Variations in connectivity in the sensorimotor and default-mode networks during the first nocturnal sleep cycle [0.03%]
首次夜间睡眠周期内感觉运动网络和默认模式网络的连接变化
Changwei W Wu,Po-Yu Liu,Pei-Jung Tsai et al.
Changwei W Wu et al.
The function of sleep in humans has been investigated using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging recordings to provide accurate sleep scores with spatial precision. Recent studies have demonstr...
Functional covariance networks: obtaining resting-state networks from intersubject variability [0.03%]
功能协方差网络：从组间差异性中获取静息态网络
Paul A Taylor,Suril Gohel,Xin Di et al.
Paul A Taylor et al.
In this study, we investigate a new approach for examining the separation of the brain into resting-state networks (RSNs) on a group level using resting-state parameters (amplitude of low-frequency fluctuation [ALFF], fractional ALFF [fALFF...
Independent component analysis of localized resting-state functional magnetic resonance imaging reveals specific motor subnetworks [0.03%]
独立成分分析发现特异的静息态运动功能连接网络
William Seunghyun Sohn,Kwangsun Yoo,Yong Jeong
William Seunghyun Sohn
Recent studies have shown that blood oxygen level-dependent low-frequency (
Spiro P Pantazatos,Ted K Yanagihara,Xian Zhang et al.
Spiro P Pantazatos et al.
Although expectation- and attention-related interactions between ventral and medial prefrontal cortex and stimulus category-selective visual regions have been identified during visual detection and discrimination, it is not known if similar...
Effects of age on the structure of functional connectivity networks during episodic and working memory demand [0.03%]
年龄对情景记忆和工作记忆需求下的功能连接网络结构的影响
Franziska Matthäus,Jan-Philip Schmidt,Anirban Banerjee et al.
Franziska Matthäus et al.
The aim of the study was to investigate age-related differences in large-scale functional connectivity networks during episodic and working memory challenge. A graph theoretical approach was used providing an exhaustive set of topological m...
Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks [0.03%]
连接性（CONN）：一个用于相关和反相关的脑网络的功能连接工具箱
Susan Whitfield-Gabrieli,Alfonso Nieto-Castanon
Susan Whitfield-Gabrieli
Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain. However, valid statistical analysis used to identify such networks must address sources of noise in...
Variable bandwidth filtering for improved sensitivity of cross-frequency coupling metrics [0.03%]
基于改进交叉频率耦合指标敏感性的可变带宽滤波器
Jeffrey I Berman,Jonathan McDaniel,Song Liu et al.
Jeffrey I Berman et al.
There is an increasing interest in examining cross-frequency coupling (CFC) between groups of oscillating neurons. Most CFC studies examine how the phase of lower-frequency brain activity modulates the amplitude of higher-frequency brain ac...
Linking brain connectivity across different time scales with electroencephalogram, functional magnetic resonance imaging, and diffusion tensor imaging [0.03%]
基于EEG、fMRI和DTI的跨时间尺度脑连接研究
Kay Jann,Andrea Federspiel,Stéphanie Giezendanner et al.
Kay Jann et al.
Structural and functional connectivity are intrinsic properties of the human brain and represent the amount of cognitive capacities of individual subjects. These connections are modulated due to development, learning, and disease. Momentary...
Interhemispheric effective and functional cortical connectivity signatures of spina bifida are consistent with callosal anomaly [0.03%]
脊柱裂半球间皮质有效连接和功能连接异常与胼胝体损伤相关
Sheida Malekpour,Zhimin Li,Bing Leung Patrick Cheung et al.
Sheida Malekpour et al.
The impact of the posterior callosal anomalies associated with spina bifida on interhemispheric cortical connectivity is studied using a method for estimating cortical multivariable autoregressive models from scalp magnetoencephalography da...
Sample size estimation for comparing parameters using dynamic causal modeling [0.03%]
使用动态因果模型比较参数的样本量估计方法研究
Nia Goulden,Rebecca Elliott,John Suckling et al.
Nia Goulden et al.
Functional magnetic resonance imaging (fMRI) has proved to be useful for analyzing the effects of illness and pharmacological agents on brain activation. Many fMRI studies now incorporate effective connectivity analyses on data to assess th...