Multiplex connectomics reveal altered networks in frontotemporal dementia: A multisite study [0.03%]
多重连接组学揭示额颞叶痴呆的改变网络：一项多中心研究
Sunil Kumar Khokhar,Manoj Kumar,Faheem Arshad et al.
Sunil Kumar Khokhar et al.
A network neuroscience perspective can significantly advance the understanding of neurodegenerative disorders, particularly frontotemporal dementia (FTD). This study employed an innovative multiplex connectomics approach, integrating cortic...
Efficacy of functional connectome fingerprinting using tangent-space brain networks [0.03%]
基于切空间脑网络的功能连接指纹的效用研究
Davor Curic,Sudhanva Kalasapura Venugopal Krishna,Jörn Davidsen
Davor Curic
Functional connectomes (FCs) are estimations of brain region interaction derived from brain activity, often obtained from functional magnetic resonance imaging recordings. Quantifying the distance between FCs is important for understanding ...
Erratum: Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer's disease [0.03%]
erratum：在早发性阿尔茨海默病(adad)家系中,中枢神经破坏加重与疾病严重程度呈正相关
Jiaxin Cindy Tu,Peter R Millar,Jeremy F Strain et al.
Jiaxin Cindy Tu et al.
[This corrects the article DOI: 10.1162/netn_a_00395.]. © 2025 Massachusetts Institute of Technology.
Published Erratum
Network neuroscience (Cambridge, Mass.). 2024 Apr 28;9(1):i. DOI:10.1162/netn_x_00462 2024
Marina Vegué,Antoine Allard,Patrick Desrosiers
Marina Vegué
In recurrent networks of leaky integrate-and-fire neurons, the mean-field theory has been instrumental in capturing the statistical properties of neuronal activity, like firing rate distributions. This theory has been applied to networks wi...
Analyzing the brain's dynamic response to targeted stimulation using generative modeling [0.03%]
利用生成模型分析大脑对靶向刺激的动态反应
Rishikesan Maran,Eli J Müller,Ben D Fulcher
Rishikesan Maran
Generative models of brain activity have been instrumental in testing hypothesized mechanisms underlying brain dynamics against experimental datasets. Beyond capturing the key mechanisms underlying spontaneous brain dynamics, these models h...
Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer's disease continuum [0.03%]
多模式MRI能够在阿尔茨海默病的连续不平衡队列中准确识别淀粉样蛋白状态
Giorgio Dolci,Charles A Ellis,Federica Cruciani et al.
Giorgio Dolci et al.
Amyloid-β (Aβ) plaques in conjunction with hyperphosphorylated tau proteins in the form of neurofibrillary tangles are the two neuropathological hallmarks of Alzheimer's disease. It is well-known that the identification of individuals wit...
Arata Shirakami,Takeshi Hase,Yuki Yamaguchi et al.
Arata Shirakami et al.
Our brains operate as a complex network of interconnected neurons. To gain a deeper understanding of this network architecture, it is essential to extract simple rules from its intricate structure. This study aimed to compress and simplify ...
Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model [0.03%]
基于患者特异性全脑模型使用头皮EEG定位致痫网络
Mihai Dragos Maliia,Elif Köksal-Ersöz,Adrien Benard et al.
Mihai Dragos Maliia et al.
Computational modeling is a key tool for elucidating the neuronal mechanisms underlying epileptic activity. Despite considerable progress, existing models often lack realistic accuracy in representing electrophysiological epileptic activity...
A telescopic independent component analysis on functional magnetic resonance imaging dataset [0.03%]
功能性磁共振成像数据集上的伸缩独立成分分析
Shiva Mirzaeian,Ashkan Faghiri,Vince D Calhoun et al.
Shiva Mirzaeian et al.
Brain function can be modeled as dynamic interactions between functional sources at different spatial scales, and each spatial scale can contain its functional sources with unique information, thus using a single scale may provide an incomp...
Validating MEG estimated resting-state connectome with intracranial EEG [0.03%]
通过颅内脑电图验证MEG估计的静息状态连接组的有效性
Jawata Afnan,Zhengchen Cai,Jean-Marc Lina et al.
Jawata Afnan et al.
Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakage issues, making it challenging to interpre...