Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28116
Title: A review of the use of EEG connectivity to measure the neurological characteristics of the sensory features in young people with autism
Contributor(s): Sarmukadam, Kimaya  (author); Sharpley, Christopher F  (author)orcid ; Bitsika, Vicki  (author)orcid ; McMillan, Mary M E  (author)orcid ; Agnew, Linda L  (author)orcid 
Publication Date: 2019-07-26
Early Online Version: 2018-10-01
DOI: 10.1515/revneuro-2018-0070
Handle Link: https://hdl.handle.net/1959.11/28116
Abstract: Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting about 1 in 100 children and is currently incurable. ASD represents a challenge to traditional methods of assessment and diagnosis, and it has been suggested that direct measures of brain activity and connectivity between brain regions during demanding tasks represents a potential pathway to building more accurate models of underlying brain function and ASD. One of the key behavioural diagnostic indicators of ASD consists of sensory features (SF), often characterised by over- or under-reactivity to environmental stimuli. SF are associated with behavioural difficulties that impede social and education success in these children as well as anxiety and depression. This review examines the previous literature on the measurement of EEG connectivity and SF observed in individuals with ASD.
Publication Type: Journal Article
Source of Publication: Reviews in the Neurosciences, 30(5), p. 497-510
Publisher: Walter de Gruyter GmbH
Place of Publication: Germany
ISSN: 2191-0200
0334-1763
Fields of Research (FoR) 2008: 110999 Neurosciences not elsewhere classified
Fields of Research (FoR) 2020: 320903 Central nervous system
Socio-Economic Objective (SEO) 2008: 920111 Nervous System and Disorders
Socio-Economic Objective (SEO) 2020: 200409 Mental health
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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