Symptom severity as a risk factor for self-injurious behaviours in adolescents with autism spectrum disorders

2015 ◽  
Vol 59 (8) ◽  
pp. 730-741 ◽  
Author(s):  
C. Rattaz ◽  
C. Michelon ◽  
A. Baghdadli
2020 ◽  
Vol 31 (1) ◽  
pp. 681-693 ◽  
Author(s):  
Emmanuel Peng Kiat Pua ◽  
Phoebe Thomson ◽  
Joseph Yuan-Mou Yang ◽  
Jeffrey M Craig ◽  
Gareth Ball ◽  
...  

Abstract The neurobiology of heterogeneous neurodevelopmental disorders such as Autism Spectrum Disorders (ASD) is still unknown. We hypothesized that differences in subject-level properties of intrinsic brain networks were important features that could predict individual variation in ASD symptom severity. We matched cases and controls from a large multicohort ASD dataset (ABIDE-II) on age, sex, IQ, and image acquisition site. Subjects were matched at the individual level (rather than at group level) to improve homogeneity within matched case–control pairs (ASD: n = 100, mean age = 11.43 years, IQ = 110.58; controls: n = 100, mean age = 11.43 years, IQ = 110.70). Using task-free functional magnetic resonance imaging, we extracted intrinsic functional brain networks using projective non-negative matrix factorization. Intrapair differences in strength in subnetworks related to the salience network (SN) and the occipital-temporal face perception network were robustly associated with individual differences in social impairment severity (T = 2.206, P = 0.0301). Findings were further replicated and validated in an independent validation cohort of monozygotic twins (n = 12; 3 pairs concordant and 3 pairs discordant for ASD). Individual differences in the SN and face-perception network are centrally implicated in the neural mechanisms of social deficits related to ASD.


2012 ◽  
Vol 54 (2) ◽  
pp. 186-194 ◽  
Author(s):  
Emily Simonoff ◽  
Catherine R. G. Jones ◽  
Gillian Baird ◽  
Andrew Pickles ◽  
Francesca Happé ◽  
...  

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