date: 2021-05-28T12:26:04Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis xmp:CreatorTool: Elsevier AuthoritativeDomain[2]: elsevier.com access_permission:can_print_degraded: true subject: NeuroImage, 237 (2021) 118207. doi:10.1016/j.neuroimage.2021.118207 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:encrypted: false dc:title: Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis modified: 2021-05-28T12:26:04Z cp:subject: NeuroImage, 237 (2021) 118207. doi:10.1016/j.neuroimage.2021.118207 pdf:docinfo:custom:CrossMarkDomains[1]: sciencedirect.com robots: noindex pdf:docinfo:subject: NeuroImage, 237 (2021) 118207. doi:10.1016/j.neuroimage.2021.118207 pdf:docinfo:creator: Amelie Haugg meta:author: Fabian M. Renz meta:creation-date: 2021-05-28T12:25:20Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2021-05-28T12:25:20Z access_permission:extract_for_accessibility: true Creation-Date: 2021-05-28T12:25:20Z pdf:docinfo:custom:CrossMarkDomains[2]: elsevier.com ElsevierWebPDFSpecifications: 7.0 pdf:docinfo:custom:doi: 10.1016/j.neuroimage.2021.118207 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Fabian M. Renz producer: Acrobat Distiller 10.0.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.0.0 (Windows) doi: 10.1016/j.neuroimage.2021.118207 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: NeuroImage, 237 (2021) 118207. doi:10.1016/j.neuroimage.2021.118207 Keywords: "Neurofeedback"; "Functional MRI"; "Mega-analysis"; "Machine learning"; "Real-time fMRI"; "Learning" access_permission:modify_annotations: true pdf:docinfo:custom:AuthoritativeDomain[2]: elsevier.com dc:creator: Fabian M. Renz description: NeuroImage, 237 (2021) 118207. doi:10.1016/j.neuroimage.2021.118207 dcterms:created: 2021-05-28T12:25:20Z Last-Modified: 2021-05-28T12:26:04Z dcterms:modified: 2021-05-28T12:26:04Z title: Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis xmpMM:DocumentID: uuid:fd8cfc10-4791-4a8b-8025-00abb91efa0c Last-Save-Date: 2021-05-28T12:26:04Z CrossMarkDomains[1]: sciencedirect.com pdf:docinfo:keywords: "Neurofeedback"; "Functional MRI"; "Mega-analysis"; "Machine learning"; "Real-time fMRI"; "Learning" pdf:docinfo:modified: 2021-05-28T12:26:04Z meta:save-date: 2021-05-28T12:26:04Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Fabian M. Renz dc:subject: "Neurofeedback"; "Functional MRI"; "Mega-analysis"; "Machine learning"; "Real-time fMRI"; "Learning" AuthoritativeDomain[1]: sciencedirect.com pdf:docinfo:custom:AuthoritativeDomain[1]: sciencedirect.com pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0 access_permission:assemble_document: true xmpTPg:NPages: 11 pdf:charsPerPage: 4515 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: elsevier.com meta:keyword: "Neurofeedback"; "Functional MRI"; "Mega-analysis"; "Machine learning"; "Real-time fMRI"; "Learning" access_permission:can_modify: true pdf:docinfo:created: 2021-05-28T12:25:20Z CrossmarkMajorVersionDate: 2010-04-23