图形形状与空间位置知觉诱发脑电的相干性分析

利用128道高分辨率脑电测量技术及脑电相干处理技术,通过测量大脑对图形形状知觉（任务1）、图形形状和空间位置知觉（任务2）两种任务的事件相关电位,并基于电极数大致相同的原则,从枕叶至额叶把头表分成7个区,然后分析了枕叶与其它各区在不同频段的相干性.结果发现：在γ1频段（28～39Hz）,任务2时的平均相干系数值显著大于任务1时的相应值;同时还发现在枕叶与额叶间,任务2的相干系数更显著地大于任务1的相干系数.结合视觉的两条通路的理论,这一结果从相干性角度表明,背侧通道的参与强化了枕叶与额叶之间的信息沟通,而这种沟通主要在γ1频段.     

睡眠剥夺影响恐惧记忆巩固的认知神经机制:静息态低频波动振幅分析

恐惧是人类的基本情绪,在人类生存和适应中发挥着重要的作用.先前的研究表明,睡眠剥夺会对恐惧记忆巩固过程产生影响,然而睡眠剥夺影响恐惧记忆巩固的认知神经机制并不清楚.为此,本研究采用了功能性磁共振技术探究睡眠剥夺影响恐惧记忆巩固的认知神经基础.行为结果发现,相对于控制组,睡眠剥夺组在恐惧习得过程中有更大的主观恐惧和皮肤电反应;脑成像结果发现,恐惧记忆巩固中,睡眠剥夺组增强了杏仁核的活动,减弱了腹内侧前额叶的活动;进一步的相关分析表明,睡眠剥夺组杏仁核活动变化程度与个体恐惧习得效果呈现显著的正相关,而控制组腹内侧前额叶活动变化程度与个体恐惧习得效果呈现显著的正相关.这些结果表明,睡眠剥夺可能削弱了恐惧记忆巩固过程中腹内侧前额叶对杏仁核自上而下的调节能力.     

应用小波熵分析大鼠脑电信号的动态变化特性

应用小波熵（一种新的信号复杂度测量方法）分析大鼠在不同生理状态下脑电复杂度的动态时变特性。采用慢性埋植电极记录自由活动大鼠的皮层EEG,使用多分辨率小波变换将EEG信号分解为δ、θ、α和β四个分量,求得随时间变化的小波熵。结果表明：在清醒、慢波睡眠和快动眼睡眠三种生理状态下,EEG的小波熵之间存在显著差别,并且在不同时期其值与各个分解分量之间具有不同的关系,其中,慢波睡眠期小波熵还具有较明显的变化节律,反映了EEG微状态中慢波和纺锤波的互补性。由此可见,小波熵既能区别长时间段EEG复杂度之间的差别,又能反映EEG微状态的快速变化特性。     

完全睡眠剥夺对大脑注意网络冲突效应和脑电样本熵的影响*

目的: 本研究分析睡眠剥夺对个体选择性注意网络冲突效应和脑电样本熵的影响,探讨睡眠剥夺对大脑注意网络的影响。方法: 25名健康受试者参与36 h完全睡眠剥夺试验。试验于当天9:00开始,于次日21:00结束,试验采用自身前后对照设计。受试者在睡眠剥夺前后分别完成注意网络任务,同步采集受试者的脑电图。用脑电样本熵算法分析脑电图的delta、theta、alpha、beta和gamma频率段的脑电复杂度并对比各频段脑电样本熵在睡眠剥夺前、后的变化。结果: 同睡眠剥夺前比较,睡眠剥夺后与受试者的注意网络冲突效应密切相关的反应时显著下降(P＜0.01),正确率显著增加(P＜0.01)。脑电样本熵分析发现在beta频率段,与注意网络冲突控制相关的脑电样本熵值在睡眠剥夺后明显增大(P＜0.01)。其余脑电频率段脑电样本熵未发现显著差异。结论: 表明完全睡眠剥夺后大脑的注意网络冲突效应降低,表明睡眠剥夺后执行冲突控制能力的下降。     

