Aim Subjective memory complaint (SMC) is a preclinical Alzheimer’s manifestation, defined as self-reported memory impairment without objective signs in older individuals, particularly women. Blue-green light therapy has been shown to improve cognitive decline and affective deterioration. However, it remains unclear whether blue-green light affects the perfusional and structural-functional coupling of light-sensitive neural pathways in individuals with SMC.Methods In this study, 13 females with SMC underwent a blue-green light intervention. Changes in cerebral blood flow (CBF), structural-functional connectivity bandwidth, and depressive symptom scores were calculated, followed by a moderating analysis.Results We found that the alteration of CBF after light intervention showed a significant moderation effect on the relationship between the structural-functional coupling characteristics and depressive symptoms. In the right ventral tegmental area (VTA)-right lobule III of cerebellar hemisphere (CER3) edge (ΔCBF in VTA: ΔF = 13.625, p = 0.008; ΔCBF in CER3: ΔF = 23.584, p = 0.002), the intralaminar of thalamus (tIL)-VTA edge (ΔCBF in tIL: ΔF = 22.768, p = 0.002) and the left pulvinar lateral of thalamus (tPuL)-VTA edge (ΔCBF in tIL: ΔF = 11.835, p = 0.011), significant moderation effects of ΔCBF were found.Conclusion Our findings suggested that alterations of CBF might be critical modulating factors, interacting with the structural-functional coupling characteristics of light-sensitive pathways and ultimately regulating depressive symptoms. The current study may provide new insight regarding the physiological mechanisms underlying light-regulated depressive symptoms in older women with SMC.

IntroductionSubjective cognitive decline (SCD) and mild cognitive impairment (MCI) are stages 2 and 3, respectively, of the Alzheimer’s continuum. The Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-cog’s) ten-words recall test is a validated method for the early detection of cognitive impairment in Alzheimer’s disease. However, limited studies have investigated its ability to differentiate between SCD and MCI.Methods203 participants with SCD and 62 participants with MCI underwent multiple neuropsychological assessments. The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment-Basic (MOCA-B) served as brief global cognition tests. A binary logistic regression model was used to analyze the potential factors affecting MCI. The accuracy of the ten-words recall test was assessed using the area under the receiver operating characteristic (ROC) and the area under the curve (AUC).ResultsThe neuropsychological assessment revealed significant differences in the ten-words recall test scores between the SCD (median age 61 years; 70.44% female) and MCI (median age 64 years; 61.29% female) groups (p < 0.001), with the MCI group scoring the highest. Using a cut-off value of 3.15 for the ten-words recall test, sensitivity for distinguishing MCI from SCD reached 87%, while specificity stood at 61% (AUC 0.777, p < 0.001). DeLong’s test indicated no statistically significant difference in the ten-words recall test’s ability to distinguish between SCD and MCI compared to the total score of ADAS-Cog (AUC 0.833, p) and MMSE (AUC 0.784, p > 0.05). However, a significant difference was observed when compared to MoCA-B (AUC 0.973, p < 0.001). In the population with an education level of ≤ 9 years, the optimal cut-off value for the ten-words recall test was 3.15, yielding a sensitivity of 91% and a specificity of 45% (AUC = 0.674, p = 0.030). In the population with an education level > 9 years, the optimal cut-off value was 3.63, resulting in a sensitivity of 79% and a specificity of 71% (AUC = 0.785, p < 0.001).DiscussionThe ten-words recall test from the ADAS-cog may detect MCI early owing to its simplicity and quick administration. It is an effective and convenient tool for rapidly identifying mild cognitive impairment.

