Log in to save to my catalogue
Log in to save to my catalogue

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-ana...

| Ask | Become a Library member

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-ana...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a02d62b9cbe24b19b6aba414fbe6d977

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis

About this item

Full title

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis

Author / Creator

Haugg, Amelie , Renz, Fabian M. , Nicholson, Andrew A. , Lor, Cindy , Götzendorfer, Sebastian J. , Sladky, Ronald , Skouras, Stavros , McDonald, Amalia , Craddock, Cameron , Hellrung, Lydia , Kirschner, Matthias , Herdener, Marcus , Koush, Yury , Papoutsi, Marina , Keynan, Jackob , Hendler, Talma , Cohen Kadosh, Kathrin , Zich, Catharina , Kohl, Simon H. , Hallschmid, Manfred , MacInnes, Jeff , Adcock, R. Alison , Dickerson, Kathryn C. , Chen, Nan-Kuei , Young, Kymberly , Bodurka, Jerzy , Marxen, Michael , Yao, Shuxia , Becker, Benjamin , Auer, Tibor , Schweizer, Renate , Pamplona, Gustavo , Lanius, Ruth A. , Emmert, Kirsten , Haller, Sven , Van De Ville, Dimitri , Kim, Dong-Youl , Lee, Jong-Hwan , Marins, Theo , Megumi, Fukuda , Sorger, Bettina , Kamp, Tabea , Liew, Sook-Lei , Veit, Ralf , Spetter, Maartje , Weiskopf, Nikolaus , Scharnowski, Frank and Steyrl, David

Publisher

Amsterdam: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2021-08, Vol.237, p.118207-118207, Article 118207

Language

English

Formats

Articles

Publication information

Publisher

Amsterdam: Elsevier Inc

Subjects

More information

Scope and Contents

Contents

•First machine learning mega-analysis to investigate predictors of real-time fMRI neurofeedback success.•Inclusion of a pre-training no feedback was associated with higher neurofeedback performance.•Patients were associated with higher neurofeedback performance than healthy individuals.•More data (sharing) in the future will allow for design optimi...

Alternative Titles

Full title

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a02d62b9cbe24b19b6aba414fbe6d977

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a02d62b9cbe24b19b6aba414fbe6d977

Other Identifiers

ISSN

1053-8119,1095-9572

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2021.118207

How to access this item

Log in as a Library member

Full text available

About resource

View in old catalogue

Connecting people and collections