小波相干分析及其在听觉与震动刺激事件相关电位处理中的应用

尝试将小波相干方法应用于事件相关电位实验的脑电信号分析中。实验分为三组：听觉任务、震动任务1和震动任务2。对12个受试者的实验数据进行40Hz左右的小波相干分析,计算了前额脑区与其他各脑区之间的相干性,发现震动任务的小波相干值大于听觉任务并有显著差异,且在不同的任务中,各脑区的小波相干值有其明显不同的分布特征,且随时间呈有规律的变化。分析体现了小波相干在短时脑电信号处理上的优势。     

基于奇异值第一主成分的睡眠脑电分期方法研究

目的:脑电信号含多种噪声和伪迹,信噪比较低,特征提取前必须进行复杂的预处理,严重影响睡眠分期的速度。鉴于此,本文提出一种基于奇异值第一主成分的睡眠脑电分期方法,该方法抗噪性能较强,可省去预处理过程,减少计算量,提高睡眠分期的效率。方法:对未经过预处理的睡眠脑电进行奇异系统分析,研究奇异谱曲线,提取奇异值第一主成分,探索其随睡眠状态变化的规律。并通过支持向量机利用奇异值第一主成分对睡眠分期。结果:奇异值第一主成分不仅能表征脑电信号主体,而且可以抑制噪声、降低维数。随着睡眠的深入,奇异值第一主成分的值逐渐增大,但在REM期处于S1期和S2期之间。经MIT-BIH睡眠数据库中5例同导联位置的脑电数据测试(仅1导脑电数据),睡眠脑电分期的准确率达到86.4%。结论:在未对脑电信号进行预处理的情况下,提取的睡眠脑电的奇异值第一主成分能有效表征睡眠状态,是一种有效的睡眠分期依据。本文运用提出的方法仅采用1导脑电数据,就能得到较为满意的睡眠分期结果。该方法有较强的分类性能,且抗噪能力强,不需要对脑电作复杂的预处理,计算量小,方法简单,很大程度上提高了睡眠分期的效率。     

基于独立元分析和联合小波熵检测多导联ECG信号的QRS

QRS波群的准确定位是ECG信号自动分析的基础。为提高QRS检测率,提出一种基于独立元分析（ICA）和联合小波熵（CWS）检测多导联ECG信号QRS的算法。ICA算法从滤波后的多导联ECG信号中分离出对应心室活动的独立元;然后对各独立元进行连续小波变换（CWT）,重构小波系数的相空间,结合相空间中的QRS信息对独立元排序;最后检测排序后独立元的CWS得到QRS信息。实验对St.Petersburg12导联心率失常数据库及64导联犬心外膜数据库测试,比较本文算法与单导联QRS检测算法和双导联QRS检测算法的性能。结果表明,该文算法的性能最好,检测准确率分别为99.98%和100%。     

阻塞性睡眠呼吸暂停的脑影像研究：来自静息态脑电和功能磁共振的证据

阻塞性睡眠呼吸暂停(obstructive sleep apnea, OSA)是一种常见的临床睡眠障碍,表现为上呼吸道在睡眠时反复阻塞,并导致睡眠片段化、间歇性低血氧等症状。本文回顾了针对OSA患者的静息态脑成像研究,包括静息态脑电(electroencephalography, EEG)和静息态功能磁共振成像(functional magnetic resonance imaging, fMRI)。在静息态EEG中,OSA主要表现为前额叶和中央区域δ波和θ波增加;而在静息态fMRI研究中,OSA患者在默认网络(default-mode network, DMN)、中央执行网络(central executive network, CEN)和突显网络(salience network, SN)等大尺度脑网络水平上存在改变。综合来自静息态EEG和静息态fMRI的研究,大量证据都共同指出OSA患者前额叶区域的活动异常,并且其异常活动强度与OSA严重程度相关,表明前额叶是OSA患者大脑功能受损的一个关键脑区。最后,本文从治疗效果、多模态数据采集、以及相关共病等方面对OSA未来研究方向进行了展望。     

