Advanced Neuroimaging Methodologies: fMRI Dynamics
Modeling the BOLD Signal
Hemodynamic Convolution
Functional MRI relies on the Blood-Oxygen-Level-Dependent (BOLD) signal, an indirect measure of neural activity. Because the vascular response is sluggish, the expected BOLD signal is modeled by convolving the stimulus onset function with the Hemodynamic Response Function (HRF) :
Standard fMRI Preprocessing Pipeline
The Multiple Comparisons Problem
A standard fMRI scan contains over 100,000 voxels. Running a t-test on each voxel requires strict correction for multiple comparisons to avoid massive false positives. Common methods include Family-Wise Error (FWE) correction via Random Field Theory or False Discovery Rate (FDR).
Which fMRI preprocessing step aligns functional images to the participant's own high-resolution anatomical T1 image?
Coregistration is the process of aligning two different modalities from the same individual (e.g., functional T2* images to anatomical T1 images). Normalization aligns to a standard template.
Correct answer: Coregistration
What acronym describes the general statistical framework used to analyze fMRI time-series data at the individual subject level?
The General Linear Model (GLM) is used to fit the convolved stimulus predictors to the observed BOLD time series for each voxel.
Correct answer: GLM
fMRI vs. EEG
Functional MRI (fMRI)
- High spatial resolution (millimeters).
- Low temporal resolution (seconds) due to sluggish BOLD response.
- Measures hemodynamics (indirect neural correlate).
Electroencephalography (EEG)
- Low spatial resolution (centimeters) due to volume conduction.
- High temporal resolution (milliseconds).
- Measures direct electrical activity (post-synaptic potentials).