Results 11 to 20 of about 12,752 (151)

Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation [PDF]

Human Brain Mapping, Volume 47, Issue 4, March 2026.
Using the proposed automated Untamed atlas generation pipeline, the resulting atlas achieves higher or comparable task contrast alignment relative to 14 baseline atlases. Ablation studies further show that incorporating spatial maps from NASCAR tensor decomposition yields higher resting‐state functional connectivity homogeneity compared to atlases ...
Yijun Liu, Jian Li, Jessica L. Wisnowski, Richard M. Leahy   +3 more
wiley   +2 more sources

Topological Signal Processing from Stereo Visual SLAM [PDF]

Sensors
Topological signal processing is emerging alongside Graph Signal Processing (GSP) in various applications, incorporating higher-order connectivity structures—such as faces—in addition to nodes and edges, for enriched connectivity modeling.
Eleonora Di Salvo, Tommaso Latino, Maria Sanzone, Alessia Trozzo, Stefania Colonnese   +4 more
doaj   +2 more sources

Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences [PDF]

Sensors, 2023
As a low-cost demand-side management application, non-intrusive load monitoring (NILM) offers feedback on appliance-level electricity usage without extra sensors.
Bochao Zhao, Xuhao Li, Wenpeng Luan, Bo Liu   +3 more
doaj   +2 more sources

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression [PDF]

Advanced Science, Volume 13, Issue 13, 3 March 2026.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai, Taipeng Sun, Mengzhen Feng, Gang Chen, Junchi Zhou, Hong Zhuang, Dan Wang, Ying Chen, Zhen Cheng, Zhi Xu, Xiao Zheng, Xueli Zhang, Yonggui Yuan   +12 more
wiley   +2 more sources

Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks [PDF]

Journal of Medical Signals and Sensors
Background: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations.
Maliheh Miri, Vahid Abootalebi, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat   +4 more
doaj   +2 more sources

Neuroadaptive changes in brain structural–functional coupling among pilots [PDF]

Frontiers in Neuroscience
BackgroundInvestigating the neural mechanisms underlying pilots’ brains is crucial for enhancing aviation safety. However, prior research has predominantly focused on identifying structural and functional differences in the brain, while the relationship ...
Xi Chen, Qingbin Meng, Qingsong Song, Peiran Xu, Shicong Zhang, Donglin Huang, Qi Chu, Jiamin Fan, Cheng Luo, Xiuyi Li   +9 more
doaj   +2 more sources

Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform [PDF]

Sensors
Gearboxes operate in challenging environments, which leads to a heightened incidence of failures, and ambient noise further compromises the accuracy of fault diagnosis.
Lan Chen, Xiangfeng Zhang, Zhanxiang Li, Hong Jiang   +3 more
doaj   +2 more sources

Decoding preparatory movement state-based motor imagery with multi layer energy decoder [PDF]

Journal of NeuroEngineering and Rehabilitation
Background Motor imagery (MI) is a widely used paradigm in brain-computer interface (BCI) research due to its potential applications in areas such as motor rehabilitation.
Yuxin Zhang, Mengfan Li, Miaomiao Guo, Guizhi Xu, Alan Wang   +4 more
doaj   +2 more sources

Kernelized multiview signed graph learning for single-cell RNA sequencing data [PDF]

BMC Bioinformatics, 2023
Background Characterizing the topology of gene regulatory networks (GRNs) is a fundamental problem in systems biology. The advent of single cell technologies has made it possible to construct GRNs at finer resolutions than bulk and microarray datasets ...
Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente   +3 more
doaj   +2 more sources

An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG [PDF]

npj Digital Medicine
Parkinson’s disease (PD) exhibits significant clinical heterogeneity, presenting challenges in the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning techniques have been integrated with resting-state EEG for PD diagnosis,
Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang, Xi Chen, Nan Yan, Hanjun Liu   +11 more
doaj   +2 more sources