Absolute Beta Research Articles

Absolute beta power in exercisers and nonexercisers in preparation for the oddball task.

High levels of physical conditioning are associated with improvements in cognitive performance. In this sense, electroencephalographic (ECG) correlates are used to investigate the enhancing role of physical exercise on executive functions. Oscillations in the β frequency range are proposed to be evident during sensorimotor activity. To investigate the ECG changes influenced by aerobic and resistance exercises performed in an attention task by analyzing the differences in absolute β power in the prefrontal and frontal regions before, during, and after the oddball paradigm in practitioners and nonpractitioners of physical exercise. There were 15 physical activity practitioners (aged 27 ± 4.71) and 15 nonpractitioners (age 28 ± 1.50) recruited. A two-way analysis of variance (ANOVA) was implemented to observe the main effect and the interaction between groups and moments (rest 1, pre-stimulus, and rest 2). An interaction between group and moment factors was observed for Fp1 (p < 0.001); Fp2 (p = 0.001); F7 (p < 0.001); F8 (p < 0.001); F3 (p < 0.001); Fz (p < 0.001); and F4 (p < 0.001). Electrophysiological findings clarified exercisers' specificity and neural efficiency in each prefrontal and frontal subarea. Our findings lend support to the current understanding of the cognitive processes underlying physical exercise and provide new evidence on the relationship between exercise and cortical activity.

Age-related changes in brain oscillatory patterns during an n-back task in children and adolescents

The development of brain oscillatory responses and their possible role in the working memory (WM) performance of children, adolescents and young adults was investigated. A set of 0- and 1-back tasks with letter stimuli were administered to a final sample of 131 subjects (between 6 and 20 years of age). A decrease in response times (RTs) and an increase of the sensitivity index d-prime (d′) were seen with increased age. RTs increased and d′ decreased with load, indicating higher difficulty for higher loads. Event-related synchronization (ERS) and event-related desynchronization (ERD) were obtained by the convolution of Morlet wavelets on the recorded EEG. Statistical analyses were performed of the absolute and relative power of brain oscillations defined by topography, frequency and latency. Posterior alpha and beta ERD, and frontocentral theta ERS, were induced by the stimuli presented during the n-back task. While relative theta ERS increased with age, absolute theta ERS, absolute and relative alpha and, absolute beta ERD, decreased with age. Age-related improvement in behavioral performance was mediated by relative theta. Alpha and beta ERD were more pronounced for the most difficult task (1-back) and for the target condition. Globally, there was high consistency of the effects of target type and task load across development. Theta ERS maturation is a crucial step for improving WM performance during development, while alpha and beta ERD maturation seem to be less critical for behavioral performance improvement with age, possibly due to a sufficient level of alpha-beta ERD for good performance in young children.

Advancing Green TFP Calculation: A Novel Spatiotemporal Econometric Solow Residual Method and Its Application to China’s Urban Industrial Sectors

The Solow residual method, traditionally pivotal for calculating total factor productivity (TFP), is typically not applied to green TFP calculations due to its exclusion of undesired outputs. Diverging from traditional approaches and other frontier methodologies such as Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA), this paper integrates undesired outputs and three types of spatial spillover effects into the conventional Solow framework, thereby creating a new spatiotemporal econometric Solow residual method (STE-SRM). Utilizing this novel method, the study computes the industrial green TFPs for 280 Chinese cities from 2003 to 2019, recalculates these TFPs using DEA-SBM and Bayesian SFA for the same cities and periods, and assesses the accuracy of the STE-SRM-derived TFPs through comparative analysis. Additionally, the paper explores the statistical properties of China’s urban industrial green TFPs as derived from the STE-SRM, employing Dagum’s Gini coefficient and spatial convergence analyses. The findings first indicate that by incorporating undesired outputs and spatial spillover into the Solow residual method, green TFPs are computable in alignment with the traditional Solow logic, although the allocation of per capita inputs and undesired outputs hinges on selecting the optimal empirical production function. Second, China’s urban industrial green TFPs, calculated using the STE-SRM with the spatial Durbin model with mixed effects as the optimal model, show that cities like Huangshan, Fangchenggang, and Sanya have notably higher TFPs, whereas Jincheng, Datong, and Taiyuan display lower TFPs. Third, comparisons of China’s urban industrial green TFP calculations reveal that those derived from the STE-SRM demonstrate broader but more concentrated results, while Bayesian SFA results are narrower and less concentrated, and DEA-SBM findings sit between these extremes. Fourth, the study highlights significant spatial heterogeneity in China’s urban industrial green TFPs across different regions—eastern, central, western, and northeast China—with evident sigma convergence across the urban landscape, though absolute beta convergence is significant only in a limited subset of cities and time periods.

