scholarly journals Transcranial photobiomodulation and thermal stimulation induce distinct topographies of EEG alpha and beta power changes in healthy humans

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xinlong Wang ◽  
Hashini Wanniarachchi ◽  
Anqi Wu ◽  
F. Gonzalez-Lima ◽  
Hanli Liu
Keyword(s):  
Thermal Stimulation ◽  
False Discovery Rate Correction ◽  
Healthy Humans ◽  
False Discovery ◽  
Power Spectral ◽  
Beta Power ◽  
Power Spectral Densities ◽  
Power Change ◽  
Eeg Power ◽  
Eeg Alpha

AbstractOur recent study demonstrated that prefrontal transcranial photobiomodulation (tPBM) with 1064-nm laser enables significant changes in EEG rhythms, but these changes might result from the laser-induced heat rather than tPBM. This study hypothesized that tPBM-induced and heat-induced alterations in EEG power topography were significantly distinct. We performed two sets of measurements from two separate groups of healthy humans under tPBM (n = 46) and thermal stimulation (thermo_stim; n = 11) conditions. Each group participated in the study twice under true and respective sham stimulation with concurrent recordings of 64-channel EEG before, during, and after 8-min tPBM at 1064 nm or thermo_stim with temperature of 33–41 °C, respectively. After data preprocessing, EEG power spectral densities (PSD) per channel per subject were quantified and normalized by respective baseline PSD to remove the power-law effect. At the group level for each group, percent changes of EEG powers per channel were statistically compared between (1) tPBM vs light-stimulation sham, (2) thermo_stim vs heat-stimulation sham, and (3) tPBM vs thermo_stim after sham exclusion at five frequency bands using the non-parametric permutation tests. By performing the false discovery rate correction for multi-channel comparisons, we showed by EEG power change topographies that (1) tPBM significantly increased EEG alpha and beta powers, (2) the thermal stimulation created opposite effects on EEG power topographic patterns, and (3) tPBM and thermal stimulations induced significantly different topographies of changes in EEG alpha and beta power. Overall, this study provided evidence to support our hypothesis, showing that the laser-induced heat on the human forehead is not a mechanistic source causing increases in EEG power during and after tPBM.

scholarly journals Sleep EEG characteristics associated with total sleep time misperception in young adults

2021 ◽  
Author(s):  
Biyun Xu ◽  
Qinghao Cai ◽  
Runru Mai ◽  
Hailong Liang ◽  
Jiayu Huang ◽  
...  
Keyword(s):  
Young Adults ◽  
Spectral Analysis ◽  
Total Sleep Time ◽  
Central Area ◽  
Power Spectral Analysis ◽  
Sleep Time ◽  
Frontal Area ◽  
Power Spectral ◽  
Beta Power ◽  
Eeg Power

Abstract Backgroud: Power spectral analysis (PSA) is one of the most commonly-used EEG markers of cortical hyperarousal which help to understand subjective-objective sleep discrepancy (SOD). Age is associated with decreased sleep EEG activity. Currently, PSA of young adults are limited. Thus, this study aimed to examine the correlation of spectral EEG power with total sleep time misperception in young patients. Methods : Forty-seven young adults were recruited and underwent a polysomnography recording in a sleep laboratory. The clinical records and self-report questionnaires of all patients were collected, who were categorized into the GS (n=10), insomnias with a low mismatch (IWLM, n=19) and participants with a high mismatch (IWHM, n=18) subgroups. Power spectral analysis was performed during the first 6 hours of sleep. Results : The IWLM group showed increased absolute beta power in central-frontal area and relative beta power in frontal areas compared to the GS group. In addition, IWHM patients exhibited higher absolute and relative beta power in the central area compared to the GS group. The absolute and relative beta/delta ratios in frontal area in the IWHM and IWLM groups were higher than those in the GS group. The IWHM group also showed higher absolute and relative beta/delta ratios in the central area compared with the GS group. No significant difference in the above parameters was observed between the IWHM and IWLM groups. Moreover, the SOD of TST was negatively correlated with the relative delta power (r=0.289, p=0.049), beta power (r=0.373, p=0.010), beta/delta ratio(r= 0.314, p=0.032), and the absolute beta/delta ratio (r=0.314, p=0.032) in central area. Conclusions: Young IWHM and IWLM patients showed increased beta EEG power compared to GS, suggesting that there exists increased cortical activity in these patients. Also, the beta/delta ratio was negatively correlated with the SOD in patients with IWHM and IWLM.

scholarly journals Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 443
Author(s):  
Hongbo Liang ◽  
Shota Maedono ◽  
Yingxin Yu ◽  
Chang Liu ◽  
Naoya Ueda ◽  
...  
Keyword(s):  
Training Session ◽  
Training System ◽  
Eeg Signals ◽  
Shoulder Joints ◽  
Power Spectral ◽  
Training Stage ◽  
Beta Power ◽  
Eeg Changes ◽  
Machine Interface ◽  
Flexion And Extension

