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Reduction of motion-related artifacts in resting state fMRI using aCompCor

John Muschelli, Mary Beth Nebel, Brian S. Caffo, Anita D. Barber, James J. Pekar, Stewart H. Mostofsky
2014 NeuroImage  
Recent studies have illustrated that motion-related artifacts remain in resting-state fMRI (rs-fMRI) data even after common corrective processing procedures have been applied, but the extent to which head  ...  While scrubbing further attenuates motion-related artifacts when mean signals are used, scrubbing provides no additional benefit in terms of motion artifact reduction or connectivity specificity when using  ...  This work represents the opinions of the researchers and not necessarily those of the granting organizations.  ... 
doi:10.1016/j.neuroimage.2014.03.028 pmid:24657780 pmcid:PMC4043948 fatcat:dmvfxcqsuvhelihssejvdv4gxe

Anticorrelations in resting state networks without global signal regression

Xiaoqian J. Chai, Alfonso Nieto Castañón, Dost Öngür, Susan Whitfield-Gabrieli
2012 NeuroImage  
We examined positive and negative correlations in resting-state connectivity using two different preprocessing methods: a component base noise reduction method (CompCor, Behzadi et al., 2007), in which  ...  technique to remove physiological and other noise in resting-state fMRI signal.  ...  Öngür) from the National Institute of Mental Health and by the Poitras Center for Affective Disorders Research at the McGovern Institute for Brain Research at MIT.  ... 
doi:10.1016/j.neuroimage.2011.08.048 pmid:21889994 pmcid:PMC3230748 fatcat:hj4h7b4ztvfynh7mmgh2czv4sy

Head Motion and Correction Methods in Resting-state Functional MRI

Masami GOTO, Osamu ABE, Tosiaki MIYATI, Hidenori YAMASUE, Tsutomu GOMI, Tohoru TAKEDA
2016 Magnetic Resonance in Medical Sciences  
Resting-state functional magnetic resonance imaging (RS-fMRI) is used to investigate brain functional connectivity at rest.  ...  The aim of the present study was to review head motion artifact with RS-fMRI, individual and patient population differences in head motion, and correction methods for head motion artifact with RS-fMRI.  ...  Acknowledgments This study was supported by a Grant-in-Aid for Scientific Research on Innovative Areas (Comprehensive Brain Science Network) from the Ministry of Education, Science, Sports and Culture  ... 
doi:10.2463/mrms.rev.2015-0060 pmid:26701695 pmcid:PMC5600054 fatcat:zw5roy3ywfestjoio2igdby52u

White Matter Denoising Improves the Identifiability of Large-Scale Networks and Reduces the Effects of Motion in fMRI Functional Connectivity [article]

Michalis Kassinopoulos, Georgios D Mitsis
2019 bioRxiv   pre-print
To this end, we propose a framework that summarizes the scores from eight QC metrics to a reduced set of two QC metrics that reflect the signal-to-noise ratio (SNR) and the reduction in motion artifacts  ...  Using resting-state fMRI data from the Human Connectome Project, we show that the best data quality, is achieved when the global signal (GS) and about 17% of principal components from white matter (WM)  ...  Reduction of motionrelated artifacts in resting state fMRI using aCompCor. NeuroImage, 96, 22-35. https://doi.org/10.1016/j.neuroimage.2014.03.028 Niazy, R. K., Xie, J., Miller, K., Beckmann, C.  ... 
doi:10.1101/837609 fatcat:us63nrunwjeclo6rwwgj3fejyu

Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T [article]

Abraham Beckers, Daniel Keszthelyi, Benedikt Poser
2022 bioRxiv   pre-print
In the current study, we compared the efficacy of several denoising methods, including anatomical component based correction (aCompCor), Automatic Removal of Motion Artifacts (ICA-AROMA), ME-ICA, and a  ...  In functional magnetic resonance imaging (fMRI) of the brain the signal is dominated by (physiological) noise.  ...  Disclosures: DK has received grants from Will Pharma, Allergan, Grunenthal, ZonMw, MLDS and UEG, outside of submitted work. The authors state no conflicting interests.  ... 
doi:10.1101/2022.07.03.498599 fatcat:qtqi7aebmjdilfcdu37ta5ftxm

