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Towards semantic fMRI neurofeedback
- Source :
- Journal of neural engineering, 18(4):046015. IOP Publishing Ltd.
- Publication Year :
- 2021
-
Abstract
- Objective. Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI-NF) is a non-invasive MRI procedure allowing examined participants to learn to self-regulate brain activity by performing mental tasks. A novel two-step rt-fMRI-NF procedure is proposed whereby the feedback display is updated in real-time based on high-level representations of experimental stimuli (e.g. objects to imagine) via real-time representational similarity analysis of multi-voxel patterns of brain activity. Approach. In a localizer session, the stimuli become associated with anchored points on a two-dimensional representational space where distances approximate between-pattern (dis)similarities. In the NF session, participants modulate their brain response, displayed as a movable point, to engage in a specific neural representation. The developed method pipeline is verified in a proof-of-concept rt-fMRI-NF study at 7 T involving a single healthy participant imagining concrete objects. Based on this data and artificial data sets with similar (simulated) spatio-temporal structure and variable (injected) signal and noise, the dependence on noise is systematically assessed. Main results. The participant in the proof-of-concept study exhibited robust activation patterns in the localizer session and managed to control the neural representation of a stimulus towards the selected target in the NF session. The offline analyses validated the rt-fMRI-NF results, showing that the rapid convergence to the target representation is noise-dependent. Significance. Our proof-of-concept study introduces a new NF method allowing the participant to navigate among different mental states. Compared to traditional NF designs (e.g. using a thermometer display to set the level of the neural signal), the proposed approach provides content-specific feedback to the participant and extra degrees of freedom to the experimenter enabling real-time control of the neural activity towards a target brain state without suggesting a specific mental strategy to the subject.
- Subjects :
- Computer science
Brain activity and meditation
Speech recognition
0206 medical engineering
Biomedical Engineering
real-time fMRI
02 engineering and technology
Stimulus (physiology)
semantic representation
representational similarity
03 medical and health sciences
Cellular and Molecular Neuroscience
0302 clinical medicine
medicine
Humans
Session (computer science)
Set (psychology)
Representation (mathematics)
Brain Mapping
medicine.diagnostic_test
Brain
neurofeedback
Magnetic Resonance Imaging
020601 biomedical engineering
Semantics
Noise (video)
Neurofeedback
Functional magnetic resonance imaging
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 17412560
- Volume :
- 18
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of neural engineering
- Accession number :
- edsair.doi.dedup.....be0a3252b3652444b919350432976e41