A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking
2017
Frontiers in Neuroscience
Preserved Fulltext
For independent components, the template correlation rejection removed components presenting the majority of epochs correlated to the template. ...
After rejecting the identified channels and running independent component analysis on the EEG datasets, the proposed method identified 4.3 ± 1.8 independent components (out of 198 ± 12) with substantive ...
effectiveness of TCR in identifying independent components carrying motion-related artifacts. ...
doi:10.3389/fnins.2017.00225
pmid:28491016
pmcid:PMC5405125
fatcat:dhhrj453lrccfdjp5yea6ijusu
Decomposing Effects of Time on Task Reveals an Anteroposterior Gradient of Perceptual Decision Regions
2013
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Using this novel approach, we identify two such independent components from BOLD activity related to a random dot motion task: one sensitive to the main effect of stimulus duration, and one to both the ...
However, differentiating decision-related processes from effects of "time on task" can be difficult. ...
Performed the experiments: BRB DTE ASK. Analyzed the data: BRB ASK. Contributed reagents/materials/analysis tools: BRB DTE ASK. Wrote the paper: ASK. Edited the manuscript: BRB ASK. ...
doi:10.1371/journal.pone.0072074
pmid:23977212
pmcid:PMC3747156
fatcat:6bisegoqxzgrfclweaniikopru
Applying Independent Component Analysis to Clinical fMRI at 7 T
2013
Frontiers in Human Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Task-related activation components could be automatically identified via these intuitive and effective features. ...
In this study, the ability of independent component analysis (ICA) to separate activation from these artifacts was assessed in a 7 T study of neurological patients performing chin and hand motor tasks. ...
This was despite the use of effective head fixation, motion correction, and the inclusion of motion parameters in the analysis model. ...
doi:10.3389/fnhum.2013.00496
pmid:24032007
pmcid:PMC3759034
fatcat:6vndqvgbhzhmviajg5swkde4fm
Independent component analysis of functional MRI: what is signal and what is noise?
2003
Current Opinion in Neurobiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Unlike methods of analysis of fMRI data that test the time course of each voxel against a hypothesized waveform, data-driven methods, such as independent component analysis and clustering, attempt to find ...
component analysis ROI regions of interest SPM statistical parametric mapping SVD singular value decomposition TR repetition time Independent component analysis of functional MRI McKeown, Hansen and Sejnowski ...
grant P20 EB 002013 to L Hansen, and both the Howard Hughes Medical Institute and a National Institutes of Health grant MH61619-03 to T Sejnowski. ...
doi:10.1016/j.conb.2003.09.012
pmid:14630228
pmcid:PMC2925426
fatcat:6qpybi2xzvexdi23ghce7tocem
Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR
2020
SoftwareX
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Independent Component Analysis-based Automatic Removal of Motion Artifacts (ICA-AROMA; Pruim et al., 2015) is a robust approach to remove brain activity related to head motion within functional magnetic ...
INFOBAR also has additional data processing options and visualization features to support all researchers interested in mitigating head motion artifact in post-processing using ICA-AROMA. ...
Funding sources The authors would like to acknowledge funding support from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, USA grants U01 AR067997 ...
doi:10.1016/j.softx.2020.100598
pmid:33447655
pmcid:PMC7806167
fatcat:4vbxputruvbnhkr5lzhhyukrbu
Task-related component analysis for functional neuroimaging and application to near-infrared spectroscopy data
2013
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Our analysis method is referred to as task-related component analysis (TRCA). ...
The proposed test of statistical significance is found to be independent of the degree of autocorrelation in data if the task duration is sufficiently longer than the temporal scale of autocorrelation, ...
Sejnowski for his comments on applications of independent component analysis to neuroimaging data. We acknowledge that Dr. ...
doi:10.1016/j.neuroimage.2012.08.044
pmid:22922468
fatcat:a7cw3gbxtbdohf2s36ge5a4jvy
Automatic independent component labeling for artifact removal in fMRI
2008
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We trained a supervised classifier to distinguish between independent components relating to a potentially task-related signal and independent components clearly relating to structured noise. ...
After the components had been classified as either signal or noise, a denoised fMR time-series was reconstructed based only on the independent components classified as potentially task-related. ...
Acknowledgments This work was supported by the Academy of Finland under the grants 204782, 108517, 104834, and 213462 (Finnish Centre of Excellence program (2006-2011)), the National Science Foundation ...
doi:10.1016/j.neuroimage.2007.10.013
pmid:18042495
pmcid:PMC2374836
fatcat:ro3naq4ar5bs7knlz7pdtgwvxa
Methods for cleaning the BOLD fMRI signal
2017
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Since motion-related and physiological noise fluctuations are two of the main noise components of the signal, techniques targeting their removal are primarily addressed, including both data-driven approaches ...
component analysis. ...
in R & D [SEV-2015-490], and the research and writing of the paper were supported by the NIMH and NINDS Intramural Research Programs (ZICMH002888) of the NIH/HHS. ...
doi:10.1016/j.neuroimage.2016.12.018
pmid:27956209
pmcid:PMC5466511
fatcat:nexqgsdfmvd73grkzcfnrkhesm
EEG Effects of Motion Sickness Induced in a Dynamic Virtual Reality Environment
2007
IEEE Engineering in Medicine and Biology Society. Conference Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The Motion Sickness Questionnaire (MSQ) was used to assess the sickness level, and the EEG effects on the subjects with high sickness levels were investigated using the independent component analysis ( ...
