MP-PCA denoising of fMRI time-series data can lead to artificial activation "spreading".
Francisca F. FernandesJonas Lynge OlesenSune Nørhøj JespersenNoam ShemeshPublished in: NeuroImage (2023)
Keyphrases
- denoising
- activation detection
- functional mri
- principal component analysis
- activation patterns
- image denoising
- total variation
- noisy images
- image processing
- high dimensional
- principal components
- human brain
- functional magnetic resonance imaging
- data analysis
- brain images
- natural images
- principal components analysis
- noise removal
- wavelet domain
- brain activity
- dimension reduction
- feature extraction
- dimensionality reduction
- independent component analysis
- information processing
- brain activation
- event related
- face recognition
- denoising methods
- denoising algorithm
- visuo motor
- magnetic resonance imaging
- covariance matrix
- low dimensional
- magnetic resonance images
- kernel pca
- feature space
- multiresolution
- data points
- motion correction
- computer vision
- wavelet transform
- face images