Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
We proposed ICA-AROMA as a strategy for the removal of motion-related artifacts from fMRI data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes data-driven derived components that represent motion-related artifacts. Here we present an extensive evaluation of ICA-AROM...
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Published in | NeuroImage (Orlando, Fla.) Vol. 112; pp. 278 - 287 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Limited
15.05.2015
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Subjects | |
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Abstract | We proposed ICA-AROMA as a strategy for the removal of motion-related artifacts from fMRI data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes data-driven derived components that represent motion-related artifacts. Here we present an extensive evaluation of ICA-AROMA by comparing our strategy to a range of alternative strategies for motion-related artifact removal: (i) no secondary motion correction, (ii) extensive nuisance regression utilizing 6 or (iii) 24 realignment parameters, (iv) spike regression (Satterthwaite et al., 2013a), (v) motion scrubbing (Power et al., 2012), (vi) aCompCor (Behzadi et al., 2007; Muschelli et al., 2014), (vii) SOCK (Bhaganagarapu et al., 2013), and (viii) ICA-FIX (Griffanti et al., 2014; Salimi-Khorshidi et al., 2014), without re-training the classifier. Using three different functional connectivity analysis approaches and four different multi-subject resting-state fMRI datasets, we assessed all strategies regarding their potential to remove motion artifacts, ability to preserve signal of interest, and induced loss in temporal degrees of freedom (tDoF). Results demonstrated that ICA-AROMA, spike regression, scrubbing, and ICA-FIX similarly minimized the impact of motion on functional connectivity metrics. However, both ICA-AROMA and ICA-FIX resulted in significantly improved resting-state network reproducibility and decreased loss in tDoF compared to spike regression and scrubbing. In comparison to ICA-FIX, ICA-AROMA yielded improved preservation of signal of interest across all datasets. These results demonstrate that ICA-AROMA is an effective strategy for removing motion-related artifacts from rfMRI data. Our robust and generalizable strategy avoids the need for censoring fMRI data and reduces motion-induced signal variations in fMRI data, while preserving signal of interest and increasing the reproducibility of functional connectivity metrics. In addition, ICA-AROMA preserves the temporal non-artifactual time-series characteristics and limits the loss in tDoF, thereby increasing statistical power at both the subject- and the between-subject analysis level. |
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AbstractList | We proposed ICA-AROMA as a strategy for the removal of motion-related artifacts from fMRI data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes data-driven derived components that represent motion-related artifacts. Here we present an extensive evaluation of ICA-AROMA by comparing our strategy to a range of alternative strategies for motion-related artifact removal: (i) no secondary motion correction, (ii) extensive nuisance regression utilizing 6 or (iii) 24 realignment parameters, (iv) spike regression (Satterthwaite et al., 2013a), (v) motion scrubbing (Power et al., 2012), (vi) aCompCor (Behzadi et al., 2007; Muschelli et al., 2014), (vii) SOCK (Bhaganagarapu et al., 2013), and (viii) ICA-FIX (Griffanti et al., 2014; Salimi-Khorshidi et al., 2014), without re-training the classifier. Using three different functional connectivity analysis approaches and four different multi-subject resting-state fMRI datasets, we assessed all strategies regarding their potential to remove motion artifacts, ability to preserve signal of interest, and induced loss in temporal degrees of freedom (tDoF). Results demonstrated that ICA-AROMA, spike regression, scrubbing, and ICA-FIX similarly minimized the impact of motion on functional connectivity metrics. However, both ICA-AROMA and ICA-FIX resulted in significantly improved resting-state network reproducibility and decreased loss in tDoF compared to spike regression and scrubbing. In comparison to ICA-FIX, ICA-AROMA yielded improved preservation of signal of interest across all datasets. These results demonstrate that ICA-AROMA is an effective strategy for removing motion-related artifacts from rfMRI data. Our robust and generalizable strategy avoids the need for censoring fMRI data and reduces motion-induced signal variations in fMRI data, while preserving signal of interest and increasing the reproducibility of functional connectivity metrics. In addition, ICA-AROMA preserves the temporal non-artifactual time-series characteristics and limits the loss in tDoF, thereby increasing statistical power at both the subject- and the between-subject analysis level. |
