Regional activity and interregional functional connectivity uniquely contribute to social cognitive judgments during movie-watching [0.03%]
脑区活动和脑区间功能连接协同作用影响电影观看过程中的社会认知判断
Roberto C French,Haily Merritt,Colleen Hughes et al.
Roberto C French et al.
Understanding how the brain gives rise to social cognition has been a key goal of neuroimaging research. Both changes in regional activation as well as functional connectivity have been implicated as potential mechanisms underlying social c...
MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks [0.03%]
基于T1加权结构相似性网络的Mind和MSN方法的测试-重测信度及年龄敏感性的系统评估
Jiaqi Gao,Yang Hu
Jiaqi Gao
Constructing structural similarity networks from T1-weighted MRI offers a powerful means to characterize brain organization. Two prominent methods for constructing such networks, Morphometric Similarity Network (MSN) and Morphometric INvers...
The turbulent brain: Modeling vortex interactions for understanding human cognition [0.03%]
动荡的脑：建模涡旋相互作用以理解人类认知
Gustavo Deco,Yonatan Sanz Perl,Jianfeng Feng et al.
Gustavo Deco et al.
The human brain needs distributed, time-critical computation to efficiently solve complex problems. Turbulence provides such highly efficient spacetime information processing and transmission across widespread brain networks, yet we have be...
Neural dynamics of mindfulness training: A longitudinal EEG network analysis of focused attention and open monitoring meditation [0.03%]
正念训练的神经动力学：集中注意和开放监测冥想的纵向EEG网络分析
Yanli Lin,Marne L White,Jihong Zhang et al.
Yanli Lin et al.
Neural oscillatory activity within the alpha and theta bands have long been considered putative markers of state mindfulness, yet understanding of their functional role has been limited by the challenges of linking objective brain indices w...
NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with high-frequency spatial filtering for windowed fMRI analysis [0.03%]
基于高频空间滤波的神经标记动态频率引导独立成分分析（用于滑动窗口功能磁共振成像数据分析）
Neda Behzadfar,Armin Iraji,Najme Soleimani et al.
Neda Behzadfar et al.
Fine-scale spatial dynamics within functional brain networks manifest as high spatial-frequency variations that conventional independent component analysis (ICA) methods fail to capture. These subtle changes may carry critical information a...
Higher-order statistics for constructing centered edge functional connectivity [0.03%]
高阶统计方法在中心边缘功能连接构建中的应用
Junting Wang,Youngheun Jo,Junwei Lu et al.
Junting Wang et al.
Functional connectivity is often constructed to understand functional organizations in neural systems, where the brain regions and their pairwise interactions are viewed as nodes and edges, respectively. In practice, functional connectivity...
Microscale dysfunction and mesoscale compensation in degenerating neuronal networks [0.03%]
退行性神经网络中的微尺度功能障碍和中尺度补偿机制
Vegard Fiskum,Nicolai Winter-Hjelm,Nicholas Christiansen et al.
Vegard Fiskum et al.
Progressive neurodegenerative diseases involve neuronal dysfunction across cellular, circuit, and whole-brain levels. Despite differences in anatomical origins, vulnerable neuronal subtypes, and specific misfolded proteins, these diseases s...
NeuroMArVL: An interactive and collaborative web-based tool for visualizing brain networks [0.03%]
神经网络马尔维：一种用于可视化大脑网络的交互式和协作式的网页工具
Christopher Leslie Adamson,Mehul Gajwani,Matthias Klapperstueck et al.
Christopher Leslie Adamson et al.
Brain connectivity data are high-dimensional and are often modeled as graphs comprising in the order of ∼102-104 nodes connected by around 103-106 edges. Generating useful visualizations is essential for reducing and understanding such com...
Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress [0.03%]
大鼠大脑皮层相似性网络的后发育及其对早期生活压力的敏感性
Rachel L Smith,Stephen J Sawiak,Lena Dorfschmidt et al.
Rachel L Smith et al.
Network models are a key tool in human neuroscience, and translation into animal models is essential for interrogating mechanistic drivers of network organization. Using magnetic resonance imaging (MRI), we present the first in vivo network...
Increased sensitivity in identifying language-related functional connectivity using jackknife resampling analyses [0.03%]
利用刀切重采样分析提高与语言功能连接识别的敏感性
Jinqing Liang,Divesh Thaploo,Adebiyi Sobitan et al.
Jinqing Liang et al.
Functional connectivity (FC) analyses of task-based fMRI (tbfMRI) often rely on static correlation methods that average signal relationships over time. While widely used, these methods may miss transient but meaningful neural interactions. ...