Spectral EEG topography

Spectral EEG topography patterns in EEG reflect specific brain states and functions. QEEG brain mapping measures spectral eeg topography activity across brain regions, revealing individual patterns that guide neurofeedback protocol selection. Explore our 2 research papers covering this topic.

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Research Papers

Evaluation of Neurofeedback Training in the Treatment of Parkinson's Disease: A Pilot Study

Erickson-Davis, Cordelia R., Anderson, John S., Wielinski, Catherine L., Richter, Sara A., Parashos, Sotirios A. (2012) · Journal of Neurotherapy

We assess the effects of EEG biofeedback training on levodopa-induced dyskinesia (LID) in patients with Parkinson's disease (PD) using a sham feedback controlled study design. Nine subjects were randomized into either a treatment group or control group and underwent 24 sessions of either active feedback training or sham feedback. The training protocol aimed at increasing 8–15 Hz activity while inhibiting excess 4–8 Hz and 23–34 Hz activity at the C3-C4 derivation. There were no statistically significant differences baseline to post-active neurofeedback training as compared to sham feedback training in primary outcome measures assessing change in dyskinesia severity, nor in secondary outcome measures assessing change in clinical features of PD. Nonsignificant trends were observed in subjects’ PD home diaries indicating a decrease in the severity of motor fluctuations. Baseline to post-training comparisons of secondary outcome measures in quantitative EEG analysis showed significant interaction effects within and between frontal and posterior regions, accompanied by decreases in 25–30 Hz (high beta) relative power, cross spectral power and phase resets per second activity, and significant increases in 8–12 Hz (alpha) relative power, cross spectral power, and coherence activity. These results indicate that EEG biofeedback training can affect the spectral EEG topography of individuals with PD and LID and that training to increase 8–15 Hz activity and decrease 23–34 Hz activity may have been associated with a nonsignificant decrease in dyskinesia severity and an improved sense of well-being.

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The effects of neurofeedback training on the spectral topography of the electroencephalogram

Egner, Tobias, Zech, T. F., Gruzelier, J. H. (2004) · Clinical Neurophysiology

Objective: To investigate the impact of EEG frequency band biofeedback (neurofeedback) training on spectral EEG topography, which is presumed to mediate cognitive-behavioural training effects. In order to assess the effect of commonly applied neurofeedback protocols on spectral EEG composition, two studies involving healthy participants were carried out. Methods: In Experiment 1, subjects were trained on low beta (12–15 Hz), beta1 (15–18 Hz), and alpha/theta (8–11 Hz/5–8 Hz) protocols, with spectral resting EEG assessed before and after training. The specific associations between learning indices of each individual training protocol and changes in absolute and relative spectral EEG topography was assessed by means of partial correlation analyses. Results of Experiment 1 served to generate hypotheses for Experiment 2, where subjects were randomly allocated to independent groups of low beta, beta1, and alpha/theta training. Spectral resting EEG measures were contrasted prior and subsequent to training within each group. Results: Only few associations between particular protocols and spectral EEG changes were found to be consistent across the two studies, and these did not correspond to expectations based on the operant contingencies trained. Low-beta training was found to be somewhat associated with reduced post-training low-beta activity, while more reliably, alpha/theta training was associated with reduced relative frontal beta band activity. Conclusions: The results document that neurofeedback training of frequency components does affect spectral EEG topography in healthy subjects, but that these effects do not necessarily correspond to either the frequencies or the scalp locations addressed by the training contingencies. The association between alpha/theta training and replicable reductions in frontal beta activity constitutes novel empirical neurophysiological evidence supporting inter alia the training's purported role in reducing agitation and anxiety. Significance: These results underline the complexity of the neural dynamics involved EEG self-regulation and emphasize the need for empirical validation of predictable neurophysiological outcomes of training EEG biofeedback protocols.

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