{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T03:43:52Z","timestamp":1768016632390,"version":"3.49.0"},"reference-count":32,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2020,3,26]],"date-time":"2020-03-26T00:00:00Z","timestamp":1585180800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1007358","type":"journal-article","created":{"date-parts":[[2020,3,26]],"date-time":"2020-03-26T17:26:00Z","timestamp":1585243560000},"page":"e1007358","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":14,"title":["Seven quick tips for analysis scripts in neuroimaging"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6537-6899","authenticated-orcid":true,"given":"Marijn","family":"van Vliet","sequence":"first","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2020,3,26]]},"reference":[{"key":"pcbi.1007358.ref001","doi-asserted-by":"crossref","first-page":"16","DOI":"10.3389\/fninf.2015.00016","article-title":"The PREP Pipeline: Standardized Preprocessing for Large-Scale EEG Analysis","volume":"9","author":"N Bigdely-Shamlo","year":"2015","journal-title":"Frontiers in Neuroinformatics"},{"issue":"1","key":"pcbi.1007358.ref002","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":"H Nolan","year":"2010","journal-title":"Journal of Neuroscience Methods"},{"key":"pcbi.1007358.ref003","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":"M Jas","year":"2017","journal-title":"NeuroImage"},{"key":"pcbi.1007358.ref004","first-page":"4","article-title":"Representational Similarity Analysis\u2014Connecting the Branches of Systems Neuroscience","volume":"2","author":"N Kriegeskorte","year":"2008","journal-title":"Frontiers in systems neuroscience"},{"issue":"4","key":"pcbi.1007358.ref005","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.tics.2014.01.002","article-title":"Characterizing the Dynamics of Mental Representations: The Temporal Generalization Method","volume":"18","author":"JR King","year":"2014","journal-title":"Trends in Cognitive Sciences"},{"issue":"1","key":"pcbi.1007358.ref006","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1146\/annurev-psych-113011-143804","article-title":"Multivariate Statistical Analyses for Neuroimaging Data","volume":"64","author":"AR McIntosh","year":"2013","journal-title":"Annual Review of Psychology"},{"issue":"1","key":"pcbi.1007358.ref007","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jneumeth.2007.03.024","article-title":"Nonparametric Statistical Testing of EEG- and MEG-Data","volume":"164","author":"E Maris","year":"2007","journal-title":"Journal of Neuroscience Methods"},{"issue":"9","key":"pcbi.1007358.ref008","doi-asserted-by":"crossref","first-page":"3847","DOI":"10.1096\/fj.14-256735","article-title":"Sources of Error in the Retracted Scientific Literature","volume":"28","author":"A Casadevall","year":"2014","journal-title":"The FASEB Journal"},{"issue":"5807","key":"pcbi.1007358.ref009","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.1126\/science.314.5807.1856","article-title":"A Scientist's Nightmare: Software Problem Leads to Five Retractions","volume":"314","author":"Scientific Publishing","year":"2006","journal-title":"Science (New York, NY)"},{"issue":"7317","key":"pcbi.1007358.ref010","first-page":"775","article-title":"Computational Science: \u2026Error \u2026why Scientific Programming Does Not Compute","volume":"467","author":"Z. Merali","year":"2010","journal-title":"Nature"},{"key":"pcbi.1007358.ref011","article-title":"A reproducible MEG\/EEG group study with the MNE software: recommendations, quality assessments, and good practices","volume":"12","author":"M Jas","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref012","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2018.00711","article-title":"FieldTrip made easy: an analysis protocol for group analysis of the auditory steady state brain response in time, frequency, and space","volume":"12","author":"T Popov","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref013","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2019.00076","article-title":"MEG\/EEG group analysis with Brainstorm","volume":"13","author":"F Tadel","year":"2019","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref014","article-title":"Group analysis in MNE-Python of evoked responses from a tactile stimulation paradigm: a pipeline for reproducibility at every step of processing, going from individual sensor space representations to an across-group source space representation","volume":"12","author":"LM Andersen","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref015","article-title":"Group analysis in FieldTrip of time-frequency responses: a pipeline for reproducibility at every step of processing, going from individual sensor space representations to an across-group source space representation","volume":"12","author":"LM Andersen","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref016","volume-title":"Test Driven Development: By Example","author":"K. Beck","year":"2002"},{"key":"pcbi.1007358.ref017","volume-title":"The Pragmatic Programmer: From Journeyman to Master","author":"A Hunt","year":"1999"},{"key":"pcbi.1007358.ref018","volume-title":"Clean Code: A Handbook of Agile Software Craftmanship","author":"RC Martin","year":"2008"},{"key":"pcbi.1007358.ref019","volume-title":"Code Complete: A Practical Handbook of Software Construction","author":"S. McConnell","year":"2004"},{"issue":"1","key":"pcbi.1007358.ref020","doi-asserted-by":"crossref","first-page":"e1001745","DOI":"10.1371\/journal.pbio.1001745","article-title":"Best Practices for Scientific Computing","volume":"12","author":"G Wilson","year":"2014","journal-title":"PLoS Biol"},{"issue":"10","key":"pcbi.1007358.ref021","doi-asserted-by":"crossref","first-page":"e1006141","DOI":"10.1371\/journal.pcbi.1006141","article-title":"Ten Quick Tips for Getting the Most Scientific Value out of Numerical Data","volume":"14","author":"LO Schwen","year":"2018","journal-title":"PLoS Comput Biol"},{"key":"pcbi.1007358.ref022","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2018.00586","article-title":"Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python","volume":"12","author":"M van Vliet","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"pcbi.1007358.ref023","doi-asserted-by":"crossref","first-page":"150001","DOI":"10.1038\/sdata.2015.1","article-title":"A Multi-Subject, Multi-Modal Human Neuroimaging Dataset","volume":"2","author":"DG Wakeman","year":"2015","journal-title":"Scientific Data."},{"issue":"7\u20138","key":"pcbi.1007358.ref024","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1177\/0037549704049876","article-title":"Criteria for Decomposing Systems Into Components in Modeling and Simulation: Lessons Learned with Military Simulations","volume":"80","author":"MA Hofmann","year":"2004","journal-title":"Simulation"},{"issue":"12","key":"pcbi.1007358.ref025","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1145\/361598.361623","article-title":"On the Criteria to Be Used in Decomposing Systems into Modules","volume":"15","author":"DL Parnas","year":"1972","journal-title":"Communications of the ACM"},{"key":"pcbi.1007358.ref026","article-title":"Nipy\/Nipype: Release 0.13.1","author":"KJ Gorgolewski","year":"2017"},{"issue":"December","key":"pcbi.1007358.ref027","first-page":"1","article-title":"MEG and EEG Data Analysis with MNE-Python","volume":"7","author":"A Gramfort","year":"2013","journal-title":"Frontiers in Neuroscience"},{"issue":"1","key":"pcbi.1007358.ref028","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1002\/arcp.1044","article-title":"Creativity: Past, Present, and Future","volume":"2","author":"R Mehta","year":"2019","journal-title":"Consumer Psychology Review"},{"issue":"6","key":"pcbi.1007358.ref029","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/MS.2012.167","article-title":"Technical Debt: From Metaphor to Theory and Practice","volume":"29","author":"P Kruchten","year":"2012","journal-title":"IEEE Software"},{"issue":"1","key":"pcbi.1007358.ref030","doi-asserted-by":"crossref","first-page":"e1004668","DOI":"10.1371\/journal.pcbi.1004668","article-title":"A Quick Introduction to Version Control with Git and GitHub","volume":"12","author":"JD Blischak","year":"2016","journal-title":"PLoS Comput Biol"},{"issue":"2","key":"pcbi.1007358.ref031","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1177\/2515245918754826","article-title":"Curating Research Assets: A Tutorial on the Git Version Control System","volume":"1","author":"M Vuorre","year":"2018","journal-title":"Advances in Methods and Practices in Psychological Science"},{"key":"pcbi.1007358.ref032","unstructured":"Chacon S, Straub B. Pro Git. 2nd ed. The Experts Voice; 2019."}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1007358","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,26]],"date-time":"2020-03-26T17:26:18Z","timestamp":1585243578000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1007358"}},"subtitle":[],"editor":[{"given":"Scott","family":"Markel","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,3,26]]},"references-count":32,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,3,26]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1007358","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,26]]}}}