A5076914529- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Neural and Behavioral Psychology Studies
- Neonatal and fetal brain pathology
- Optical Imaging and Spectroscopy Techniques
- Neurological disorders and treatments
- Health, Environment, Cognitive Aging
- Attention Deficit Hyperactivity Disorder
- Advanced Memory and Neural Computing
- Gene expression and cancer classification
- Neuroscience and Music Perception
- Blind Source Separation Techniques
- Fetal and Pediatric Neurological Disorders
- Neural Networks and Applications
- Heart Rate Variability and Autonomic Control
- Bioinformatics and Genomic Networks
- Tryptophan and brain disorders
- Birth, Development, and Health
- Single-cell and spatial transcriptomics
- Neuroscience and Neuropharmacology Research
- Music and Audio Processing
The University of Sydney
2020-2025
Chengdu Medical College
2025
University of Science and Technology of China
2024
Chinese Academy of Sciences
2024
The University of Melbourne
2019-2024
Baotou Medical College
2024
Melbourne Health
2020-2021
Qingdao University
2020
Affiliated Hospital of Qingdao University
2020
University of Georgia
2013-2018
Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex (DLPFC) is an established treatment for refractory depression, however, therapeutic outcomes vary. Mounting evidence suggests that clinical response relates to functional connectivity with subgenual cingulate (SGC) at precise DLPFC site. Critically, SGC-related network architecture shows considerable interindividual variation across spatial extent DLPFC, indicating connectivity-based target...
Towards developing effective and efficient brain-computer interface (BCI) systems, precise decoding of brain activity measured by electroencephalogram (EEG), is highly demanded. Traditional works classify EEG signals without considering the topological relationship among electrodes. However, neuroscience research has increasingly emphasized network patterns dynamics. Thus, Euclidean structure electrodes might not adequately reflect interaction between signals. To fill gap, a novel deep...
For decades, it has been largely unknown to what extent multiple functional networks spatially overlap/interact with each other and jointly realize the total cortical function. Here, by developing novel sparse representation of whole-brain fMRI signals using recently publicly released large-scale Human Connectome Project high-quality data, we show that a number reproducible robust networks, including both task-evoked resting state are simultaneously distributed in distant neuroanatomic areas...
Convoluted cortical folding and neuronal wiring are 2 prominent attributes of the mammalian brain. However, macroscale intrinsic relationship between these general cross-species attributes, as well underlying principles that sculpt architecture cerebral cortex, remains unclear. Here, we show axonal fibers connected to gyri significantly denser than those sulci. In human, chimpanzee, macaque brains, a dominant fraction were found be gyri. This finding has been replicated in range brains via...
The hippocampus supports multiple cognitive functions including episodic memory. Recent work has highlighted functional differences along the anterior–posterior axis of human hippocampus, but neuroanatomical underpinnings these remain unclear. We leveraged track-density imaging to systematically examine anatomical connectivity between cortical mantle and in vivo hippocampus. first identified most highly connected areas detailed degree which they preferentially connect Then, using a...
The potential of normative modeling to make individualized predictions from neuroimaging data has enabled inferences that go beyond the case-control approach. However, site effects are often confounded with variables interest in a complex manner and can bias estimates models, which impeded application models large multi-site sets. In this study, we suggest accommodating for these by including them as random hierarchical Bayesian model. We compared performance linear non-linear model effect...
Abstract Brain morphology differs markedly between individuals with schizophrenia, but the cellular and genetic basis of this heterogeneity is poorly understood. Here, we sought to determine whether cortical thickness (CTh) in schizophrenia relates interregional variation distinct neural cell types, as inferred from established gene expression data person-specific genomic variation. This study comprised 1849 participants total, including a discovery (140 cases 1267 controls) validation...