Author | Buitelaar, Jan K Mennes, Maarten Beckmann, Christian F Pruim, Raimon H R |
Author_xml | – sequence: 1 givenname: Raimon H R surname: Pruim fullname: Pruim, Raimon H R email: r.pruim@fcdonders.ru.nl organization: Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Nijmegen, The Netherlands; Radboud University, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands. Electronic address: r.pruim@fcdonders.ru.nl – sequence: 2 givenname: Maarten surname: Mennes fullname: Mennes, Maarten organization: Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Nijmegen, The Netherlands; Radboud University, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands – sequence: 3 givenname: Jan K surname: Buitelaar fullname: Buitelaar, Jan K organization: Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Nijmegen, The Netherlands; Radboud University, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands – sequence: 4 givenname: Christian F surname: Beckmann fullname: Beckmann, Christian F organization: Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Nijmegen, The Netherlands; Radboud University, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands; Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, Oxford, UK |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25770990$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1073/pnas.0811879106 10.1371/journal.pone.0095493 10.1016/j.neuroimage.2014.08.010 10.1073/pnas.1317424111 10.1002/hbm.20022 10.1002/mrm.1910350312 10.3389/fnins.2013.00072 10.1073/pnas.0705843104 10.1371/journal.pcbi.1000381 10.1016/j.neuroimage.2013.11.046 10.3389/fnhum.2013.00343 10.1155/2013/935154 10.1073/pnas.0601417103 10.1016/j.neuroimage.2014.03.012 10.1016/j.neuroimage.2008.10.055 10.1016/j.mri.2007.03.009 10.1016/j.neuroimage.2013.03.004 10.1073/pnas.0905267106 10.1016/j.neuroimage.2009.10.080 10.1016/j.neuroimage.2014.06.038 10.1073/pnas.0800376105 10.1016/j.neuroimage.2013.02.066 10.1098/rstb.2005.1634 10.1016/j.neuroimage.2011.09.015 10.1016/j.neuroimage.2007.04.042 10.1371/journal.pone.0104947 10.1016/j.neuroimage.2012.08.052 10.1126/science.1194144 10.1016/j.neuroimage.2014.03.028 10.1006/nimg.2002.1132 10.1371/journal.pone.0104989 10.1016/j.neuroimage.2004.07.051 10.1016/B978-0-444-53839-0.00017-X 10.1093/cercor/bhn256 10.1016/j.neuroimage.2013.08.048 10.3389/fnhum.2013.00214 10.1007/s00787-014-0573-4 10.1016/j.neubiorev.2014.05.009 10.1016/j.neuroimage.2011.12.028 10.1371/journal.pone.0093375 10.1016/S1053-8119(09)71511-3 10.1016/j.conb.2005.03.001 10.1073/pnas.0911855107 10.1016/j.mri.2006.09.042 10.1152/jn.00783.2009 10.1016/j.neuroimage.2009.06.060 10.1016/j.neuroimage.2013.06.045 10.1016/j.neuroimage.2004.12.027 10.1016/j.neuroimage.2011.12.063 10.1016/j.neuroimage.2011.10.018 10.1006/nimg.2002.1200 10.1016/j.neuroimage.2013.07.058 10.1016/j.neuroimage.2007.10.013 10.1016/j.neuroimage.2011.07.044 10.1016/j.neuron.2010.08.017 10.1016/j.neuroimage.2014.06.065 10.1016/j.neuroimage.2014.03.034 10.1016/j.neuroimage.2006.08.041 10.1016/S1361-8415(01)00036-6 |
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References | Dosenbach (10.1016/j.neuroimage.2015.02.063_bb0060) 2010; 329 Jenkinson (10.1016/j.neuroimage.2015.02.063_bb0100) 2002; 17 Storti (10.1016/j.neuroimage.2015.02.063_bb0255) 2013; 7 Damoiseaux (10.1016/j.neuroimage.2015.02.063_bb0050) 2006; 103 Power (10.1016/j.neuroimage.2015.02.063_bb0175) 2012; 59 Filippini (10.1016/j.neuroimage.2015.02.063_bb0080) 2009; 106 Jenkinson (10.1016/j.neuroimage.2015.02.063_bb0110) 2001; 5 Fair (10.1016/j.neuroimage.2015.02.063_bb0075) 2007; 104 Woolrich (10.1016/j.neuroimage.2015.02.063_bb0295) 2009; 45 von Rhein (10.1016/j.neuroimage.2015.02.063_bb0200) 2015; 24 Power (10.1016/j.neuroimage.2015.02.063_bb0185) 2014; 84 Fair (10.1016/j.neuroimage.2015.02.063_bb0070) 2009; 5 Beall (10.1016/j.neuroimage.2015.02.063_bb0010) 2014; 101 Bhaganagarapu (10.1016/j.neuroimage.2015.02.063_bb0030) 2013; 7 Wisner (10.1016/j.neuroimage.2015.02.063_bb0290) 2013; 76 Kong (10.1016/j.neuroimage.2015.02.063_bb0135) 2014; 9 Smith (10.1016/j.neuroimage.2015.02.063_bb0240) 2004; 23 Jo (10.1016/j.neuroimage.2015.02.063_bb0115) 2013; 2013 Lemieux (10.1016/j.neuroimage.2015.02.063_bb0145) 2007; 25 Jenkinson (10.1016/j.neuroimage.2015.02.063_bb0105) 2012; 62 Zeng (10.1016/j.neuroimage.2015.02.063_bb0305) 2014; 111 The ADHD-200 Consortium (10.1016/j.neuroimage.2015.02.063_bb0260) 