{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:37:24Z","timestamp":1759207044760,"version":"3.44.0"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"publisher","award":["DFG Li 2659\/2-1","Pe 2546\/1-1","Wi 1166\/16-1"],"award-info":[{"award-number":["DFG Li 2659\/2-1","Pe 2546\/1-1","Wi 1166\/16-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroscience Methods"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1016\/j.jneumeth.2018.09.021","type":"journal-article","created":{"date-parts":[[2018,9,19]],"date-time":"2018-09-19T19:36:05Z","timestamp":1537385765000},"page":"199-207","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Influence of imputation strategies on the identification of brain functional connectivity networks"],"prefix":"10.1016","volume":"309","author":[{"given":"Britta","family":"Pester","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Lehmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lutz","family":"Leistritz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Herbert","family":"Witte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carolin","family":"Ligges","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jneumeth.2018.09.021_bib0005","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.chemolab.2010.08.004","article-title":"Scalable tensor factorizations for incomplete data","volume":"106","author":"Acar","year":"2011","journal-title":"Chemom. Intell. Lab. Syst."},{"issue":"4","key":"10.1016\/j.jneumeth.2018.09.021_bib0010","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1111\/j.1741-3737.2005.00191.x","article-title":"Working with missing values","volume":"67","author":"Acock","year":"2005","journal-title":"J. Marriage Fam."},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0015","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1109\/TBME.2007.905419","article-title":"Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators","volume":"55","author":"Astolfi","year":"2008","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0020","doi-asserted-by":"crossref","unstructured":"L. A. Baccal\u00e1, K. Sameshima, and D. Takahashi, Generalized partial directed coherence. 163-166.","DOI":"10.1109\/ICDSP.2007.4288544"},{"issue":"6","key":"10.1016\/j.jneumeth.2018.09.021_bib0025","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1007\/PL00007990","article-title":"Partial directed coherence: a new concept in neural structure determination","volume":"84","author":"Baccal\u00e1","year":"2001","journal-title":"Biol. Cybern."},{"issue":"February (1)","key":"10.1016\/j.jneumeth.2018.09.021_bib0030","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.jsp.2009.10.001","article-title":"An introduction to modern missing data analyses","volume":"48","author":"Baraldi","year":"2010","journal-title":"J. Sch. Psychol."},{"issue":"4","key":"10.1016\/j.jneumeth.2018.09.021_bib0035","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1016\/j.neuroimage.2004.12.053","article-title":"Imaging brain connectivity in children with diverse reading ability","volume":"25","author":"Beaulieu","year":"2005","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0040","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v045.i03","article-title":"Mice: multivariate imputation by chained equations in R","volume":"45","author":"Buuren","year":"2011","journal-title":"J. Stat. Softw."},{"issue":"2","key":"10.1016\/j.jneumeth.2018.09.021_bib0045","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.bandl.2007.12.009","article-title":"Effective brain connectivity in children with reading difficulties during phonological processing","volume":"107","author":"Cao","year":"2008","journal-title":"Brain Lang."},{"issue":"February(2)","key":"10.1016\/j.jneumeth.2018.09.021_bib0050","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.tics.2013.11.005","article-title":"The what, when, where, and how of visual word recognition","volume":"18","author":"Carreiras","year":"2014","journal-title":"Trends Cognit. Sci."},{"issue":"1","key":"10.1016\/j.jneumeth.2018.09.021_bib0055","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1038\/s41598-018-19707-1","article-title":"Detection of time-, frequency-and direction-resolved communication within brain networks","volume":"8","author":"Crouch","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0060","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1097\/00004691-199401000-00014","article-title":"Guideline thirteen: guidelines for standard electrode position nomenclature","volume":"11","author":"Electrode Position Nomenclature Committee","year":"1994","journal-title":"J. Clin. Neurophysiol."},{"year":"2010","series-title":"Applied Missing Data Analysis","author":"Enders","key":"10.1016\/j.jneumeth.2018.09.021_bib0065"},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0070","doi-asserted-by":"crossref","DOI":"10.1155\/2012\/140513","article-title":"Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis","volume":"2012","author":"Faes","year":"2012","journal-title":"Comput. Math. Methods Med."},{"issue":"October","key":"10.1016\/j.jneumeth.2018.09.021_bib0075","article-title":"Information dynamics of brain-heart physiological networks during sleep","volume":"16","author":"Faes","year":"2014","journal-title":"New J. Phys."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0080","doi-asserted-by":"crossref","unstructured":"E. Ghumare, M. Schrooten, R. Vandenberghe, and P. Dupont, Comparison of different Kalman filter approaches in deriving time varying connectivity from EEG data.