Perivascular fluid clearance links choroid plexus changes to cognitive performance in cerebral small vessel disease [0.03%]
Dan Luo,Bin Yang,Lisha Nie et al.
Dan Luo et al.
Choroid plexus (CP) dysfunction may impair cerebrospinal fluid (CSF) turnover and perivascular glymphatic clearance, but whether CP microstructural injury correlates to cerebral small vessel disease (CSVD)-related brain alteration and cogni...
Cognitive architecture and behavioral model based on social evidence and resource constraints [0.03%]
基于社会证据和资源约束的认知架构与行为模型
Anton Kolonin
Anton Kolonin
The cognitive architecture presented in this paper is expected to be able to explain certain aspects of human behavior, guide the development of artificial intelligence agents, and align the behavioral patterns of the latter with the former...
Reliability of electric field simulations in different age groups: impact of data quality metrics [0.03%]
不同年龄组中电场模拟的可靠性：数据质量指标的影响
Dayana Hayek,Axel Thielscher,Ulrike Grittner et al.
Dayana Hayek et al.
Electric field simulations based on individualized Magnetic Resonance Imaging (MRI)-derived head models are increasingly used to optimize non-invasive brain stimulation (NIBS) protocols, enabling individualized dose adjustments to achieve a...
Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection [0.03%]
多模态融合及人工智能模型的可解释性在阿尔茨海默症检测中的作用
Vimbi Viswan,Noushath Shaffi,E Malathy et al.
Vimbi Viswan et al.
The integration of multimodal data has emerged as a powerful strategy for enhancing the accuracy and interpretability of artificial intelligence (AI) models in the diagnosis and prognosis of Alzheimer's Disease (AD). This systematic review ...
Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution [0.03%]
基于学习的动态形态学卷积模拟三维神经元介观复杂度
Yik San Cheng,Runkai Zhao,Heng Wang et al.
Yik San Cheng et al.
Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions [0.03%]
解释性人工智能在空中交通管制中的应用：专家经验对工作负荷、接受度和使用意图的影响
Giulia Cartocci,Alexandre Veyrié,Nicola Cavagnetto et al.
Giulia Cartocci et al.
Explainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC). This study empirically investigates the e...
The independent prognostic value of brain diffusion tensor imaging in comatose patients after cardiac arrest [0.03%]
心脏骤停后昏迷患者的独立预后价值脑弥散张量成像
Xuejia Jia,Rui Shao,Yingying Li et al.
Xuejia Jia et al.
Background/objective: Predicting neurological outcomes in comatose cardiac arrest survivors remains challenging. Diffusion tensor imaging (DTI) offers potential as an objective biomarker of white matter injury, but its pr...
Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces [0.03%]
走出实验室：可穿戴EEG在被动脑机接口中的真实环境评估研究
Ronca Vincenzo,Cecchetti Marianna,Capotorto Rossella et al.
Ronca Vincenzo et al.
Purpose: Wearable EEG systems are increasingly used for brain-computer interface (BCI) applications beyond controlled laboratory environments. However, there is still limited evidence on their reliability in real-world co...
Machine learning with multitype functional connectivity uncovers whole-brain network disruption in primary angle-closure glaucoma [0.03%]
基于多模态功能连接的机器学习发现原发性闭角型青光眼全脑网络改变
Guangxiang Chen,Dekai Hu,Xin Huang et al.
Guangxiang Chen et al.
Primary angle-closure glaucoma (PACG), an irreversible blinding disease characterized by retinal ganglion cell damage and optic nerve atrophy, exerts significant effects on brain functional networks. Using resting-state functional magnetic ...
Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps [0.03%]
vision和卷积变压器在阿尔茨海默病诊断中的应用：架构、多模态融合及关键差距的系统性综述
Ibrahem Afifi,Mostafa Elgendy,Mohamed Abdelfatah et al.
Ibrahem Afifi et al.
Alzheimer's disease (AD), a significant public health challenge, requires accurate early diagnosis to improve patient outcomes. Vision Transformers (ViTs) and Convolutional Vision Transformers (CViTs) have emerged as powerful Deep Learning ...