丁苯酞对睡眠剥夺大鼠额叶小胶质细胞活化的影响*

目的: 探讨丁苯酞对慢性睡眠剥夺后大鼠脑部额叶小胶质细胞活化及炎症因子的影响。方法: 本实验共分为4组(n＝8):空白对照组、大平台对照组、慢性睡眠剥夺组、丁苯酞干预组。慢性睡眠剥夺组和丁苯酞干预组采用改良多平台睡眠剥夺法建立大鼠慢性睡眠剥夺模型,对大鼠进行每日18 h,连续28 d的睡眠剥夺。在这28 d内,空白对照组大鼠不进行睡眠干预,大平台对照组大鼠放于大平台箱内。丁苯酞干预组在睡眠剥夺28 d结束后按100 mg/kg腹腔注射丁苯酞针剂,每日1次,共14 d,其他组大鼠在这14 d内腹腔注射同样剂量的生理盐水。腹腔注射结束后各组大鼠取脑组织,免疫组化检测额叶皮质离子钙接头分子(Iba-1)阳性细胞并计数,Western blot检测额叶诱导型一氧化氮合成酶(iNOS)、精氨酸酶1(Arg1)表达,实时定量PCR检测额叶白介素-1(IL-1)mRNA、IL-6 mRNA、肿瘤坏死因子-α(TNF-α) mRNA。结果: 与空白对照组、大平台对照组比较,慢性睡眠剥夺组额叶Iba-1阳性细胞体积增大伴细胞突起增多,且细胞数增加(P均＜0.05),iNOS和IL-1 mRNA、IL-6 mRNA、TNF-α mRNA表达增加,而Arg1表达减少(P均＜0.05);与慢性睡眠剥夺组比较,丁苯酞干预组额叶Iba-1细胞数减少(P＜ 0.05),iNOS和IL-1 mRNA、IL-6 mRNA、TNF-α mRNA表达减少(P均＜0.05)而Arg1表达无明显改变。结论: 丁苯酞可抑制慢性睡眠剥夺导致的大鼠额叶小胶质细胞活化、减少慢性睡眠剥夺后的炎症因子表达。     

吗啡对猕猴腹侧前额叶脑电γ振荡的影响

为了从神经电生理的角度提供吗啡对腹侧前额叶脑功能影响的证据,通过电生理记录分析技术获取了肌肉注射吗啡（0、0．5、1．6、5．0和8．0mg／kg）后,猕猴腹侧前额叶皮质脑电γ振荡活动的动态变化。结果发现：吗啡导致腹侧前额叶脑电γ振荡功率下降,而且这种影响具有明显的负性量效关系。以上结果说明腹侧前额叶的γ振荡活动与吗啡摄入有密切的关系,并提示脑电γ振荡活动也许可以反映吗啡成瘾的情况。     

ESTIMATION OF GLYCOLIPIDS IN FOUR SELECTED LOBES OF HUMAN BRAIN IN NEUROLOGICAL DISEASES1

Glycolipid (ganglioside, cerebroside and cerebroside sulphate) and cholesterol concentrations for cerebral grey matter from frontal, occipital, temporal and hippocampal lobes of patients with neurological diseases (Alzheimer's disease, senile dementia, cerebrocortical atrophy, schizophrenia and chronic alcoholism) and controls are reported. The results indicate that the concentrations of these lipids are not uniform in the different lobes of both diseased and control brains. The concentrations of the cerebrosides and cerebroside sulphates were generally highest in the occipital lobe and lowest in the frontal lobe; ganglioside N-acetymeuraminic acid (NANA) concentrations on the other hand were lowest in the occipital lobe and highest in the frontal lobe. About one-half of the total NANA was found in the lipid-free residues. There was a general decrease in the concentrations of the glycolipids in the grey matter from the frontal, temporal and hippocampal lobes of brain obtained from patients with neurological diseases (the chronic alcoholic being excluded) below the control values from patients with no known neurological diseases. The cholesterol concentrations in the schizophrenic and alcoholic brains were reduced slightly in all the lobes studied. The general decrease in the glycolipid concentration in the diseased brain may indicate the extent of cortical degeneration.     

Paradoxical sleep deprivation: effects on brain energy metabolism.