Electroencephalography neurofeedback (EEG-NFB) training can induce changes in the power of targeted EEG bands. The objective of this study is to enhance and evaluate the specific changes of EEG power spectral density that the brain-machine interface (BMI) users can reliably generate for power augmentation through EEG-NFB training. First, we constructed an EEG-NFB training system for power augmentation. Then, three subjects were assigned to three NFB training stages, based on a 6-day consecutive training session as one stage. The subjects received real-time feedback from their EEG signals by a robotic arm while conducting flexion and extension movement with their elbow and shoulder joints, respectively. EEG signals were compared with each NFB training stage. The training results showed that EEG beta (12–40 Hz) power increased after the NFB training for both the elbow and the shoulder joints’ movements. EEG beta power showed sustained improvements during the 3-stage training, which revealed that even the short-term training could improve EEG signals significantly. Moreover, the training effect of the shoulder joints was more obvious than that of the elbow joints. These results suggest that NFB training can improve EEG signals and clarify the specific EEG changes during the movement. Our results may even provide insights into how the neural effects of NFB can be better applied to the BMI power augmentation system and improve the performance of healthy individuals.

Prefrontal Cortex Acetylcholine Release, EEG Slow Waves, and Spindles Are Modulated by M2 Autoreceptors in C57BL/6J Mouse

2002 ◽  
Vol 87 (6) ◽  
pp. 2817-2822 ◽  
Author(s):  
Christopher L. Douglas ◽  
Helen A. Baghdoyan ◽  
Ralph Lydic
Keyword(s):  
Prefrontal Cortex ◽  
Slow Wave ◽  
Cortical Activation ◽  
Mouse Strains ◽  
Potential Contribution ◽  
Ach Release ◽  
Power Spectral ◽  
Eeg Data ◽  
Muscarinic Cholinergic ◽  
Eeg Power

Recent evidence suggests that muscarinic cholinergic receptors of the M2 subtype serve as autoreceptors modulating acetylcholine (ACh) release in prefrontal cortex. The potential contribution of M2 autoreceptors to excitability control of prefrontal cortex has not been investigated. The present study tested the hypothesis that M2 autoreceptors contribute to activation of the cortical electroencephalogram (EEG) in C57BL/6J (B6) mouse. This hypothesis was evaluated using microdialysis delivery of the muscarinic antagonist AF-DX116 (3 nM) while simultaneously quantifying ACh release in prefrontal cortex, number of 7- to 14-Hz EEG spindles, and EEG power spectral density. Mean ACh release in prefrontal cortex was significantly increased ( P < 0.0002) by AF-DX116. The number of 7- to 14-Hz EEG spindles caused by halothane anesthesia was significantly decreased ( P < 0.0001) by dialysis delivery of AF-DX116 to prefrontal cortex. The cholinergically induced cortical activation was characterized by a significant ( P < 0.05) decrease in slow-wave EEG power. Together, these neurochemical and EEG data support the conclusion that M2 autoreceptor enhancement of ACh release in prefrontal cortex activates EEG in contralateral prefrontal cortex of B6 mouse. EEG slow-wave activity varies across mouse strains, and the results encourage comparative phenotyping of cortical ACh release and EEG in additional mouse models.

Analysis of power spectral densities of electrocardiograms

1971 ◽  
Vol 12 (1-2) ◽  
pp. 41-51 ◽  
Author(s):  
Vrudhula K. Murthy ◽  
L. Julian Haywood ◽  
John Richardson ◽  
Robert Kalaba ◽  
Steven Salzberg ◽  
...  
Keyword(s):  
Spectral Densities ◽  
Power Spectral ◽  
Power Spectral Densities

scholarly journals Delta and Theta waves in Super Consciousness Meditation.

2020 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Average Power ◽  
Spectral Densities ◽  
Theta Wave ◽  
Convolutional Networks ◽  
Theta Waves ◽  
Power Spectral ◽  
Power Spectral Densities ◽  
Lyapunov Coefficient ◽  
Fmri Time Series ◽  
Power Densities

Study on Kundalini Meditation of Super-conscious Meditation of the Himalayan Tradition and Sahaja Meditation, to determine the average power spectral densities and power ratios of TP9, AF7, AF8, and TP10, electrodes and two ear electrodes on a Muse Headset.These parameters are used to create quantitative criteria to indicate degree of meditation and to create a trigger for bird chirp events.We find an increase in Delta and Theta wave power densities, in the deep meditation state as compared to the initiation and restful states. keywords: Kundalini, super consciousness, neurosky, muse, chakra based meditation, alpha to beta ratio, delta to beta ratio, power spectral densities, differential power spectral densities, fMRi, time series, iD convolutional networks. Lyapunov coefficient

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