BACKGROUND:Although there has been much neurobiological research on major depressive disorder, research on the neurological function of depressive symptoms (DS) or subclinical depression is still scarce, especially in older women with DS.OBJECTIVES:Resting-state functional magnetic resonance imaging (rs-fMRI) was used to compare functional connectivity (FC) between the cerebellum and cerebral in older women with DS and normal controls (NC), to explore unique changes in cerebellar FC in older women with DS.METHODS:In all, 16 older women with DS and 17 NC were recruited. All subjects completed rs-fMRI. The 26 sub-regions of the cerebellum divided by the AAL3 map were used as regions of interest (ROI) to analyze the difference in FC strength of cerebellar seeds from other cerebral regions between the two groups. Finally, partial correlation analysis between abnormal FC strength and Geriatric Depression Scale (GDS) score and Reminiscence Functions Scale (RFS) score in the DS group.RESULTS:Compared with NC group, the DS group showed significantly reduced FC between Crus I, II and the left frontoparietal region, and reduced FC between Crus I and the left temporal gyrus. Reduced FC between right insula (INS), right rolandic operculum (ROL), right precentral gyrus (PreCG) and the Lobule IX, X. Moreover, the negative FC between Crus I, II, Lobule IX and visual regions was reduced in the DS group. The DS group correlation analysis showed a positive correlation between the left Crus I and the right cuneus (CUN) FC and GDS. In addition, the abnormal FC strength correlated with the scores in different dimensions of the RFS, such as the negative FC between the Crus I and the left middle temporal gyrus (MTG) was positively associated with intimacy maintenance, and so on.CONCLUSION:Older women with DS have anomalous FC between the cerebellum and several regions of the cerebrum, which may be related to the neuropathophysiological mechanism of DS in the DS group.

Purpose Action Real-Time Strategy Games (ART SGs) is a prominent component of lifestyles and offers an ecological venue to investigate brain functions. Anxiety is an adaptive emotion and may exert its wide influence on brain functions. However, little is known about the potential interaction effects of trait anxiety and ART SG exper ence on brain functions.Materials and methods In this study, EEG and behavioral data of 215 League of Legends (LOL) video game players were collected. And then, two-way analysis of variance (ANOVA) were conducted on relative power indices, and relations between power indices and game performance scores were calculated using Spearman's correlation.Results Results showed that (a) gamma (resting and game play states) and beta (game play state) powers of high-level ART SG players were greater than those of low-level players in the high-Trait Anxiety Inventory (TAI) score group (p<0.05); (b) during the game play state, the delta power of highlevel players was lower than that of the low-level players in the high-TAI score group (p<0.05); and (c) game performance scores were positively correlated with gamma powers.Conclusions These findings indicated that brain functions may be influenced by interactions of the ART SG experience and trait anxiety levels, and provided new insights into the potential mechanisms of brainapparatus conversation.

Ecological compensation is an effective measure to settle the conflicts between regional ecological protection and economic development; however, unequal patterns and impaired ecological benefits have been taking effects on the efficiency of eco-compensation worldwide. On the basis of the gross value of terrestrial ecosystems, the ecological profit-and-loss values have been identified, and the eco-compensation priority sequence has been calculated, while the ecological sensitivity has been evaluated. Four indicators of the spatial selection model have been conducted to reflect ecological benefits, ecological profit and loss, ecological sensitivity, and financial payment capacity, while the eco-compensation priorities have been classified by the K -means clustering. As for the results, Chun’an County with the highest priority and located in the low mountainous hills of the western Zhejiang area has been shown as the key compensated zone. The priority compensated zone has been concentrated in the mountainous hills of the western and southern Zhejiang and the headwaters of rivers in central Zhejiang. The secondary compensated zone has been distributed in the coastal islands of eastern Zhejiang. The potential compensated zone has been located in the northern plains and the central and southeastern areas of Zhejiang. It has been shown that the ecological benefits and the gross ecosystem product of various regions would have a direct impact on the evaluation results. A comprehensive index system would be needed to facilitate the allocation of funds to areas with important ecosystem services, ecological sensitivity, and high ecological benefits. The findings of the performed study could contribute to improving the spatial selection method of eco-compensation.

Autism spectrum disorder (ASD) is associated with the impaired integrating and segregating of related information that is expanded within the large-scale brain network. The varying ASD symptom severities have been explored, relying on their behaviors and related brain activity, but how to effectively predict ASD symptom severity needs further exploration. In this study, we aim to investigate whether the ASD symptom severity could be predicted with electroencephalography (EEG) metrics. Based on a publicly available dataset, the EEG brain networks were constructed, and four types of EEG metrics were calculated. Then, we statistically compared the brain network differences among ASD children with varying severities, i.e., high/low autism diagnostic observation schedule (ADOS) scores, as well as with the typically developing (TD) children. Thereafter, the EEG metrics were utilized to validate whether they could facilitate the prediction of the ASD symptom severity. The results demonstrated that both high- and low-scoring ASD children showed the decreased long-range frontal-occipital connectivity, increased anterior frontal connectivity and altered network properties. Furthermore, we found that the four types of EEG metrics are significantly correlated with the ADOS scores, and their combination can serve as the features to effectively predict the ASD symptom severity. The current findings will expand our knowledge of network dysfunction in ASD children and provide new EEG metrics for predicting the symptom severity.