A component based noise correction method (CompCor) for BOLD and perfusion based fMRI

Yashar Behzadi, Khaled Restom, Joy Liau, Thomas T. Liu
2007 NeuroImage  
With the application of CompCor, the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced as compared to either no correction or the application  ...  A component based method (CompCor) for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusionbased functional magnetic resonance imaging (fMRI) data is presented.  ...  Acknowledgments The authors thank Peter Costandi and Joanna Perthen for their valued assistance with the preparation of this paper.  ... 
doi:10.1016/j.neuroimage.2007.04.042 pmid:17560126 pmcid:PMC2214855 fatcat:ncm77d75jfdo5jqcoz6jp7vbju

Selective Development of Anticorrelated Networks in the Intrinsic Functional Organization of the Human Brain

Xiaoqian J. Chai, Noa Ofen, John D. E. Gabrieli, Susan Whitfield-Gabrieli
2014 Journal of Cognitive Neuroscience  
We examined the normal development of intrinsic functional connectivity of the default network (brain regions typically deactivated for attention-demanding tasks) as measured by resting-state fMRI in children  ...  Age-related changes in positive correlations within the default network were below statistical threshold after controlling for motion.  ...  Head motion during fMRI is usually highly correlated with age (Satterthwaite et al., 2012) , and both head motion and artifacts in functional time series may result in substantial changes in resting-state  ... 
doi:10.1162/jocn_a_00517 pmid:24188367 pmcid:PMC4175987 fatcat:qzilzqhcn5hlfbffjc3awjt6y4

Improving sensitivity, specificity, and reproducibility of individual brainstem activation

Eva Matt, Florian Ph. S. Fischmeister, Ahmad Amini, Simon D. Robinson, Alexandra Weber, Thomas Foki, Elke R. Gizewski, Roland Beisteiner
2019 Brain Structure and Function  
Activation measures in the trigeminal nucleus and a control region were assessed using different physiological noise correction methods (aCompCor and RETROICOR-based approaches with variable numbers of  ...  Brainstem motor nuclei activation can be reliably identified using high-field fMRI with optimized acquisition and processing strategies-even on single-subject level.  ...  Beissner et al. (2014) demonstrated that applying a brainstem mask before conducting ICA with resting-state data resulted in noticeably better detection of brainstem nuclei activation and reduced artifacts  ... 
doi:10.1007/s00429-019-01936-3 pmid:31435738 pmcid:PMC6778541 fatcat:ssxmixa5fbh6hml3fdvubclwbe

Resting-state anticorrelations between medial and lateral prefrontal cortex: Association with working memory, aging, and individual differences

Joseph B. Keller, Trey Hedden, Todd W. Thompson, Sheeba A. Anteraper, John D.E. Gabrieli, Susan Whitfield-Gabrieli
2015 Cortex  
We examined how variation in working memory (WM) capacity due to aging or individual differences among young adults is associated with intrinsic or resting-state anticorrelations, particularly between  ...  Relative to younger adults, older adults exhibited reductions in working memory capacity and in MPFC-DLPFC anticorrelations.  ...  Acknowledgments We thank Nina Wickens for her help in recruiting and testing participants, and the staff of the Martinos Imaging Center at the McGovern Institute at MIT for help in neuroimaging.  ... 
doi:10.1016/j.cortex.2014.12.001 pmid:25562175 pmcid:PMC4346444 fatcat:khqfrr5mjfeu7j2ljrgvimavzm

Recent progress and outstanding issues in motion correction in resting state fMRI

