A5100454184- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Metamaterials and Metasurfaces Applications
- Advanced MRI Techniques and Applications
- Orbital Angular Momentum in Optics
- Heart Rate Variability and Autonomic Control
- Neural and Behavioral Psychology Studies
- Stroke Rehabilitation and Recovery
- Impact of Technology on Adolescents
- Advanced Neuroimaging Techniques and Applications
- Bipolar Disorder and Treatment
- Advanced Antenna and Metasurface Technologies
- Attention Deficit Hyperactivity Disorder
- Black Holes and Theoretical Physics
- Treatment of Major Depression
- Cosmology and Gravitation Theories
- Circadian rhythm and melatonin
- Photoreceptor and optogenetics research
- Advanced Measurement and Detection Methods
- Sperm and Testicular Function
- Neuroscience and Neural Engineering
- CCD and CMOS Imaging Sensors
- Embedded Systems and FPGA Design
First Affiliated Hospital of GuangXi Medical University
2024-2025
Guangxi Medical University
2024-2025
Taizhou People's Hospital
2024
Nanjing Medical University
2023-2024
Nantong University
2024
University of Electronic Science and Technology of China
2024
Nanjing Brain Hospital
2023
First Affiliated Hospital of Zhengzhou University
2022
Weatherford College
2022
Chongqing University of Posts and Telecommunications
2008-2021
Abstract There are limited resting‐state functional magnetic resonance imaging (fMRI) studies in major depressive disorder (MDD). Of these studies, connectivity analyses mostly used. However, a new method based on the magnitude of low frequency fluctuation (LFF) during fMRI may provide important insight into MDD. In this study, we examined amplitude LFF (ALFF) within whole brain 30 treatment‐naïve MDD subjects and healthy control (HC) subjects. When compared with HC, showed increased ALFF...
The default-mode network (DMN) is a set of functionally connected regions that play crucial roles in internal cognitive processing. Previous resting-state fMRI studies have demonstrated the intrinsic functional organization DMN undergoes remarkable reconfigurations during childhood and adolescence. However, these mainly focused on cross-sectional designs with small sample sizes, limiting consistency interpretations findings. Here, we used large longitudinal data comprising 305 typically...
Major depressive disorder (MDD) is approximately twice as common in females than males. Furthermore, female patients with MDD tend to manifest comorbid anxiety. Few studies have explored the potential anatomical and functional brain changes associated females. Therefore, purpose of present study was investigate underlying females, especially within context anxiety.In this study, we recruited antidepressant-free (N = 35) healthy controls (HC; N 23). The severity depression anxiety were...
Abstract Recent studies have revealed structural and functional abnormalities in amygdala due to Internet addiction (IA) associated with emotional disturbance. However, the role of connectivity that is responsible for emotion-cognition interactions largely unknown IA. This study aims explore The bilateral were examined using seed-based analysis, integrity on white mater tracts passing through was also examined. Additionally, a correlation analysis performed investigate relationship between...
Post-stroke depression (PSD) is a common sequela of stroke and neuropsychiatric disorder associated with poor recovery, significant cognitive deficits, reduced quality life. Many natural products (NPs), known for their diverse biological activities, low toxicity, as well multi-targeting capabilities, offer distinct advantages in PSD treatment by modulating pathological mechanisms. However, comprehensive summary the mechanisms molecular NPs intervention currently lacking. This review aimed to...
Abstract Aerobic exercise is effective in alleviating mood symptoms while the mechanism poorly understood. There are limited clinical trials that investigated effect of on anterior cingulate cortex (ACC), a key brain region involved regulations, adolescents with subthreshold syndromes. This randomized controlled trial (RCT) aerobic was undertaken middle school Guangzhou, China. Participants were aged 12–14 syndromes including depressive and manic randomly assigned to an intervention or...
Abstract Many unsupervised methods are widely used for parcellating the brain. However, aren’t able to integrate prior information, obtained from such as exiting functional neuroanatomy studies, parcellate brain, whereas information guided semi-supervised method can generate more reliable brain parcellation. In this study, we propose a novel clustering into spatially and functionally consistent parcels based on resting state magnetic resonance imaging (fMRI) data. Particularly, supervised...