Assessing the Anxiolytic and Relaxation Effects of Cinnamomum camphora Essential Oil in University Students: A Comparative Study of EEG, Physiological Measures, and Psychological Responses.

Cinnamomum camphora is a commercially important tree species in China, and it's also a common native tree in the forests of southern China. However, literature on the impact of Cinnamomum camphora essential oil (CCEO) on human psychophysiological activity is scarce. Hence, the primary objective of this study was to examine the effect of exposure to CCEO on the functioning of the human autonomic nervous system, electroencephalographic (EEG) activity, and emotional state. Forty-three healthy university students participated. The data collected included heart rate (HR), blood pressure (BP), pulse rate, blood oxygen saturation (SpO2), electroencephalographic (EEG) activity, and the results of the Profile of Mood States (POMS) test. A drop in diastolic pressure (DBP) and pulse rate was also noticed after participants inhaled CCEO. Furthermore, EEG studies have demonstrated notable reductions in absolute beta (AB), absolute gamma (AG), absolute high beta (AHB), and relative gamma (RG) power spectra during exposure to CCEO. Conversely, the relative theta (RT) and power spectra values showed a significant increase. Additionally, the finding from POMS indicated that the fragrance evoked positive emotions and suppressed negative feelings. The results suggest that exposure to CCEO may promote mental and physical relaxation, facilitate cognitive processes such as memory and attention, and enhance mood states.

The Convergence of Economic Growth: Case Study of East Java

Economic growth is a parameter in achieving regional economic development, which describes an increase in the actual production capacity and the dynamics of the regional economy. This study aims to determine whether there is a yearly decrease in economic growth inequality (sigma convergence) or an acceleration of low economic growth to high economic growth (beta convergence) in East Java in 2016 – 2021. This study used secondary data. The analytical method used in this study is convergence and panel data regression analysis. The results showed that the dispersion of economic growth experienced a downward trend, indicating the occurrence of sigma convergence in East Java. Underdeveloped regions do not grow faster than developed regions, showing no absolute beta convergence in East Java. The HDI and Population Variables have not been able to accelerate convergence in East Java, indicating no conditional beta convergence in East Java.

Resting-state EEG patterns of preschool-aged boys with autism spectrum disorder: A pilot study

Defective cognition development during preschool years is believed to be linked with core symptoms of autism spectrum disorder (ASD). Neurophysiological research on mechanisms underly the cognitive disabilities of preschool-aged children with ASD is scarce currently. This pilot study aimed to compare the resting spectral EEG power of preschool-aged boys with ASD with their matched typically developing peers. Children in the ASD group demonstrated reduced central and posterior absolute delta (1–4 Hz) and enhanced frontal absolute beta (12–30 Hz) and gamma (30–45 Hz). The relative power of the ASD group was elevated in delta, theta (4–8 Hz), alpha (8–12 Hz), beta, and gamma bands as compared to the controls. The theta/beta ratio decreased in the frontal regions and enhanced at Cz and Pz electrodes in the ASD group. Correlations between the inhibition and metacognition indices of the behavior rating inventory of executive function-preschool version (BRIEF-P) and the theta/beta ratio for children of both groups were significant. In conclusion, the present study revealed atypical resting spectral characteristics of boys with ASD at preschool ages. Future large-sampled studies for the generalization of our findings and a better understanding of the relationships between brain oscillations and phenotypes of ASD are warranted.

Examining the neural mechanisms of rTMS: a naturalistic pilot study of acute and serial effects in pharmacoresistant depression.

