Individualized mouse brain network models produce asymmetric patterns of functional connectivity after simulated traumatic injury [0.03%]
个体化小鼠脑网络模型在模拟创伤损伤后产生不对称的功能连接模式
Adam C Rayfield,Taotao Wu,Jared A Rifkin et al.
Adam C Rayfield et al.
The functional and cognitive effects of traumatic brain injury (TBI) are poorly understood, as even mild injuries (concussion) can lead to long-lasting, untreatable symptoms. Simplified brain dynamics models may help researchers better unde...
Functional connectotomy of a whole-brain model reveals tumor-induced alterations to neuronal dynamics in glioma patients [0.03%]
全脑模型的功能连接切断揭示胶质瘤患者神经元动态变化的肿瘤诱导改变
Christoffer G Alexandersen,Linda Douw,Mona L M Zimmermann et al.
Christoffer G Alexandersen et al.
Brain tumors can induce pathological changes in neuronal dynamics that are reflected in functional connectivity measures. Here, we use a whole-brain modeling approach to investigate pathological alterations to neuronal activity in glioma pa...
Tangent space functional reconfigurations in individuals at risk for alcohol use disorder [0.03%]
酒精使用障碍风险个体中切线空间功能重组
Mahdi Moghaddam,Mario Dzemidzic,Daniel Guerrero et al.
Mahdi Moghaddam et al.
Human brain function dynamically adjusts to ever-changing stimuli from the external environment. Studies characterizing brain functional reconfiguration are, nevertheless, scarce. Here, we present a principled mathematical framework to quan...
Test-retest reliability of dynamic functional connectivity parameters for a two-state model [0.03%]
两状态模型的动态功能连接参数的测试-复测可靠性
Xiaojing Fang,Michael Marxen
Xiaojing Fang
Reliability of imaging parameters is of pivotal importance for further correlation analyses. Here, we investigated the test-retest reliability of two dynamic functional connectivity (dFC) brain states and related parameters for different sc...
Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects [0.03%]
从个体结构连接体预测其功能连接的证据、建议和未来展望
Andrew Zalesky,Tabinda Sarwar,Ye Tian et al.
Andrew Zalesky et al.
Several recent studies have optimized deep neural networks to learn high-dimensional relationships linking structural and functional connectivity across the human connectome. However, the extent to which these models recapitulate individual...
Mathieu Mach,Enrico Amico,Raphaël Liégeois et al.
Mathieu Mach et al.
Connectomes' topological organization can be quantified using graph theory. Here, we investigated brain networks in higher dimensional spaces defined by up to 10 graph theoretic nodal properties. These properties assign a score to nodes, re...
Gamma frequency connectivity in frontostriatal networks associated with social preference is reduced with traumatic brain injury [0.03%]
与社会偏好相关的前额皮层-纹状体网络的伽马频段频率连接在创伤性脑损伤后降低
Morteza Salimi,Tianzhi Tang,Milad Nazari et al.
Morteza Salimi et al.
Among the myriad of complications associated with traumatic brain injury (TBI), impairments in social behaviors and cognition have emerged as a significant area of concern. Animal models of social behavior are necessary to explore the under...
A gradient of hemisphere-specific dorsal to ventral processing routes in parieto-premotor networks [0.03%]
顶叶-前运动网络中半球特异性背侧到腹侧处理通路的梯度现象
Marvin Jüchtern,Usman Jawed Shaikh,Svenja Caspers et al.
Marvin Jüchtern et al.
Networks in the parietal and premotor cortices enable essential human abilities regarding motor processing, including attention and tool use. Even though our knowledge on its topography has steadily increased, a detailed picture of hemisphe...
Comparison of different group-level templates in gradient-based multimodal connectivity analysis [0.03%]
基于梯度的多模态连接性分析中不同组水平模板的比较
Sunghun Kim,Seulki Yoo,Ke Xie et al.
Sunghun Kim et al.
The study of large-scale brain connectivity is increasingly adopting unsupervised approaches that derive low-dimensional spatial representations from high-dimensional connectomes, referred to as gradient analysis. When translating this appr...
Kyesam Jung,Simon B Eickhoff,Julian Caspers;UKD-PD team;Oleksandr V Popovych
Kyesam Jung
The neurodegenerative progression of Parkinson's disease affects brain structure and function and, concomitantly, alters the topological properties of brain networks. The network alteration accompanied by motor impairment and the duration o...