Tensor denoising of multidimensional MRI data
Purpose To develop a denoising strategy leveraging redundancy in high‐dimensional data.
Theory and Methods The SNR fundamentally limits the information accessible by MRI. This …
Theory and Methods The SNR fundamentally limits the information accessible by MRI. This …
[HTML][HTML] MP-PCA denoising of fMRI time-series data can lead to artificial activation “spreading”
MP-PCA denoising has become the method of choice for denoising MRI data since it
provides an objective threshold to separate the signal components from unwanted thermal …
provides an objective threshold to separate the signal components from unwanted thermal …
[HTML][HTML] Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies
As the neuroimaging field moves towards detecting smaller effects at higher spatial
resolutions, and faster sampling rates, there is increased attention given to the deleterious …
resolutions, and faster sampling rates, there is increased attention given to the deleterious …
[HTML][HTML] Reliability of resting-state functional connectivity in the human spinal cord: assessing the impact of distinct noise sources
The investigation of spontaneous fluctuations of the blood-oxygen-level-dependent (BOLD)
signal has recently been extended from the brain to the spinal cord, where it has stimulated …
signal has recently been extended from the brain to the spinal cord, where it has stimulated …
[HTML][HTML] MP-PCA denoising for diffusion MRS data: promises and pitfalls
Diffusion-weighted (DW) magnetic resonance spectroscopy (MRS) suffers from a lower
signal to noise ratio (SNR) compared to conventional MRS owing to the addition of diffusion …
signal to noise ratio (SNR) compared to conventional MRS owing to the addition of diffusion …
Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases
Brain pathologies are characterized by microscopic changes in neurons and synapses that
reverberate into large scale networks altering brain dynamics and functional states. An …
reverberate into large scale networks altering brain dynamics and functional states. An …
Efficient PCA denoising of spatially correlated redundant MRI data
Marčenko-Pastur PCA (MPPCA) denoising is emerging as an effective means for noise
suppression in MR imaging (MRI) acquisitions with redundant dimensions. However …
suppression in MR imaging (MRI) acquisitions with redundant dimensions. However …
Denoise functional magnetic resonance imaging with random matrix theory based principal component analysis
High-resolution functional MRI (fMRI) is largely hindered by random thermal noise. Random
matrix theory (RMT)-based principal component analysis (PCA) is promising to reduce such …
matrix theory (RMT)-based principal component analysis (PCA) is promising to reduce such …
PIRACY: An optimized pipeline for functional connectivity analysis in the rat brain
Y Diao, T Yin, R Gruetter, IO Jelescu - Frontiers in Neuroscience, 2021 - frontiersin.org
Resting state functional MRI (rs-fMRI) is a widespread and powerful tool for investigating
functional connectivity (FC) and brain disorders. However, FC analysis can be seriously …
functional connectivity (FC) and brain disorders. However, FC analysis can be seriously …
Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias
Introduction Neural circuit alterations lay at the core of brain physiopathology, and yet are
hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural …
hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural …