Literature DB >> 17710821

Heterogeneity in the patterns of neural abnormality in autistic spectrum disorders: evidence from ERP and MRI.

Claire H Salmond1, Faraneh Vargha-Khadem, David G Gadian, Michelle de Haan, Torsten Baldeweg.   

Abstract

Autistic spectrum disorder (ASD) refers to a heterogeneous group of social communication problems. Research into the neural basis of ASD has revealed abnormalities in a number of different regions of the brain. However, the literature is highly inconsistent. One possible explanation for these discrepancies is differences in intelligence. Children with ASD and below average intelligence may be hypothesised to show additional or different neural abnormalities. This possibility was explored using structural magnetic resonance imaging (MRI) and event-related potentials (ERP). Two groups of children with ASD were studied, those with average or above average intelligence (high ASD group) and those with below average intelligence (low ASD group). The structural MRI data were analysed using voxel-based morphometry (VBM). Using the family-wise error threshold, results showed bilateral abnormality common to the two ASD groups in the cerebellum, fusiform gyrus and frontal cortex. In addition, a number of regions were found to be significantly different in the two ASD groups: regions of the cerebellum showed increased grey matter density bilaterally in the high ASD group, but decreased grey matter density bilaterally in the low ASD group. Further, compared to the high ASD group, additional bilateral abnormalities were found in the postcentral gyrus and regions of the dorsolateral prefrontal cortex in the low ASD group. Using the less stringent false discovery rate (FDR) threshold, differences were also seen in the medial temporal lobes. ERPs also showed differences between the two ASD groups. Whereas the ERPs of the high ASD group were not significantly different from those of the controls, the low ASD group had delayed novelty P3a responses and reduced amplitude target P3b components. These data provide convergent ERP and MRI evidence for the heterogeneity of neural abnormality in ASD in relation to variations in intelligence.

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Year:  2007        PMID: 17710821     DOI: 10.1016/s0010-9452(08)70498-2

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  36 in total

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Review 3.  Event related potentials in the understanding of autism spectrum disorders: an analytical review.

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4.  Brainstem transcription of speech is disrupted in children with autism spectrum disorders.

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5.  Test-retest reliability of the N2 event-related potential in school-aged children with autism spectrum disorder (ASD).

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Review 6.  1H-MRS in autism spectrum disorders: a systematic meta-analysis.

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7.  Conditional neuroligin-2 knockout in adult medial prefrontal cortex links chronic changes in synaptic inhibition to cognitive impairments.

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8.  Toward an Individualized Neural Assessment of Receptive Language in Children.

Authors:  Selene Petit; Nicholas A Badcock; Tijl Grootswagers; Anina N Rich; Jon Brock; Lyndsey Nickels; Denise Moerel; Nadene Dermody; Shu Yau; Elaine Schmidt; Alexandra Woolgar
Journal:  J Speech Lang Hear Res       Date:  2020-07-08       Impact factor: 2.297

9.  Effects of background noise on cortical encoding of speech in autism spectrum disorders.

Authors:  Nicole Russo; Steven Zecker; Barbara Trommer; Julia Chen; Nina Kraus
Journal:  J Autism Dev Disord       Date:  2009-04-08

10.  Diagnosis of autism spectrum disorders using regional and interregional morphological features.

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Journal:  Hum Brain Mapp       Date:  2013-11-06       Impact factor: 5.038

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