A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB

Document Type

Article

Publication Date

1-1-2022

Abstract

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing steadily, and growing studies are sourced from open-access brain imaging repositories. Quality control becomes critical to ensure successful data processing and valid statistical results. Here, we outline a simple protocol for fMRI data pre-processing and quality control based on statistical parametric mapping (SPM) and MATLAB. The focus of this protocol is not only to identify and remove data with artifacts and anomalies, but also to ensure the processing has been performed properly. We apply this protocol to the data from fMRI Open quality control (QC) Project, and illustrate how each quality control step can help to identify potential issues. We also show that simple steps such as skull stripping can improve coregistration between the functional and anatomical images.

Identifier

105005974645 (Scopus)

Publication Title

Frontiers in Neuroimaging

External Full Text Location

https://doi.org/10.3389/fnimg.2022.1070151

e-ISSN

28131193

Volume

1

Grant

R15MH125332

Fund Ref

National Institute of Mental Health

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