{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T21:23:06Z","timestamp":1792444986493,"version":"4.5.0"},"reference-count":56,"publisher":"Wiley","issue":"14","license":[{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"am","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FT160100077"],"award-info":[{"award-number":["FT160100077"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Automated EEG pre\u2010processing pipelines provide several key advantages over traditional manual data cleaning approaches; primarily, they are less time\u2010intensive and remove potential experimenter error\/bias. Automated pipelines also require fewer technical expertise as they remove the need for manual artefact identification. We recently developed the fully automated Reduction of Electroencephalographic Artefacts (RELAX) pipeline and demonstrated its performance in cleaning EEG data recorded from adult populations. Here, we introduce the RELAX\u2010Jr pipeline, which was adapted from RELAX and designed specifically for pre\u2010processing of data collected from children. RELAX\u2010Jr implements multi\u2010channel Wiener filtering (MWF) and\/or wavelet\u2010enhanced independent component analysis (wICA) combined with the adjusted\u2010ADJUST automated independent component classification algorithm to identify and reduce all artefacts using algorithms adapted to optimally identify artefacts in EEG recordings taken from children. Using a dataset of resting\u2010state EEG recordings (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u2009136) from children spanning early\u2010to\u2010middle childhood (4\u201312\u2009years), we assessed the cleaning performance of RELAX\u2010Jr using a range of metrics including signal\u2010to\u2010error ratio, artefact\u2010to\u2010residue ratio, ability to reduce blink and muscle contamination, and differences in estimates of alpha power between eyes\u2010open and eyes\u2010closed recordings. We also compared the performance of RELAX\u2010Jr against four publicly available automated cleaning pipelines. We demonstrate that RELAX\u2010Jr provides strong cleaning performance across a range of metrics, supporting its use as an effective and fully automated cleaning pipeline for neurodevelopmental EEG data.\n                  <\/jats:p>","DOI":"10.1002\/hbm.70034","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T01:12:23Z","timestamp":1728263543000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["<scp>RELAX<\/scp>\n                    \u2010Jr: An Automated Pre\u2010Processing Pipeline for Developmental\n                    <scp>EEG<\/scp>\n                    Recordings"],"prefix":"10.1002","volume":"45","author":[{"given":"Aron T.","family":"Hill","sequence":"first","affiliation":[{"name":"Cognitive Neuroscience Unit, School of Psychology Deakin University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter G.","family":"Enticott","sequence":"additional","affiliation":[{"name":"Cognitive Neuroscience Unit, School of Psychology Deakin University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul B.","family":"Fitzgerald","sequence":"additional","affiliation":[{"name":"Monarch Research Institute, Monarch Mental Health Group  Sydney New South Wales Australia"},{"name":"School of Medicine and Psychology The Australian National University  Canberra Australian Capital Territory Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil W.","family":"Bailey","sequence":"additional","affiliation":[{"name":"Monarch Research Institute, Monarch Mental Health Group  Sydney New South Wales Australia"},{"name":"School of Medicine and Psychology The Australian National University  Canberra Australian Capital Territory Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,10,6]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461662"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2844203"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2023.01.017"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2023.01.018"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.6.1129"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/15248372.2012.691143"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0895\u20104356(00)00314\u20100"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/bf01797193"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2015.2418351"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2015.00016"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.05.012"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1027\/0269\u20108803\/a000243"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2023.101201"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2006.05.033"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2021.100969"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2930186"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/med\/9780195385113.003.0007"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2023.02.169"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/psyp.13580"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010023\u201027528\u20100"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116117"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rasd.2018.10.001"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41593\u2010020\u201000744\u2010x"},{"key":"e_1_2_10_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/psyp.14285"},{"key":"e_1_2_10_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2015.12.009"},{"key":"e_1_2_10_28_1","doi-asserted-by":"publisher","DOI":"10.1097\/WNP.0b013e3180556926"},{"key":"e_1_2_10_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2022.101077"},{"key":"e_1_2_10_30_1","doi-asserted-by":"crossref","unstructured":"Frank G. 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