A5100365633- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Face Recognition and Perception
- Neuroscience and Neuropharmacology Research
- Heart Rate Variability and Autonomic Control
- Neurological disorders and treatments
- Regulation of Appetite and Obesity
- Epilepsy research and treatment
- Action Observation and Synchronization
- Psychology of Moral and Emotional Judgment
- Biochemical Analysis and Sensing Techniques
- Neurotransmitter Receptor Influence on Behavior
- Neuroinflammation and Neurodegeneration Mechanisms
- Memory and Neural Mechanisms
- Obsessive-Compulsive Spectrum Disorders
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Atomic and Subatomic Physics Research
- Eating Disorders and Behaviors
- Alzheimer's disease research and treatments
- Neurobiology of Language and Bilingualism
- Parkinson's Disease Mechanisms and Treatments
Zhejiang University
2014-2024
University of Southern California
2020-2024
Zhejiang Lab
2024
Second Affiliated Hospital of Zhejiang University
2020-2024
University of Florida
2007-2016
Florida College
2004-2016
Peking University
2011-2016
Air Force Medical University
2016
Southwest University
2016
Henan University of Traditional Chinese Medicine
2011
Abstract Various functional imaging tools have been used to detect epileptic activity in the neural network underlying mesial temporal lobe epilepsy (mTLE). In present fMRI study, a data‐driven approach was employed map interictal mTLE patients by measuring amplitude of low‐frequency fluctuation (ALFF) blood oxygen level‐dependent (BOLD) signal. Twenty‐four left and 26 right were investigated comparing with 25 healthy subjects. patients, regions showing increased ALFF consistently...
Lesion and functional brain imaging studies have suggested that there are two anatomically nonoverlapping attention networks. The dorsal frontoparietal network controls goal-oriented top-down deployment of attention; the ventral mediates stimulus-driven bottom-up attentional reorienting. interaction between networks its significance has been considered in past but no direct test carried out. We addressed this problem by recording fMRI data from human subjects performing a trial-by-trial cued...
Dorsal anterior cingulate and bilateral insula form a task control network (TCN) whose primary function includes initiating maintaining task-level cognitive set exerting top-down regulation of sensorimotor processing. The default mode (DMN), comprising an anatomically distinct cortical areas, mediates introspection self-referential processes. Resting-state data show that TCN DMN interact. functional ramifications their interaction remain elusive. Recording fMRI from human subjects performing...
Although the brain areas in default-mode network (DMN) act a coordinated way during rest, activity levels individual of DMN are highly heterogeneous. The relation between and pattern causal interaction among remains unknown. In present fMRI study, seven nodes were identified their rank-ordered based on power spectral analysis resting blood oxygenation level-dependent (BOLD) signals. Furthermore, direction information flow these was determined using Granger causality graph-theoretic methods....
ABSTRACT Depressive symptoms are common in Parkinson's disease (PD), but the pathophysiology and neural basis underlying depression PD is not well understood. Abnormal functional connectivity of amygdala with various cortical subcortical areas has been observed major depressive disorder, indicating that dysfunction corticolimbic network may be involved pathogenesis disorder. However, little known about alterations depressed patients. In present study, 20 patients, 40 nondepressed 43 matched...
Resting state-fMRI studies have found that the inter-areal correlations in cortical networks concentrate within ultra-low frequencies (0.01–0.04 Hz) while long-distance connections subcortical distribute over a wider frequency range (0.01–0.14 Hz). However, characteristics of regional homogeneity (ReHo) different areas are still unclear. To examine ReHo properties bands, data-driven method, Empirical Mode Decomposition (EMD), was adopted to decompose time series each voxel into several...
Background A functional discrepancy exists in adolescents between frontal and subcortical regions due to differential regional maturational trajectories. It remains unknown how this alters whether the influence from system plays a primacy role medication naïve adolescent with major depressive disorder (MDD). Methodology/Principal Findings Eighteen MDD 18 healthy were enrolled. Depression anxiety severity was assessed by Short Mood Feeling Questionnaire (SMFQ) Screen for Child Anxiety Related...
Depressive symptoms are common in Parkinson's disease (PD), but the neurophysiological mechanisms of depression PD poorly understood. The current study attempted to examine disrupted spontaneous local brain activities and functional connectivities that underlie PD. We recruited a total 20 depressed patients (DPD), 40 non-depressed (NDPD) 43 matched healthy controls (HC). All subjects underwent neuropsychological tests resting-state fMRI scanning. between-group differences amplitude low...
Earlier studies have suggested abnormal brain volumes in autism, but inconsistencies exist. Using voxel-based morphometry, we compared global and regional 17 high-functioning autistic children with 15 matched controls. We identified significant reduction left white matter volume white/gray ratio autism. Regional reductions were detected for right anterior cingulate, superior parietal lobule volumes, parahippocampal gyrus gray volume, whereas enlargements bilateral supramarginal gyrus,...
Brain network studies using techniques of intrinsic connectivity based on fMRI time series (TS-ICN) and structural covariance (SCN) have mapped out functional organization human brain at respective scales. However, there lacks a meso-time-scale to bridge the ICN SCN get insights organization.We proposed (FCN) method by measuring amplitude low-frequency fluctuations (ALFF) in BOLD signals across subjects, compared patterns ALFF-FCNs with TS-ICNs SCNs mapping networks default network,...