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Related Experiment Video

Updated: Jun 8, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Multisite reliability of cognitive BOLD data.

Gregory G Brown¹, Daniel H Mathalon, Hal Stern

¹VA San Diego Healthcare System and University of California San Diego, Department of Psychiatry, San Diego, CA 92161, USA. gbrown@ucsd.edu

|October 12, 2010

Summary

This summary is machine-generated.

Multi-site functional magnetic resonance imaging (fMRI) studies face challenges from site variation. However, averaging data across runs significantly improves between-site reliability for blood oxygen-level-dependent (BOLD) signals.

Related Experiment Videos

Last Updated: Jun 8, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Area of Science:

Neuroimaging
Cognitive Neuroscience
Psychiatric Research

Background:

Multi-site functional magnetic resonance imaging (fMRI) studies are crucial for increasing statistical power and generalizability.
Undesired site variation in imaging protocols can potentially offset these benefits.
Understanding sources of variation is key to improving the reliability of multi-site fMRI data.

Purpose of the Study:

To investigate sources of variation in the blood oxygen-level-dependent (BOLD) signal across different magnetic resonance imaging (MRI) sites.
To assess the impact of person variance, site variance, and their interactions on BOLD signal variability.
To determine the effect of averaging runs on between-site reliability in voxelwise and region-of-interest (ROI) analyses.

Main Methods:

Variance components analysis was employed to examine BOLD signal variation.
Data were collected from 18 participants across four 3-Tesla (3T) MRI scanners.
Participants completed a working memory task with emotional or neutral distraction over eight runs.

Main Results:

Person variance was substantially larger than site variance for most ROIs.
Person-by-site interactions contributed significantly to unwanted variance.
Averaging over runs enhanced between-site reliability, with many voxels and ROIs demonstrating good to excellent reliability.

Conclusions:

While between-site reliability of BOLD data can be achieved, it is influenced by the specific functional contrast and number of runs averaged.
Reliable multi-site fMRI data acquisition necessitates robust activation paradigms, consistent quality assurance, and meticulous experimental control.
Dissociations between effect size and reliability highlight the importance of considering individual differences and response patterns.