{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T22:35:46Z","timestamp":1775514946315,"version":"3.50.1"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,8,1]],"date-time":"2015-08-01T00:00:00Z","timestamp":1438387200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000009","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["NS073498"],"award-info":[{"award-number":["NS073498"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2015,8]]},"DOI":"10.1016\/j.neuroimage.2015.05.015","type":"journal-article","created":{"date-parts":[[2015,5,20]],"date-time":"2015-05-20T18:40:05Z","timestamp":1432147205000},"page":"67-79","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":215,"special_numbering":"C","title":["Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination"],"prefix":"10.1016","volume":"117","author":[{"given":"William R.","family":"Shirer","sequence":"first","affiliation":[]},{"given":"Heidi","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Collin M.","family":"Price","sequence":"additional","affiliation":[]},{"given":"Bernard","family":"Ng","sequence":"additional","affiliation":[]},{"given":"Michael D.","family":"Greicius","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2015.05.015_bb0005","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1523\/JNEUROSCI.3874-05.2006","article-title":"A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs","volume":"26","author":"Achard","year":"2006","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0010","series-title":"FMRIB technical report TR07JA2","article-title":"Non-linear registration, aka Spatial normalisation","author":"Andersson","year":"2007"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0015","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1006\/nimg.2000.0582","article-title":"Voxel-based morphometry\u2013the methods","volume":"11","author":"Ashburner","year":"2000","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0020","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1098\/rstb.2005.1634","article-title":"Investigations into resting-state connectivity using independent component analysis","volume":"360","author":"Beckmann","year":"2005","journal-title":"Philos. Trans. R. Soc. Lond. B Biol. Sci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0025","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neuroimage.2007.04.042","article-title":"A component based noise correction method (CompCor) for BOLD and perfusion based fMRI","volume":"37","author":"Behzadi","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0030","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1016\/j.neuroimage.2005.08.044","article-title":"Identification of large-scale networks in the brain using fMRI","volume":"29","author":"Bellec","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0035","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/mrm.1910340409","article-title":"Functional Connectivity in the Motor Cortex of Resting Human Brain Using Echo-Planar Mri","volume":"34","author":"Biswal","year":"1995","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0040","doi-asserted-by":"crossref","first-page":"4734","DOI":"10.1073\/pnas.0911855107","article-title":"Toward discovery science of human brain function","volume":"107","author":"Biswal","year":"2010","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0045","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1016\/j.neuroimage.2011.08.044","article-title":"Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures","volume":"59","author":"Braun","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0050","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1016\/j.neuroimage.2011.08.048","article-title":"Anticorrelations in resting state networks without global signal regression","volume":"59","author":"Chai","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0055","doi-asserted-by":"crossref","first-page":"1448","DOI":"10.1016\/j.neuroimage.2009.05.012","article-title":"Effects of model-based physiological noise correction on default mode network anti-correlations and correlations","volume":"47","author":"Chang","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0060","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1002\/mrm.22159","article-title":"Disease state prediction from resting state functional connectivity","volume":"62","author":"Craddock","year":"2009","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0065","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/s00429-009-0208-6","article-title":"Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity","volume":"213","author":"Damoiseaux","year":"2009","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0070","doi-asserted-by":"crossref","first-page":"13848","DOI":"10.1073\/pnas.0601417103","article-title":"Consistent resting-state networks across healthy subjects","volume":"103","author":"Damoiseaux","year":"2006","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0075","doi-asserted-by":"crossref","first-page":"8254","DOI":"10.1523\/JNEUROSCI.0305-12.2012","article-title":"Gender modulates the APOE epsilon4 effect in healthy older adults: convergent evidence from functional brain connectivity and spinal fluid tau levels","volume":"32","author":"Damoiseaux","year":"2012","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0080","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1016\/j.neuroimage.2012.08.022","article-title":"Filtering induces correlation in fMRI resting state data","volume":"64","author":"Davey","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0085","doi-asserted-by":"crossref","first-page":"7209","DOI":"10.1073\/pnas.0811879106","article-title":"Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele","volume":"106","author":"Filippini","year":"2009","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0090","doi-asserted-by":"crossref","first-page":"3270","DOI":"10.1152\/jn.90777.2008","article-title":"The Global Signal and Observed Anticorrelated Resting State Brain