\" pp. 2199-2202.","DOI":"10.1109\/EMBC.2015.7318827"},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0085","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/0013-4694(83)90135-9","article-title":"A new method for off-line removal of ocular artifact","volume":"55","author":"Gratton","year":"1983","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"issue":"6","key":"10.1016\/j.jneumeth.2018.09.021_bib0090","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1038\/nn.3101","article-title":"Large-scale cortical correlation structure of spontaneous oscillatory activity","volume":"15","author":"Hipp","year":"2012","journal-title":"Nat. Neurosci."},{"issue":"October","key":"10.1016\/j.jneumeth.2018.09.021_bib0095","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.neuroimage.2017.06.030","article-title":"Autoreject: automated artifact rejection for MEG and EEG data","volume":"159","author":"Jas","year":"2017","journal-title":"Neuroimage"},{"issue":"March","key":"10.1016\/j.jneumeth.2018.09.021_bib0100","article-title":"ERPs reveal the time-course of aberrant visual-phonological binding in developmental dyslexia","volume":"10","author":"Jones","year":"2016","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0105","first-page":"120","article-title":"Elektrophysiologische verfahren","author":"Khader","year":"2010","journal-title":"Handbuch Statistik, Methoden und Eval."},{"issue":"1","key":"10.1016\/j.jneumeth.2018.09.021_bib0110","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.neuroimage.2009.02.006","article-title":"Automated cortical projection of EEG sensors: anatomical correlation via the international 10\u201310 system","volume":"46","author":"Koessler","year":"2009","journal-title":"NeuroImage"},{"year":"2014","series-title":"Kappa Coefficient, Wiley StatsRef: Statistics Reference Online","author":"Kraemer","key":"10.1016\/j.jneumeth.2018.09.021_bib0115"},{"issue":"4","key":"10.1016\/j.jneumeth.2018.09.021_bib0120","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1080\/21646821.2016.1245568","article-title":"American clinical neurophysiology society guideline 5: minimum technical standards for pediatric electroencephalography","volume":"56","author":"Kuratani","year":"2016","journal-title":"Neurodiagn. J."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0125","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","article-title":"The measurement of observer agreement for categorical data","author":"Landis","year":"1977","journal-title":"Biometrics"},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0130","article-title":"Time-variant partial directed coherence for analysing connectivity: a methodological study","volume":"371","author":"Leistritz","year":"1997","journal-title":"Phil. Trans. R. Soc. A"},{"issue":"February(2)","key":"10.1016\/j.jneumeth.2018.09.021_bib0135","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1109\/JPROC.2015.2497144","article-title":"Time-variant modeling of brain processes","volume":"104","author":"Leistritz","year":"2016","journal-title":"Proc. Ieee"},{"issue":"1","key":"10.1016\/j.jneumeth.2018.09.021_bib0140","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/s10548-016-0527-x","article-title":"Seizure-onset mapping based on time-variant multivariate functional connectivity analysis of high-dimensional intracranial EEG: a Kalman filter approach","volume":"30","author":"Lie","year":"2017","journal-title":"Brain Topogr."},{"year":"2002","series-title":"Statistical Analysis With Missing Data","author":"Little","key":"10.1016\/j.jneumeth.2018.09.021_bib0145"},{"year":"2014","series-title":"Statistical Analysis With Missing Data","author":"Little","key":"10.1016\/j.jneumeth.2018.09.021_bib0150"},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0155","doi-asserted-by":"crossref","first-page":"237","DOI":"10.2307\/747667","article-title":"Young children\u2019s concepts about print and reading: toward a model of word reading acquisition","author":"Lomax","year":"1987","journal-title":"Read. Res. Q."},{"year":"2014","series-title":"Artifact Rejection and Correction, an Introduction to the Event-related Potential Technique","author":"Luck","key":"10.1016\/j.jneumeth.2018.09.021_bib0160"},{"year":"2014","series-title":"An Introduction to the Event-related Potential Technique","author":"Luck","key":"10.1016\/j.jneumeth.2018.09.021_bib0165"},{"year":"2005","series-title":"New Introduction to Multiple Time Series Analysis","author":"L\u00fctkepohl","key":"10.1016\/j.jneumeth.2018.09.021_bib0170"},{"issue":"July(4)","key":"10.1016\/j.jneumeth.2018.09.021_bib0175","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1007\/s10548-017-0567-x","article-title":"Cortical correlates of human balance control","volume":"30","author":"Mierau","year":"2017","journal-title":"Brain Topogr."