Non-small cell lung cancer (NSCLC) accounts for more than 85% of all lung cancer cases, and chemotherapy-related brain changes (known as "chemobrain") in NSCLC patients were found in previous studies. However, the effects of platinum-based chemotherapy on brain structural networks are still unclear. Structural magnetic resonance imaging (sMRI) data were collected from 32 NSCLC patients following platinum-based chemotherapy, 36 NSCLC patients without chemotherapy, and 39 healthy controls. Clinical physiological indicators of patients were collected. Then, morphological similarity networks were constructed using MRI data, and topological properties were calculated using graph theory method. Differences between three groups were investigated using one-way ANOVA and two-sample t-test, and relations between topological properties and clinical physiological indicators were calculated. We found that degree and nodal efficiency in temporal-parietal networks were significantly reduced in NSCLC patients following platinum-based chemotherapy compared to healthy controls/patients without chemotherapy (F-test, p < 0.001; post hoc t-test, p < 0.01, Bonferroni corrected). These changes (p < 0.05) were positively correlated with clinical measures, including thrombocytes, granulocytes and hemoglobin, and were negatively correlated with measures of triglycerides and cholesterol levels. Network properties including clustering coefficient (F(2,104) = 41.435, p < 0.001), number of K-edges (F(2,104) = 40.304, p < 0.001), density of K-edges (F(2,104) = 40.304, p < 0.001), global efficiency (F(2,104) = 42.585, p < 0.001) and small-world (F(2,104) = 37.132, p < 0.001) were also significantly reduced (post hoc t-test, p < 0.01, Bonferroni corrected). These results indicate that platinum-based chemotherapy might cause cerebrovascular damage and clinical indicators' changes, which then cause the properties of morphological similarity networks' changes in the temporal and parietal lobes. This study may help us better understand the "chemobrain" in NSCLC patients.

Abstract To assess differences in cerebral cortex structure changes between lung cancer and healthy controls, and to analyze their correlation with cognitive function. 33 patients diagonosed with primary lung cancer have been enrolled in a prospective study. Before starting treatment and 2-4 months after recieving treatment, the patients underwent assessment of cognitive function, and activities of daily living, as well as a T1-weighted magnetic resonance imaging. The patients were compaired with 33 sex, age and education-matched healthy controls. Neuropsychological assessment, MoCA and Tail Making Test (TMT), shows that 78.8% of newly diagnosed lung cancer patients had mild to moderate cognitive impairment. patients' visual space and executive ability deteriorated after treatment (t=2.66, d=0.66, P=0.02). At baseline, some cerebral cortex of frontal, temporal and parietal lobes were atrophied, especially anterior central gyrus, rostral middle frontal cortex, superior temporal gyrus, middle temporal gyrus and temporal pole. After treatment, the rostral middle frontal cortex of the right brain was further atrophied (P＜0.005). There was a positively correlation between atrophied cortical thickness in newly diagnosed lung cancer patients and the score of part A of TMT. Temporal pole volume was positively correlated with naming (r=0.39, P=0.03) and language (r=0.43, P=0.02), while middle temporal gyrus was positively correlated with attention (r=0.39, P=0.03) and orientation (r=0.39, P=0.04). In summary, this study suggests that cancer itself and treatment lead to cognitive impairment, as well as cortical thickness and volume reduction, and cerebral cortex structure changes are correlated with cognitive function. Confirming the existence of cancer-related cognitive impairment and cancer-related brain injury.

Research on the utility of meditative and mind-body (MB) practices has increased dramatically in the last two decades and both have been suggested as useful adjuncts in coping with stressors associated with cancer survivorship. There exists little data on use among genitourinary (GU) cancer survivors. This study seeks to describe meditative and MB utilization among GU cancer survivors.Analysis of data from the 2012 and 2017 National Health Interview Survey was conducted. Patients aged 40 and older reporting a history of any cancer diagnosis (including 3 GU cancers) were included in the analysis. We explored questions about meditative and MB practices in the past 12 months. Complex Samples Logistic regression was performed to compare the relationship between cancer status and use of these practices.Self-reported meditative practices were more prevalent in 2017 (17%) than in 2012 (5%). Patients who self-reported a cancer diagnosis of any kind were significantly more likely to utilize meditative practices. Patients with kidney cancer were significantly more likely to meditate and trended towards higher MB utilization. In contrast, bladder cancer patients were less likely to meditate and use MB practices. Increases in meditation were greater than those seen for MB in all groups.Meditative and MB practices increased in prevalence between 2012 and 2017 with notable heterogeneity between cancer types. Given the potential benefit, more broad incorporation into survivorship programs may be warranted. Future work should explore the significance of this heterogeneity and the utility of these practices to patients with urologic malignancy.

