Can we predict real‐time <scp>fMRI</scp> neurofeedback learning success from pretraining brain activity?
-
- Amelie Haugg
- Psychiatric University Hospital Zurich University of Zurich Zürich Switzerland
-
- Ronald Sladky
- Faculty of Psychology University of Vienna Vienna Austria
-
- Stavros Skouras
- Department of Biological and Medical Psychology University of Bergen Bergen Norway
-
- Amalia McDonald
- Department of Psychology University of Virginia Charlottesville Virginia
-
- Cameron Craddock
- Department of Diagnostic Medicine The University of Texas at Austin Dell Medical School Austin Texas
-
- Matthias Kirschner
- Psychiatric University Hospital Zurich University of Zurich Zürich Switzerland
-
- Marcus Herdener
- Psychiatric University Hospital Zurich University of Zurich Zürich Switzerland
-
- Yury Koush
- Magnetic Resonance Research Center, Department of Radiology & Biomedical Imaging Yale University New Haven Connecticut
-
- Marina Papoutsi
- UCL Huntington's Disease Centre Institute of Neurology, University College London London England
-
- Jackob N. Keynan
- Functional Brain Center Wohl Institute for Advanced Imaging, Tel‐Aviv Sourasky Medical Center, Tel‐Aviv University Tel Aviv Israel
-
- Talma Hendler
- Functional Brain Center Wohl Institute for Advanced Imaging, Tel‐Aviv Sourasky Medical Center, Tel‐Aviv University Tel Aviv Israel
-
- Kathrin Cohen Kadosh
- School of Psychology University of Surrey Guildford England
-
- Catharina Zich
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford Oxford England
-
- Jeff MacInnes
- Institute for Learning and Brain Sciences University of Washington Seattle Washington
-
- R. Alison Adcock
- Department of Psychiatry and Behavioral Sciences Duke University Durham North Carolina
-
- Kathryn Dickerson
- Department of Psychiatry and Behavioral Sciences Duke University Durham North Carolina
-
- Nan‐Kuei Chen
- Department of Biomedical Engineering University of Arizona Tucson Arizona
-
- Kymberly Young
- Department of Psychiatry, School of Medicine University of Pittsburgh Pittsburgh Pennsylvania
-
- Jerzy Bodurka
- Laureate Institute for Brain Research Tulsa Oklahoma
-
- Shuxia Yao
- Clinical Hospital of Chengdu the Brain Science Institute, MOE Key Laboratory for Neuroinformation University of Electronic Science and Technology of China Chengdu China
-
- Benjamin Becker
- Clinical Hospital of Chengdu the Brain Science Institute, MOE Key Laboratory for Neuroinformation University of Electronic Science and Technology of China Chengdu China
-
- Tibor Auer
- School of Psychology University of Surrey Guildford England
-
- Renate Schweizer
- Functional Imaging Laboratory German Primate Center Göttingen Germany
-
- Gustavo Pamplona
- Hôpital and Ophtalmique Jules Gonin University of Lausanne Lausanne Switzerland
-
- Kirsten Emmert
- Department of Neurology University Medical Center Schleswig‐Holstein, Kiel University Kiel Germany
-
- Sven Haller
- Radiology‐Department of Surgical Sciences Uppsala University Uppsala Sweden
-
- Dimitri Van De Ville
- Center for Neuroprosthetics Ecole Polytechnique Féderale de Lausanne Lausanne Switzerland
-
- Maria‐Laura Blefari
- Center for Neuroprosthetics Ecole Polytechnique Féderale de Lausanne Lausanne Switzerland
-
- Dong‐Youl Kim
- Department of Brain and Cognitive Engineering Korea University Seoul Korea
-
- Jong‐Hwan Lee
- Department of Brain and Cognitive Engineering Korea University Seoul Korea
-
- Theo Marins
- D'Or Institute for Research and Education (IDOR) Rio de Janeiro Brazil
-
- Megumi Fukuda
- School of Fundamental Science and Engineering Waseda University Tokyo Japan
-
- Bettina Sorger
- Department Cognitive Neuroscience, Faculty of Psychology and Neuroscience Maastricht University Maastricht The Netherlands
-
- Tabea Kamp
- Department Cognitive Neuroscience, Faculty of Psychology and Neuroscience Maastricht University Maastricht The Netherlands
-
- Sook‐Lei Liew
- Division of Occupational Science and Occupational Therapy University of Southern California Los Angeles California
-
- Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich University of Tübingen Tübingen Germany
-
- Maartje Spetter
- School of Psychology University of Birmingham Birmingham England
-
- Nikolaus Weiskopf
- Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
-
- Frank Scharnowski
- Psychiatric University Hospital Zurich University of Zurich Zürich Switzerland
抄録
<jats:title>Abstract</jats:title><jats:p>Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real‐time fMRI neurofeedback studies report large inter‐individual differences in learning success. The factors that cause this vast variability between participants remain unknown and their identification could enhance treatment success. Thus, here we employed a meta‐analytic approach including data from 24 different neurofeedback studies with a total of 401 participants, including 140 patients, to determine whether levels of activity in target brain regions during pretraining functional localizer or no‐feedback runs (i.e., self‐regulation in the absence of neurofeedback) could predict neurofeedback learning success. We observed a slightly positive correlation between pretraining activity levels during a functional localizer run and neurofeedback learning success, but we were not able to identify common brain‐based success predictors across our diverse cohort of studies. Therefore, advances need to be made in finding robust models and measures of general neurofeedback learning, and in increasing the current study database to allow for investigating further factors that might influence neurofeedback learning.</jats:p>
収録刊行物
-
- Human Brain Mapping
-
Human Brain Mapping 41 (14), 3839-3854, 2020-07-30
Wiley