Previous studies have demonstrated the effectiveness of therapeutic repetitive transcranial magnetic stimulation (rTMS) to treat pharmacoresistant depression. Nevertheless, these trials have primarily focused on the therapeutic and neurophysiological effects of rTMS following a long-term treatment course. Identifying brain-based biomarkers of early rTMS therapeutic response remains an important unanswered question. In this pilot study, we examined the effects of rTMS on individuals with pharmacoresistant depression using a graph-based method, called Functional Cortical Networks (FCN), and serial electroencephalography (EEG). We hypothesized that changes in brain activity would occur early in treatment course. A total of 15 patients with pharmacoresistant depression underwent five rTMS sessions (5Hz over the left dorsolateral prefrontal cortex, 120%MT, up to 4,000 pulses/session). Five participants received additional rTMS treatment, up to 40 sessions. Resting EEG activity was measured at baseline and following every five sessions, using 64-channel EEG, for 10 minutes with eyes closed. An FCN model was constructed using time-varying graphs and motif synchronization. The primary outcome was acute changes in weighted-node degree. Secondary outcomes included serial FFT-based power spectral analysis and changes in depressive symptoms measured by the 9-Item Patient Health Questionnaire (PHQ-9) and the 30-item Inventory of Depressive Symptoms-Self Report (IDS-SR). We found a significant acute effect over the left posterior area after five sessions, as evidenced by an increase in weighted-node degree of 37,824.59 (95% CI, 468.20 to 75,180.98) and a marginal enhancement in the left frontal region (t (14) = 2.0820, p = 0.056). One-way repeated measures ANOVA indicated a significant decrease in absolute beta power over the left prefrontal cortex (F (7, 28) = 2.37, p = 0.048) following ten rTMS sessions. Furthermore, a significant clinical improvement was observed following five rTMS sessions on both PHQ-9 (t (14) = 2.7093, p = 0.017) and IDS-SR (t (14) = 2.5278, p = 0.024) and progressed along the treatment course. Our findings suggest that FCN models and serial EEG may contribute to a deeper understanding of mechanisms underlying rTMS treatment. Additional research is required to investigate the acute and serial effects of rTMS in pharmacoresistant depression and assess whether early EEG changes could serve as predictors of therapeutic rTMS response.

Cranes among chickens: The general-attention‐grabbing effect of daily price limits in China's stock market

This paper examines the general-attention-grabbing effect of daily price limits in China's stock market. We show that stocks with large exposure to daily price limits attract more investor attention and have lower future returns. The exposure is measured empirically through the absolute beta with respect to the daily proportion of stocks that hit price limits. The general-attention-grabbing effect is not solely caused by stocks that recently hit price limits, is not subsumed by market volatility exposure, and does not reflect other stock market characteristics. Moreover, the effect is stronger among stocks that are heavily invested in by retail investors.

Spontaneous beta power, motor-related beta power and cortical thickness in major depressive disorder with psychomotor disturbance

IntroductionThe psychomotor disturbance is a common symptom in patients with major depressive disorder (MDD). The neurological mechanisms of psychomotor disturbance are intricate, involving alterations in the structure and function of motor-related regions. However, the relationship among changes in the spontaneous activity, motor-related activity, local cortical thickness, and psychomotor function remains unclear. MethodA total of 140 patients with MDD and 68 healthy controls performed a simple right-hand visuomotor task during magnetoencephalography (MEG) scanning. All patients were divided into two groups according to the presence of psychomotor slowing. Spontaneous beta power, movement-related beta desynchronization (MRBD), absolute beta power during movement and cortical characteristics in the bilateral primary motor cortex were compared using general linear models with the group as a fixed effect and age as a covariate. Finally, the moderated mediation model was tested to examine the relationship between brain metrics with group differences and psychomotor performance. ResultsThe patients with psychomotor slowing showed higher spontaneous beta power, movement-related beta desynchronization and absolute beta power during movement than patients without psychomotor slowing. Compared with the other two groups, significant decreases were found in cortical thickness of the left primary motor cortex in patients with psychomotor slowing. Our moderated mediation model showed that the increased spontaneous beta power indirectly affected impaired psychomotor performance by abnormal MRBD, and the indirect effects were moderated by cortical thickness. ConclusionThese results suggest that patients with MDD have aberrant cortical beta activity at rest and during movement, combined with abnormal cortical thickness, contributing to the psychomotor disturbance observed in this patient population.