A study was made of brain nucleotides and glycolytic intermediates in paradoxical sleep (PS)-deprived and recovery-sleeping rats. It was observed that PS deprivation of 24 h produced a fall in glucose, glucose 6-phosphate and pyruvate in cerebral frontal lobes. After three hours of recovery sleep all values returned toward their predeprivational levels. In cerebellar hemispheres ATP was increased, while glucose 6-phosphate and pyruvate were decreased. After three hours of recovery sleep, glucose 6-phosphate was increased and pyruvate decreased, indicating restoration of glycogen and creatine phosphate respectively.     

Facilitation of task performance and removal of the effects of sleep deprivation by an ampakine (CX717) in nonhuman primates

The deleterious effects of prolonged sleep deprivation on behavior and cognition are a concern in modern society. Persons at risk for impaired performance and health-related issues resulting from prolonged sleep loss would benefit from agents capable of reducing these detrimental effects at the time they are sleep deprived. Agents capable of improving cognition by enhancing brain activity under normal circumstances may also have the potential to reduce the harmful or unwanted effects of sleep deprivation. The significant prevalence of excitatory alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamatergic receptors in the brain provides a basis for implementing a class of drugs that could act to alter or remove the effects of sleep deprivation. The ampakine CX717 (Cortex Pharmaceuticals), a positive allosteric modulator of AMPA receptors, was tested for its ability to enhance performance of a cognitive, delayed match-to-sample task under normal circumstances in well-trained monkeys, as well as alleviate the detrimental effects of 30-36 h of sleep deprivation. CX717 produced a dose-dependent enhancement of task performance under normal alert testing conditions. Concomitant measures of regional cerebral metabolic rates for glucose (CMRglc) during the task, utilizing positron emission tomography, revealed increased activity in prefrontal cortex, dorsal striatum, and medial temporal lobe (including hippocampus) that was significantly enhanced over normal alert conditions following administration of CX717. A single night of sleep deprivation produced severe impairments in performance in the same monkeys, accompanied by significant alterations in task-related CMRglc in these same brain regions. However, CX717 administered to sleep-deprived monkeys produced a striking removal of the behavioral impairment and returned performance to above-normal levels even though animals were sleep deprived. Consistent with this recovery, CMRglc in all but one brain region affected by sleep deprivation was also returned to the normal alert pattern by the drug. The ampakine CX717, in addition to enhancing cognitive performance under normal alert conditions, also proved effective in alleviating impairment of performance due to sleep deprivation. Therefore, the ability to activate specific brain regions under normal alert conditions and alter the deleterious effects of sleep deprivation on activity in those same regions indicate a potential role for ampakines in sustaining performance under these types of adverse conditions.     