Networks","volume":"101","author":"Fox","year":"2009","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0095","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1002\/mrm.1910350312","article-title":"Movement-related effects in fMRI time-series","volume":"35","author":"Friston","year":"1996","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0100","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.neuroimage.2011.10.039","article-title":"Spiral imaging in fMRI","volume":"62","author":"Glover","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0105","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1002\/mrm.1910390305","article-title":"Self-navigated spiral fMRI: interleaved versus single-shot","volume":"39","author":"Glover","year":"1998","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0110","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1002\/mrm.1222","article-title":"Spiral-in\/out BOLD fMRI for increased SNR and reduced susceptibility artifacts","volume":"46","author":"Glover","year":"2001","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0120","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1073\/pnas.0135058100","article-title":"Functional connectivity in the resting brain: a network analysis of the default mode hypothesis","volume":"100","author":"Greicius","year":"2003","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0125","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1073\/pnas.0308627101","article-title":"Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI","volume":"101","author":"Greicius","year":"2004","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0115","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.biopsych.2006.09.020","article-title":"Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus","volume":"62","author":"Greicius","year":"2007","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0130","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.78.1_MeetingAbstracts.P03.082","article-title":"One-Year Test-Retest Reliability of Intrinsic Connectivity Network fMRI in Older Adults","volume":"78","author":"Guo","year":"2012","journal-title":"Neurology"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0135","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1002\/hbm.10022","article-title":"Detection of functional connectivity using temporal correlations in MR images","volume":"15","author":"Hampson","year":"2002","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0140","doi-asserted-by":"crossref","first-page":"12686","DOI":"10.1523\/JNEUROSCI.3189-09.2009","article-title":"Disruption of functional connectivity in clinically normal older adults harboring amyloid burden","volume":"29","author":"Hedden","year":"2009","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0145","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1073\/pnas.0811168106","article-title":"Predicting human resting-state functional connectivity from structural connectivity","volume":"106","author":"Honey","year":"2009","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0150","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"Jenkinson","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0160","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.biopsych.2013.07.010","article-title":"Functional connectivity in Alzheimer's disease: measurement and meaning","volume":"74","author":"Johnson","year":"2013","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0165","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1002\/mrm.10267","article-title":"Regularized higher-order in vivo shimming","volume":"48","author":"Kim","year":"2002","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0170","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/S1053-8119(03)00097-1","article-title":"Independent component analysis of nondeterministic fMRI signal sources","volume":"19","author":"Kiviniemi","year":"2003","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0175","doi-asserted-by":"crossref","first-page":"3865","DOI":"10.1002\/hbm.20813","article-title":"Functional segmentation of the brain cortex using high model order group PICA","volume":"30","author":"Kiviniemi","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0180","doi-asserted-by":"crossref","first-page":"11728","DOI":"10.1523\/JNEUROSCI.5730-10.2011","article-title":"Quasi-periodic fluctuations in default mode network electrophysiology","volume":"31","author":"Ko","year":"2011","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0185","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.mri.2007.03.009","article-title":"Modelling large motion events in fMRI studies of patients with epilepsy","volume":"25","author":"Lemieux","year":"2007","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0190","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1212\/WNL.34.7.939","article-title":"Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease","volume":"34","author":"McKhann","year":"1984","journal-title":"Neurology"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0195","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.neuroimage.2008.09.036","article-title":"The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?","volume":"44","author":"Murphy","year":"2009","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.neuroimage.2015.05.015_bb0200","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.mri.2006.09.042","article-title":"CORSICA: correlation of structured noise in fMRI by automatic identification of ICA components","volume":"25","author":"Perlbarg","year":"2007","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0205","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","article-title":"Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion","volume":"59","author":"Power","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0210","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.neuroimage.2012.03.017","article-title":"Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp","volume":"76","author":"Power","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0215","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.neuroimage.2013.08.048","article-title":"Methods