高教深耕計畫

• 應用人工智慧和多模態神經生理訊號於強化數位精準戒隱治療(第二年延續計畫)
  1140101~1141231
  

• 應用人工智慧和多模態神經生理訊號於強化數位精準戒癮治療
  1130101~1131231
  

• 探討虛擬實境對於乳癌病人化學治療期間症狀困擾與心理調適之成效-延續性計畫
  1130101~1131231
  

國科會計畫統計

• 運用人工智慧於小鼠研究:建置跨平台AI分析系統以研究基因編輯動物其神經生理訊號和生化分子與行為之關係和其數位分身
  1140801~1150731
  

• 大腦與益生菌:以動物與人體實驗研究細菌對大腦的影響
  1130801~1140731
  [益生菌,自閉症,腸腦軸,短鏈脂肪酸,益生原,皮腦軸 , probiotics,ASD,gut-brain axis,short chain fatty acids,prebiotics,skin-brain axis]

• 大腦與益生菌:以動物與人體實驗研究細菌對大腦的影響
  1120801~1130731
  [益生菌,自閉症,腸腦軸,短鏈脂肪酸,益生原,皮腦軸 , probiotics,ASD,gut-brain axis,short chain fatty acids,prebiotics,skin-brain axis]

• 探討皮膚菌存在對大腦腦電波功能性訊號的影響
  1080801~1090731
  [人體微生物總體, 發酵反應, 腦電圖 , human skin microbiome,Fermentation,EEG]

• 以腦電圖研究肌張力不全病患的非線性神經網路連結
  1070801~1080731
  [寫字型手部痙攣症,腦電波 ,大腦神經網路異常,神經標記 , Writer’s cramp, EEG, network alternation,neuromarkers]

• 中風後上肢復健運動之成效預測
  1050801~1060731
  [神經標記, 成效預測因子, 大腦可塑性, 機器學習, 動態因果模型 , Neuromarkers, outcome predictor, brain plasticity, machine learning, DCM]

產學合作計畫統計

• 應用腦電圖與相關臨床因子預測中風病人復原與模型比對
  1080401~1090331
  

• 應用腦電圖與相關臨床因子預測中風病人復原與模型比對
  1070401~1080331
  

• 應用腦電圖與相關臨床因子預測中風病人復原與模型比對
  1060101~1070331
  

期刊著作

• Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder
  IEEE Journal of Translational Engineering in Health and Medicine, 13, 1-8, 2025-01-01
  [ bio-signal,data fusion,electrocardiography (ECG),electroencephalography (EEG),galvanic skin response (GSR),heart rate variability (HRV),machine learning,Methamphetamine (MA),multimodal data,virtual reality (VR) ]

• Exploring the possible relationship between skin microbiome and brain cognitive functions: a pilot EEG study
  Scientific Reports, 14, 1, 2024-12-01

• Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention-Deficit/Hyperactivity Disorder
  IEEE Journal of Translational Engineering in Health and Medicine, 12, 668-674, 2024-01-01
  [ assessment,Attention-deficit/hyperactivity disorder,deep learning,multi-model fusion,virtual reality ]

• Mobile Virtual Assistant for Multi-Modal Depression-Level Stratification
  IEEE Transactions on Affective Computing, 2024-01-01
  [ Biomedical monitoring,Convolutional neural networks,Depression,depression recognition,Face recognition,Feature extraction,multi-modal fusion,Virtual assistants,virtual human,Visualization ]

• Impaired Brain-Heart Relation in Patients With Methamphetamine Use Disorder During VR Induction of Drug Cue Reactivity
  IEEE Journal of Translational Engineering in Health and Medicine, 12, 1-9, 2024-01-01
  [ EEG,heart rate variability (HRV),impaired brain-heart relation,methamphetamine use disorder (MUD),Neuronal abnormalities,virtual reality (VR) ]

• Evaluation of a decided sample size in machine learning applications
  BMC Bioinformatics, 24, 1, 2023-12-01
  [ Criteria,Effect sizes,Machine learning,Sample size ]

• Bacillus amyloliquefaciens Increases the GABA in Rice Seed for Upregulation of Type I Collagen in the Skin
  Current Microbiology, 80, 4, 2023-04-01

• Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 1302-1310, 2023-01-01
  [ Attention deficit/hyperactivity disorder (ADHD),continuous performance test (CPT),distractions,electroencephalography (EEG),go/no-go task,machine learning,virtual reality (VR) ]

• Extracellular electrons transferred from honey probiotic Bacillus circulans inhibits inflammatory acne vulgaris
  Scientific Reports, 12, 1, 2022-12-01

• Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder
  IEEE Journal of Biomedical and Health Informatics, 26, 7, 3458-3465, 2022-07-01
  [ EEG,methamp-hetamine use disorder (MUD),neuronal abnormalities,resting-state,virtual reality (VR) ]

• Propionic acid produced by Cutibacterium acnes fermentation ameliorates ultraviolet B-induced melanin synthesis
  Scientific Reports, 11, 1, 2021-12-01

• Low-frequency oscillations in cortical level to help diagnose task-specific dystonia
  Neurobiology of Disease, 157, 2021-09-01
  [ EEG,Effective connectivity,Low frequency (LF),Machine learning,Task-specific dystonia (TSD),Wrist extension ]