抑郁症患者的脑CT灌注成像特征与认知功能的相关性

摘要 目的：探讨抑郁症患者的脑CT灌注成像特征与认知功能的相关性。方法：选取我院2020年1月到2023年1月收治的90例抑郁症患者作为研究对象,将其分为观察组,另选取同期来我院体检的90名健康志愿者作为对照组。收集所有受检者脑CT灌注成像检查数据,分析抑郁症患者的脑CT灌注成像特征,并建立受试者工作特征（ROC）曲线分析脑CT灌注成像对抑郁症的诊断效能。随后对观察组和对照组受检者均进行认知功能评估,其中包括连线检测（TMT）、视觉再生测验（VRT）、言语流畅性测验（VF）、数字广度测验（DST）以及数字符号测验（SDMT）,并分析脑CT灌注成像与抑郁症认知功能的相关性。结果：观察组与对照组受检者rCBV、rCBF、MTT、TIP、右枕叶、左枕叶、右颞叶、左颞叶、右顶叶、左顶叶CT值对比无明显差异（P＞0.05）,观察组与对照组受检者右额叶、左额叶CT值对比差异显著,观察组明显低于对照组（P＜0.05）;90例抑郁症患者经过汉密尔顿抑郁量表（HAMD）评估后分数均＞20分,确定存在抑郁症状,脑CT灌注成像与HAMD评分诊断抑郁症的准确性、灵敏度、特异性、阳性预测值和阴性预测值对比无明显差异（P＞0.05）,脑CT灌注成像的曲线下面积为83.89,最佳诊断着色界限值为82.53%,HAMD评分的曲线下面积为84.26,最佳诊断着色界限值为87.57%;观察组与对照组受检者连线提笔数、连线错误数、视觉再生检测结果对比无明显差异（P＞0.05）,观察组与对照组受检者连线、言语流畅性、数字广度、数字符号检测结果对比差异显著（P＜0.05）;Spearman相关分析结果表明：连线提笔数、连线错误数、视觉再生与脑CT灌注参数均无明显相关性（P＞0.05）,连线、言语流畅性、数字广度、数字符号与rCBV、rCBF、MTT、TIP、右枕叶、左枕叶、右颞叶、左颞叶、右顶叶、左顶叶CT值无明显相关性（P＞0.05）,连线与右额叶、左额叶CT值呈负相关（P＜0.05）,言语流畅性、数字广度、数字符号与右额叶、左额叶CT值呈正相关（P＜0.05）。结论：抑郁症患者的脑CT灌注成像与健康群体呈现差异,其中右额叶、左额叶差异情况最为显著,提示抑郁症患者可能存在大脑额叶功能改变,另外,抑郁症患者的大脑额叶功能与认知功能变化具有明显相关性。     

Sleep-related hippocampo-cortical interplay during emotional memory recollection

Emotional events are usually better remembered than neutral ones. This effect is mediated in part by a modulation of the hippocampus by the amygdala. Sleep plays a role in the consolidation of declarative memory. We examined the impact of sleep and lack of sleep on the consolidation of emotional (negative and positive) memories at the macroscopic systems level. Using functional MRI (fMRI), we compared the neural correlates of successful recollection by humans of emotional and neutral stimuli, 72 h after encoding, with or without total sleep deprivation during the first post-encoding night. In contrast to recollection of neutral and positive stimuli, which was deteriorated by sleep deprivation, similar recollection levels were achieved for negative stimuli in both groups. Successful recollection of emotional stimuli elicited larger responses in the hippocampus and various cortical areas, including the medial prefrontal cortex, in the sleep group than in the sleep deprived group. This effect was consistent across subjects for negative items but depended linearly on individual memory performance for positive items. In addition, the hippocampus and medial prefrontal cortex were functionally more connected during recollection of either negative or positive than neutral items, and more so in sleeping than in sleep-deprived subjects. In the sleep-deprived group, recollection of negative items elicited larger responses in the amygdala and an occipital area than in the sleep group. In contrast, no such difference in brain responses between groups was associated with recollection of positive stimuli. The results suggest that the emotional significance of memories influences their sleep-dependent systems-level consolidation. The recruitment of hippocampo-neocortical networks during recollection is enhanced after sleep and is hindered by sleep deprivation. After sleep deprivation, recollection of negative, potentially dangerous, memories recruits an alternate amygdalo-cortical network, which would keep track of emotional information despite sleep deprivation.     

Normal neuroanatomical variation in the human brain: an MRI-volumetric study

Normative data on the in vivo size of the human brain and its major anatomically defined subdivisions are not readily available. In this study, high-resolution magnetic resonance imaging was used to measure regional brain volumes in 46 normal, right-handed adults (23 men, 23 women) between the ages of 22-49 years. Parcellation of the brain was based on neuroanatomical landmarks. The following brain regions were measured: the cerebral hemispheres, frontal lobe, temporal lobe, parietal lobe, occipital lobe, cingulate gyrus, insula, cerebellum, corpus callosum, and lateral ventricles. Males tend to be significantly larger than females, for the whole brain and for nearly all of its major subdivisions, including the corpus callosum. However, the proportional sizes of regions relative to total volume of the hemisphere are remarkably similar in males and females. Variation in size of region is always greater than variation in proportional representation. Asymmetries in brain regions are not profound, with the exception of the cingulate gyrus, which is larger in the left hemisphere. Brain regions are highly correlated in size, with the exception of the lateral ventricles. After controlling for hemisphere size, the volumes of the frontal and parietal lobes are significantly negatively correlated. The occipital lobe tends to be less sexually dimorphic than other major lobes, and less correlated with other brain regions for volume. These results have implications for understanding whether or not certain sectors of the brain have shown relative expansion over the course of hominid and hominoid evolution.     

