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效应量置信区间的原理及其实现 被引量:13
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作者 王珺 宋琼雅 +2 位作者 许岳培 贾彬彬 胡传鹏 《心理技术与应用》 2019年第5期284-296,共13页
在心理学可重复危机的背景之下,报告效应量及其置信区间正逐渐成为主流心理学界所要求的新标准,但是研究者可能对效应量的置信区间缺乏足够的理解。为增强研究者对效应量置信区间的理解及应用,本文介绍了心理学研究中最常用的效应量指... 在心理学可重复危机的背景之下,报告效应量及其置信区间正逐渐成为主流心理学界所要求的新标准,但是研究者可能对效应量的置信区间缺乏足够的理解。为增强研究者对效应量置信区间的理解及应用,本文介绍了心理学研究中最常用的效应量指标——Cohen's d与η~2——置信区间的基本原理,即在备择假设(H_1)为真时,需要通过迭代估计的方式来估计相应非中心分布的非中心分布参数,从而构建Cohen's d与η~2的置信区间。其中Cohen's d对应的是非中心t分布;而η~2对应的则是非中心F分布。使用现有的计算机程序,能够对Cohen's d与η~2的置信区间进行计算,例如R与JASP,本文对此进行了分别展示。报告效应量置信区间不仅有助于研究者更好地进行统计推断,也有利于整个科学界知识的积累,因此本文介绍的方法对研究者具有十分重要的意义。 展开更多
关键词 效应量 置信区间 Cohen's d ETA squared R
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Modifying the progression of Parkinson's disease through movement interventions:multimodal quantification of underlying mechanisms
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作者 Manuel Bange Damian Marc Herz +2 位作者 Dumitru Ciolac Gabriel Gonzalez-Escamilla Sergiu Groppa 《Neural Regeneration Research》 SCIE CAS CSCD 2024年第8期1651-1652,共2页
Introduction:Parkinson’s disease(PD)is the most common neurodegenerative movement disorder.The pathological hallmark is the progressive loss of dopaminergic neurons of the substantia nigra pars compacta,which is acco... Introduction:Parkinson’s disease(PD)is the most common neurodegenerative movement disorder.The pathological hallmark is the progressive loss of dopaminergic neurons of the substantia nigra pars compacta,which is accompanied by widespread alterations in the structu re and function of distributed brain networks.Togethe r,these processes cause a variety of motor symptoms such as bradykinesia,rigidity,tremor,gait disorders,or difficulties in fine motor control(Bange et al.,2022). 展开更多
关键词 alterations MOVEMENT
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Targeting the centromedian nucleus of the thalamus for epilepsy
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作者 Guillermo J.Bazarra Castro Gabriel Gonzalez-Escamilla +7 位作者 Carlos Martinez Macho Alejandra Madero Pohlen Adrian Martin Segura Amelia Alvarez-Sala Enrique Barbero Pablos Sergiu Groppa Jose AFernandez-Alen Cristina Virgina Torres Diaz 《Brain network disorders》 2025年第2期65-70,共6页
Approximately one-third of the 50 million patients with epilepsy worldwide are resistant to pharmacological treatments and may require aggressive interventions,such as surgery.However,many patients do not benefit from... Approximately one-third of the 50 million patients with epilepsy worldwide are resistant to pharmacological treatments and may require aggressive interventions,such as surgery.However,many patients do not benefit from surgery due to anatomical challenges or multifocal epileptogenic origins.Deep brain stimulation(DBS)is a promising alternative for these patients.DBS modulates neurotransmitter activity to prevent seizure propagation and has already been approved for the treatment of Parkinson’s disease and essential tremors.Although the anterior nucleus of the thalamus is the only DBS target approved for drug resistant epilepsy in Europe and Canada,the centromedian nucleus(CM)has emerged as a promising target,particularly for generalized and frontal lobe seizures.The CM is challenging to target because of its small size and complex connections,and it cannot be easily visualized using conventional imaging.This study focused on advanced methods for CM identification,including specialized magnetic resonance imaging sequences,intraoperative neurophysiological recordings,and diffusion tensor imaging tractography.These techniques are crucial for precise DBS targeting and for improving seizure control in affected patients.Our findings indicate that combining these advanced imaging and neurophysiological methods enhances the accuracy of DBS,potentially expanding its therapeutic applications in epilepsy.By opti mizing CM-DBS electrode placement,these approaches can improve clinical outcomes in drug resistant epilepsy,making them vital for effective treatment strategies. 展开更多
关键词 Deep brain stimulation Drug resistant epilepsy Centromedian nucleus Seizure control Neurophysiological recording Diffusion tensor imaging
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