To evaluate the routine usage of Magnetic Resonance Imaging (MRI) of brain and estimate the prevalence of brain abnormalities in children presenting to the Neurodevelopment Clinic of Al-Khadra Hospital (NDC-KH), Tripoli, Libya with autistic spectrum disorders (ASD). The records of all children with ASD presented to NDC-KH over 4-year period (from January 2009 to December 2012) were reviewed. All MRIs were acquired with a 1.5-T Philips (3-D T1, T2, FLAIR coronal and axial sequences). MRIs were reported to be normal, abnormal or no significant abnormalities by a consultant neuroradiologist. One thousand and seventy-five children were included in the study. Seven hundred and eighty-two children (72.7 %) had an MRI brain of whom 555 (71 %) were boys. 26 children (24 males and 2 females) (3.3 %) demonstrated MRI abnormalities (8 leukodystrophic changes, 4 periventricular leukomalacia, 3 brain atrophy, 2 tuberous sclerosis, 2 vascular changes, 1 pineoblastoma, 1 cerebellar angioma, 1 cerebellar hypoplasia, 3 agenesis of corpus callosum, 1 neuro-epithelial cyst). An unexpectedly high rate of MRI abnormalities was found in the first large series of clinical MRI investigations in children with autism. These results could contribute to further research into the pathogenesis of autistic spectrum disorder.
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http://dx.doi.org/10.1007/s13760-014-0384-x | DOI Listing |
Mol Autism
January 2025
Department of Special Education, University of Haifa, Haifa, Israel.
Background: Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited.
View Article and Find Full Text PDFClin Child Psychol Psychiatry
January 2025
Cotton Exchange Chambers, Liverpool, UK.
Objective: Anxiety rates amongst autistic youth range from 11% to 84%. While Cognitive Behavioural Therapy (CBT) is an effective treatment of anxiety in neurotypical youth, there are concerns autistic youth lack the cognitive resources necessary to effectively engage with CBT. It is also unclear whether standard or adapted CBT is more effective.
View Article and Find Full Text PDFCurr Opin Psychiatry
December 2024
Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center at Village of Vanderbilt.
Purpose Of Review: Over the last quarter century, the clinical evidence surrounding the use of electroconvulsive therapy (ECT) in individuals with autism spectrum disorder (ASD) has expanded. This review provides the most up-to-date findings on the usage of ECT in ASD and discusses these results within the historical context and direct patient care experience.
Recent Findings: ECT is typically implemented for psychotropic-refractory catatonic, affective, psychotic, and combined pathology for individuals across the lifespan.
Nat Ment Health
January 2025
Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland.
Atypical face processing is commonly reported in autism. Its neural correlates have been explored extensively across single neuroimaging modalities within key regions of the face processing network, such as the fusiform gyrus (FFG). Nonetheless, it is poorly understood how variation in brain anatomy and function jointly impacts face processing and social functioning.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
School of Medicine, Tianjin University, Tianjin, China.
Individuals with high autistic traits (AT) encounter challenges in social interaction, similar to autistic persons. Precise screening and focused interventions positively contribute to improving this situation. Functional connectivity analyses can measure information transmission and integration between brain regions, providing neurophysiological insights into these challenges.
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