Fiscal Decentralization and Per Capita Income Convergence between Regencies/Municipalities in Java Island

This study aims to analyze the existence of beta absolute convergence and beta conditional convergence, the impact of fiscal decentralization in terms of income and expenditure side on per capita income and the process of accelerating the per capita income convergence using 2015-2019 panel data of 113 regencies/municipalities obtained from Central Bureau of Statistics and the Directorate General for Fiscal Balance. Using fixed effect regression models, this study confirms that there are beta absolute convergence and beta conditional convergence in Java Island during 2015-2019. Other findings are Local Own Source Revenue and Fiscal Balance Fund have a significant positive effect on per capita income growth, while Personnel Expenditure and Capital Expenditure have a significant negative effect on per capita income growth. The results also show that all indicators of fiscal decentralization play significant role in accelerating the convergence of per capita income. Based on the results of estimates, Local Government Own Source Revenue should be optimized and quality of government spending have to be improved to foster income per capita convergence between regions in Java Island. Keywords: income per capita convergence, fiscal decentralization regional inequality, absolute beta convergence, conditional beta convergence

Comparison of autonomous sensory meridian response and binaural auditory beats effects on stress reduction: a pilot study

This study aimed to compare the effects of Autonomous sensory meridian response (ASMR) and binaural beat (BB) on stress reduction, and to determine whether ASMR and BB can induce changes in quantitative electroencephalography (QEEG). A double-blind randomized trial was conducted. Subjects with stress were recruited considering their perceived stress scale (PSS), Beck depression inventory-II (BDI-II), insomnia severity index (ISI), and state-trait anxiety inventory-state anxiety (STAI-S) scores. Subjects listened to ASMR or BB with music (8 Hz for daytime, 5 Hz for nighttime) for 15 min in daytime and 30 min before going to sleep for 3 weeks. QEEG was measured before and after the intervention. Seventy-six participants (57 female, mean age = 46.12 ± 12.01) finished the trial. After the intervention, PSS, BDI-II, ISI, STAI-S, and PSQI scores improved significantly in both groups. BDI-II and ISI mean scores were normalized in both groups after the intervention. Changes of absolute beta and high beta power in the ASMR group were larger than those in the BB group (p = 0.026, p = 0.040, respectively). Both ASMR and BB are equally effective in reducing stress levels. Unlike BB, ASMR can lead to an increase in beta and high beta waves associated with cortical arousal.

Regional Disparity and Social-Economic Convergence in New Autonomous Regions in Banten Province

As a new province after separating from West Java province, Banten province has experienced various economic growth among its regions, which can reveal disparity in development. Some regions have abundant resources, productive human resources, and access to good economic activities, while others do not. This condition causes inequality between regions. Regional convergence analysis measures not only economic variables but also social measures, such as the Human Development Index (HDI), poverty, and unemployment. This study aims to analyze sigma and absolute beta convergence, in addition to measuring the speed of the new autonomous region (Daerah Otonom Baru/DOB) economic growth convergence in Banten. The study method for regional disparity uses coefficient of variation and klassen typology. The klassen typology approach was used to identify sectors. The results of this study show that disparities occur in regions/cities within the province. The GDRP per capita, HDI, poverty, and unemployment in each region from years 2015-2019 were analyzed using the analytical methods σ-convergence and β-convergence. Regional convergence also occurs, but it is not clear enough to show the possible rate distribution convergence in the future. Socioeconomic factors, including unemployment and poverty, have become factors that impact the rate convergence in the province. Meanwhile, the human resource quality factor does not significantly impact. The new autonomous region (DOB) strategy uses a developing regional strategy, while the parent region has a lagging status. The implication of this research is that each region needs to develop sectors according to its characteristics.

Performance and Poverty Convergence in North Sumatra

North Sumatra is one of the growth centers in Indonesia. However, its number of poverty is one of the highest nationally. This study aimed to see the performance and prove whether there is a convergence of poverty in North Sumatra Province during the years 2011-2021. The analytical method used included quantitative descriptive analysis. Through the Klassen quadrant which was divided into two periods, it can be seen that some regions have moved quadrants and some other regions have moved towards quadrant lines at different levels. The situation showed serious inequality in some areas that were in quadrant 4. The results of the Williamson index showed that the degree of inequality in poverty levels between regions tended to decrease, although there has been an increase in several years of observation. Through the sigma convergence test, it was strongly indicated that there was a dispersion of poverty levels between regions towards one common ground. It has been further confirmed by the absolute beta convergence test. Real income per capita and RLS that included in the conditional convergence model have proven to accelerate the process of poverty convergence between regions in North Sumatra.

Differential resting-state neurophysiological activity associated with game usage patterns and genres in Internet gaming disorder.

