Functional Magnetic Resonance Imaging: Design and Analysis

Pia Rotshtein; Charumati Raghavan

doi:10.1016/B978-0-12-819641-0.00169-9

Functional Magnetic Resonance Imaging: Design and Analysis

Pia Rotshtein, Charumati Raghavan

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This article is a basic introduction to design and analysis for functional Magnetic Resonance Imaging (fMRI) studies. The article describes the fMRI experimental set up and commonly used spatial and temporal data pre-processing steps. It then describes a typical study design, differentiating between task-based and resting-state fMRI. It is followed by a brief description of statistical analysis techniques used to draw inferences, including univariate and multivariate approaches. At the end, most common software used to analysis fMRI data are listed.

Original language	English
Title of host publication	Encyclopedia of Behavioral Neuroscience
Subtitle of host publication	Volumes 1-3, Second edition
Publisher	Elsevier
Pages	V1-114-V1-125
Volume	1-3
ISBN (Electronic)	9780128196410
DOIs	https://doi.org/10.1016/B978-0-12-819641-0.00169-9
State	Published - 1 Jan 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd. All rights reserved.

Keywords

1st level analysis
2nd level analysis
MNI space
Mass univariate analysis
Motion correction
Multivariate analysis
Normalisation
Talairach space

ASJC Scopus subject areas

General Medicine
General Neuroscience

Access to Document

10.1016/B978-0-12-819641-0.00169-9

Cite this

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KW - 2nd level analysis

KW - MNI space

KW - Mass univariate analysis

KW - Motion correction

KW - Multivariate analysis

KW - Normalisation

KW - Talairach space

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PB - Elsevier

ER -

Functional Magnetic Resonance Imaging: Design and Analysis

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this