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Prospective motion correction of fMRI: Improving the quality of resting state data affected by large head motion

Danilo Maziero, Carlo Rondinoni, Theo Marins, Victor Andrew Stenger, Thomas Ernst
2020 NeuroImage  
The quality of functional MRI (fMRI) data is affected by head motion.  ...  However, the benefits of applying PMC for improving the quality of rs-fMRI acquired under large head movements and its effects on resting state networks (RSN) and connectivity matrices are still unknown  ...  ) are alternatives to retrospectively improve the quality of fMRI data affected by motion.  ... 
doi:10.1016/j.neuroimage.2020.116594 pmid:32044436 pmcid:PMC7238750 fatcat:ylssllmi2zhglpyvogej3ssqie

Prospective motion correction of 3D echo-planar imaging data for functional MRI using optical tracking

Nick Todd, Oliver Josephs, Martina F. Callaghan, Antoine Lutti, Nikolaus Weiskopf
2015 NeuroImage  
We evaluated the performance of an optical camera based prospective motion correction (PMC) system in improving the quality of 3D echo-planar imaging functional MRI data.  ...  /fast head movement relative to the standard acquisition with no prospective correction.  ...  Acknowledgments The research leading to these results has received support and funding from the Wellcome Trust (091593/Z10/Z), SLMS Capital Equipment Fund (UCL), and the European Research Council under  ... 
doi:10.1016/j.neuroimage.2015.03.013 pmid:25783205 pmcid:PMC4441089 fatcat:6le2d6vf4rawbhyuh7kjl2rz5y

Resting State fMRI: Going Through the Motions

Sanam Maknojia, Nathan W. Churchill, Tom A. Schweizer, S. J. Graham
2019 Frontiers in Neuroscience  
Despite this, rs-fMRI signals are easily contaminated by artifacts arising from movement of the head during data collection.  ...  Improvements come from applying multiple motion correction algorithms retrospectively after rs-fMRI data are collected, although residual artifacts can still remain in cases of elevated motion, which are  ...  Given these reports and the need to generate data with improved quality in the long term, this focused review discusses how head motion affects rs-fMRI data, and summarizes the existing and emerging strategies  ... 
doi:10.3389/fnins.2019.00825 pmid:31456656 pmcid:PMC6700228 fatcat:yve3qt2fbngmthm4wsrbj34cni

EEG-assisted retrospective motion correction for fMRI: E-REMCOR

Vadim Zotev, Han Yuan, Raquel Phillips, Jerzy Bodurka
2012 NeuroImage  
Performance of the method is demonstrated by correction of fMRI data from five patients with major depressive disorder, who exhibited head movements by 1-3 mm during a resting EEG-fMRI run.  ...  The proposed EEG-assisted method of retrospective fMRI motion correction (referred to as E-REMCOR) can be used to improve quality of fMRI data with severe motion artifacts and to reduce spurious correlations  ...  Acknowledgments This work was supported by the Laureate Institute for Brain Research and the William K. Warren Foundation. We would like to thank Dr. Robert Störmer, Dr. Patrick Britz, and Dr.  ... 
doi:10.1016/j.neuroimage.2012.07.031 pmid:22836172 fatcat:az2tq7uq3vhhnh5srfv6zrngce

Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI data

Pradyumna Lanka, Gopikrishna Deshpande
2019 Brain and Behavior  
We examined the effectiveness of Prospective Acquisition CorrEction (PACE) in reducing motion artifacts in BOLD data.  ...  Head movement in the scanner causes spurious signal changes in the blood-oxygen-level-dependent (BOLD) signal, confounding resting state functional connectivity (RSFC) estimates obtained from functional  ...  , prospective motion correction, resting state fMRI still amounts to loss of original data.  ... 
doi:10.1002/brb3.1341 pmid:31297966 pmcid:PMC6710196 fatcat:mdjhs3n2svdw7kjknnenojocym

Methods for cleaning the BOLD fMRI signal

César Caballero-Gaudes, Richard C. Reynolds
2017 NeuroImage  
Through the review, we summarize the importance of signal denoising as an essential step in the analysis pipeline of task-based and resting state fMRI studies.  ...  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  ...  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

Prospective active marker motion correction improves statistical power in BOLD fMRI

Jordan Muraskin, Melvyn B. Ooi, Robin I. Goldman, Sascha Krueger, William J. Thomas, Paul Sajda, Truman R. Brown
2013 NeuroImage  
Using PRAMMO could thus improve the overall statistical power of fMRI based BOLD measurements, leading to stronger inferences of the nature of processing in the human brain.  ...  In this paper, we use a prospective active marker motion correction (PRAMMO) system that uses radio frequency markers for real-time tracking of motion, enabling on-line slice plane correction.  ...  We would also like to thank the two anonymous reviewers who have greatly contributed to making this manuscript significantly better.  ... 
doi:10.1016/j.neuroimage.2012.11.052 pmid:23220430 pmcid:PMC3638742 fatcat:lcoq5n2y7fawpgc3yqhydn76oy

