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Billet publié sur Twitter/X le 01/08/2013 03:56

Twitter/X Publication avec DOI crossref Question posée par Dawson dans le billet Lien intégré au billet Termes sur l’autisme

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Publication avec DOI Récupéré Publication crossref

Frank H Duffy, Aditi Shankardass, Gloria B McAnulty, Heidelise Als (2013). The relationship of Asperger’s syndrome to autism: a preliminary EEG coherence study. BMC Medicine, 11(1), 175-175. Springer Science and Business Media LLC.

Date de publication
31/07/2013
Identifiant
10.1186/1741-7015-11-175
Auteurs
Frank H Duffy, Aditi Shankardass, Gloria B McAnulty, Heidelise Als
Source
BMC Medicine
Détails
11(1), 175-175
Type de référence
article
Éditeur
Springer Science and Business Media LLC
Source de métadonnées
crossref

Résumé

BACKGROUND: It has long been debated whether Asperger's Syndrome (ASP) should be considered part of the Autism Spectrum Disorders (ASD) or whether it constitutes a unique entity. The Diagnostic and Statistical Manual, fourth edition (DSM-IV) differentiated ASP from high functioning autism. However, the new DSM-5 umbrellas ASP within ASD, thus eliminating the ASP diagnosis. To date, no clear biomarkers have reliably distinguished ASP and ASD populations. This study uses EEG coherence, a measure of brain connectivity, to explore possible neurophysiological differences between ASP and ASD. METHODS: Voluminous coherence data derived from all possible electrode pairs and frequencies were previously reduced by principal components analysis (PCA) to produce a smaller number of unbiased, data-driven coherence factors. In a previous study, these factors significantly and reliably differentiated neurotypical controls from ASD subjects by discriminant function analysis (DFA). These previous DFA rules are now applied to an ASP population to determine if ASP subjects classify as control or ASD subjects. Additionally, a new set of coherence based DFA rules are used to determine whether ASP and ASD subjects can be differentiated from each other. RESULTS: Using prior EEG coherence based DFA rules that successfully classified subjects as either controls or ASD, 96.2% of ASP subjects are classified as ASD. However, when ASP subjects are directly compared to ASD subjects using new DFA rules, 92.3% ASP subjects are identified as separate from the ASD population. By contrast, five randomly selected subsamples of ASD subjects fail to reach significance when compared to the remaining ASD populations. When represented by the discriminant variable, both the ASD and ASD populations are normally distributed. CONCLUSIONS: Within a control-ASD dichotomy, an ASP population falls closer to ASD than controls. However, when compared directly with ASD, an ASP population is distinctly separate. The ASP population appears to constitute a neurophysiologically identifiable, normally distributed entity within the higher functioning tail of the ASD population distribution. These results must be replicated with a larger sample given their potentially immense clinical, emotional and financial implications for affected individuals, their families and their caregivers.

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