Capturing biomarkers associated with Alzheimer disease subtypes using data distribution characteristics [0.03%]
利用数据分布特征捕捉与阿尔茨海默病亚型相关的生物标志物
Kenneth Smith,Sharlee Climer
Kenneth Smith
Late-onset Alzheimer disease (AD) is a highly complex disease with multiple subtypes, as demonstrated by its disparate risk factors, pathological manifestations, and clinical traits. Discovery of biomarkers to diagnose specific AD subtypes ...
Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action [0.03%]
编者按：理解振荡、互信息及同步在感知和行为中的作用
Andreas Bahmer,Johanna M Rimmele,Daya Shankar Gupta
Andreas Bahmer
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity [0.03%]
统一的α、μ和τ节律理论通过大脑活动的本征模式得出
Rawan Khalil El Zghir,Natasha C Gabay,P A Robinson
Rawan Khalil El Zghir
A compact description of the frequency structure and topography of human alpha-band rhythms is obtained by use of the first four brain activity eigenmodes previously derived from corticothalamic neural field theory. Just two eigenmodes that...
Manoj Kumar Nandi,Michele Valla,Matteo di Volo
Manoj Kumar Nandi
Gamma oscillations (30-120 Hz) in the brain are not periodic cycles, but they typically appear in short-time windows, often called oscillatory bursts. While the origin of this bursting phenomenon is still unclear, some recent studies hypoth...
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus [0.03%]
大鼠海马区轴突受正弦刺激调制的神经元放电非线性分析
Yue Yuan,Xiangyu Ye,Jian Cui et al.
Yue Yuan et al.
Introduction: Electrical stimulation of the brain has shown promising prospects in treating various brain diseases. Although biphasic pulse stimulation remains the predominant clinical approach, there has been increasing ...
Classification of epileptic seizures in EEG data based on iterative gated graph convolution network [0.03%]
基于迭代门控图卷积网络的EEG癫痫发作分类
Yue Hu,Jian Liu,Rencheng Sun et al.
Yue Hu et al.
Introduction: The automatic and precise classification of epilepsy types using electroencephalogram (EEG) data promises significant advancements in diagnosing patients with epilepsy. However, the intricate interplay among...
Congzhou M Sha,Jian Wang,Richard B Mailman et al.
Congzhou M Sha et al.
The question of how consciousness and behavior arise from neural activity is fundamental to understanding the brain, and to improving the diagnosis and treatment of neurological and psychiatric disorders. There is significant murine and pri...
Jessica L Verpeut,Marlies Oostland
Jessica L Verpeut
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights [0.03%]
基于迁移学习的深度学习在儿科脑MRI中的应用：探究深度学习检测胎儿酒精暴露的有效性及可解释性
Anik Das,Kaue Duarte,Catherine Lebel et al.
Anik Das et al.
Prenatal alcohol exposure (PAE) refers to the exposure of the developing fetus due to alcohol consumption during pregnancy and can have life-long consequences for learning, behavior, and health. Understanding the impact of PAE on the develo...
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system [0.03%]
基于生物约束的动力学模型模拟帕金森病动物模型中的单胺类神经元的缺失问题
Samuele Carli,Luigi Brugnano,Daniele Caligiore
Samuele Carli
Introduction: Historically, Parkinson's Disease (PD) research has focused on the dysfunction of dopamine-producing cells in the substantia nigra pars compacta, which is linked to motor regulation in the basal ganglia. The...