To report the early results and technical details of in situ needle fenestration during thoracic endovascular aortic repair (TEVAR).Thirty-seven patients with thoracic aortic disease who underwent TEVAR with in situ needle fenestration in our department between February 2016 and April 2017 were included in this study. Their demographic information, clinical manifestations, periprocedural outcomes, and follow-up results were analyzed.In total, 96.4% of attempted fenestrations were successful (53/55). Fenestration of the left subclavian artery (LSA) was performed in 26 patients, fenestration of either the LSA or brachiocephalic trunk (BCT) plus the left common carotid artery (LCCA) was performed in six patients, and fenestration of the three supra-aortic branches was performed in five patients. In the three-fenestration group with five patients, the procedure was under the protection of a cardiopulmonary bypass. External iliac artery rupture occurred in one case. Cerebrovascular events occurred in three cases, and myocardial infarction occurred in one. One case had a branch stent graft stuck in the brachial artery. During a median follow-up of 21 months, two patients developed retrograde type A dissection, and one was subsequently treated with a stent graft and BCT fenestration. One case presented with numbness in the fingertips of the left hand, and computed tomography angiography (CTA) indicated stenosis of the branch stent in the LSA. CTA examination revealed no endoleaks or expansion of the aortic aneurysms in any of the patients.In situ needle fenestration of endografts in the aortic arch is technically feasible, yielding acceptable short-term results in a selected patient cohort. Further studies are needed to determine mid- and long-term outcomes before more widespread adoption.

Video gaming is one of the main recreational activities of children and adolescents. The American Psychiatric Association and the World Health Organization recently proposed diagnostic criteria for a pathological use of video games. The objective is to explore the perceptions of adolescents concerning pathological video game use.Qualitative study by semi structured individual interviews in the homes of adolescent gamers and non-gamers living in France. The sampling was theoretical. The analysis followed an inductive approach following the phases of thematic analysis. The researchers used triangulation. Collection was concluded when theoretical saturation had been reached.Seventeen adolescents aged 10–18 were interviewed between April 2018 and March 2019. The adolescents recognised that video games use can be pathological. Deleterious consequences to physical, mental, and social wellbeing associated with gaming were discussed. Mental health, family and social environments, and the type of game seemed to influence the transition from recreational to pathological video-game use. The adolescents agreed on the need to regulate their gaming, particularly through parental control and self-control.Risks and protective factors related to the types of video game, the adolescent, and the environment were identified. Parental support would help lower the risk of pathological gaming.

The past two decades have seen a particular focus towards high-frequency neural activity in the gamma band (>30 Hz). However, gamma band activity shares frequency range with unwanted artefacts from muscular activity.We developed a novel approach to remove muscle artefacts from neurophysiological data. We re-analysed existing EEG data that were decomposed by a blind source separation method (independent component analysis, ICA), which helped to better spatially and temporally separate single muscle spikes. We then applied an adapting algorithm that detects these singled-out muscle spikes.We obtained data almost free from muscle artefacts; we needed to remove significantly fewer artefact components from the ICA and we included more trials for the statistical analysis compared to standard ICA artefact removal. All pain-related cortical effects in the gamma band have been preserved, which underlines the high efficacy and precision of this algorithm.Our results show a significant improvement of data quality by preserving task-relevant gamma oscillations of presumed cortical origin. We were able to precisely detect, gauge, and carve out single muscle spikes from the time course of neurophysiological measures without perturbing cortical gamma.We advocate the application of the tool for studies investigating gamma activity that contain a rather low number of trials, as well as for data that are highly contaminated with muscle artefacts. This validation of our tool allows for the application on event-free continuous EEG, for which the artefact removal is more challenging.

