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Multiple Comparison Tests

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

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Harmonization of multi-site MRS data with ComBat.

Tiffany K Bell¹, Kate J Godfrey¹, Ashley L Ware²

¹Department of Radiology, University of Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, 28 Oki Drive, Calgary, AB T3B 6A9, Canada.

|May 26, 2022

Summary

This summary is machine-generated.

ComBat harmonization effectively removes scanner and site variability in multi-site magnetic resonance spectroscopy (MRS) studies. This technique enables the detection of biological signals, such as sex and age effects on brain metabolites, previously obscured by technical noise.

Keywords:

ComBat GABA-edited Harmonization Macromolecule-suppressed Magnetic resonance spectroscopy Multi-site

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Area of Science:

Neuroimaging
Biochemistry
Data Science

Background:

Magnetic Resonance Spectroscopy (MRS) measures brain chemistry non-invasively.
Multi-site MRS studies face challenges with non-biological variability from scanner vendors and site-specific acquisitions.
Existing data harmonization techniques like ComBat are validated for MRI but not yet for MRS metabolites.

Purpose of the Study:

To investigate the validity of ComBat for harmonizing MRS-measured metabolites across multiple sites and vendors.
To assess ComBat's ability to remove technical variability in MRS data.
To determine if harmonization reveals previously undetectable biological associations.

Main Methods:

Utilized ComBat, a data harmonization technique, on MRS data from 20 sites.
Analyzed edited MRS for GABA+ and macromolecule-suppressed GABA.
Quantified NAA, creatine, choline, and glutamate using standard PRESS MRS.

Main Results:

ComBat successfully mitigated vendor and site differences for all targeted MRS metabolites.
Harmonization revealed significant associations between sex and choline.
Age-related associations with glutamate and GABA+ were detected post-harmonization.

Conclusions:

ComBat harmonization is a valid and effective method for multi-site MRS studies.
Removing technical variability is crucial for detecting biological effects in MRS data.
ComBat enhances the utility of MRS for studying neurological disorders across diverse sites.