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EEG complexity as an ASD biomarker: a data-driven study for the identification of electrophysiological correlates of ASD

Abstract:

Autism Spectrum Disorders (ASD) are a group of lifelong neurodevelopmental disorders, described by three core deficits which are thought to be consequences of atypical cortical activity. Abnormal neural connectivity underlying ASD could be inferred from dynamical system characteristics of the brain measured from electroencephalography (EEG) time series. Simple EEG measurement have the potential to provide important clinical biomarkers for early identification, risk assessment and monitorin...

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Department:
University of Oxford
Role:
Author, Copyright Holder

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Role:
Supervisor
Type of award:
MSc by Research
Level of award:
Masters
Awarding institution:
University of Oxford
Language:
English
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