This study aimed to investigate if real-time Neurofeedback can enhance learning rates for NeuroTracker training.

What Was Studied

40 healthy adults were assigned to four training groups (ten each), performing either: standard NeuroTracker training, no training (control group), NeuroTracker with EEG-Neurofeedback, or NeuroTracker with sham Neurofeedback. EEG-Neurofeedback involved closed-loop feedback that automatically detects when a participant has lost track of their targets and immediately reindexes them.

What Was Found

The standard NeuroTracker group, control group and EEG-Neurofeedback groups started at a similar level, higher than the sham Neurofeedback group. However the EEG-Neurofeedback showed superior learning rates over all other groups over the course of 10 training sessions.

Takeaways

The results show that a closed-loop learning paradigm is highly effective at enhancing learning outcomes on the NeuroTracker task.

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Reference: Brendan Parsons & Jocelyn Faubert ‘Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback’ Scientific Reports 11, 2021.

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