Jonathan D. Power, Bradley L. Schlaggar, Steven E. Petersen
2015 NeuroImage  
The purpose of this review is to communicate and synthesize recent findings related to motion artifact in resting state fMRI.  ...  Since 2011, over a dozen papers have been published specifically on motion artifact in resting state fMRI. We will attempt to distill these papers to their most essential content.  ...  Highlights Reviews post-2011 research on motion artifact in resting state fMRI Explains analyses to detect and quantify motion artifact Presents evidence for removal of artifact by various processing strategies  ... 
doi:10.1016/j.neuroimage.2014.10.044 pmid:25462692 pmcid:PMC4262543 fatcat:xxnj3ew5hvf4dnzlciymb7n7d4

Less is more: balancing noise reduction and data retention in fMRI with projection scrubbing [article]

Damon Pham, Daniel McDonald, Lei Ding, Mary Beth Nebel, Amanda Mejia
2022 arXiv   pre-print
Scrubbing is a technique for excluding fMRI volumes thought to be contaminated by artifacts and generally comes in two flavors.  ...  Functional MRI (fMRI) data may be contaminated by artifacts arising from a myriad of sources, including subject head motion, respiration, heartbeat, scanner drift, and thermal noise.  ...  These findings pave the way for improved prepossessing routines in resting-state fMRI analyses.  ... 
arXiv:2108.00319v2 fatcat:os6xetjzzrdurceq7vuio2rh3a

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  ...  First, we discuss the principal advantages of using PACE in combination with retrospective motion correction strategies for controlling head motion artifacts in resting state fMRI data.  ... 
doi:10.1002/brb3.1341 pmid:31297966 pmcid:PMC6710196 fatcat:mdjhs3n2svdw7kjknnenojocym

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity [article]

Rastko Ciric, Daniel H. Wolf, Jonathan D. Power, David R. Roalf, Graham Baum, Kosha Ruparel, Russell T. Shinohara, Mark A. Elliott, Simon B. Eickhoff, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett (+1 others)
2016 arXiv   pre-print
In contrast, censoring methods mitigate both motion artifact and distance-dependence, but use additional degrees of freedom.  ...  Here, we provide a systematic evaluation of 12 commonly used confound regression methods in 193 young adults.  ...  Data deposition: The data reported in this paper have been deposited in database of Genotypes and Phenotypes (dbGaP), www.ncbi.nlm.nih.gov/gap (accession no. phs000607.v1.p1).  ... 
arXiv:1608.03616v1 fatcat:6zcrewvqdngbva7ossmwqloche

Electroencephalographic and Neuroimaging Asymmetry Correlation in Patients with Attention-Deficit Hyperactivity Disorder

M. Longarzo, C. Cavaliere, V. Alfano, G. Mele, M. Salvatore, M. Aiello
2020 Neural Plasticity  
The asymmetry index significantly correlated across subjects between fMRI and power-EEG in the inattention group in frontal and temporal areas for theta and alpha bands, an anticorrelation in the same  ...  Alpha and theta bands were altered in the inattention group of patients, reflecting widespread deficiency of basic attentional processing.  ...  Conflicts of Interest The authors declare that they had no financial or nonfinancial conflict of interest.  ... 
doi:10.1155/2020/4838291 pmid:32952547 pmcid:PMC7481992 fatcat:eklbr7c2lvcijh6ojescyymn54

Using concurrent EEG and fMRI to probe the state of the brain in schizophrenia

Judith M. Ford, Brian J. Roach, Vanessa A. Palzes, Daniel H. Mathalon
2016 NeuroImage: Clinical  
The authors have declared that there are no conflicts of interest in relation to the subject of this study.  ...  Acknowledgements and disclosures This work was supported by grants from National Institute of Mental Health (MH58262 to JMF) and the VA (I01 CX000497 to JMF). DHM consults for Boehringer Ingelheim.  ...  during resting and predictable states.  ... 
doi:10.1016/j.nicl.2016.08.009 pmid:27622140 pmcid:PMC5008052 fatcat:ns5vdumubnan7m2hw52ne3v7l4
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