David Chukwuma Nwikwe
David Chukwuma Nwikwe
Stress remains a pervasive challenge in modern life, exerting significant impacts on cognitive performance and overall well-being by triggering release of stress hormones like adrenaline and cortisol. It has profound implications for educat...
Saeid Abbasi-Maleki,Babak Nakhaei,Samira Rostami Mehr et al.
Saeid Abbasi-Maleki et al.
In order to improve individual and community health outcomes, stress research is crucial for developing our understanding of human biology, psychology, and social dynamics. It also informs therapeutic practices, public health campaigns, and...
Enhancing classification accuracy of HRF signals in fNIRS using semi-supervised learning and filtering [0.03%]
基于半监督学习和滤波提高fNIRS中HRF信号分类精度的方法研究
Cheng-Hsuan Chen,Kuo-Kai Shyu,Yi-Chao Wu et al.
Cheng-Hsuan Chen et al.
This paper introduces a novel approach to enhance the classification accuracy of hemodynamic response function (HRF) signals acquired through functional near-infrared spectroscopy (fNIRS). Leveraging a semi-supervised learning (SSL) framewo...
Brain functional networks and structures that categorize type 2 bipolar disorder and major depression [0.03%]
区分二型双相情感障碍和重度抑郁的脑功能网络和结构簇
Yen-Ling Chen,Jia-En Jhou,Ya-Mei Bai et al.
Yen-Ling Chen et al.
Background: Distinguishing between type 2 bipolar disorder (BD II) and major depressive disorder (MDD) poses a significant clinical challenge due to their overlapping symptomatology. This study aimed to investigate neurob...
Brain structural network modular and connectivity alterations in subtypes of patients with migraine and medication overuse headache [0.03%]
偏头痛及过度用药头痛亚型患者的脑结构网络模块和连接改变
Chi-Wen Jao,Yu-Te Wu,Wei-Hung Chen et al.
Chi-Wen Jao et al.
Migraine, one of the most prevalent and debilitating neurological disorders, can be classified based on attack frequency into episodic migraine (EM) and chronic migraine (CM). Medication overuse headache (MOH), a type of chronic headache, a...
Analysis of the difference between Alzheimer's disease, mild cognitive impairment and normal people by using fractal dimensions and small-world network [0.03%]
基于分形维数和小世界网络分析阿尔茨海默病、轻度认知障碍及正常人脑白质的差异性研究
Wei-Kai Lee,Clay Hinrichs,Yen-Ling Chen et al.
Wei-Kai Lee et al.
This research examined the distinctions in brain network characteristics among individuals with Alzheimer's disease (AD), mild cognitive impairment (MCI), and a control group. Magnetic resonance imaging (MRI) and mini-mental state examinati...
Comparative analysis of rs-fMRI markers in heat and mechanical pain sensitivity [0.03%]
热痛和机械痛敏感性的静息态功能磁共振标记的比较分析
Yung-Lin Chen,Li-Ling Hope Pan,David M Niddam et al.
Yung-Lin Chen et al.
This study investigates the comparative analysis of resting-state functional magnetic imaging (rs-fMRI) markers in heat and mechanical pain sensitivity among healthy adults. Using quantitative sensory testing (QST) in the orofacial area and...
Comparative Study
Progress in brain research. 2024:290:157-178. DOI:10.1016/bs.pbr.2024.07.004 2024
Enhancing facial feature de-identification in multiframe brain images: A generative adversarial network approach [0.03%]
基于生成对抗网络的多帧脑部图像面部特征去识别增强方法
Chung-Yueh Lien,Rui-Jun Deng,Jong-Ling Fuh et al.
Chung-Yueh Lien et al.
The collection of head images for public datasets in the field of brain science has grown remarkably in recent years, underscoring the need for robust de-identification methods to adhere with privacy regulations. This paper elucidates a nov...
Chih-Tsung Chang,Kai-Jun Pai,Chun-Hui Huang et al.
Chih-Tsung Chang et al.
This study delves into the application of Brain-Computer Interfaces (BCIs), focusing on exploiting Steady-State Visual Evoked Potentials (SSVEPs) as communication tools for individuals facing mobility impairments. SSVEP-BCI systems can swif...
Chih-Tsung Chang,Kai-Jun Pai,Chun-Hui Huang et al.
Chih-Tsung Chang et al.
The emergence of brain-computer interface (BCI) technology provides enormous potential for human medical and daily applications. Therefore, allowing users to tolerate the visual response of SSVEP for a long time has always been an important...