Quantitative resting-state electroencephalography (rs-EEG) is a convenient method for characterizing the functional impairments and adaptations of brain that has been shown to be valuable assessing many neurological psychiatric disorders, especially in monitoring disease status assisting neuromodulation treatment. However, it not yet explored patients with neuromyelitis optica spectrum disorder (NMOSD). This study aimed investigate rs-EEG features NMOSD explore related characteristics...
The extended holographic dark energy model with the Hubble horizon as infrared cutoff avoids problem of circular reasoning model. We show that cannot be provided Brans–Dicke parameter ω satisfies experimental constraint ω>104, and this is proved a no-go theorem. theorem also applies to case in which matter interacts energy.
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This study aimed to analyze the changes in brain networks functional connectivity of pilots exposed simulated hypoxia using resting-state magnetic resonance imaging (fMRI). A total 35 healthy male 14.5% oxygen concentration (corresponding an altitude 3000 m) underwent fMRI scans. The independent component analysis (ICA) approach was used after hypoxic exposure, and 9 common components were identified. In connections that showed significant group differences, linear regression examine...
Orbital angular momentum (OAM) has attracted considerable attention as a novel solution for ultra-high spectrum efficiency wireless communications. However, researches have focused on the line-of-sight (LOS) scenario and two-ray non-LOS model. In addition, model cannot be applied to certain scenarios e.g. streets, valleys, tunnels, etc. To address this problem, we derive propagation of uniform-circular-array-based OAM communications in six-ray canyon channels. This paper gives full...
Evidence from cognitive neuroscience indicates that subcortical regions, especially the pulvinar region of thalamus, are involved in semantic processing. In current study, graph-based methods were used to investigate whether a cortical–subcortical network is vocabulary addition traditional resting-state functional connectivity (rsFC) analysis between local brain areas, we applied novel method validate interaction hubs and pulvinar. Unlike rsFC, new metrics assessed rsFC pattern similarity...
Abstract Connectional topography mapping has been gaining widespread attention in human brain imaging studies. However, existing methods might not effectively utilize the information from neuroimaging data, thus hindering understanding of underlying connectional organization and uncovering optimal clustering number data. In this study, we propose a novel method for automated construction inherent functional connectivity data‐driven manner by leveraging power co‐clustering‐based on resting...
In this paper, time modulation technique is applied to concentric circular arrays for synthesizing orbital angular momentum (OAM) beams with lower sidelobe levels. Compared traditional arrays, time-modulated (TMCCAs) add a high-speed RF switch each array element. TMCCAs can simultaneously generate multiple OAM by periodically controlling the working state of elements. Furthermore, genetic algorithm (GA) exploited optimize switch-on duration Results show that under condition equal amplitude...
Abstract The abnormalities in static brain activity patients with post-stroke depression (PSD) have been widely reported. However, the dynamics of neural PSD remain enigmatic. We investigated dynamic amplitude low-frequency fluctuation (dALFF) method. Imaging and clinical data from 25 28 without collected April 2020 to June 2023 were evaluated. between-group comparisons dALFF variance state properties conducted using a combined approach sliding window clustering analysis. correlation...
Abstract Connection topography mapping is crucial for understanding how information processed in the brain, which an essential precursor revealing principles of brain organization. However, existing connectopic methods are dependent on prior knowledge, or not completely driven by data. Accordingly, constructed connection topographies these biased towards hypotheses, deviate from For challenges, we propose a novel co-clustering based method fully data-driven manner. The proposed aims to...
Electromagnetic orbital angular momentum (OAM) as the promise of enhancing spectral efficiency in informational transmission has attracted widespread attention fields radio frequency and optical communications. Hitherto, two main methods have been put forward to generate beams carrying OAM field communication at lower frequencies, which include spiral phase plates (SPP) uniform circular array (UCA). However, modern multiple-input-multiple-output (MIMO) systems mainly consist 2D linear array,...