Key result
Post-treatment changes in specific EEG metrics following Live Z-Score Training accounted for 63% of the variance in affective symptom reduction and 31% of the variance in cognitive symptom reduction in patients with persistent post-concussive symptoms.
Why the study?
Live Z-Score Training permits implicit and flexible modulation of EEG activity, but the relationship between post-training EEG changes and symptom reduction in persistent post-concussive symptoms required evaluation to refine treatment protocols.
Do post-treatment changes in EEG activity following Live Z-Score Training predict self-reported symptom reduction in patients with persistent post-concussive symptoms?
Do post-treatment changes in EEG activity following Live Z-Score Training predict self-reported symptom reduction in patients with persistent post-concussive symptoms?
Specific EEG changes following Live Z-Score Training predict improvements in pain, cognitive, and affective symptoms in patients with persistent post-concussive symptoms.
Answers are grounded in this paper and cite their sources.
Exploratory EEG-symptom links after LZT in PPCS are hypothesis-generating; prospective trials needed before any clinical use.
-Score Training (LZT), can be configured to not target specific EEG frequencies, networks, or regions of the brain, thereby permitting implicit and flexible modulation of EEG activity. In this exploratory analysis, the relationship between post-LZT changes in EEG activity and self-reported symptom reduction is evaluated in a sample of patients with persistent post-concussive symptoms (PPCS). Penalized regressions were used to identify EEG metrics associated with changes in physical, cognitive, and affective symptoms; the predictive capacity of EEG variables selected by the penalized regressions were subsequently validated using linear regression models. Post-treatment changes in theta/alpha ratio predicted reduction in pain intensity and cognitive symptoms and changes in beta-related power metrics predicted improvements in affective symptoms. No EEG changes were associated with changes in a majority of physical symptoms. These data highlight the potential for NFT to target specific EEG patterns to provide greater treatment precision for PPCS patients. This exploratory analysis is intended to promote the refinement of NFT treatment protocols to improve outcomes for patients with PPCS.
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Hershaw et al. (2022) studied Persistent post-concussive symptoms (PPCS) (n=26). Live Z-Score Training (LZT) neurofeedback therapy was evaluated on Prediction of changes in persistent post-concussive symptoms based on post-treatment changes in EEG activity. Post-treatment changes in specific EEG metrics following Live Z-Score Training accounted for 63% of the variance in affective symptom reduction and 31% of the variance in cognitive symptom reduction in patients with persistent post-concussive symptoms.
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