resting electroencephalography
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2021 ◽  
pp. 155005942110573
Author(s):  
Jenna N. Bissonnette ◽  
T-Jay Anderson ◽  
Katelyn J. McKearney ◽  
Philip G. Tibbo ◽  
Derek J. Fisher

Individuals with schizophrenia use twice as much caffeine on average when compared to healthy controls. Knowing the high rates of consumption, and the potential negative effects of such, it is important we understand the cortical mechanisms that underlie caffeine use, and the consequences of caffeine use on neural circuits in this population. Using a randomized, placebo controlled, double-blind, repeated measures design, the current study examines caffeine's effects on resting electroencephalography (EEG) power in those who have been recently diagnosed with schizophrenia (SZ) compared to regular-using healthy controls (HC). Correlations between average caffeine consumption, withdrawal symptoms, drug related symptoms and clinical psychosis symptoms were measured and significant correlations with neurophysiological data were examined. Results showed caffeine had no effect on alpha asymmetry in the SZ group, although caffeine produced a more global effect on the reduction of alpha2 power in the SZ group. Further, those with more positive symptoms were found to have a greater reduction in alpha2 power following caffeine administration. Caffeine also reduced beta power during eyes closed and eyes open resting in HC, but only during eyes closed resting conditions in the SZ group. These findings provide a descriptive profile of the resting EEG state following caffeine administration in individuals with schizophrenia. The findings ultimately suggest caffeine does not affect alpha or beta power as readily in this population and a higher dose may be needed to achieve the desired effects, which may elucidate motivational factors for high caffeine use.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255424
Author(s):  
Andra Coldea ◽  
Stephanie Morand ◽  
Domenica Veniero ◽  
Monika Harvey ◽  
Gregor Thut

Transcranial alternating current stimulation (tACS) is a popular technique that has been used for manipulating brain oscillations and inferring causality regarding the brain-behaviour relationship. Although it is a promising tool, the variability of tACS results has raised questions regarding the robustness and reproducibility of its effects. Building on recent research using tACS to modulate visuospatial attention, we here attempted to replicate findings of lateralized parietal tACS at alpha frequency to induce a change in attention bias away from the contra- towards the ipsilateral visual hemifield. 40 healthy participants underwent tACS in two separate sessions where either 10 Hz tACS or sham was applied via a high-density montage over the left parietal cortex at 1.5 mA for 20 min, while performance was assessed in an endogenous attention task. Task and tACS parameters were chosen to match those of previous studies reporting positive effects. Unlike these studies, we did not observe lateralized parietal alpha tACS to affect attention deployment or visual processing across the hemifields as compared to sham. Likewise, additional resting electroencephalography immediately offline to tACS did not reveal any notable effects on individual alpha power or frequency. Our study emphasizes the need for more replication studies and systematic investigations of the factors that drive tACS effects.


Pain Medicine ◽  
2021 ◽  
Author(s):  
Gosuke Sato ◽  
Michihiro Osumi ◽  
Satoshi Nobusako ◽  
Shu Morioka

Abstract Objectives We examined whether transcranial direct current stimulation (tDCS) combined with aerobic exercise (AE) modulated the pressure pain threshold (PPT) and peak alpha frequency (PAF) measured via resting electroencephalography. Design Single-blind experimental study with a cross-over design. Setting Neuro Rehabilitation Research Center, Kio University Subjects Ten healthy controls participated in this study. Methods Three types of sessions, (i) tDCS, (ii) Sham tDCS/AE, and (iii) tDCS/AE, were tested in this investigation. Anodal stimulation (2 mA, 20 min) was applied over the left primary motor cortex. Each session was 20 min long. We used the PPT and short-form Profile of Mood States-Brief, as well as PAF measured via restingelectroencephalography, to investigate the effects of tDCS and AE. Heart rate and scores on the Borg scale were used to confirm exercise intensity. PAF was calculated in four regions of interest: frontal, central, parietal, and occipital areas. Results The change ratio of PPT increased during each session. The maximum change ratio of PPT were tDCS: 40.7%, Sham tDCS/AE: 51.5%, and tDCS/AE: 83.4%. change ratio of PPT was earlier and higher in the tDCS/AE trials compared with the other sessions. Negative mood was improved after session completion. Significant differences in PAF were found in the occipital area in the Sham tDCS/AE and tDCS/AE sessions. Conclusions The combined tDCS and AE intervention induced significant changes in PPT in a single session, with a PAF that was earlier and higher than those produced during the Sham tDCS/AE and tDCS sessions.


