Feasibility of training the dorsolateral prefrontal-striatal network by real-time fMRI neurofeedback
Real-time fMRI neurofeedback (rt-fMRI NF) is a promising non-invasive technique that enables volitional control of usually covert brain processes. While most rt-fMRI NF studies so far have demonstrated the ability of the method to evoke changes in brain activity and improve symptoms of mental disord...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
31 January 2022
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| In: |
Scientific reports
Year: 2022, Volume: 12, Pages: 1-10 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-022-05675-0 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41598-022-05675-0 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41598-022-05675-0 
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| Author Notes: | Franziska Weiss, Jingying Zhang, Acelya Aslan, Peter Kirsch & Martin Fungisai Gerchen |
| Summary: | Real-time fMRI neurofeedback (rt-fMRI NF) is a promising non-invasive technique that enables volitional control of usually covert brain processes. While most rt-fMRI NF studies so far have demonstrated the ability of the method to evoke changes in brain activity and improve symptoms of mental disorders, a recently evolving field is network-based functional connectivity (FC) rt-fMRI NF. However, FC rt-fMRI NF has methodological challenges such as respirational artefacts that could potentially bias the training if not controlled. In this randomized, double-blind, yoke-controlled, pre-registered FC rt-fMRI NF study with healthy participants (N = 40) studied over three training days, we tested the feasibility of an FC rt-fMRI NF approach with online global signal regression (GSR) to control for physiological artefacts for up-regulation of connectivity in the dorsolateral prefrontal-striatal network. While our pre-registered null hypothesis significance tests failed to reach criterion, we estimated the FC training effect at a medium effect size at the end of the third training day after rigorous control of physiological artefacts in the offline data. This hints at the potential of FC rt-fMRI NF for the development of innovative transdiagnostic circuit-specific interventional approaches for mental disorders and the effect should now be confirmed in a well-powered study. |
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| Item Description: | Gesehen am 11.07.2023 |
| Physical Description: | Online Resource |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-022-05675-0 |