Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with transcranial alternating current stimulation [0.03%]
经颅交流电刺激通过突触可塑性放大刺激后的振荡动力学
Jeremie Lefebvre,Aref Pariz
Jeremie Lefebvre
Introduction: Periodic brain stimulation (PBS) techniques, either intracranial or non-invasive, electrical or magnetic, represent promising neuromodulatory tools for the treatment of neurological and neuropsychiatric diso...
Hans Liljenström
Hans Liljenström
Conventional scientific paradigms predominantly emphasize upward causality, often overlooking or dismissing the role of downward causality. This approach is also prevalent in neuroscience, where cortical neurodynamics and higher cognitive f...
Resolving inconsistent effects of tDCS on learning using a homeostatic structural plasticity model [0.03%]
使用稳态结构可塑性模型解决tDCS对学习不一致影响的难题
Han Lu,Lukas Frase,Claus Normann et al.
Han Lu et al.
Introduction: Transcranial direct current stimulation (tDCS) is increasingly used to modulate motor learning. Current polarity and intensity, electrode montage, and application before or during learning had mixed effects....
Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data [0.03%]
耶鲁脑图谱：交互式探索多模态结构和功能神经影像数据
Evan Collins,Omar Chishti,Hari McGrath et al.
Evan Collins et al.
Understanding the relationship between structure and function in the human brain is essential for revealing how brain organization influences cognition, perception, emotion, and behavior. To this end, we introduce an interactive web tool an...
Karl Friston,Conor Heins,Tim Verbelen et al.
Karl Friston et al.
This paper describes a discrete state-space model and accompanying methods for generative modeling. This model generalizes partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active i...
Interictal spikes and evoked cortical potentials share common spatiotemporal constraints in human epilepsy [0.03%]
人类癫痫患者海马硬化的间歇期尖波与皮层诱发反应具有共同的时空特性
Samuel B Tomlinson,Patrick Davis,Caren Armstrong et al.
Samuel B Tomlinson et al.
Interictal epileptiform discharges (IEDs) are pathologic hallmarks of epilepsy which frequently arise and spread through networks of functionally-connected brain regions. Recent studies demonstrate that the sequential recruitment of brain r...
What goes on when the lights go off? Using machine learning techniques to characterize a child's settling down period [0.03%]
灯灭后会发生什么？运用机器学习技术描述儿童入睡前的状态变化
Deniz Kocanaogullari,Murat Akcakaya,Roxanna Bendixen et al.
Deniz Kocanaogullari et al.
Objectives: Current approaches to objective measurement of sleep disturbances in children overlook the period prior to sleep, or the settling down time. Using machine learning techniques, we identified key features that c...
Success rates of simulated multi-pulse defibrillation protocols are sensitive to application timing with individual, protocol-specific optimal timings [0.03%]
模拟多脉冲除颤方案的成功率取决于施加时间，且不同的方案具有特定的个体最优施加时间
Marcel Aron,Stefan Luther,Ulrich Parlitz
Marcel Aron
Ventricular fibrillation is a lethal condition where the heartbeat becomes too disorganised to maintain proper circulation. It is treated with defibrillation, which applies an electric shock in an attempt to reset the heart rhythm. As the h...
Eigenvector biomarker for prediction of epileptogenic zones and surgical success from interictal data [0.03%]
基于非惊厥期数据的癫痫致痫区预测及手术预后的特征向量生物标志物研究
Sayantika Roy,Armelle Varillas,Emily A Pereira et al.
Sayantika Roy et al.
Introduction: More than 50 million people worldwide suffer from epilepsy. Approximately 30% of epileptic patients suffer from medically refractory epilepsy (MRE), which means that over 15 million people must seek extensiv...
Complexity synchronization analysis of neurophysiological data: Theory and methods [0.03%]
神经生理数据的复杂同步分析：理论与方法
Ioannis Schizas,Sabrina Sullivan,Scott Kerick et al.
Ioannis Schizas et al.
Introduction: We present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and behavioral systems to i...