},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0180","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1016\/j.neuroimage.2009.12.110","article-title":"A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials","volume":"50","author":"Milde","year":"2010","journal-title":"Neuroimage"},{"issue":"September (1)","key":"10.1016\/j.jneumeth.2018.09.021_bib0185","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jneumeth.2010.07.015","article-title":"FASTER: fully automated statistical thresholding for EEG artifact rejection","volume":"192","author":"Nolan","year":"2010","journal-title":"J. Neurosci. Methods"},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0190","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1109\/TBME.2013.2286394","article-title":"Measuring time-varying information flow in scalp EEG signals: orthogonalized partial directed coherence","volume":"61","author":"Omidvarnia","year":"2014","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0195","unstructured":"B. Pester, and C. Ligges, Does independent component analysis influence EEG connectivity analyses?."},{"issue":"May (6)","key":"10.1016\/j.jneumeth.2018.09.021_bib0200","article-title":"A review of issues related to data acquisition and analysis in EEG\/MEG studies","volume":"7","author":"Puce","year":"2017","journal-title":"Brain Sci."},{"issue":"August (4)","key":"10.1016\/j.jneumeth.2018.09.021_bib0205","article-title":"Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features","volume":"14","author":"Raduntz","year":"2017","journal-title":"J. Neural Eng."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0210","series-title":"Imputation and Interpolation., Forest Analytics With R. Use R","first-page":"117","author":"Robinson","year":"2011"},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0215","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1093\/biomet\/63.3.581","article-title":"Inference and missing data","volume":"63","author":"Rubin","year":"1976","journal-title":"Biometrika"},{"issue":"398","key":"10.1016\/j.jneumeth.2018.09.021_bib0220","first-page":"543","volume":"82","author":"Rubin","year":"1987","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"10.1016\/j.jneumeth.2018.09.021_bib0225","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1037\/1082-989X.7.2.147","article-title":"Missing data: our view of the state of the art","volume":"7","author":"Schafer","year":"2002","journal-title":"Psychol. Methods"},{"issue":"May (2)","key":"10.1016\/j.jneumeth.2018.09.021_bib0230","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.bandl.2012.07.003","article-title":"Time-constrained functional connectivity analysis of cortical networks underlying phonological decoding in typically developing school-aged children: a magnetoencephalography study","volume":"125","author":"Simos","year":"2013","journal-title":"Brain Lang."},{"issue":"May (5)","key":"10.1016\/j.jneumeth.2018.09.021_bib0235","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1109\/TBME.2005.845368","article-title":"Estimation of coherence between blood flow and spontaneous EEG activity in neonates","volume":"52","author":"Simpson","year":"2005","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.jneumeth.2018.09.021_bib0240","doi-asserted-by":"crossref","unstructured":"D. Sitaram, A. Dalwani, A. Narang, M. Das, and P. Auradkar, A Measure of Similarity of Time Series Containing Missing Data Using the Mahalanobis Distance.\" pp. 622-627.","DOI":"10.1109\/ICACCE.2015.14"},{"issue":"4","key":"10.1016\/j.jneumeth.2018.09.021_bib0245","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","article-title":"A systematic analysis of performance measures for classification tasks","volume":"45","author":"Sokolova","year":"2009","journal-title":"Inf. Process. Manage."},{"issue":"4","key":"10.1016\/j.jneumeth.2018.09.021_bib0250","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5392\/IJoC.2013.9.4.001","article-title":"Exploiting patterns for handling incomplete coevolving EEG time series","volume":"9","author":"Thi","year":"2013","journal-title":"Int. J. Contents"},{"issue":"3","key":"10.1016\/j.jneumeth.2018.09.021_bib0255","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/12\/3\/031001","article-title":"EEG artifact removal\u2014state-of-the-art and guidelines","volume":"12","author":"Urig\u00fcen","year":"2015","journal-title":"J. Neural Eng."},{"issue":"August","key":"10.1016\/j.jneumeth.2018.09.021_bib0260","article-title":"Automatic classification of artifactual ICA-Components for artifact removal in EEG signals","volume":"7","author":"Winkler","year":"2011","journal-title":"Behav. Brain Funct."},{"issue":"8","key":"10.1016\/j.jneumeth.2018.09.021_bib0265","doi-asserted-by":"crossref","first-page":"2031","DOI":"10.3758\/BF03196680","article-title":"A brief introduction to the use of event-related potentials in studies of perception and attention","volume":"72","author":"Woodman","year":"2010","journal-title":"Atten. Percept. Psychophys."}],"container-title":["Journal of Neuroscience Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027018302887?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027018302887?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T00:47:14Z","timestamp":1759020434000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165027018302887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":53,"alternative-id":["S0165027018302887"],"URL":"https:\/\/doi.org\/10.1016\/j.jneumeth.2018.09.021","relation":{},"ISSN":["0165-0270"],"issn-type":[{"type":"print","value":"0165-0270"}],"subject":[],"published":{"date-parts":[[2018,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Influence of imputation strategies on the identification of brain functional connectivity networks","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroscience Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jneumeth.2018.09.021","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}