evidence supporting the existence of an association between Autism Spectrum Disorder (ASD) and extremism in the general population. However, there is increasing recognition that several features of ASD may provide the context of vulnerability to engage in extremist behaviour. AIMS: This paper sets out the case for a dedicated clinical approach to better integrate clinical risk appraisal processes with an assessment of ASD individuals’ vulnerabilities within the Criminal Justice System. METHODS AND RESULTS: In this paper the Framework for the Assessment of Risk & Protection in Offenders on the Autistic Spectrum (FARAS): A Guide for Risk Assessors Working with Offenders on the Autistic Spectrum is explored. In developing the FARAS, Al-Attar proposed seven facets of ASD that ‘may have different functional links with push and pull factors to terrorism’ (p. 928), which include circumscribed interests; rich vivid fantasy and impaired social imagination; need for order, rules, rituals, routine and predictability; obsessionality, repetition and collecting; social interaction and communication difficulties; cognitive styles and Sensory processing. DISCUSSION AND CONCLUSION: We describe the FARAS within the context of the most widely used clinical risk appraisal ‘aide memoire’ instruments integral to the Structured Professional Judgement of risk process, namely the HCR20v3.
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2. Yoo S, Jang Y, Hong SJ, Park H, Valk SL, Bernhardt BC, Park BY. Whole-brain structural connectome asymmetry in autism. Neuroimage;2024 (Feb 8):120534.
Autism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry in individuals with autism using diffusion magnetic resonance imaging obtained from the Autism Brain Imaging Data Exchange initiative. By leveraging dimensionality reduction techniques, we constructed low-dimensional representations of structural connectivity and calculated their asymmetry index. Comparing the asymmetry index between individuals with autism and neurotypical controls, we found atypical structural connectome asymmetry in the sensory and default-mode regions, particularly showing weaker asymmetry towards the right hemisphere in autism. Network communication provided topological underpinnings by demonstrating that the inferior temporal cortex and limbic and frontoparietal regions showed reduced global network communication efficiency and decreased send-receive network navigation in the inferior temporal and lateral visual cortices in individuals with autism. Finally, supervised machine learning revealed that structural connectome asymmetry could be used as a measure for predicting communication-related autistic symptoms and nonverbal intelligence. Our findings provide insights into macroscale structural connectome alterations in autism and their topological underpinnings.