to detect, characterize, and remove artifact in resting-state fMRI","volume":"84","author":"Power","year":"2014","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.neuroimage.2015.05.015_bb0220","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1016\/j.neuroimage.2010.05.081","article-title":"Decoding brain states from fMRI connectivity graphs","volume":"56","author":"Richiardi","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0225","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.neuroimage.2013.11.046","article-title":"Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers","volume":"90","author":"Salimi-Khorshidi","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0230","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.neuroimage.2012.08.052","article-title":"An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data","volume":"64","author":"Satterthwaite","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0240","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"Seeley","year":"2007","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0235","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neuron.2009.03.024","article-title":"Neurodegenerative diseases target large-scale human brain networks","volume":"62","author":"Seeley","year":"2009","journal-title":"Neuron"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0245","doi-asserted-by":"crossref","first-page":"2209","DOI":"10.1093\/cercor\/bhn256","article-title":"The resting brain: unconstrained yet reliable","volume":"19","author":"Shehzad","year":"2009","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0250","doi-asserted-by":"crossref","first-page":"17035","DOI":"10.1523\/JNEUROSCI.3987-10.2010","article-title":"APOE4 allele disrupts resting state fMRI connectivity in the absence of amyloid plaques or decreased CSF Abeta42","volume":"30","author":"Sheline","year":"2010","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0255","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1093\/cercor\/bhr099","article-title":"Decoding subject-driven cognitive states with whole-brain connectivity patterns","volume":"22","author":"Shirer","year":"2012","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0260","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1002\/hbm.22307","article-title":"Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high-motion data points","volume":"35","author":"Siegel","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0265","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/hbm.10062","article-title":"Fast robust automated brain extraction","volume":"17","author":"Smith","year":"2002","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0270","doi-asserted-by":"crossref","first-page":"13040","DOI":"10.1073\/pnas.0905267106","article-title":"Correspondence of the brain's functional architecture during activation and rest","volume":"106","author":"Smith","year":"2009","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0275","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1006\/nimg.2001.1034","article-title":"The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework","volume":"15","author":"Strother","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0280","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.neuroimage.2010.11.080","article-title":"Resting-state fMRI can reliably map neural networks in children","volume":"55","author":"Thomason","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0285","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1016\/j.neuroimage.2009.05.005","article-title":"Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies","volume":"47","author":"Weissenbacher","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0290","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1089\/brain.2011.0018","article-title":"Empirical evaluations of slice-timing, smoothing, and normalization effects in seed-based, resting-state functional magnetic resonance imaging analyses","volume":"1","author":"Wu","year":"2011","journal-title":"Brain Connect."},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0295","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.neuroimage.2013.03.004","article-title":"A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics","volume":"76","author":"Yan","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0300","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.neuroimage.2013.04.081","article-title":"Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes","volume":"80","author":"Yan","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0305","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1093\/brain\/awq075","article-title":"Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease","volume":"133","author":"Zhou","year":"2010","journal-title":"Brain"},{"key":"10.1016\/j.neuroimage.2015.05.015_bb0310","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1016\/j.neuroimage.2009.10.080","article-title":"Reliable intrinsic connectivity networks: Test-retest evaluation using ICA and dual regression approach","volume":"49","author":"Zuo","year":"2010","journal-title":"NeuroImage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381191500395X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381191500395X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,22]],"date-time":"2018-09-22T09:21:30Z","timestamp":1537608090000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S105381191500395X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8]]},"references-count":61,"alternative-id":["S105381191500395X"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2015.05.015","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2015,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2015.05.015","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2015 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}