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Regional dynamic signal changes during controlled hyperventilation assessed with blood oxygen level-dependent
S Posse1, U Olthoff, M Weckesser
1Institute of Medicine, Research Center Jülich GmbH, Germany.
AJNR. American Journal of Neuroradiology
|November 21, 1997
Summary
Functional MRI (fMRI) signal decreases significantly in gray matter during hyperventilation, with delays relative to CO2 changes. These findings highlight potential confounds in fMRI studies of brain activation.
Area of Science:
- Neuroimaging
- Physiology
Background:
- Functional magnetic resonance imaging (fMRI) is a key tool for studying brain activity.
- Understanding signal dynamics during physiological challenges like hyperventilation is crucial for accurate interpretation.
Purpose of the Study:
- To quantify amplitude and temporal changes in regional fMRI signals during voluntary hyperventilation.
- To assess the sensitivity and dynamics of blood oxygen level-dependent (BOLD) signals in response to controlled hypocapnia.
Main Methods:
- Seven male subjects underwent voluntary hyperventilation to a target PetCO2 of 20 mm Hg, monitored by capnometry.
- Multisection echo-planar MR images were acquired using specific parameters (TR/TE=1000/66 ms, flip angle=30°, voxel size=3x3x5 mm³).
- Regional fMRI signal changes, time delays, and time constants relative to PetCO2 variations were analyzed.
Main Results:
- Rapid, substantial decreases (up to 10%) in fMRI signal were observed in gray matter within 20 seconds, exceeding changes in white matter.
- Regional effects were more pronounced in frontal, occipital, and parietooccipital cortex compared to subcortical areas or cerebellum.
- fMRI signal decreases showed significant delays relative to PetCO2 reduction; regional time constant differences were not statistically significant.
Conclusions:
- Regional differences in fMRI signal changes during hyperventilation may indicate variations in brain metabolism, vascular control, and capillary density.
- Unregulated respiratory changes in arterial PCO2 can confound the interpretation of activation-related fMRI signals.