2012; 6 Salimi-Khorshidi (10.1016/j.neuroimage.2015.02.063_bb0210) 2014; 90 Tohka (10.1016/j.neuroimage.2015.02.063_bb0270) 2008; 39 Kochiyama (10.1016/j.neuroimage.2015.02.063_bb0130) 2005; 25 Courchesne (10.1016/j.neuroimage.2015.02.063_bb0040) 2005; 15 Van Dijk (10.1016/j.neuroimage.2015.02.063_bb0280) 2010; 103 Zuo (10.1016/j.neuroimage.2015.02.063_bb0315) 2014; 45 Kelly (10.1016/j.neuroimage.2015.02.063_bb0125) 2009; 19 Liao (10.1016/j.neuroimage.2015.02.063_bb0150) 2013; 83 Zuo (10.1016/j.neuroimage.2015.02.063_bb0310) 2010; 49 Satterthwaite (10.1016/j.neuroimage.2015.02.063_bb0215) 2013; 64 Yan (10.1016/j.neuroimage.2015.02.063_bb0300) 2013; 76 Andersson (10.1016/j.neuroimage.2015.02.063_bb0005) 2007 Friston (10.1016/j.neuroimage.2015.02.063_bb0085) 1996; 35 Griffanti (10.1016/j.neuroimage.2015.02.063_bb0095) 2014; 95 De Martino (10.1016/j.neuroimage.2015.02.063_bb0055) 2007; 34 Behzadi (10.1016/j.neuroimage.2015.02.063_bb0025) 2007; 37 Kalcher (10.1016/j.neuroimage.2015.02.063_bb0120) 2014; 9 Van De Ven (10.1016/j.neuroimage.2015.02.063_bb0275) 2004; 22 Kundu (10.1016/j.neuroimage.2015.02.063_bb0140) 2012; 60 Muschelli (10.1016/j.neuroimage.2015.02.063_bb0155) 2014; 96 Sochat (10.1016/j.neuroimage.2015.02.063_bb0245) 2014; 9 Thomas (10.1016/j.neuroimage.2015.02.063_bb0265) 2002; 17 Niazy (10.1016/j.neuroimage.2015.02.063_bb0160) 2011; 193 Spisák (10.1016/j.neuroimage.2015.02.063_bb0250) 2014; 9 Smith (10.1016/j.neuroimage.2015.02.063_bb0235) 2009; 106 Fair (10.1016/j.neuroimage.2015.02.063_bb0065) 2008; 105 Power (10.1016/j.neuroimage.2015.02.063_bb0180) 2010; 67 Pruim (10.1016/j.neuroimage.2015.02.063_bb0190) 2015 Perlbarg (10.1016/j.neuroimage.2015.02.063_bb0170) 2007; 25 Greve (10.1016/j.neuroimage.2015.02.063_bb0090) 2009; 48 Van Dijk (10.1016/j.neuroimage.2015.02.063_bb0285) 2012; 59 Beckmann (10.1016/j.neuroimage.2015.02.063_bb0015) 2009; 47 Couvy-Duchesne (10.1016/j.neuroimage.2015.02.063_bb0045) 2014; 102 Patel (10.1016/j.neuroimage.2015.02.063_bb0165) 2014; 95 Satterthwaite (10.1016/j.neuroimage.2015.02.063_bb0220) 2012; 60 Shehzad (10.1016/j.neuroimage.2015.02.063_bb0230) 2009; 19 Beckmann (10.1016/j.neuroimage.2015.02.063_bb0020) 2005; 360 Pujol (10.1016/j.neuroimage.2015.02.063_bb0195) 2014; 101 Satterthwaite (10.1016/j.neuroimage.2015.02.063_bb0225) 2013; 83 Biswal (10.1016/j.neuroimage.2015.02.063_bb0035) 2010; 107 Rummel (10.1016/j.neuroimage.2015.02.063_bb0205) 2013; 7 |
References_xml | – volume: 106 start-page: 7209 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0080 article-title: Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0811879106 contributor: fullname: Filippini – volume: 9 start-page: e95493 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0245 article-title: A robust classifier to distinguish noise from fMRI independent components publication-title: PLoS One doi: 10.1371/journal.pone.0095493 contributor: fullname: Sochat – volume: 102 start-page: 424 issue: Pt 2 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0045 article-title: Heritability of head motion during resting state functional MRI in 462 healthy twins publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.08.010 contributor: fullname: Couvy-Duchesne – year: 2015 ident: 10.1016/j.neuroimage.2015.02.063_bb0190 article-title: ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data publication-title: NeuroImage. contributor: fullname: Pruim – volume: 111 start-page: 6058 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0305 article-title: Neurobiological basis of head motion in brain imaging publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.1317424111 contributor: fullname: Zeng – volume: 22 start-page: 165 year: 2004 ident: 10.1016/j.neuroimage.2015.02.063_bb0275 article-title: Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20022 contributor: fullname: Van De Ven – volume: 35 start-page: 346 year: 1996 ident: 10.1016/j.neuroimage.2015.02.063_bb0085 article-title: Movement-related effects in fMRI time-series publication-title: Magn. Reson. Med. doi: 10.1002/mrm.1910350312 contributor: fullname: Friston – volume: 7 start-page: 72 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0255 article-title: Automatic selection of resting-state networks with functional magnetic resonance imaging publication-title: Front. Neurosci. doi: 10.3389/fnins.2013.00072 contributor: fullname: Storti – volume: 104 start-page: 13507 year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0075 article-title: Development of distinct control networks through segregation and integration publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0705843104 contributor: fullname: Fair – volume: 5 start-page: e1000381 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0070 article-title: Functional brain networks develop from a “local to distributed” organization publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1000381 contributor: fullname: Fair – volume: 90 start-page: 449 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0210 article-title: Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.11.046 contributor: fullname: Salimi-Khorshidi – volume: 7 start-page: 343 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0030 article-title: An automated method for identifying artifact in independent component analysis of resting-state FMRI publication-title: Front. Hum. Neurosci. doi: 10.3389/fnhum.2013.00343 contributor: fullname: Bhaganagarapu – year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0005 article-title: Non-linear registration, aka spatial normalisation contributor: fullname: Andersson – volume: 2013 start-page: 1 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0115 article-title: Effective preprocessing procedures virtually eliminate distance-dependent motion artifacts in resting state FMRI publication-title: J. Appl. Math. doi: 10.1155/2013/935154 contributor: fullname: Jo – volume: 103 start-page: 13848 year: 2006 ident: 10.1016/j.neuroimage.2015.02.063_bb0050 article-title: Consistent resting-state networks across healthy subjects publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0601417103 contributor: fullname: Damoiseaux – volume: 95 start-page: 287 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0165 article-title: A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.03.012 contributor: fullname: Patel – volume: 45 start-page: S173 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0295 article-title: Bayesian analysis of neuroimaging data in FSL publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.10.055 contributor: fullname: Woolrich – volume: 25 start-page: 894 year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0145 article-title: Modelling large motion events in fMRI studies of patients with epilepsy publication-title: Magn. Reson. Imaging doi: 10.1016/j.mri.2007.03.009 contributor: fullname: Lemieux – volume: 6 start-page: 62 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0260 article-title: The ADHD-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience publication-title: Front. Syst. Neurosci. contributor: fullname: The ADHD-200 Consortium – volume: 76 start-page: 183 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0300 article-title: A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.03.004 contributor: fullname: Yan – volume: 106 start-page: 13040 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0235 article-title: Correspondence of the brain's functional architecture during activation and rest publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0905267106 contributor: fullname: Smith – volume: 49 start-page: 2163 year: 2010 ident: 10.1016/j.neuroimage.2015.02.063_bb0310 article-title: Reliable intrinsic connectivity networks: test–retest evaluation using ICA and dual regression approach publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.10.080 contributor: fullname: Zuo – volume: 101 start-page: 21 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0010 article-title: SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.06.038 contributor: fullname: Beall – volume: 105 start-page: 4028 year: 2008 ident: 10.1016/j.neuroimage.2015.02.063_bb0065 article-title: The maturing architecture of the brain's default network publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0800376105 contributor: fullname: Fair – volume: 76 start-page: 236 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0290 article-title: Neurometrics of intrinsic connectivity networks at rest using fMRI: retest reliability and cross-validation using a meta-level method publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.02.066 contributor: fullname: Wisner – volume: 360 start-page: 1001 year: 2005 ident: 10.1016/j.neuroimage.2015.02.063_bb0020 article-title: Investigations into resting-state connectivity using independent component analysis publication-title: Philos Trans R Soc Lond B Biol Sci doi: 10.1098/rstb.2005.1634 contributor: fullname: Beckmann – volume: 62 start-page: 782 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0105 article-title: FSL publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.09.015 contributor: fullname: Jenkinson – volume: 37 start-page: 90 year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0025 article-title: A component based noise correction method (CompCor) for BOLD and perfusion based fMRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.04.042 contributor: fullname: Behzadi – volume: 9 start-page: e104947 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0250 article-title: Voxel-wise motion artifacts in population-level whole-brain connectivity analysis of resting-state fMRI publication-title: PLoS One doi: 10.1371/journal.pone.0104947 contributor: fullname: Spisák – volume: 64 start-page: 240 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0215 article-title: An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.08.052 contributor: fullname: Satterthwaite – volume: 329 start-page: 1358 year: 2010 ident: 10.1016/j.neuroimage.2015.02.063_bb0060 article-title: Prediction of individual brain maturity using fMRI publication-title: Science (New York, N.Y.) doi: 10.1126/science.1194144 contributor: fullname: Dosenbach – volume: 96 start-page: 22 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0155 article-title: Reduction of motion-related artifacts in resting state fMRI using aCompCor publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.03.028 contributor: fullname: Muschelli – volume: 17 start-page: 825 year: 2002 ident: 10.1016/j.neuroimage.2015.02.063_bb0100 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images publication-title: NeuroImage doi: 10.1006/nimg.2002.1132 contributor: fullname: Jenkinson – volume: 9 start-page: e104989 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0135 article-title: Individual differences in impulsivity predict head motion during magnetic resonance imaging publication-title: PLoS One doi: 10.1371/journal.pone.0104989 contributor: fullname: Kong – volume: 23 start-page: S208 issue: Suppl. 1 year: 2004 ident: 10.1016/j.neuroimage.2015.02.063_bb0240 article-title: Advances in functional and structural MR image analysis and implementation as FSL publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.07.051 contributor: fullname: Smith – volume: 193 start-page: 259 year: 2011 ident: 10.1016/j.neuroimage.2015.02.063_bb0160 article-title: Spectral characteristics of resting state networks publication-title: Prog. Brain Res. doi: 10.1016/B978-0-444-53839-0.00017-X contributor: fullname: Niazy – volume: 19 start-page: 2209 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0230 article-title: The resting brain: unconstrained yet reliable publication-title: Cereb. Cortex doi: 10.1093/cercor/bhn256 contributor: fullname: Shehzad – volume: 84 start-page: 320 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0185 article-title: Methods to detect, characterize, and remove motion artifact in resting state fMRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.08.048 contributor: fullname: Power – volume: 7 start-page: 214 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0205 article-title: Time course based artifact identification for independent components of resting-state FMRI publication-title: Front. Hum. Neurosci. doi: 10.3389/fnhum.2013.00214 contributor: fullname: Rummel – volume: 19 start-page: 640 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0125 article-title: Development of anterior cingulate functional connectivity from late childhood to early adulthood publication-title: Cereb Cortex (New York, N.Y.: 1991) contributor: fullname: Kelly – volume: 24 start-page: 265 year: 2015 ident: 10.1016/j.neuroimage.2015.02.063_bb0200 article-title: The NeuroIMAGE study: a prospective phenotypic, cognitive, genetic and MRI study in children with attention-deficit/hyperactivity disorder. Design and descriptives publication-title: Eur. Child Adolesc. Psychiatry doi: 10.1007/s00787-014-0573-4 contributor: fullname: von Rhein – volume: 45 start-page: 100 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0315 article-title: Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2014.05.009 contributor: fullname: Zuo – volume: 60 start-page: 1759 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0140 article-title: Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.12.028 contributor: fullname: Kundu – volume: 9 start-page: e93375 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0120 article-title: The spectral diversity of resting-state fluctuations in the human brain publication-title: PLoS One doi: 10.1371/journal.pone.0093375 contributor: fullname: Kalcher – volume: 47 start-page: S148 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0015 article-title: Group comparison of resting-state FMRI data using multi-subject ICA and dual regression publication-title: NeuroImage doi: 10.1016/S1053-8119(09)71511-3 contributor: fullname: Beckmann – volume: 15 start-page: 225 year: 2005 