Quantifying Head Motion Associated with Motor Tasks Used in fMRI

E. Seto, G. Sela, W.E. McIlroy, S.E. Black, W.R. Staines, M.J. Bronskill, A.R. McIntosh, S.J. Graham
2001 NeuroImage  
is important for designing methods to improve the quality of fMRI data.  ...  The reduction in head motion during the second run exemplifies the usefulness of a training session as one of a combination of strategies to improve the quality of fMRI data.  ... 
doi:10.1006/nimg.2001.0829 pmid:11467903 fatcat:isbtukfh4jb3tkt43dm32x7fce

fMRI: preprocessing, classification and pattern recognition [article]

Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
2018 arXiv   pre-print
Identification of informative neuroimaging markers requires establishing a comprehensive preparation pipeline for data which may be severely corrupted by artifactual signal fluctuations.  ...  In this work, we review a large body of literature to provide ample evidence for the advantages of pattern recognition approaches in clinical applications, overview advanced graph-based pattern recognition  ...  Acknowledgments This study was performed in the scope of the Project "Machine Learning and Pattern Recognition for the development of diagnostic and clinical prognostic prediction tools in psychiatry,  ... 
arXiv:1804.10167v1 fatcat:sgy5bc7psrchzhm3e6uxqzwqym

Real-Time fMRI

Andrea Caria, Ranganatha Sitaram, Niels Birbaumer
2011 The Neuroscientist  
Funding The authors disclosed receipt of the following financial support for the research and/or authorship of this article: The preparation of this article was supported by the Deutsche Forschungsgemeinschaft  ...  Declaration of Conflicting Interests The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.  ...  Recently, online methods to explicitly model and remove nuisance signals in fMRI data have been shown to improve the quality of neurofeedback (Hinds and others 2011) .  ... 
doi:10.1177/1073858411407205 pmid:21652587 fatcat:d3vb7elkh5f3thoa42tyzpa4qe

Integrated fMRI Preprocessing Framework Using Extended Kalman Filter for Estimation of Slice-Wise Motion

Basile Pinsard, Arnaud Boutin, Julien Doyon, Habib Benali
2018 Frontiers in Neuroscience  
The registration of single or multiple simultaneously acquired slices is achieved online by an Iterated Extended Kalman Filter, favoring the robust estimation of continuous motion, while an intensity bias  ...  When tested on simulated and real data the latter shows a reduction of motion explained variance and signal variability when compared to the conventional preprocessing approach.  ...  Nevertheless, the use of signal from white-matter as regressed confounds in resting-state fMRI study have been widely used, and our highpass filtering only removes the large-scale intensity changes in  ... 
doi:10.3389/fnins.2018.00268 pmid:29755312 pmcid:PMC5932184 fatcat:z4ah2bqie5ahdpxppaqpjo5b5m

Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies

Molly G. Bright, Kevin Murphy
2017 NeuroImage  
For example, subtle head motion, although much less destructive to the data than large movement artefacts, can drive apparent differences in resting state fMRI connectivity measures (Power, Barnes, Snyder  ...  Zaitsev and colleagues investigate the application of prospective motion correction combined with dynamic distortion correction to overcome these limitations in fMRI data (Zaitsev, et al., 2017) .  ... 
doi:10.1016/j.neuroimage.2017.03.056 pmid:28365420 fatcat:m6l4i2vljfc6vct6gpqudlctbq

EEG-Informed fMRI: A Review of Data Analysis Methods

Rodolfo Abreu, Alberto Leal, Patrícia Figueiredo
2018 Frontiers in Human Neuroscience  
Because large, abrupt head movements are not accurately estimated using such affine transformations, metrics identifying fMRI volumes affected by this type of motion can be computed, so that these volumes  ...  Prospective motion correction (PMC) of the EEG signal can then be performed based on the head translation and rotation parameters estimated along the three main axes.  ...  This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).  ... 
doi:10.3389/fnhum.2018.00029 pmid:29467634 pmcid:PMC5808233 fatcat:vocpso63pjeg3ktkqwrsvf6ixe

Applying Independent Component Analysis to Clinical fMRI at 7 T

Simon Daniel Robinson, Veronika Schöpf, Pedro Cardoso, Alexander Geissler, Florian Ph. S. Fischmeister, Moritz Wurnig, Siegfried Trattnig, Roland Beisteiner
2013 Frontiers in Human Neuroscience  
The results of General Linear Model (GLM) analysis of these data were, in contrast, heavily contaminated by motion.  ...  Increased BOLD sensitivity at 7 T offers the possibility to increase the reliability of fMRI, but ultra-high field is also associated with an increase in artifacts related to head motion, Nyquist ghosting  ...  Motion-correction algorithms can improve the quality of fMRI results (Oakes et al., 2005) but cannot correct for changing distortions or spin history effects, and can also lead to false positive fMRI  ... 
doi:10.3389/fnhum.2013.00496 pmid:24032007 pmcid:PMC3759034 fatcat:6vndqvgbhzhmviajg5swkde4fm

Custom-molded headcases have limited efficacy in reducing head motion for fMRI [article]

Eshin Jolly, Sushmita Sadhukha, Luke J Chang
2020 bioRxiv   pre-print
Effectively minimizing head motion continues to be a challenge for the collection of functional magnetic resonance imaging (fMRI) data.  ...  That study found headcases to be effective in reducing motion during short resting state fMRI scans (Power et al, 2019).  ...  and guidance in 3D photography used for the purchase of headcases as well as for helpful comments on drafts of this manuscript.  ... 
doi:10.1101/2020.03.27.012310 fatcat:esf3z6p6qne47buvjrerpfeccu
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