We investigated differences in quantitative electroencephalogram (EEG) patterns associated with game usage patterns and genre among patients with Internet gaming disorder (IGD). Data from 140 participants (76 IGD patients and 64 healthy controls) were analysed. The IGD group was divided into subgroups based on game usage patterns (single game [SG] or multiple games [MGs]) and genre (multiplayer online battle arena, first-person shooter [FPS], or massively multiplayer online role-playing game [MMORPG; hereafter, MMG]). A resting-state, eye-closed quantitative EEG was recorded, and the absolute power and coherence of brain waves were analysed. IGD patients who played SGs showed increased beta activity compared with those who played MGs and controls. Increased absolute beta power was significantly associated with higher tendencies towards behavioural inhibition compared with controls. FPS gamers showed increased delta power in the frontal region compared with controls, which was related to the severity of IGD. Furthermore, decreased intrahemispheric coherence in the left frontoparietal region was observed in the MMG and FPS groups compared with controls. This decreased coherence was observed in the theta (MMG and FPS), delta (MMG), and beta (FPS) bands. These features were related to impairment in visuospatial working memory. Unique neurophysiological features related to preoccupation with an SG may be associated with the inhibition of behavioural changes. The present study suggests that the underlying neurophysiological networks in IGD differ according to game usage patterns and genre.

Convergence Analysis of Economic Growth in South Kalimantan

The objectives of this research are 1) testing and analyzing the level of sigma convergence in South Kalimantan; 2) testing and analyzing the convergent beta, including the absolute beta convergence and conditional beta convergence. This study uses static panel data covering 13 regencies/cities in South Kalimantan observed between 2010 and 2019. The data analysis uses the ordinary least square (OLS) regression model. The results showed a sigma convergence marked by a declining variation coefficient in each regency/city. The absolute beta and conditional beta also converged. Poor areas’ economic growth is faster than the prosperous regions so they catch up. There has to be close coordination between the central and local governments in formulating policies in handling government and private investment and improving workers’ productivity in the agricultural and mining sectors in South Kalimantan.

Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective

This paper mainly investigates the distribution patterns and convergence characteristics of per capita residential electricity consumption (PCREC) in urban and rural areas in China at the provincial level from 2000 to 2017. First, the results show significant positive spatial autocorrelation of PCREC in rural areas. In contrast, it presents insignificant spatial autocorrelation in urban areas. In addition, the distribution pattern of rural PCREC has changed dramatically, while the distribution pattern of urban areas changes more slowly than in rural areas. Second, the sigma convergence trends show that the discrete distribution level of PCREC in rural areas is higher than that in urban areas, and its sigma and absolute beta convergence rates are faster than that of urban areas. Further, the conditional variables for beta convergence indicate that population size, population density, and per capita GDP should be considered for the convergence mechanism of PCREC. In sum, our results reveal the reduction of the inequality of PCREC in China during the study period, especially in rural areas. In addition, convergence modeling indicates that PCREC converges to different equilibrium levels in urban and rural areas, which indicates the need for an urban-rural-tailored set of energy policies in China.

Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces

The measurement of green total factor productivity (GTFP) helps to improve environmental evaluation and to supervise environmental protection. This article establishes a system of assessment indicators (AIS) for GTFP and computes the GTFPs of 30 provinces of China from 2000–2019, using the evidence-based measure (EBM) model. Then, the spatial correlation between provincial GTFPs was analyzed and the convergence between them was discussed with spatial panel data. The main results are as follows: China faces a regional difference in GTFP. In general, GTFP descends stepwise from east to west. The 30 Chinese provinces vary significantly in GTFP. The high GTFP provinces are concentrated in the east, and the low GTFP ones mainly exist in the west. According to Global Moran’s I, an indicator of spatial correlation, China’s GTFPs bear prominent features of spatial clustering. The spatial clustering of China’s GTFPs has a significant impact on GTFP convergence. If this spatial effect is considered in traditional convergence models, the GTFP convergence rate can be measured more correctly. The provincial GTFPs show a significant absolute beta convergence, the rate of which reached 0.943% in the research period. Among the various impactors of GTFP, industrial structure and technical innovation significantly enhance GTFP convergence; opening-up and urbanization level significantly suppress GTFP convergence; environmental governance does not significantly affect GTFP convergence. Unlike the previous studies, this paper includes the spatial effect in traditional convergence models to obtain spatial convergence models. The GTFP convergence measured by our spatial convergence models was slower than that measured by the traditional model, suggesting that the spatial effect plays a significant role in GTFP convergence. In addition, this paper proves that the GTFP gap between Chinese provinces has narrowed gradually. This absolute convergence trend of GTFPs provides the key basis for the catch-up effect of the green economy. To improve the convergence of China’s provincial GTFPs, it is important to fully consider the varied effects of factors such as industrial structure, technical innovation, opening-up, urbanization, and environmental governance, and to formulate green development policies according to local conditions.

