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Brain-wide ongoing activity is responsible for significant cross-trial BOLD variability.
Qingqing Zhang1,2, Samuel R Cramer2,3, Zilu Ma1,2
1Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, United States.
Cerebral Cortex (New York, N.Y. : 1991)
|February 18, 2022
Summary
Ongoing brain activity significantly impacts functional magnetic resonance imaging (fMRI) results, causing variability. Removing this ongoing blood oxygenation level-dependent (BOLD) signal component improves fMRI reliability and coherence with neuronal activity.
Area of Science:
- Neuroimaging
- Systems Neuroscience
- Physiology
Background:
- Task-based functional magnetic resonance imaging (fMRI) suffers from significant cross-trial variability.
- The blood oxygenation level-dependent (BOLD) signal is modeled as a sum of stimulation-related and ongoing components.
- The spatiotemporal characteristics of ongoing BOLD activity and its impact on responses remain under-investigated.
Purpose of the Study:
- To investigate the spatiotemporal features of ongoing BOLD activity in the brain.
- To determine the effect of ongoing BOLD activity on cross-trial variability and stimulation-evoked responses.
- To develop a method for quantifying and removing ongoing BOLD activity to enhance fMRI reliability.
Main Methods:
- Measured fMRI responses to visual stimuli (light onset/offset) in awake rats.
- Simultaneously recorded neuronal activity using calcium-based fiber photometry.
- Analyzed brain-wide correlations of BOLD signals and quantified the impact of removing ongoing activity.
Main Results:
- BOLD signals across brain regions were highly correlated at zero time lag, indicating widespread ongoing activity.
- Removing ongoing activity reduced BOLD response variability by approximately 30% and increased coherence with neuronal signals.
- Ongoing BOLD activity influenced stimulation-evoked responses, including post-stimulation undershoots.
Conclusions:
- Brain-wide ongoing BOLD activity is a major source of cross-trial variability in fMRI.
- Quantifying and removing this ongoing component can significantly improve the reliability and sensitivity of fMRI.
- This method is generalizable across various fMRI experiments without altering stimulation paradigms.
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