GLMdenoise statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool GLMdenoise
info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Image enhancement chevron_right
Want to access the full stats & trends on this tool?

GLMdenoise specifications

Information


Unique identifier OMICS_17596
Name GLMdenoise
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Input data A design matrix and fMRI time-series.
Output data An estimate of the hemodynamic response function and BOLD response amplitudes.
Operating system Unix/Linux
Programming languages MATLAB
Computer skills Advanced
Version 1.4
Stability Stable
Maintained Yes

Download


download.png
github.png

Versioning


No version available

Maintainers


  • person_outline Kendrick Kay
  • person_outline Ian Charest

Publications for GLMdenoise

GLMdenoise citations

 (8)
library_books

A non invasive, quantitative study of broadband spectral responses in human visual cortex

2018
PLoS One
PMCID: 5846788
PMID: 29529085
DOI: 10.1371/journal.pone.0193107

[…] gh frequency signals. In order to increase the signal-to-noise ratio, we developed a denoising technique that helps reveal the broadband signal of interest. A denoising algorithm developed for fMRI (‘GLMdenoise’; []) was adapted for MEG to project out noise from the data for each epoch in each sensor. The logic behind the algorithm is that many sources of noise are global, and therefore spread acr […]

library_books

Episodic Tags Enhance Striatal Valuation Signals during Temporal Discounting in pathological Gamblers

2017
eNeuro
PMCID: 5469028
PMID: 28612049
DOI: 10.1523/ENEURO.0159-17.2017

[…] alysis. As a second parametric modulator, choice LL was entered. Parametric modulators were also convolved with the HRF. Button pressed were modeled separately. We built nuisance regressors using the GLMdenoise toolbox (). GLMdenoise extracts principal components from voxels that are unrelated to the task (i.e., voxels in which the R 2 is smaller than 0%). The signal in these components is assumed […]

call_split

Organization of high level visual cortex in human infants

2017
Nat Commun
PMCID: 5234071
PMID: 28072399
DOI: 10.1038/ncomms13995
call_split See protocol

[…] motion correction) were used to minimize effects of head motion. Last, five principal component analysis (PCA)-based noise regressors were used to account for other noise sources (a method similar to GLMDenoise). PCA-based regressors were defined by: (1) choosing a ‘noise pool' of voxels with <1% of variance explained by the task regressors; (2) running PCA on time series from these voxels; and (3 […]

library_books

Bottom up and top down computations in word and face selective cortex

2017
eLife
PMCID: 5358981
PMID: 28226243
DOI: 10.7554/eLife.22341.013

[…] The pre-processed fMRI data were analyzed using GLMdenoise () (http://kendrickkay.net/GLMdenoise/), a data-driven denoising method that derives estimates of correlated noise from the data and incorporates these estimates as nuisance regressors in a […]

library_books

Improving effect size estimation and statistical power with multi echo fMRI and its impact on understanding the neural systems supporting mentalizing

2016
Neuroimage
PMCID: 5102698
PMID: 27417345
DOI: 10.1016/j.neuroimage.2016.07.022

[…] y applied full-width-half-max (FWHM) Gaussian image smoothing, ME-ICA outperforms conventional analysis methods for task-based fMRI analysis (TSOC+MotReg) and a prominent task-based denoising method (GLMdenoise) () (B–C). This enhanced performance is evident across both mentalizing tasks and in most regions assessed. Quantifying the magnitude of effect size boosting as the difference in effect siz […]

library_books

Identifying Core Affect in Individuals from fMRI Responses to Dynamic Naturalistic Audiovisual Stimuli

2016
PLoS One
PMCID: 5012606
PMID: 27598534
DOI: 10.1371/journal.pone.0161589

[…] responsive to beep condition compared to baseline (AP) (p < .05, FWE-corrected, cluster size > 5).Main experiment: To improve signal-to-noise ratio, the time-series data for each voxel were fit using GLMdenoise [], a technique successfully used in MVPA and other applications [, ]. GLMdenoise used the four affective categories to estimate regressors of no interest. Notably the procedure was blind t […]


Want to access the full list of citations?
GLMdenoise institution(s)
School of Psychology, University of Birmingham; Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK; Department of Psychology, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, USA
GLMdenoise funding source(s)
Supported by an European Research Council (ERC) Starting Grant ERC-2017-StG 759432, by an UK Medical Research Council Grant MC-A060-5PR60 and an ERC Starting Grant ERC-2010-StG 261352, and by the McDonnell Center for Systems Neuroscience and Arts & Sciences at Washington University.

GLMdenoise reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review GLMdenoise