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Updated: Aug 12, 2025

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Real-time feedback reduces participant motion during task-based fMRI.

Chad S Rogers¹, Michael S Jones², Sarah McConkey²

¹Department of Psychology, Union College.

Biorxiv : the Preprint Server for Biology

|January 30, 2023

Summary

This summary is machine-generated.

Real-time motion feedback significantly reduced head motion during task-based functional MRI (fMRI) scans. This strategy shows promise for improving data quality in neuroimaging studies.

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Area of Science:

Neuroimaging
Cognitive Neuroscience
Magnetic Resonance Imaging

Background:

Head motion during functional magnetic resonance imaging (fMRI) compromises data quality.
While real-time feedback reduces motion in resting-state fMRI, its efficacy in task-based fMRI remains unclear.
Optimizing data quality requires minimizing head movement during fMRI acquisition.

Approach:

Investigated the impact of real-time and between-run motion feedback on task-based fMRI.
Utilized FIRMM software for real-time motion parameter calculation and feedback delivery.
Assessed motion using framewise displacement (FD) in 78 adult participants during an auditory word repetition task.

Key Points:

Motion feedback led to a statistically significant reduction in head motion (average FD decreased from 0.347 to 0.282).
The reduction in motion was more pronounced during high-motion events.
Effect size for motion reduction was small-to-moderate.

Conclusions:

Real-time motion feedback can be effective in reducing head movement during task-based fMRI under certain conditions.
Participant population and task demands may influence the effectiveness of motion feedback.
This approach offers a promising strategy for enhancing fMRI data quality in task-based studies.