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A Free-breathing fMRI Method to Study Human Olfactory Function
Published on: July 30, 2017
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Improved Activation and Hemodynamic Response Function of Olfactory fMRI Using Simultaneous Multislice with Reduced TR
Hong Chen1, Jianzhong Yin2, Che He1
1The First Central Clinical College of Tianjin Medical University, Tianjin 300070, China.
Biomed Research International
|January 10, 2022
Summary
Simultaneous multislice (SMS) technology with reduced repetition time (TR) significantly enhances olfactory functional MRI (fMRI) by improving blood oxygen-level-dependent (BOLD) activation and hemodynamic response function (HRF) modeling.
Area of Science:
- Neuroimaging
- Olfactory Neuroscience
- Magnetic Resonance Imaging
Background:
- Respiration can desynchronize odor stimulation and data acquisition in olfactory fMRI.
- This desynchronization degrades functional activation and hemodynamic response function (HRF) with conventional repetition times (TR).
Purpose of the Study:
- To evaluate if simultaneous multislice (SMS) technology with reduced TR can improve BOLD activation and HRF modeling in olfactory fMRI.
- To assess the impact of different TRs (3000ms, 1000ms, 500ms) on olfactory fMRI metrics.
Main Methods:
- Olfactory fMRI was performed on 16 healthy subjects using a 3T MRI scanner.
- Data were acquired with SMS acceleration at TRs of 3000ms, 1000ms, and 500ms.
- BOLD activation metrics and HRF parameters were analyzed in the amygdalae, hippocampi, and insulae.
Main Results:
- TRs of 500ms and 1000ms significantly improved BOLD activation (activated voxels, t-scores) in the amygdalae and insulae compared to 3000ms (P < 0.05).
- No significant differences in activation were found between 500ms and 1000ms TRs across regions of interest (ROIs).
- Faster TRs (500ms, 1000ms) resulted in higher HRF response height and shorter time to peak compared to 3000ms.
Conclusions:
- SMS technology with reduced TR significantly enhances functional activation and HRF in olfactory fMRI.
- This technique offers a promising approach to optimize olfactory fMRI studies by improving signal quality and temporal resolution.

