scholarly journals Evaluating Acupuncture Point and Nonacupuncture Point Stimulation with EEG: A High-Frequency Power Spectrum Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Kwang-Ho Choi ◽  
O. Sang Kwon ◽  
Seong Jin Cho ◽  
Sanghun Lee ◽  
Suk-Yun Kang ◽  
...  
Keyword(s):  
Power Spectrum ◽  
High Frequency ◽  
Acupuncture Point ◽  
High Frequency Power ◽  
Beta Power ◽  
Gamma Power ◽  
Sensory Responses ◽  
High Beta ◽  
Frequency Power Spectrum ◽  
Frequency Power

To identify physical and sensory responses to acupuncture point stimulation (APS), nonacupuncture point stimulation (NAPS) and no stimulation (NS), changes in the high-frequency power spectrum before and after stimulation were evaluated with electroencephalography (EEG). A total of 37 healthy subjects received APS at the LI4 point, NAPS, or NS with their eyes closed. Background brain waves were measured before, during, and after stimulation using 8 channels. Changes in the power spectra of gamma waves and high beta waves before, during, and after stimulation were comparatively analyzed. After NAPS, absolute high beta power (AHBP), relative high beta power (RHBP), absolute gamma power (AGP), and relative gamma power (RGP) tended to increase in all channels. But no consistent notable changes were found for APS and NS. NAPS is believed to cause temporary reactions to stress, tension, and sensory responses of the human body, while APS responds stably compared to stimulation of other parts of the body.

scholarly journals Spectral fingerprints or spectral tilt? Evidence for distinct oscillatory signatures of memory formation

2018 ◽  
Author(s):  
Marie-Christin Fellner ◽  
Stephanie Gollwitzer ◽  
Stefan Rampp ◽  
Gernot Kreiselmeyr ◽  
Daniel Bush ◽  
...  
Keyword(s):  
Power Spectrum ◽  
High Frequency ◽  
Low Frequency ◽  
Brain Regions ◽  
Memory Formation ◽  
Memory Encoding ◽  
Frequency Bands ◽  
Theta Power ◽  
Gamma Power ◽  
Frequency Power

AbstractDecreases in low frequency power (2-30 Hz) alongside high frequency power increases (>40 Hz) have been demonstrated to predict successful memory formation. Parsimoniously this change in the frequency spectrum can be explained by one factor, a change in the tilt of the power spectrum (from steep to flat) indicating engaged brain regions. A competing view is that the change in the power spectrum contains several distinct brain oscillatory fingerprints, each serving different computations. Here, we contrast these two theories in a parallel MEG-intracranial EEG study where healthy participants and epilepsy patients, respectively, studied either familiar verbal material, or unfamiliar faces. We investigated whether modulations in specific frequency bands can be dissociated in time, space and by experimental manipulation. Both, MEG and iEEG data, show that decreases in alpha/beta power specifically predicted the encoding of words, but not faces, whereas increases in gamma power and decreases in theta power predicted memory formation irrespective of material. Critically, these different oscillatory signatures of memory encoding were evident in different brain regions. Moreover, high frequency gamma power increases occurred significantly earlier compared to low frequency theta power decreases. These results speak against a “spectral tilt” and demonstrate that brain oscillations in different frequency bands serve different functions for memory encoding.

A Novel Stacked Cell Layout for High Frequency Power Applications

2021 ◽  
pp. 1-1
Author(s):  
Ferdinando Costanzo ◽  
Anna Piacibello ◽  
Marco Pirola ◽  
Paolo Colantonio ◽  
Vittorio Camarchia ◽  
...  
Keyword(s):  
High Frequency ◽  
High Frequency Power ◽  
Frequency Power

scholarly journals Effect of short-term exposure to particulate air pollution on heart rate variability in normal-weight and obese adults

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Luyi Li ◽  
Dayu Hu ◽  
Wenlou Zhang ◽  
Liyan Cui ◽  
Xu Jia ◽  
...  
Keyword(s):  
Heart Rate ◽  
Air Pollution ◽  
Heart Rate Variability ◽  
High Frequency ◽  
Normal Weight ◽  
High Frequency Power ◽  
Short Term ◽  
Particulate Air Pollution ◽  
Short Term Exposure ◽  
Frequency Power

Abstract Background The adverse effects of particulate air pollution on heart rate variability (HRV) have been reported. However, it remains unclear whether they differ by the weight status as well as between wake and sleep. Methods A repeated-measure study was conducted in 97 young adults in Beijing, China, and they were classified by body mass index (BMI) as normal-weight (BMI, 18.5–24.0 kg/m2) and obese (BMI ≥ 28.0 kg/m2) groups. Personal exposures to fine particulate matter (PM2.5) and black carbon (BC) were measured with portable exposure monitors, and the ambient PM2.5/BC concentrations were obtained from the fixed monitoring sites near the subjects’ residences. HRV and heart rate (HR) were monitored by 24-h Holter electrocardiography. The study period was divided into waking and sleeping hours according to time-activity diaries. Linear mixed-effects models were used to investigate the effects of PM2.5/BC on HRV and HR in both groups during wake and sleep. Results The effects of short-term exposure to PM2.5/BC on HRV were more pronounced among obese participants. In the normal-weight group, the positive association between personal PM2.5/BC exposure and high-frequency power (HF) as well as the ratio of low-frequency power to high-frequency power (LF/HF) was observed during wakefulness. In the obese group, personal PM2.5/BC exposure was negatively associated with HF but positively associated with LF/HF during wakefulness, whereas it was negatively correlated to total power and standard deviation of all NN intervals (SDNN) during sleep. An interquartile range (IQR) increase in BC at 2-h moving average was associated with 37.64% (95% confidence interval [CI]: 25.03, 51.51%) increases in LF/HF during wakefulness and associated with 6.28% (95% CI: − 17.26, 6.15%) decreases in SDNN during sleep in obese individuals, and the interaction terms between BC and obesity in LF/HF and SDNN were both statistically significant (p <  0.05). The results also suggested that the effects of PM2.5/BC exposure on several HRV indices and HR differed in magnitude or direction between wake and sleep. Conclusions Short-term exposure to PM2.5/BC is associated with HRV and HR, especially in obese individuals. The circadian rhythm of HRV should be considered in future studies when HRV is applied. Graphical abstract

High-Performance GaN MOSHEMTs Fabricated With ALD Al2O3Dielectric and NBE Gate Recess Technology for High Frequency Power Applications

2017 ◽  
Vol 38 (6) ◽  
pp. 771-774 ◽  
Author(s):  
Yen-Ku Lin ◽  
Shuichi Noda ◽  
Chia-Ching Huang ◽  
Hsiao-Chieh Lo ◽  
Chia-Hsun Wu ◽  
...  
Keyword(s):  
High Frequency ◽  
High Performance ◽  
High Frequency Power ◽  
Gate Recess ◽  
Frequency Power
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