A5101961673- Functional Brain Connectivity Studies
- Neonatal and fetal brain pathology
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Education and Technology Integration
- Diet and metabolism studies
- Educational Challenges and Innovations
- Cognitive Science and Mapping
- Mental Health Research Topics
- Extracellular vesicles in disease
- Machine Learning and Data Classification
- Cognitive Abilities and Testing
- Infant Development and Preterm Care
- Diverse Music Education Insights
- MicroRNA in disease regulation
- EEG and Brain-Computer Interfaces
- Anesthesia and Neurotoxicity Research
- Dementia and Cognitive Impairment Research
- Advanced MRI Techniques and Applications
Education Department of Heilongjiang Province
2025
University of North Carolina at Chapel Hill
2019-2023
Imaging Center
2022
Hunan First Normal University
2015-2020
There has been increasing interest in multivariate pattern analysis (MVPA) as a means of distinguishing psychiatric patients from healthy controls using brain imaging. However, it remains unclear whether MVPA methods can accurately estimate the medication status patients. This study aims to develop an approach predict antidepressant individuals with major depression on basis whole-brain resting-state functional connectivity MRI (rs-fcMRI). We investigated data rs-fcMRI 24 medication-naive...
Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early development, it mostly focused on topological attributes whole brain. However, examining regional graph-theory features may provide unique insights into development cognitive abilities. Utilizing a large and longitudinal rsfMRI dataset from UNC/UMN Baby Connectome Project, we investigated developmental trajectories efficiency evaluated relationships between...
Abstract Prenatal opioid exposure has been linked to adverse effects spanning multiple neurodevelopmental domains, including cognition, motor development, attention, and vision. However, the neural basis of these abnormalities is largely unknown. A total 49 infants, 21 opioid-exposed 28 controls, were enrolled underwent MRI (43 ± 6 days old) after birth, resting state functional MRI. Edge-centric networks based on dynamic connections constructed, machine-learning methods employed identify...
Abstract Antisocial behavior (ASB) is believed to have neural substrates; however, the association between ASB and functional brain networks remains unclear. The temporal variability of connectivity (or dynamic FC) derived from resting‐state MRI has been suggested as a useful metric for studying abnormal behaviors including ASB. This first study using low‐frequency fluctuations FC unravel potential system‐level correlates with Specifically, we individually associated patterns scores...
The human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early development, it mostly focused on topological attributes whole brain. However, examining regional graph-theory features may provide unique insights into development cognitive abilities. Utilizing a large and longitudinal fMRI dataset infants from UNC/UMN Baby Connectome Project, we investigated developmental trajectories efficiency evaluated...