基于ICA的颞叶癫痫缺省模式网络的研究

很多fMRI研究表明部分癫痫患者缺省模式网络存在中断现象,但均采用广义线性模型的假设驱动方法。作者尝试运用独立成分分析（independent component analysis, ICA）分离出l5例单侧颞叶癫痫（temporal lobe epilepsy,TLE）患者和17例正常对照的缺省模式网络,并采用拟合度值（goodness-of-fit scores）分析对感兴趣成分进行挑选,将其结果进行组内分析和组间分析。结果表明颞叶癫痫患者的缺省模式网络犬部分区域功能连接度下降,以前额叶和同侧颞上回为著,这可能是由于颞叶癫痫患者的大脑功能内源性组织发生破坏所致。拟合度值下降表明缺省模式网络激活区域为单侧TLE患者提供了一个灵敏的生物信号特征。     

State-Dependent Changes in Auditory Sensory Gating in Different Cortical Areas in Rats

Sensory gating is a process in which the brain’s response to a repetitive stimulus is attenuated; it is thought to contribute to information processing by enabling organisms to filter extraneous sensory inputs from the environment. To date, sensory gating has typically been used to determine whether brain function is impaired, such as in individuals with schizophrenia or addiction. In healthy subjects, sensory gating is sensitive to a subject’s behavioral state, such as acute stress and attention. The cortical response to sensory stimulation significantly decreases during sleep; however, information processing continues throughout sleep, and an auditory evoked potential (AEP) can be elicited by sound. It is not known whether sensory gating changes during sleep. Sleep is a non-uniform process in the whole brain with regional differences in neural activities. Thus, another question arises concerning whether sensory gating changes are uniform in different brain areas from waking to sleep. To address these questions, we used the sound stimuli of a Conditioning-testing paradigm to examine sensory gating during waking, rapid eye movement (REM) sleep and Non-REM (NREM) sleep in different cortical areas in rats. We demonstrated the following: 1. Auditory sensory gating was affected by vigilant states in the frontal and parietal areas but not in the occipital areas. 2. Auditory sensory gating decreased in NREM sleep but not REM sleep from waking in the frontal and parietal areas. 3. The decreased sensory gating in the frontal and parietal areas during NREM sleep was the result of a significant increase in the test sound amplitude.     

The research of constructing dynamic cognition model based on brain network

Estimating the functional interactions and connections between brain regions to corresponding process in cognitive, behavioral and psychiatric domains is a central pursuit for understanding the human connectome. Few studies have examined the effects of dynamic evolution on cognitive processing and brain activation using brain network model in scalp electroencephalography (EEG) data. Aim of this study was to investigate the brain functional connectivity and construct dynamic programing model from EEG data and to evaluate a possible correlation between topological characteristics of the brain connectivity and cognitive evolution processing. Here, functional connectivity between brain regions is defined as the statistical dependence between EEG signals in different brain areas and is typically determined by calculating the relationship between regional time series using wavelet coherence. We present an accelerated dynamic programing algorithm to construct dynamic cognitive model that we found that spatially distributed regions coherence connection difference, the topologic characteristics with which they can transfer information, producing temporary network states. Our findings suggest that brain dynamics give rise to variations in complex network properties over time after variation audio stimulation, dynamic programing model gives the dynamic evolution processing at different time and frequency. In this paper, by applying a new construct approach to understand whole brain network dynamics, firstly, brain network is constructed by wavelet coherence, secondly, different time active brain regions are selected by network topological characteristics and minimum spanning tree. Finally, dynamic evolution model is constructed to understand cognitive process by dynamic programing algorithm, this model is applied to the auditory experiment, results showed that, quantitatively, more correlation was observed after variation audio stimulation, the EEG function connection dynamic evolution model on cognitive processing is feasible with wavelet coherence EEG recording.