Abstract Motor Neuron Disease (MND) is associated with significant non-motor symptoms, including the loss of appetite. Loss appetite has emerged as a dominant feature disease that may contribute to negative energy balance, faster progression and earlier death. We examined prevalence impact analysed neural correlates visual food stimuli prandial status in people living MND (plwMND). 157 plwMND 120 non-neurodegenerative controls (NND Controls) were assessed for anthropometric, metabolic,...
Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via predefined stimulus paradigm in the scan. Traditionally, general linear model (GLM) a dominant approach detect task-evoked networks. However, GLM focuses on or event-evoked responses and possibly ignores intrinsic functions. In comparison, dictionary learning sparse coding methods have attracted much attention recently, these shown promise of automatically systematically decomposing signals into meaningful...
Abstract The recently publicly released Human Connectome Project (HCP) grayordinate‐based fMRI data not only has high spatial and temporal resolution, but also offers group‐corresponding signals across a large population for the first time in brain imaging field, thus significantly facilitating mapping functional architecture with much higher resolution group‐wise fashion. In this article, we adopt HCP grayordinate task‐based (tfMRI) to systematically identify characterize heterogeneous...
In this work, we conduct comprehensive comparisons between four variants of independent component analysis (ICA) methods and three sparse dictionary learning (SDL) methods, both at the subject-level, by using synthesized fMRI data with ground-truth. Our results showed that ICA perform very well slightly better than SDL when functional networks' spatial overlaps are minor, but have difficulty in differentiating networks moderate or significant overlaps. contrast, algorithms consistently no...
Abstract Introduction Clarifying the role of neuroinflammation in schizophrenia is subject to its detection living brain. Free-water (FW) imaging an vivo diffusion-weighted magnetic resonance (dMRI) technique that measures water molecules freely diffusing brain and hypothesized detect inflammatory processes. Here, we aimed establish a link between peripheral markers inflammation FW white matter. Methods All data were obtained from Australian Schizophrenia Research Bank (ASRB) across 5 states...
Abstract Blind source separation (BSS) is commonly used in functional magnetic resonance imaging (fMRI) data analysis. Recently, BSS models based on restricted Boltzmann machine (RBM), one of the building blocks deep learning models, have been shown to improve brain network identification compared conventional single matrix factorization such as independent component analysis (ICA). These however, trained RBM fMRI volumes, and are hence challenged by model complexity limited training set. In...
Abstract As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical, and legal barriers effectively enabled individuals from groups that have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g., caregiving responsibilities. Yet,...
Complex cognitive abilities are thought to arise from the ability of brain adaptively reconfigure its internal network structure as a function task demands. Recent work has suggested that this inherent flexibility may in part be conferred by widespread projections ascending arousal systems. While different components system often studied isolation, there anatomical connections between neuromodulatory hubs we hypothesise crucial for mediating key features adaptive dynamics, such balance...
Abstract Human interactions with the world are influenced by memories of recent events. This effect, often triggered perceptual cues, occurs naturally and without conscious effort. However, neuroscience involuntary memory in a dynamic milieu has received much less attention than mechanisms voluntary retrieval deliberate purpose. Here, we investigate neural processes driven naturalistic cues that relate to, presumably trigger experiences. Viewing continuation recently viewed clips evokes...
Recognition accuracy and response time are both critically essential ahead of building the practical electroencephalography (EEG)-based brain-computer interface (BCI). However, recent approaches have compromised either classification or responding time. This paper presents a novel deep learning approach designed toward remarkably accurate responsive motor imagery (MI) recognition based on scalp EEG. Bidirectional long short-term memory (BiLSTM) with attention mechanism is employed, graph...
Abstract Background Childhood-onset attention-deficit hyperactivity disorder (ADHD) in adults is clinically heterogeneous and commonly presents with different patterns of cognitive deficits. It unclear if this clinical heterogeneity expresses a dimensional or categorical difference ADHD. Methods We first studied differences functional connectivity multi-echo resting-state magnetic resonance imaging (rs-fMRI) acquired from 80 medication-naïve ADHD 123 matched healthy controls. then used...