A5063187132- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Psychosomatic Disorders and Their Treatments
- Neuroscience and Neural Engineering
- Blind Source Separation Techniques
- Heart Rate Variability and Autonomic Control
- Generative Adversarial Networks and Image Synthesis
- Technology and Human Factors in Education and Health
- Recycling and Waste Management Techniques
- Paranormal Experiences and Beliefs
- Advanced Image Processing Techniques
- Biomedical and Engineering Education
- VLSI and Analog Circuit Testing
- Image Processing Techniques and Applications
- Nutritional Studies and Diet
- Microplastics and Plastic Pollution
- Child and Adolescent Psychosocial and Emotional Development
- Mental Health and Psychiatry
- Music Therapy and Health
- Face recognition and analysis
- Parkinson's Disease Mechanisms and Treatments
- Genetics, Aging, and Longevity in Model Organisms
- Educational Games and Gamification
Hiroshima University
2021-2024
National Cheng Kung University
2024
National Yang Ming Chiao Tung University
2009-2021
Nanyang Technological University
2019
Montreal Neurological Institute and Hospital
2015
McGill University
2015
International Institute of Information Technology, Hyderabad
2015
National Taiwan Normal University
2005-2006
Microplastics are an emerging environmental contaminant. Existing knowledge on the precise transport processes involved in movement of microplastics natural water bodies is limited. Microplastic fate-transport models rely numerical simulations with limited empirical data to support and validate these models. We adopted fluorometric principles track both fluorescent dye florescent stained (polyethylene) purpose-built laboratory flumes standard fibre-optic fluorometers. Neutrally buoyant...
Interoception, the neural sensing of visceral signals, and interoceptive awareness (IA), conscious perception interoception, are crucial for life survival functions mental health. Resilience, capacity to overcome adversity, has been associated with reduced disturbances. Here, we sought evidence our Insula Modular Active Control (IMAC) model that suggest insula, a brain region specialized in processing information, realizes IA contributes resilience health via cortico-subcortical connections.
Interoceptive awareness (IA), the subjective and conscious perception of visceral physiological signals from body, has been associated with functions cortical subcortical neural systems involved in emotion control, mood anxiety disorders. We recently hypothesized that IA its contributions to mental health are realized by a brain interoception network (BIN) linking regions receive ascending interoceptive information brainstem, such as amygdala, insula anterior cingulate cortex (ACC). However,...
Abstract Inflammatory events may contribute to the pathogenesis of Parkinson's disease (PD). We conducted a case‐control study in cohort 369 PD cases and another 326 ethnically matched controls investigate association tumor necrosis factor‐α ( TNF‐α ) promoter single nucleotide polymorphisms (SNPs) with risk PD. The overall genotype distribution at T‐1031C C‐857T sites showed significant difference between P = 0.0062 0.0035, respectively). However, only more frequent −1031 CC was evidently...
Abstract Trust attitude is a social personality trait linked with the estimation of others’ trustworthiness. Trusting others, however, can have substantial negative effects on mental health, such as development depression. Despite significant progress in understanding neurobiology trust, whether neuroanatomy trust depression vulnerability remains unknown. To investigate link between and vulnerability, we assessed depressive symptoms employed neuroimaging to acquire brain structure data...
This study was to determine whether polymorphisms of heat shock protein 70-1 (HSP70-1) and tumor necrosis factor alpha (TNF-alpha) are associated with the risk Alzheimer's disease (AD) vascular dementia (VaD). Using criteria NINCDS-ADRDA NINDS-AIREN, 125 AD patients, 57 VaD patients 109 ethnically matched nondemented controls were enrolled. The HSP70-1 -110 A/C TNF-alpha -1031 T/C, -863 C/A -857 C/T analyzed by means genotype or haplotype association methods. None four genotypes examined...
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Iddq testing has been a critical integral component in test suites for screening unreliable devices. As the silicon technology keeps shrinking, values and their variation increase as well. Moreover, along with rapid design scaling, defect-induced leakage currents become less significant when compared to full-chip current also make themselves distinguishable. Traditional methods effective cause more escapes yield loss. Therefore, this paper, new method named σ-Iddq is proposed integrates (1)...
Objective. Neural communication or the interactions of brain regions play a key role in formation functional neural networks. A type can be measured form phase–amplitude coupling (PAC), which is between phase low-frequency oscillations and amplitude high-frequency oscillations. This paper presents beamformer-based imaging method, PAC (BIPAC), to quantify strength seed region other regions. Approach. dipole used model ensemble activity within group nearby neurons represents mixture multiple...
Independent component analysis (ICA) has been widely used to attenuate interference caused by noise components from the electromagnetic recordings of brain activity. However, scalp topographies and associated temporal waveforms provided ICA may be insufficient distinguish functional artifactual ones. In this work, we proposed two selection methods, both which first estimate cortical distribution activity for each component, then determine based on parcellation mapped onto surface. Among all...
Phase-amplitude coupling (PAC) between neural oscillations of different frequencies plays a crucial role in cognitive processing. Assessing the PAC at both sensor and source levels may encounter problem spurious because volume conduction, field spread, leakage. This paper presents novel method, beamformer-based imaging (BIPAC), to estimate sources from electromagnetic signals. For each targeted brain region, this method can extract component with maximum reference signal. The results two...
Neuroscience studies have revealed that the brain encodes visual content and embeds information in neural activity. Recently, deep learning techniques facilitated attempts to address reconstructions by mapping activity image stimuli using generative adversarial networks (GANs). However, none of these considered semantic meaning latent code space. Omitting could potentially limit performance. In this study, we propose a new framework reconstruct facial images from functional Magnetic...
Synchrony is a phenomenon of local-scale and long-range integrations within brain circuit. Synchronous activities manifest themselves in similar temporal structures that can be statistically quantified by correlation. In previous studies, synchronous were estimated calculating the correlation coefficient or coherence between single reference signal activity region. However, circuit may involve multiple regions these communicate to each other through different patterns. Therefore, signals...
Motor-imagery-based brain computer interface has advantages in high information transition rate and potential to achieve portability without using a display for visual stimulation. However, electroencephalographic data is mixture of neural activity from various locations also external artifacts. This paper presents novel method utilizing source-level features computed based on maximum contrast beamformer. The estimated source the between power during reference period that event-related...
Cross-frequency phase-phase coupling (n:m CFC) within a cortical region has been proposed as potential mechanism to regulate neural communication between different temporal scales. This study investigated n:m CFC values high and low frequencies in resting-state networks using magnetoencephalographic (MEG) data. Simulation experiments with frequency pairs were first conducted evaluate the effect of SNR on estimation phase CFC. The each pair delta, theta, alpha, beta, gamma estimated from...
Neuroscience studies have revealed that the brain encodes visual content and embeds information in neural activity. Recently, deep learning techniques facilitated attempts to address reconstructions by mapping activity image stimuli using generative adversarial networks (GANs). However, none of these considered semantic meaning latent code space. Omitting could potentially limit performance. In this study, we propose a new framework reconstruct facial images from functional Magnetic...
Abstract Recent studies have highlighted the essential role of interoception in healthy emotional processing and pathology major depressive disorder. However, it is unclear how individual differences people with high depression risk (HDR; i.e., risk) are related to neurophysiological underpinnings reactions under different degrees certainty. We examined whether an individual’s mediates relationships heartbeat-evoked potentials (HEPs), a marker cardiac interoception, heart rate (HR)...