动作类电子游戏是现代生活中一种重要的娱乐方式.近年的研究发现,动作类电子游戏能对玩家的多种认知功能(如选择性注意)产生影响,而这些认知能力通常与脑电beta节律有关.但是,传统的脑电节律分析主要关注时程上的平均节律强度,难以相对连续地刻画不同游戏水平人群在游戏过程中注意相关的beta节律变化.基于机器学习算法提出一种新的脑电beta节律频数分析方法.被试包含232位英雄联盟正常男性玩家,游戏水平按照游戏排位由低到高分为水平1～5(各组被试数分别为27,74,77,34和20人).被试先后在静息态和游戏状态下进行脑电数据采集.以每位被试游戏态beta节律与静息态beta节律的差值为特征,采用高斯核支持向量机对测试集中每位被试所有数据段进行预测分类(即高/低水平beta模式),然后计算每例被试中高水平beta模式的数据段占其所有数据段总数的比例.最后,采用单因素方差分析对各游戏水平被试的频数进行统计分析,并将其与游戏表现评分得分进行皮尔逊相关分析.结果表明,在游戏过程中,高水平beta3模式的频数在组间具有显著差异(P＜0.05,F=17.40),且随着游戏水平的升高呈现显著的上升趋势.基于聚类法(P＜0.05,F=6.57)与线性判别方法(P＜0.05,F=14.84)的频数分析结果也显示高水平beta3模式频数的组间差异显著.进一步,发现该频数与游戏表现评分呈正相关(P＜0.05,r=0.22).研究提示,不同游戏水平对注意相关脑功能的影响可以通过高水平beta模式频数法进行刻画.对于理解游戏对大脑的可塑性影响,所提出的方法提供了新的角度且具有较好的应用前景.

This paper describes the process of capturing an expert’s knowledge in the form of human understandable rules and then inserting them into a self-organizing map neural network. The Dynamic Cell Structure (DCS) is a form of self-organizing map used for many purposes, including classification and prediction. The DCS is a topology-preserving network that starts with no pre-structure, but assumes a structure once trained. This paper explores applying the DCS to analyse a social science data set that contains some of the many factors that may influence the mortality rate of a region.

目的:分析非小细胞肺癌(non-small cell lung cancer,NSCLC)患者颅脑核磁共振影像学(magnetic resonance imaging,MRI)改变,并探讨其相关的影响因素,为患者的脑健康预防及保护提供依据.方法:选取2018年7月至2019年3月四川省肿瘤医院45例初诊为NSCLC(癌症组)及39例健康对照组(正常组)颅脑MRI数据,利用Freesurfer软件对MRI数据进行基于大脑皮层表面形态学测量(surface-based morphometry,SBM)分析,统计对比癌症组与正常组的脑区变化,利用偏相关分析方法将血常规、血脂、肿瘤标志物与变化脑区行相关性分析.结果:与正常组相比,癌症组右脑中央后回及顶叶上回脑皮质体积明显萎缩(P<0.05),但其厚度、表面积、曲率、脑沟深度未见明显变化(P>0.05).此外,癌症组神经元特异性烯醇化酶(neuron-specific enolase,NSE)水平明显高于正常组[(27.02±33.16)ng/mL vs.(7.8±3.85)ng/mL,P<0.05],相关性分析结果显示中央后回体积萎缩与NSE呈负相关(r=-0.268,P=0.039),血常规、血脂、癌胚抗原(carcinoembryonic antigen,CEA)与中央后回体积萎缩无明显相关性.结论:NSCLC可导致右脑中央后回及顶叶上回体积缩小,且中央后回体积缩小与NSE呈显著负相关,提示NSE可作为预测NSCLC相关脑损伤的潜在预测分子.

In order to improve the accuracy of internal and external fault identification algorithms for T-connected transmission lines, a new method for fault identification of T-connected transmission line based on the probabilistic neural network and the angle of wave impedance is proposed. Extract the initial voltage and current phasor information of each traveling wave protection unit at a specific frequency based on the S transform, then calculate the included angle of the measured wave impedance at this frequency, and use this to form a T-connection transmission line fault characteristic sample set. The T-connection transmission line fault feature training sample set is input into the probabilistic neural network training and testing to establish a fault recognition model to identify the fault. Simulation results show that the proposed algorithm can accurately identify the internal and external faults of the T-connection transmission line and the specific branch roads outside the zone.