ident: 10.1016/j.neuroimage.2015.02.063_bb0040 article-title: Why the frontal cortex in autism might be talking only to itself: local over-connectivity but long-distance disconnection publication-title: Curr. Opin. Neurobiol. doi: 10.1016/j.conb.2005.03.001 contributor: fullname: Courchesne – volume: 107 start-page: 4734 year: 2010 ident: 10.1016/j.neuroimage.2015.02.063_bb0035 article-title: Toward discovery science of human brain function publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0911855107 contributor: fullname: Biswal – volume: 25 start-page: 35 year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0170 article-title: CORSICA: correction of structured noise in fMRI by automatic identification of ICA components publication-title: Magn. Reson. Imaging doi: 10.1016/j.mri.2006.09.042 contributor: fullname: Perlbarg – volume: 103 start-page: 297 year: 2010 ident: 10.1016/j.neuroimage.2015.02.063_bb0280 article-title: Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization publication-title: J. Neurophysiol. doi: 10.1152/jn.00783.2009 contributor: fullname: Van Dijk – volume: 48 start-page: 63 year: 2009 ident: 10.1016/j.neuroimage.2015.02.063_bb0090 article-title: Accurate and robust brain image alignment using boundary-based registration publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.06.060 contributor: fullname: Greve – volume: 83 start-page: 45 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0225 article-title: Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.06.045 contributor: fullname: Satterthwaite – volume: 25 start-page: 802 year: 2005 ident: 10.1016/j.neuroimage.2015.02.063_bb0130 article-title: Removing the effects of task-related motion using independent-component analysis publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.12.027 contributor: fullname: Kochiyama – volume: 60 start-page: 623 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0220 article-title: Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.12.063 contributor: fullname: Satterthwaite – volume: 59 start-page: 2142 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0175 article-title: Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.10.018 contributor: fullname: Power – volume: 17 start-page: 1521 year: 2002 ident: 10.1016/j.neuroimage.2015.02.063_bb0265 article-title: Noise reduction in BOLD-based fMRI using component analysis publication-title: NeuroImage doi: 10.1006/nimg.2002.1200 contributor: fullname: Thomas – volume: 83 start-page: 969 year: 2013 ident: 10.1016/j.neuroimage.2015.02.063_bb0150 article-title: Functional brain hubs and their test–retest reliability: a multiband resting-state functional MRI study publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.07.058 contributor: fullname: Liao – volume: 39 start-page: 1227 year: 2008 ident: 10.1016/j.neuroimage.2015.02.063_bb0270 article-title: Automatic independent component labeling for artifact removal in fMRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.10.013 contributor: fullname: Tohka – volume: 59 start-page: 431 year: 2012 ident: 10.1016/j.neuroimage.2015.02.063_bb0285 article-title: The influence of head motion on intrinsic functional connectivity MRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.07.044 contributor: fullname: Van Dijk – volume: 67 start-page: 735 year: 2010 ident: 10.1016/j.neuroimage.2015.02.063_bb0180 article-title: The development of human functional brain networks publication-title: Neuron doi: 10.1016/j.neuron.2010.08.017 contributor: fullname: Power – volume: 101 start-page: 87 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0195 article-title: Does motion-related brain functional connectivity reflect both artifacts and genuine neural activity? publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.06.065 contributor: fullname: Pujol – volume: 95 start-page: 232 year: 2014 ident: 10.1016/j.neuroimage.2015.02.063_bb0095 article-title: ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.03.034 contributor: fullname: Griffanti – volume: 34 start-page: 177 year: 2007 ident: 10.1016/j.neuroimage.2015.02.063_bb0055 article-title: Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.08.041 contributor: fullname: De Martino – volume: 5 start-page: 143 year: 2001 ident: 10.1016/j.neuroimage.2015.02.063_bb0110 article-title: A global optimisation method for robust affine registration of brain images publication-title: Med. Image Anal. doi: 10.1016/S1361-8415(01)00036-6 contributor: fullname: Jenkinson |
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Title | Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI |
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