2020 ◽  
Vol 10 (11) ◽  
pp. 828
Author(s):  
Shao-Tsu Chen ◽  
Li-Chi Ku ◽  
Shaw-Ji Chen ◽  
Tsu-Wang Shen

Evaluating brain function through biosignals remains challenging. Quantitative electroencephalography (qEEG) outcomes have emerged as a potential intermediate biomarker for diagnostic clarification in psychological disorders. The Test of Variables of Attention (TOVA) was combined with qEEG to evaluate biomarkers such as absolute power, relative power, cordance, and approximate entropy from covariance matrix images to predict major depressive disorder (MDD). EEG data from 18 healthy control and 18 MDD patients were monitored during the resting state and TOVA. TOVA was found to provide aspects for the evaluation of MDD beyond resting electroencephalography. The results showed that the prefrontal qEEG theta cordance of the control and MDD groups were significantly different. For comparison, the changes in qEEG approximate entropy (ApEn) patterns observed during TOVA provided features to distinguish between participants with or without MDD. Moreover, ApEn scores during TOVA were a strong predictor of MDD, and the ApEn scores correlated with the Beck Depression Inventory (BDI) scores. Between-group differences in ApEn were more significant for the testing state than for the resting state. Our results provide further understanding for MDD treatment selection and response prediction during TOVA.


2020 ◽  
Vol 30 (12) ◽  
pp. 6069-6082 ◽  
Author(s):  
Andrew J Furman ◽  
Mariya Prokhorenko ◽  
Michael L Keaser ◽  
Jing Zhang ◽  
Shuo Chen ◽  
...  

Abstract Previous research has observed that the speed of alpha band oscillations (8–12 Hz range) recorded during resting electroencephalography is slowed in chronic pain patients. While this slowing may reflect pathological changes that occur during the chronification of pain, an alternative explanation is that healthy individuals with slower alpha oscillations are more sensitive to prolonged pain, and by extension, more susceptible to developing chronic pain. To test this hypothesis, we examined the relationship between the pain-free, resting alpha oscillation speed of healthy individuals and their sensitivity to two models of prolonged pain, Phasic Heat Pain and Capsaicin Heat Pain, at two visits separated by 8 weeks on average (n = 61 Visit 1, n = 46 Visit 2). We observed that the speed of an individual’s pain-free alpha oscillations was negatively correlated with sensitivity to both models and that this relationship was reliable across short (minutes) and long (weeks) timescales. Furthermore, the speed of pain-free alpha oscillations can successfully identify the most pain sensitive individuals, which we validated on data from a separate, independent study. These results suggest that alpha oscillation speed is a reliable biomarker of prolonged pain sensitivity with potential for prospectively identifying pain sensitivity in the clinic.


2019 ◽  
Vol 12 (2) ◽  
pp. 451-452
Author(s):  
L. Mulsant ◽  
A. Daskalakis ◽  
R. Zomorrodi ◽  
T. Rajji ◽  
D. Blumberger ◽  
...  

Neuroreport ◽  
2013 ◽  
Vol 24 (15) ◽  
pp. 827-830 ◽  
Author(s):  
Stephanie L. Simon-Dack ◽  
Thomas Holtgraves ◽  
Lindsay M. Marsh ◽  
Kelly L. Fogle

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