Timing of adoption is associated with electrophysiological brain activity and externalizing problems among children adopted internationally.

This study investigated middle childhood resting electroencephalography (EEG) and behavioral adjustment in 35 internationally adopted children removed from early caregiving adversity between 6 and 29 months of age. Older age of adoption was associated with more immature or atypical profiles of middle childhood cortical function, based on higher relative theta power (4-6Hz), lower relative alpha power (7-12Hz), lower peak alpha frequency, and lower absolute beta (13-20Hz) and gamma (21-50Hz) power. More immature or atypical EEG spectral power indirectly linked older age of adoption with increased risk for externalizing problems in middle childhood. The findings add to existing evidence linking duration of early adverse exposures with lasting effects on brain function and behavioral regulation even years after living in a stable adoptive family setting. Findings underscore the need to minimize and prevent children's exposures to early caregiving adversity, especially in the first years of life. They call for innovative interventions to support neurotypical development in internationally adopted children at elevated risk.

Age-related changes in the EEG in an eyes-open condition: II. Subtypes of AD/HD

This study investigated age-related changes in the EEG of subtypes of Attention-Deficit/Hyperactivity Disorder (AD/HD) compared with neurotypical controls, using an eyes-open resting condition. Two hundred and twenty five children between the ages of 5 and 16 years participated in this study. Groups consisted of AD/HD of the combined (AD/HDcom) and inattentive (AD/HDin) types, which were compared with controls for each of three age ranges: Young (5–8 years), Middle (9–12 years), and Old (13–16 years). The EEG was recorded and analyzed using AMLAB hardware and software, and Fourier transformed to provide estimates for total power, and absolute and relative power in the delta, theta, alpha and beta bands. Compared to controls, the AD/HD groups had globally increased relative theta. Regional differences were found for absolute and relative alpha and beta. Compared to AD/HDcom, AD/HDin had globally reduced total power, absolute and relative theta, and absolute alpha. Regional differences only were found for absolute and relative delta, absolute beta, and relative alpha. No simple interactions were found for diagnostic factors with age. These results indicate that maturational effects can be observed between subtypes of AD/HD and controls in the eyes-open condition with similarities to those reported in eyes-closed conditions, although substantial differences are apparent in the maturation of fast wave activity, primarily alpha. These results provide evidence of maturational differences between subtypes of AD/HD in eyes-open conditions, and provide additional support for the suggestion that subtypes of AD/HD differ in severity rather than the nature of underlying neurological impairment.

Sleep EEG characteristics associated with total sleep time misperception in young adults: an exploratory study

BackgroundPower spectral analysis (PSA) is one of the most commonly-used EEG markers of cortical hyperarousal, and can help to understand subjective–objective sleep discrepancy (SOD). Age is associated with decreased sleep EEG activity; however, the PSA of young adults is currently limited. Thus, this study aimed to examine the correlation of spectral EEG power with total sleep time (TST) misperception in young patients.MethodsForty-seven young adults were recruited and underwent a polysomnography recording in a sleep laboratory. Clinical records and self-report questionnaires of all patients were collected, and were used to categorize patients into a good sleeper (GS) group (n = 10), insomnia with a low mismatch group (IWLM, n = 19) or participant with a high mismatch group (IWHM, n = 18). PSA was applied to the first 6 h of sleep.ResultsIWHM patients exhibited a higher absolute power and relative beta/delta ratio in the frontal region compared to the GS group. No significant difference was observed between the IWLM and GS groups. No significant difference in the above parameters was observed between the IWHM and IWLM groups. Moreover, The SOD of TST was positively correlated with frontal absolute power and the relative beta/delta ratio (r = 0.363, P = 0.012; r = 0.363, P = 0.012), and absolute beta EEG spectral power (r = 0.313, P = 0.032) as well as the number of arousals.ConclusionsIncreased frontal beta/delta ratio EEG power was found in young patients with a high mismatch but not in those with a low mismatch, compared with good sleepers. This suggests that there exists increased cortical activity in IWHM patients. In addition, the frontal beta/delta ratio and the number of arousals was positively correlated with the SOD of TST.