BACKGROUND:Given that there is no specific drug to treat Alzheimer's disease, non-pharmacologic interventions in people with subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI) are one of the most important treatment strategies. OBJECTIVE:To clarify the efficacy of blue-green (500 nm) light therapy on sleep, mood, and physiological parameters in patients with SCD and aMCI is an interesting avenue to explore. METHODS:This is a monocentric, randomized, and controlled trial that will last for 4 weeks. We will recruit 150 individuals aged 45 years or older from memory clinics and divide them into 5 groups: SCD treatment (n = 30), SCD control (n = 30), aMCI treatment (n = 30), aMCI control (n = 30), and a group of healthy adult subjects (n = 30) as a normal control (NC). RESULTS:The primary outcome is the change in subjective and objective cognitive performance between baseline and postintervention visits (4 weeks after baseline). Secondary outcomes include changes in performance assessing from baseline, postintervention to follow-up (3 months after the intervention), as well as sleep, mood, and physiological parameters (including blood, urine, electrophysiology, and neuroimaging biomarkers). CONCLUSION:This study aims to provide evidence of the impact of light therapy on subjective and objective cognitive performance in middle-aged and older adults with SCD or aMCI. In addition, we will identify possible neurophysiological mechanisms of action underlying light therapy. Overall, this trial will contribute to the establishment of light therapy in the prevention of Alzheimer's disease.

Coal beneficiation technology using gas-solid fluidized bed is a hot topic in recent decade, however its proper design and scale-up remain a great challenge due to the very complex gas-solid flow involved. To this end, an Eulerian-Lagrangian-Lagrangian (ELL) model (Zhang et al., Renewable Energy, 2019, 136:193-201) was used to intensify the coal beneficiation process, by systematically studying the effects of particle property, operating gas velocity, initial bed height, design of gas distributor and the size of fluidized bed. It was found that (i) coal beneficiation process can be improved significantly by using coarser beneficiated coal particles, adopting smaller initial bed height (or shallow fluidized bed) and/or operating at a properly selected gas velocity, all findings indicate that the process intensification can be realized via proper selection of operating conditions; (ii) the design of gas distributor was critical for process intensification and it should be designed properly to make the gas flow as uniform as possible; and (iii) there will be no scale-up effect, if ideally uniform gas flow at the inlet can be achieved. Present study demonstrates that computational fluid dynamics is a cost-effective tool for process intensification of gas-solid fluidized beds.

According to the neuronal recycling hypothesis, brain circuits can gain new functions through cultural learning, which are distinct from their evolutionarily established functions, creating competition between processes such as facial and identifiable character processing. In the present study, event-related potential (ERP) recording was used to examine electrophysiological correlates of identification levels of Chinese characters as well as the competition between facial and Chinese character processing after the characters were learnt. Twenty volunteers performed a lateralized face detection task, and N170 responses were recorded when the participants viewed only Chinese characters (identifiable or unidentifiable in Xiaozhuan font), or Chinese characters and faces concurrently. Viewing identifiable Chinese characters bilaterally elicited larger N170 amplitudes than viewing unidentifiable ones. N170 amplitudes in response to faces bilaterally declined when identifiable Chinese characters and faces were viewed concurrently as compared to viewing unidentifiable Chinese characters and faces concurrently. These results indicate that the N170 component is modulated by the observer's identification level of Chinese characters, and that identifiable Chinese characters compete with faces during early visual processing.

Goal: Idiopathic generalized epilepsy (IGE) represents generalized spike-wave discharges (GSWD) and distributed changes in thalamocortical circuit. The purpose of this study is to investigate how the ongoing alpha oscillation acts upon the local temporal dynamics and spatial hyperconnectivity in epilepsy. Methods: We evaluated the spatiotemporal regulation of alpha oscillations in epileptic state based on simultaneous EEG-fMRI recordings in 45 IGE patients. The alpha-BOLD temporal consistency, as well as the effect of alpha power windows on dynamic functional connectivity strength (dFCS) was analyzed. Then, stable synchronization networks during GSWD were constructed, and the spatial covariation with alpha-based network integration was investigated. Results: Increased temporal covariation was demonstrated between alpha power and BOLD fluctuations in thalamus and distributed cortical regions in IGE. High alpha power had inhibition effect on dFCS in healthy controls, while in epilepsy, high alpha windows arose along with the enhancement of dFCS in thalamus, caudate and some default mode network (DMN) regions. Moreover, synchronization networks in GSWD-before, GSWD-onset and GSWD-after stages were constructed, and the connectivity strength in prominent hub nodes (precuneus, thalamus) was associated with the spatially disturbed alpha-based network integration. Conclusion: The results indicated spatiotemporal regulation of alpha in epilepsy by means of the increased power and decreased coherence communication. It provided links between alpha rhythm and the altered temporal dynamics, as well as the hyperconnectivity in thalamus-default mode circuit. Significance: The combination between neural oscillations and epileptic representations may be of clinical importance in terms of seizure prediction and non-invasive interventions.