A5100418781- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
- Reading and Literacy Development
- EEG and Brain-Computer Interfaces
- Autism Spectrum Disorder Research
- Advanced Neuroimaging Techniques and Applications
- Genetics and Neurodevelopmental Disorders
- Neural dynamics and brain function
- Genomics and Rare Diseases
- Advanced MRI Techniques and Applications
- Sleep and Wakefulness Research
- Cognitive and developmental aspects of mathematical skills
- Tactile and Sensory Interactions
- Circadian rhythm and melatonin
- Vestibular and auditory disorders
- Categorization, perception, and language
- Hearing Loss and Rehabilitation
- Neuroscience and Music Perception
- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Anesthesia and Neurotoxicity Research
- Sleep and related disorders
- Hemispheric Asymmetry in Neuroscience
- Memory and Neural Mechanisms
- Transcranial Magnetic Stimulation Studies
Wenzhou University
2022-2025
Chinese Institute for Brain Research
2017-2024
Beijing Normal University
2012-2024
Capital Medical University
2022-2024
Beijing Xuanwu Traditional Chinese Medicine Hospital
2023
Indiana University Bloomington
2023
National Clinical Research Center for Digestive Diseases
2023
Hangzhou Seventh Peoples Hospital
2021
Xidian University
2018
Hunan University of Traditional Chinese Medicine
2017-2018
The current diagnosis of psychiatric disorders including major depressive disorder based largely on self‐reported symptoms and clinical signs may be prone to patients' behaviors psychiatrists' bias. This study aims at developing an unsupervised machine learning approach for the accurate identification depression single resting‐state functional magnetic resonance imaging scans in absence information. Twenty‐four medication‐naive patients with 29 demographically similar healthy individuals...
The neural mechanism for selectively tuning in to a target speaker while out the others multi-speaker situation (i.e., cocktail-party effect) remains elusive. Here we addressed this issue by measuring brain activity simultaneously from listener and multiple speakers they were involved naturalistic conversations. Results consistently show enhanced interpersonal synchronization (INS) between attended at left temporal-parietal junction, compared with that unattended across different situations....
Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity physiological data and capability learning principles on modeling emotion classifiers from heterogeneous features. However, conventional subject-specific may induce additional burdens each subject preparing multiple-session as training sets. To this end, we developed a new feature selection approach, transfer recursive elimination (T-RFE),...
We report on results from whole-exome sequencing (WES) of 1,039 subjects diagnosed with autism spectrum disorders (ASD) and 870 controls selected the NIMH repository to be similar ancestry cases. The WES data came two centers using different methods produce sequence call variants it. Therefore, an initial goal was ensure distribution rare variation for centers. This proved straightforward by filtering called fraction missing data, read depth, balance alternative reference reads. Results were...
Abstract The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about have proposed that before any takes place, teacher will predict knowledge state student(s) to enhance outcome, this theoretical Prediction‐Transmission hypothesis has not been tested with neuroimaging studies. Using functional near‐infrared spectroscopy‐based hyperscanning, study measured brain activities teacher–student pairs simultaneously. Results showed better outcome was...
Background Numerous studies have demonstrated the higher-order functions of cerebellum, including emotion regulation and cognitive processing, indicated that cerebellum should therefore be included in pathophysiological models major depressive disorder. The aim this study was to compare resting-state functional connectivity adults with depression healthy controls. Methods Twenty 20 gender-, age-, education-matched controls were investigated using seed-based magnetic resonance imaging....
Magnetic resonance imaging studies have reported significant functional and structural differences between depressed patients controls. Little attention has been given, however, to the abnormalities in anatomical connectivity patients. In present study, we aim investigate alterations of whole-brain networks those suffering from major depression by using machine learning approaches. Brain were extracted diffusion magnetic images obtained both 22 first-episode, treatment-naive adults with...
Abstract Human beings organise socially. Theories have posited that interpersonal neural synchronisation might underlie the creation of affiliative bonds. Previous studies tested this hypothesis mainly during a social interaction, making it difficult to determine whether identified is associated with bonding or interaction. This study addressed issue by focusing on teacher–student relationship in resting state both before and after teaching period. Brain activity was simultaneously measured...
Objective To investigate white matter volume abnormalities in patients with major depression and the effects of antidepressant treatment on volume. Method Magnetic resonance imaging (MRI) was performed 32 treatment-naïve depressed patients, 17 recovered who had received subsequently achieved clinical recovery 34 matched controls. Results Relative to healthy controls, showed increased volumes left dorsolateral prefrontal cortex (DLPFC) putamen reduced cerebellum posterior lobe inferior...
Obese individuals exhibit brain alterations of resting-state functional connectivity (RSFC) integrity networks (RSNs) related to food intake. Bariatric surgery is currently the most effective treatment for combating morbid obesity. How bariatric influences neurocircuitry mostly unknown. Functional density (FCD) mapping was employed calculate local (lFCD)/global (gFCD) voxelwise metrics in 22 obese participants who underwent magnetic resonance imaging before and 1 month after sleeve...
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...
Whole-exome sequencing studies in autism spectrum disorder (ASD) have identified de novo mutations novel candidate genes, including the synaptic gene Eighty-five Requiring 3A (EFR3A). EFR3A is a critical component of protein complex required for synthesis phosphoinositide PtdIns4P, which has variety functions at neural synapse. We hypothesized that deleterious would be significantly associated with ASD. conducted large case/control association study by deep resequencing and analysis...
A long-standing question in developmental science is how the neurodevelopment of brain influences cognitive functions. Here, we examined change resting EEG power and its links to vocabulary acquisition school-age children. We further explored what mechanisms may mediate relation between rhythm maturation knowledge. Eyes-opened resting-state data were recorded from 53 typically-developing Chinese children every 2 years ages 7 11. Our results showed first that delta, theta, gamma decreased...