Localization of epileptic foci from intracranial EEG using the GRU-GC algorithm [0.03%]
使用GRU-GC算法从颅内脑电中定位癫痫灶位置
Xiaojia Wang,Dayang Wu,Chunfeng Yang
Xiaojia Wang
Epilepsy is one of the most common clinical diseases, which is caused by abnormal discharge of brain nerves. Around 30% of patients will develop drug-resistant epilepsy that are hard to be cured by anti-epileptic drug treatment. This patien...
Harnessing the synergy of statistics and deep learning for BCI competition 4 dataset 4: a novel approach [0.03%]
统计与深度学习在BCI竞赛4数据集4中的协同应用：一种新方法
Gauttam Jangir,Nisheeth Joshi,Gaurav Purohit
Gauttam Jangir
Human brain signal processing and finger's movement coordination is a complex mechanism. In this mechanism finger's movement is mostly performed for every day's task. It is well known that to capture such movement EEG or ECoG signals are us...
Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline [0.03%]
基于机器学习的CSP、STFT和CSP-STFT融合在BCI流水线中跨多个冥想和非冥想阶段的EEG数据分类的新型比较分析方法研究
Nalinda D Liyanagedera,Corinne A Bareham,Heather Kempton et al.
Nalinda D Liyanagedera et al.
This study focuses on classifying multiple sessions of loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data. This novel study focuses on using multiple sessions of EEG data from a single individual to train ...
Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease [0.03%]
重新思考残差方法：利用统计学习在阿尔茨海默病中操作认知韧性
Colin Birkenbihl,Madison Cuppels,Rory T Boyle et al.
Colin Birkenbihl et al.
Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be dir...
CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids [0.03%]
钙离子零点工具箱：用于诱导多能干细胞来源大脑类器官的荧光成像工具箱
Xiaofu He,Yian Wang,Yutong Gao et al.
Xiaofu He et al.
Calcium plays an important role in regulating various neuronal activities in human brains. Investigating the dynamics of the calcium level in neurons is essential not just for understanding the pathophysiology of neuropsychiatric disorders ...
Venkatesh Upadrista,Sajid Nazir,Huaglory Tianfield
Venkatesh Upadrista
A digital twin is a virtual model of a real-world system that updates in real-time. In healthcare, digital twins are gaining popularity for monitoring activities like diet, physical activity, and sleep. However, their application in predict...
Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model [0.03%]
一种新型情感感知器模型通过单模态EEG提升跨主题情绪识别精度
Yihang Dong,Changhong Jing,Mufti Mahmud et al.
Yihang Dong et al.
Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. As the demand for affective computing technology grow...
A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects [0.03%]
一种基于时空谱图卷积神经网络的跨被试脑电情绪识别方法
Rui Li,Xuanwen Yang,Jun Lou et al.
Rui Li et al.
EEG-based emotion recognition uses high-level information from neural activities to predict emotional responses in subjects. However, this information is sparsely distributed in frequency, time, and spatial domains and varied across subject...
Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines [0.03%]
可解释的大脑年龄预测：形态计量和深度学习管线的比较评估
Maria Luigia Natalia De Bonis,Giuseppe Fasano,Angela Lombardi et al.
Maria Luigia Natalia De Bonis et al.
Brain age, a biomarker reflecting brain health relative to chronological age, is increasingly used in neuroimaging to detect early signs of neurodegenerative diseases and support personalized treatment plans. Two primary approaches for brai...
High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks [0.03%]
基于微分引导滤波的神经网络在高通量介观光学成像数据分析中的应用
Hong Zhang,Zhikang Lu,Peicong Gong et al.
Hong Zhang et al.
High-throughput mesoscopic optical imaging technology has tremendously boosted the efficiency of procuring massive mesoscopic datasets from mouse brains. Constrained by the imaging field of view, the image strips obtained by such technologi...