A5100394115- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Multiple Sclerosis Research Studies
- Autoimmune Neurological Disorders and Treatments
- Neuroscience and Neuropharmacology Research
- Optical Imaging and Spectroscopy Techniques
- Genetic Neurodegenerative Diseases
- Neurological disorders and treatments
- Sleep and related disorders
- Obsessive-Compulsive Spectrum Disorders
- Face Recognition and Perception
- Sleep and Wakefulness Research
- Complex Network Analysis Techniques
- Attention Deficit Hyperactivity Disorder
- Visual Attention and Saliency Detection
- Heart Rate Variability and Autonomic Control
- Bioinformatics and Genomic Networks
- Neural and Behavioral Psychology Studies
- Alzheimer's disease research and treatments
- Epilepsy research and treatment
- Kawasaki Disease and Coronary Complications
South China Normal University
2019-2025
Ministry of Education of the People's Republic of China
2021-2025
Beckman Research Institute
2021
Tianjin Fourth Central Hospital
2021
Nankai University
2021
Tianjin Medical University
2021
City of Hope
2021
Anshan Hospital
2019
Hangzhou Normal University
2013-2018
Zhejiang Lab
2018
The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that connectomes constructed various neuroimaging technologies and further characterized sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing architectures of networks in healthy populations explore changes throughout normal development aging under pathological conditions. However, given huge complexity this methodology,...
Recent studies have suggested that the brain's structural and functional networks (i.e., connectomics) can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion MRI) further characterized graph theory. Given huge complexity of network construction, analysis statistics, toolboxes incorporating these functions are largely lacking. Here, we developed GRaph thEoreTical Network Analysis (GRETNA) toolbox for connectomics. The GRETNA contains several key features as...
Recent studies have demonstrated small-world properties in both functional and structural brain networks that are constructed based on different parcellation approaches. However, one fundamental but vital issue of the impact schemes network topological architecture remains unclear. Here, we used resting-state MRI (fMRI) to investigate influences atlases organization networks. Whole-brain fMRI data were divided into ninety seventy regions interest according two predefined anatomical atlases,...
The characterization of topological architecture complex brain networks is one the most challenging issues in neuroscience. Slow (<0.1 Hz), spontaneous fluctuations blood oxygen level dependent (BOLD) signal functional magnetic resonance imaging are thought to be potentially important for reflection neuronal activity. Many studies have shown that these highly coherent within anatomically or functionally linked areas brain. However, underlying mechanisms responsible intrinsic still poorly...
In the past decade, resting-state functional MRI (R-fMRI) measures of brain activity have attracted considerable attention. Based on changes in blood oxygen level-dependent signal, R-fMRI offers a novel way to assess brain's spontaneous or intrinsic (i.e., task-free) with both high spatial and temporal resolutions. The properties intra- inter-regional connectivity been well documented, promoting our understanding as complex network. Specifically, topological organization networks has...
Recent research on Alzheimer's disease (AD) has shown that the decline of cognitive and memory functions is accompanied by a disrupted neuronal connectivity characterized white matter (WM) degeneration. However, changes in topological organization WM structural network AD remain largely unknown. Here, we used diffusion tensor image tractography to construct human brain networks 25 patients 30 age- sex-matched healthy controls, followed graph theoretical analysis. We found both controls had...
Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart lifespan trajectory of topological organization human whole-brain networks in 126 healthy individuals ranging age from 7 85 years. Brain were constructed by computing Pearson's correlations blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed graph-based network analyses. observed...
Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, test-retest (TRT) reliability graph metrics networks not been systematically examined. Here, we investigated TRT topological brain derived from resting-state magnetic resonance imaging data. Specifically, evaluated both short-term (<1 hour apart) and long-term (>5 months for 12 global 6 local nodal metrics. We found that was overall low,...
Alzheimer's disease (AD) is associated not only with regional gray matter damages, but also abnormalities in functional integration between brain regions. Here, we employed resting-state magnetic resonance imaging data and voxel-based graph-theory analysis to systematically investigate intrinsic connectivity patterns of whole-brain networks 32 AD patients 38 healthy controls (HCs). We found that selectively targeted highly connected hub regions (in terms nodal strength) networks, involving...
Alzheimer's disease (AD) can be conceptualized as a disconnection syndrome. Both remitted geriatric depression (RGD) and amnestic mild cognitive impairment (aMCI) are associated with high risk for developing AD. However, little is known about the similarities differences in topological patterns of white matter (WM) structural networks between RGD aMCI. In this study, diffusion tensor imaging deterministic tractography were used to map human WM 35 patients, 38 aMCI 30 healthy subjects....
The anatomical connectivity of the human cerebral cortex resembles a "small-world" architecture, which is characterized by coexistence structurally segregated and integrative patterns. However, organizational differences in networks among individuals remain largely unknown. Here, we utilize diffusion tensor imaging tractography graph-theoretical approaches to investigate effects sex brain size on topological organization cortical network. Weighted were constructed from 72 young healthy...
Graph theoretical analysis of brain networks based on resting-state functional MRI (R-fMRI) has attracted a great deal attention in recent years. These analyses often involve the selection correlation metrics and specific preprocessing steps. However, influence these factors topological properties not been systematically examined. Here, we investigated influences metric choice (Pearson's versus partial correlation), global signal presence (regressed or not) frequency band [slow-5 (0.01–0.027...
Recent research has demonstrated the feasibility of combining functional near-infrared spectroscopy (fNIRS) and graph theory approaches to explore topological attributes human brain networks. However, test-retest (TRT) reliability application metrics these networks remains be elucidated. Here, we used resting-state fNIRS a graph-theoretical approach systematically address TRT as it applies various features networks, including connectivity, global network regional nodal centrality metrics....
The present study aimed to investigate changes in structural gray matter (GM) volume and functional amplitude of spontaneous low-frequency oscillations (LFO) connectivity density patients with subcortical vascular mild cognitive impairment (svMCI). Structural MRI resting-sate data were collected from 26 svMCI 28 age- gender-matched healthy controls. Structurally, widespread GM atrophy was found the that resided primarily frontal (e.g., superior middle gyri medial prefrontal cortex) temporal...
Abstract Neuroimaging studies have shown topological disruptions of both functional and structural whole-brain networks in major depressive disorder (MDD). This study examined common specific alterations between these two types whether the were differentially involved hemispheres. Multimodal MRI data collected from 35 MDD patients healthy controls, whose hemispheric constructed, characterized, compared. We found that brain profoundly altered at multiple levels, while largely intact with MDD....