[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation] [0.03%]
[时间交变电磁刺激无创调控深部脑功能研究进展]
Ting Zhou,Peng Yu,Yajie Xu
Ting Zhou
This article presents a systematic review of the research progress on temporal interference (TI) electromagnetic stimulation for deep brain function modulation. It first analyzes the fundamental principle of generating low-frequency envelop...
[Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform] [0.03%]
基于元脑机接口开源软件平台的脑控无人飞行器系统
Ang Li,Jie Mei,Weize Chen et al.
Ang Li et al.
Brain computer interface (BCI) system includes multiple links such as stimulus presentation, data acquisition, signal processing, external device control and command feedback. As an open-source software platform which covers all links of BC...
[Closed-loop regulation system for paralyzed lower limb joint movement based on electrical stimulation of spinal central pattern generator] [0.03%]
基于脊髓中央模式发生器电刺激的瘫痪下肢关节运动闭环调节系统
Xiaoyan Shen,Xinlong Zhang,Xiongjie Lou et al.
Xiaoyan Shen et al.
Intraspinal microstimulation (ISMS) is a rehabilitation technology that activates muscle movement by electrically stimulating the spinal cord, thereby restoring the function of paralyzed limbs. In this study, a fuzzy logic-controlled self-t...
[Localizing target for transcranial electrical stimulation in epilepsy patients combining scalp electroencephalogram and neural computational model] [0.03%]
基于头皮脑电图和神经计算模型的结合定位癫痫患者的经颅电刺激目标部位
Yang Liu,Chunsheng Li,Yuxuan Han
Yang Liu
For patients with MRI-negative drug-resistant epilepsy, noninvasive localization of targets for transcranial electrical stimulation (tES) remains a clinical challenge. This study proposes a novel target localization approach that integrates...
[A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network] [0.03%]
[一种结合差异性注意力的多尺度自适应时序卷积网络的运动想象解码研究]
Zheng Dong,Xueliang Bao,Yabing Yang et al.
Zheng Dong et al.
Motor imagery electroencephalogram (MI-EEG) decoding algorithms face multiple challenges. These include incomplete feature extraction, susceptibility of attention mechanisms to distraction under low signal-to-noise ratios, and limited captu...
[Effects of 40 Hz light flicker stimulation on hippocampal-prefrontal neural activity characteristics during working memory tasks in Alzheimer's disease model rats] [0.03%]
[40赫兹光闪烁刺激对阿尔茨海默病模型大鼠工作记忆任务期间海马-前额叶神经活动特征的影响]
Suhong Liu,Longlong Wang,Shuangyan Li et al.
Suhong Liu et al.
40 Hz light flicker stimulation is deemed to hold considerable promise in the treatment of Alzheimer's disease (AD). However, whether its long-term effect can improve working memory and its related mechanisms remains to be further explored....
[Development and electrophysiological validation of a temporal interference transcranial magnetic stimulation system for mice] [0.03%]
[用于小鼠的时序干扰经颅磁刺激系统的研发及其电生理学验证]
Chao Cui,Tingyu Wang,Yanqing Zhang et al.
Chao Cui et al.
Although transcranial magnetic stimulation (TMS) is widely used in neuromodulation, conventional TMS struggles to achieve both depth and focal specificity. Temporal interference TMS (TI-TMS) offers a promising approach to enhance stimulatio...
[Application of nanomaterials-enhanced magnetic resonance imaging in precise diagnosis of pan-vascular diseases] [0.03%]
纳米材料增强磁共振技术在泛血管疾病精准诊断中的应用研究进展
Yao Li,Peisen Zhang,Ni Zhang
Yao Li
Pan-vascular diseases encompass a range of systemic conditions characterized by sharing a common pathologic basis of vascular deterioration. Due to the complexity of these diseases, a thorough understanding on their similarities and differe...
[Ethical considerations for artificial intelligence-enhanced brain-computer interface] [0.03%]
人工智能增强型脑机接口的伦理考量
Yuyu Cao,Yuhang Xue,Hengyuan Yang et al.
Yuyu Cao et al.
Artificial intelligence-enhanced brain-computer interfaces (BCI) are expected to significantly improve the performance of traditional BCIs in multiple aspects, including usability, user experience, and user satisfaction, particularly in ter...
[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges] [0.03%]
人工智能预测乳腺癌新辅助化疗病理完全缓解的现状、挑战及展望
Sunwei He,Xiujuan Li,Yuanzhong Xie et al.
Sunwei He et al.
With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies sign...