The fake-epoch extraction was then applied to the nausea-related independent components. ...
It consists of artifacts removal, independent component analysis, useless component rejection, fake-epoch extraction, and event-related spectral perturbation (ERSP). ...
doi:10.1109/iembs.2007.4353178
pmid:18002844
fatcat:2jdlgs3dcvckply5i5jf3h32gm
Classification of temporal ICA components for separating global noise from fMRI data: Reply to power
2019
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We respond to a critique of our temporal Independent Components Analysis (ICA) method for separating global noise from global signal in fMRI data that focuses on the signal versus noise classification ...
of several components. ...
Acknowledgements We thank Power 2019 for his perspective on our recent paper about using temporal Independent Components Analysis (ICA) to separate global, largely respiratory, artifact from fMRI data ...
doi:10.1016/j.neuroimage.2019.04.046
pmid:31026516
pmcid:PMC6591096
fatcat:kbh4wywxlbezvlnhqe5wz7yusq
Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing
2016
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Non-BOLD variability identification and removal is achieved in a biophysical and statistically principled manner by combining multi-echo fMRI acquisition and independent components analysis (ME-ICA). ...
Here we show how specific removal of non-BOLD artifacts can improve effect size estimation and statistical power in task-fMRI contexts, with particular application to the social-cognitive domain of mentalizing ...
MVL was supported by the Wellcome Trust ...
doi:10.1016/j.neuroimage.2016.07.022
pmid:27417345
pmcid:PMC5102698
fatcat:r6ttgaldxzhs7flhjo7zr2lneu
Spatial and temporal EEG dynamics of motion sickness
2010
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The acquired EEG signals were parsed by independent component analysis (ICA) into maximally independent processes. ...
This study investigates motion-sickness-related brain responses using a VR-based driving simulator on a motion platform with six degrees of freedom, which provides both visual and vestibular stimulations ...
This work was in part supported by the Aiming for the Top University Plan of National Chiao-Tung University, the Ministry of Education, Taiwan, under Contract 98W806, and in part supported by the National ...
doi:10.1016/j.neuroimage.2009.10.005
pmid:19833217
fatcat:khtkv7xfdzhdlivan5cxmzgkr4
Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals
2017
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
At the same time, the field has also dealt with uncertainty related to many known and unknown effects of artifact in fMRI data. ...
A focus is on the use of ME-fMRI data to extract and classify components from spatial ICA, called multi-echo ICA (ME-ICA). ...
Acknowledgements PK and PB are supported by the Icahn School of Medicine Capital Campaign, the Translational and Molecular Imaging Institute, Brain Imaging Center and the Department of Radiology at the ...
doi:10.1016/j.neuroimage.2017.03.033
pmid:28363836
fatcat:n6mkrdv535gqfnf6nuu2nfzaxy
ICA-based Denoising Strategies in Breath-Hold Induced Cerebrovascular Reactivity Mapping with Multi Echo BOLD fMRI
2021
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our results reveal that a conservative independent component analysis model applied on the optimally-combined multi-echo fMRI signal offers the largest reduction of motion-related effects in the signal ...
including regressors obtained from multi-echo independent component analysis with different grades of orthogonalization in order to preserve the effect of interest, i.e. the CVR. ...
Acknowledgments The authors would like to thank Vicente Ferrer for collaborating in data acquisition and two anonymous reviewers for helping improving the quality of the paper. ...
doi:10.1016/j.neuroimage.2021.117914
pmid:33684602
fatcat:5lo2khetwvddtipzlp7ou5aon4
Mixed Signals: On Separating Brain Signal from Noise
2017
Trends in Cognitive Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Accurate description of human brain function requires the separation of true neural signal from noise. ...
Recent work examining spatial and temporal properties of whole-brain fMRI signals demonstrates how artifacts from a variety of sources can persist after rigorous processing, and highlights the lack of ...
Acknowledgments This work was supported by award R01MH107549 from the National Institute of Mental Health to LQU.
Uddin Page 3 Trends Cogn Sci. Author manuscript; available in PMC 2018 July 05. ...
doi:10.1016/j.tics.2017.04.002
pmid:28461113
pmcid:PMC6033047
fatcat:j3mooqmgcfe6jficnlotwkmdnq
« Previous
Showing results 1 — 15 out of 163,577 results