Computational Analysis Techniques: A Case Study On Fmri For Autism Spectrum Disorder

Document Type

Book Chapter

Source of Publication

Neurological Disorders And Imaging Physics, Vol 3: Application To Autism Spectrum Disorders And Alzheimer's

Publication Date

11-1-2019

Abstract

Functional magnetic resonance imaging (MRI) is one of the most promising techniques in neuro-imaging. It is mainly used to either record the response of a subject to a certain task (task based fMRI) or to assess the functional connectivity while at rest (resting state fMRI). In this survey, both fMRI techniques are explained and the most commonly used techniques in each of them are discussed and criticized. For each technique the hypothesis used and the mathematical background is discussed.

ISBN

978-0-7503-1793-1; 978-0-7503-1764-1

Publisher

IOP Publishing

Disciplines

Medicine and Health Sciences

Keywords

Independent Component Analysis, Image-analysis Approach, Resting-state Networks, Functional Connectivity, Early-diagnosis, Blood-vessels, Cortical Underconnectivity, Reward Anticipation, Automatic-analysis, Brain Activity

Indexed in Scopus

no

Open Access

no

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