This paper reports distinct spatio-spectral properties of Zen-meditation EEG (electroencephalograph), compared with resting EEG, by implementing unsupervised machine learning scheme in clustering the brain mappings of...This paper reports distinct spatio-spectral properties of Zen-meditation EEG (electroencephalograph), compared with resting EEG, by implementing unsupervised machine learning scheme in clustering the brain mappings of centroid frequency (BMFc). Zen practitioners simultaneously concentrate on the third ventricle, hypothalamus and corpora quadrigemina touniversalize all brain neurons to construct a <i>detached</i> brain and gradually change the normal brain traits, leading to the process of brain-neuroplasticity. During such tri-aperture concentration, EEG exhibits prominent diffuse high-frequency oscillations. Unsupervised self-organizing map (SOM), clusters the dataset of quantitative EEG by matching the input feature vector Fc and the output cluster center through the SOM network weights. Input dataset contains brain mappings of 30 centroid frequencies extracted from CWT (continuous wavelet transform) coefficients. According to SOM clustering results, resting EEG is dominated by global low-frequency (<14 Hz) activities, except channels T7, F7 and TP7 (>14.4 Hz);whereas Zen-meditation EEG exhibits globally high-frequency (>16 Hz) activities throughout the entire record. Beta waves with a wide range of frequencies are often associated with active concentration. Nonetheless, clinic report discloses that benzodiazepines, medication treatment for anxiety, insomnia and panic attacks to relieve mind/body stress, often induce <i>beta buzz</i>. We may hypothesize that Zen-meditation practitioners attain the unique state of mindfulness concentration under optimal body-mind relaxation.展开更多
目的应用视听整合连续测试对脑电生物反馈治疗注意缺陷多动障碍(attention deficit and hyperactivity disorder,ADHD)的疗效进行评估。方法参照《美国精神疾病诊断和统计手册》第4版(Diagnostic and Statistical Manual of Mental Diso...目的应用视听整合连续测试对脑电生物反馈治疗注意缺陷多动障碍(attention deficit and hyperactivity disorder,ADHD)的疗效进行评估。方法参照《美国精神疾病诊断和统计手册》第4版(Diagnostic and Statistical Manual of Mental Disorders-Ⅳ,DSM-Ⅳ)中关于ADHD的诊断标准,选取2013年1月到2014年3月在郑州市儿童医院心理科诊断明确的ADHD患儿50例,进行脑电(electroencephalographic,EEG)生物反馈训练,每周训练5次,每次30 min,每20次为1个疗程,所有患儿均连续训练2个疗程。在治疗前后应用视听整合连续测试的方法检测听、视觉控制力和注意力,对比各相关商数的变化,从而对脑电生物反馈的疗效进行综合评估。结果经过训练,患儿的综合控制力和综合注意力均得到明显改善(P<0.001),其他各项观察指标也有所提高。除了毅力商数和速度商数外,差异均有统计学意义(P<0.005)。结论脑电生物反馈训练是针对ADHD的一种有效方法,值得临床推广。展开更多
文摘This paper reports distinct spatio-spectral properties of Zen-meditation EEG (electroencephalograph), compared with resting EEG, by implementing unsupervised machine learning scheme in clustering the brain mappings of centroid frequency (BMFc). Zen practitioners simultaneously concentrate on the third ventricle, hypothalamus and corpora quadrigemina touniversalize all brain neurons to construct a <i>detached</i> brain and gradually change the normal brain traits, leading to the process of brain-neuroplasticity. During such tri-aperture concentration, EEG exhibits prominent diffuse high-frequency oscillations. Unsupervised self-organizing map (SOM), clusters the dataset of quantitative EEG by matching the input feature vector Fc and the output cluster center through the SOM network weights. Input dataset contains brain mappings of 30 centroid frequencies extracted from CWT (continuous wavelet transform) coefficients. According to SOM clustering results, resting EEG is dominated by global low-frequency (<14 Hz) activities, except channels T7, F7 and TP7 (>14.4 Hz);whereas Zen-meditation EEG exhibits globally high-frequency (>16 Hz) activities throughout the entire record. Beta waves with a wide range of frequencies are often associated with active concentration. Nonetheless, clinic report discloses that benzodiazepines, medication treatment for anxiety, insomnia and panic attacks to relieve mind/body stress, often induce <i>beta buzz</i>. We may hypothesize that Zen-meditation practitioners attain the unique state of mindfulness concentration under optimal body-mind relaxation.
文摘目的应用视听整合连续测试对脑电生物反馈治疗注意缺陷多动障碍(attention deficit and hyperactivity disorder,ADHD)的疗效进行评估。方法参照《美国精神疾病诊断和统计手册》第4版(Diagnostic and Statistical Manual of Mental Disorders-Ⅳ,DSM-Ⅳ)中关于ADHD的诊断标准,选取2013年1月到2014年3月在郑州市儿童医院心理科诊断明确的ADHD患儿50例,进行脑电(electroencephalographic,EEG)生物反馈训练,每周训练5次,每次30 min,每20次为1个疗程,所有患儿均连续训练2个疗程。在治疗前后应用视听整合连续测试的方法检测听、视觉控制力和注意力,对比各相关商数的变化,从而对脑电生物反馈的疗效进行综合评估。结果经过训练,患儿的综合控制力和综合注意力均得到明显改善(P<0.001),其他各项观察指标也有所提高。除了毅力商数和速度商数外,差异均有统计学意义(P<0.005)。结论脑电生物反馈训练是针对ADHD的一种有效方法,值得临床推广。
