Vascular Contributions to fMRI Pattern Analysis
Author Information
Author(s): Russell Thompson, Marta Correia, Rhodri Cusack
Primary Institution: MRC Cognition and Brain Sciences Unit
Hypothesis
The study investigates the vascular contribution to pattern analyses at 3T by comparing gradient and spin echo fMRI data.
Conclusion
The results suggest that a considerable proportion of the signal used by pattern analysis originates in the vasculature.
Supporting Evidence
- Classification accuracy in spin echo data was not significantly different from chance.
- Classification accuracies in gradient echo data were significantly above chance.
- Participants made correct responses on 91.2% of trials.
Takeaway
This study looked at how blood vessels affect brain scans and found that the signals from these vessels are important for understanding brain activity.
Methodology
Participants were scanned using both gradient echo and spin echo EPI sequences while performing a task that allowed classification of activity patterns.
Potential Biases
null
Limitations
Three participants were excluded from analysis due to excessive head movement.
Participant Demographics
Five male participants, mean age 24 years 7 months, range 19–36 years, all right-handed with normal or corrected vision.
Statistical Information
P-Value
p<0.001
Confidence Interval
null
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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