[HTML][HTML] Advances in resting state fMRI acquisitions for functional connectomics

L Raimondo, J Heij, N Priovoulos, P Kundu, RF Leoni… - NeuroImage, 2021 - Elsevier
Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous
fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously …

Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response

JR Polimeni, LD Lewis - Progress in neurobiology, 2021 - Elsevier
Fast fMRI enables the detection of neural dynamics over timescales of hundreds of
milliseconds, suggesting it may provide a new avenue for studying subsecond neural …

[HTML][HTML] Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation

S Afyouni, SM Smith, TE Nichols - NeuroImage, 2019 - Elsevier
The dependence between pairs of time series is commonly quantified by Pearson's
correlation. However, if the time series are themselves dependent (ie exhibit temporal …

Accurate autocorrelation modeling substantially improves fMRI reliability

W Olszowy, J Aston, C Rua, GB Williams - Nature communications, 2019 - nature.com
Given the recent controversies in some neuroimaging statistical methods, we compare the
most frequently used functional Magnetic Resonance Imaging (fMRI) analysis packages …

[HTML][HTML] Which multiband factor should you choose for your resting-state fMRI study?

BB Risk, RJ Murden, J Wu, MB Nebel, A Venkataraman… - NeuroImage, 2021 - Elsevier
Multiband acquisition, also called simultaneous multislice, has become a popular technique
in resting-state functional connectivity studies. Multiband (MB) acceleration leads to a higher …

Accurate modeling of temporal correlations in rapidly sampled fMRI time series

N Corbin, N Todd, KJ Friston… - Human brain …, 2018 - Wiley Online Library
Rapid imaging techniques are increasingly used in functional MRI studies because they
allow a greater number of samples to be acquired per unit time, thereby increasing statistical …

[HTML][HTML] MP-PCA denoising of fMRI time-series data can lead to artificial activation “spreading”

FF Fernandes, JL Olesen, SN Jespersen, N Shemesh - NeuroImage, 2023 - Elsevier
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 …

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates

A Eklund, H Knutsson, TE Nichols - Human brain mapping, 2019 - Wiley Online Library
Methodological research rarely generates a broad interest, yet our work on the validity of
cluster inference methods for functional magnetic resonance imaging (fMRI) created intense …

[HTML][HTML] Model-based physiological noise removal in fast fMRI

U Agrawal, EN Brown, LD Lewis - Neuroimage, 2020 - Elsevier
Recent improvements in the speed and sensitivity of fMRI acquisition techniques suggest
that fast fMRI can be used to detect and precisely localize sub-second neural dynamics. This …

On the analysis of rapidly sampled fMRI data

JE Chen, JR Polimeni, S Bollmann, GH Glover - Neuroimage, 2019 - Elsevier
Recent advances in parallel imaging and simultaneous multi-slice techniques have
permitted whole-brain fMRI acquisitions at sub-second sampling intervals, without …