Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements

Christian Paret, Noam Goldway, Catharina Zich, Jackob Nimrod Keynan, Talma Hendler, David Linden, Kathrin Cohen Kadosh*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Neurofeedback (NF) is a research and clinical technique, characterized by live demonstration of brain activation to the subject. The technique has become increasingly popular as a tool for the training of brain self-regulation, fueled by the superiority in spatial resolution and fidelity brought along with real-time analysis of fMRI (functional magnetic resonance imaging) data, compared to the more traditional EEG (electroencephalography) approach. NF learning is a complex phenomenon and a controversial discussion on its feasibility and mechanisms has arisen in the literature. Critical aspects of the design of fMRI-NF studies include the localization of neural targets, cognitive and operant aspects of the training procedure, personalization of training, and the definition of training success, both through neural effects and (for studies with therapeutic aims) through clinical effects. In this paper, we argue that a developmental perspective should inform neural target selection particularly for pediatric populations, and different success metrics may allow in-depth analysis of NF learning. The relevance of the functional neuroanatomy of NF learning for brain target selection is discussed. Furthermore, we address controversial topics such as the role of strategy instructions, sometimes given to subjects in order to facilitate learning, and the timing of feedback. Discussion of these topics opens sight on problems that require further conceptual and empirical work, in order to improve the impact that fMRI-NF could have on basic and applied research in future.

Original languageEnglish
Article number116107
JournalNeuroImage
Volume202
DOIs
StatePublished - 15 Nov 2019

Funding

FundersFunder number
7th Framework Programme602186
European Commission
Deutsche ForschungsgemeinschaftPA 3107/1-1

    Keywords

    • BCI
    • Developmental cognitive neuroscience
    • Multivariate pattern analysis
    • Neurofeedback
    • Real-time fMRI
    • Review
    • Translational research

    Fingerprint

    Dive into the research topics of 'Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements'. Together they form a unique fingerprint.

    Cite this