Abstract
Objective EEG long-range temporal correlations (LRTCs) are a significant for both human cognition and brain disorders, but beyond suppression by sensory disruption, there are little means for influencing them non-invasively. We hypothesized that LRTCs could be controlled by engaging intrinsic neuroregulation through closed-loop neurofeedback stimulation. Methods We used a closed-loop-stimulation paradigm where supra-threshold α-waves trigger visual flash stimuli while the subject performs the standard eyes-closed resting-state task. As a “sham” control condition, we applied similar stimulus sequences without the neurofeedback. Results Over three sessions, a significant difference in the LRTCs of α-band oscillations (U = 89, p < 0.028, Wilcoxon rank sum test) and their scalp topography (T = −2.92, p < 0.010, T-test) emerged between the neurofeedback and sham conditions so that the LRTCs were stronger during neurofeedback than sham. No changes (F = 0.16, p > 0.69, ANOVA test) in the scalp topography of α-band power were observed in either condition. Conclusions This study provides proof-of-concept for that EEG LRTCs, and hence critical brain dynamics, can be modulated with closed-loop stimulation in an automatic, involuntary fashion. We suggest that this modulation is mediated by an excitation–inhibition balance change achieved by the closed-loop neuroregulation. Significance Automatic LRTC modulation opens novel avenues for both examining the functional roles of brain criticality in healthy subjects and for developing novel therapeutic approaches for brain disorders associated with abnormal LRTCs.
Original language | English |
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Pages (from-to) | 2882-2889 |
Number of pages | 8 |
Journal | Clinical Neurophysiology |
Volume | 127 |
Issue number | 8 |
DOIs | |
Publication status | Published - 1 Aug 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Closed-loop stimulation
- Critical neuronal dynamics
- Electroencephalography
- Excitation–inhibition balance
- Long-range temporal correlations