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Published on: March 21, 2019
Transients may occur in functional magnetic resonance imaging without physiological basis
1Brain Research Unit, Low Temperature Laboratory, and Advanced Magnetic Imaging Centre, Helsinki University of Technology (TKK), Puumiehenkuja 2B, 02015 TKK, Espoo, Finland. ville@neuro.hut.fi
Transient deflections in functional magnetic resonance imaging (fMRI) blood oxygen level dependent (BOLD) signals may be artifacts. Our phantom study suggests these transients arise from imaging slice misalignment, not physiological changes.
Area of Science:
- Neuroimaging
- Biophysics
Background:
- Functional magnetic resonance imaging (fMRI) measures brain activity via the blood oxygen level dependent (BOLD) signal.
- BOLD signal changes, including transient overshoots and undershoots, are of significant interest for understanding neural responses.
- Previous interpretations of these transients often linked them to cerebral blood flow and volume dynamics.
Purpose of the Study:
- To investigate the origin of transient deflections observed in fMRI BOLD signals.
- To determine if these transients represent genuine physiological changes or measurement artifacts.
Main Methods:
- Simulated BOLD responses in fMRI phantoms with controlled magnetic field variations.
- Detailed analysis and computational modeling of signal transients.
- Investigation of the influence of measurement parameters, such as the time between excitations.
Main Results:
- Prominent transient deflections were observed in phantom BOLD signals, even with square-wave magnetic field changes.
- These transients were found to originate from partial misalignment between imaging slices and neuronal activation.
- The magnitude of transients was significantly dependent on measurement parameters like repetition time.
Conclusions:
- Transient overshoots and undershoots in fMRI BOLD signals may not always reflect physiological changes.
- Activation-related partial slice misalignment is a potential source of spurious transients.
- Careful consideration of measurement parameters is crucial for accurate physiological interpretation of BOLD signal dynamics.
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