• An intelligent virtual-reality system with multi-model sensing for cue-elicited craving in patients with methamphetamine use disorder
  IEEE Transactions on Biomedical Engineering, 68, 7, 2270-2280, 2021-07-01
  [ electrocardiogram (ECG),eye tracking,Galvanic Skin Response (GSR),Heart Rate Variability (HRV),machine learning,Methamphetamine,virtual reality (VR) ]

• A Machine-Learning-Based Assessment Method for Early-Stage Neurocognitive Impairment by an Immersive Virtual Supermarket
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 2124-2132, 2021-01-01
  [ Alzheimer’s disease,assessment,Cognitive impairment,machine learning,virtual reality ]

• Synchrony Between Default-Mode and Sensorimotor Networks Facilitates Motor Function in Stroke Rehabilitation: A Pilot fMRI Study
  Frontiers in Neuroscience, 14, 2020-06-16
  [ functional connectivity,motor,neuroplasticity,rehabilitation,resting-state functional MRI,stroke ]

• An EEG-Based Attentiveness Recognition System Using Hilbert–Huang Transform and Support Vector Machine
  Journal of Medical and Biological Engineering, 40, 2, 230-238, 2020-04-01
  [ Attentiveness,Electroencephalogram,Hilbert-Huang transform,Machine learning ]

• Distinguishing the visual working memory training and practice effects by the effective connectivity during n-back tasks: A DCM of ERP study
  Frontiers in Behavioral Neuroscience, 13, 2019-04-30

• EEG-based motor network biomarkers for identifying target patients with stroke for upper limb rehabilitation and its construct validity
  PLoS ONE, 12, 6, 2017-06-01

• Neuronal correlates of a virtual-reality-based passive sensory P300 network
  PLoS ONE, 9, 11, 2014-11-17

• Accelerating Computation of DCM for ERP in MATLAB by External Function Calls to the GPU
  PLoS ONE, 8, 6, 2013-06-26

• A dynamic causal model for evoked and induced responses
  , 59, 1, 340-348, 2012-01-02

• Nonlinear coupling in the human motor system
  Journal of Neuroscience, 30, 25, 8393-8399, 2010-06-23

• Dynamic causal modeling for EEG and MEG
  Human Brain Mapping, 30, 6, 1866-1876, 2009-06-01
  [ Bayesian analysis,EEG,MEG,Network model ]

• Forward and backward connections in the brain: A DCM study of functional asymmetries
  NeuroImage, 45, 2, 453-462, 2009-04-01
  [ Backward connection,Dynamic causal modelling,Induced responses,Neuronal dynamics,Nonlinear coupling,Predictive coding,Recurrent connection,Reentrant dynamics,Spectral responses ]

• Dynamic causal modelling of induced responses
  NeuroImage, 41, 4, 1293-1312, 2008-07-15
  [ Dynamic causal modelling,Induced responses,Neuronal dynamics,Non-linear coupling,Spectral,Synchronisation ]

• Mutual-Information-Based Approach for Neural Connectivity during Self-Paced Finger Lifting Task
  , 29, 3, 265-280, 2008-03-01
  [ Coherence , Corticomuscular communication , Functional connectivity , Magnetoencephalography , Surface electromyogram , TFCMI , Time-frequency cross mutual information ]

• Effects of cognitive demands on postmovement motor cortical deactivation
  , 17, 4, 371-375, 2006-06-21
  [ Cognitive demands , Intermovement interval , Latency jittering , Magnetoencephalography , Postmovement β-rebound , Single-trial analysis ]

研討會著作

• Intelligent ADHD Detection Using Explainable Multimodal Fusion Model
  1713-1718, 2024-01-01
  [ Attention Deficit/Hyperactivity Disorder (ADHD),Explainable Artificial Intelligence (XAI),multimodal fusion,neurobehavioral data,Virtual Reality (VR) ]

• Using wearable sensors to study the brain-heart interactions during attentional and resting states
  13-14, 2023-01-01
  [ brain-heart interaction,EEG,HRV,wearable sensor ]

• Multiclass Classification of EEG Motor Imagery Signals Based on Transfer Learning
  140-143, 2022-01-01
  [ Deep Learning,EEG,multi-category classification,Transfer Learning ]

• A guideline to determine the training sample size when applying big data mining methods in clinical decision making
  678-681, 2018-06-22
  [ Artificial intelligence , Big data mining , Guideline , Heterogeneous data , Sample size ]

• The changes of improvement-related motor kinetics after virtual reality based rehabilitation
  683-685, 2017-07-21
  [ Individualized treatment , Kinematic Features , Virtual reality (VR) based rehabilitation ]

• The movement-related cortical activities under the virtual environment with force feedback
  11-12, 2015-04-03
  [ rehabilitation , virtual reality ]

• Accelerating computation of DCM for ERP with GPU-based parallel strategy
  679-684, 2012-11-28
  [ CUDA , Dynamic causal modelling , Expectation maximization , Parallel computing ]

• Message from UIPM-12 workshop chairs
  2012-11-28