A5100659101- Traumatic Brain Injury Research
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Cardiac Arrest and Resuscitation
- Atomic and Subatomic Physics Research
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Cognitive Functions and Memory
- Neonatal and fetal brain pathology
- Traumatic Brain Injury and Neurovascular Disturbances
- Epilepsy research and treatment
- Neuroscience and Neural Engineering
- Emotion and Mood Recognition
- Radiation Dose and Imaging
- Neural and Behavioral Psychology Studies
- Fusion and Plasma Physics Studies
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
Zhujiang Hospital
2021
Southern Medical University
2021
General Hospital of Guangzhou Military Command
2011-2020
South China University of Technology
2018
Recognizing human emotions based on electroencephalogram (EEG) signals has received a great deal of attentions. Most the existing studies focused offline analysis, and real-time emotion recognition using brain computer interface (BCI) approach remains to be further investigated. In this paper, we proposed an EEG-based BCI system for recognition. Specifically, two classes video clips that represented positive negative were presented subjects one by one, while EEG data collected processed...
Cognitive motor dissociation describes a subset of patients with disorders consciousness who show neuroimaging evidence but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design rehabilitation programmes, prognosis cognitive remains under-investigated. The current study included 78 showed These 45 unresponsive wakefulness syndrome 33 in minimally conscious state, as diagnosed using Coma Recovery Scale-Revised. Each patient...
The bedside detection of potential awareness in patients with disorders consciousness (DOC) currently relies only on behavioral observations and tests; however, the misdiagnosis rates this patient group are historically relatively high. In study, we proposed a visual hybrid brain-computer interface (BCI) combining P300 steady-state evoked (SSVEP) responses to detect severely brain injured patients.Four healthy subjects, seven DOC who were vegetative state (VS, n = 4) or minimally conscious...
Disorders of consciousness are a heterogeneous mixture different diseases or injuries. Although some indicators and models have been proposed for prognostication, any single method when used alone carries high risk false prediction. This study aimed to develop multidomain prognostic model that combines resting state functional MRI with three clinical characteristics predict one year-outcomes at the single-subject level. The discriminated between patients who would later recover those not an...
For patients with disorders of consciousness (DOC), such as vegetative state (VS) and minimally conscious (MCS), detecting assessing the residual cognitive functions brain remain challenging. Emotion-related are difficult to detect in DOC using motor response-based clinical assessment scales Coma Recovery Scale-Revised (CRS-R) because have impairments unable provide sufficient responses for emotion-related communication. In this study, we proposed an EEG-based brain-computer interface (BCI)...
Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used to research abnormal connectivity (FC) in patients with disorders of consciousness (DOC). However, most studies assumed steady spatial-temporal signal interactions between distinct brain regions during the scan period. The aim this study was explore dynamic (dFC) DOC patients. After excluding 26 patients' data that failed meet requirements quality, we retained 19 (12 unresponsive wakefulness syndrome and 7 a...
Abstract Existing evidence suggests that the default-mode network (DMN) and fronto-pariatal (FPN) play an important role in altered states of consciousness. However, brain mechanisms underlying impaired consciousness specific interactions involved are not well understood. We studied topological properties functional networks using resting-state MRI data acquired from 18 patients (11 vegetative state/unresponsive wakefulness syndrome, VS/UWS, 7 minimally conscious state, MCS) compared these...
Abstract Currently, detecting awareness in patients with disorders of consciousness (DOC) is a challenging task, which commonly addressed through behavioral observation scales such as the JFK Coma Recovery Scale-Revised. Brain-computer interfaces (BCIs) provide an alternative approach to detect DOC. However, these have much lower capability using BCIs compared healthy individuals. This study proposed novel BCI temporally, spatially and semantically congruent audiovisual stimuli involving...
For patients with disorders of consciousness such as coma, a vegetative state or minimally conscious state, one challenge is to detect and assess the residual cognitive functions in their brains. Number processing mental calculation are important brain but difficult using motor response-based clinical assessment scales Coma Recovery Scale-Revised due patients’ impairments inability provide sufficient responses for number- calculation-based communication. In this study, we presented hybrid...
The JFK coma recovery scale-revised (JFK CRS-R), a behavioral observation scale, is widely used in the clinical diagnosis/assessment of patients with disorders consciousness (DOC). However, CRS-R associated high rate misdiagnosis (approximately 40%) because DOC cannot provide sufficient responses. A brain-computer interface (BCI) that detects command/intention-specific changes electroencephalography (EEG) signals without need for expression may an alternative method.In this paper, we...
Abstract The Coma Recovery Scale-Revised (CRS-R) is a consistent and sensitive behavioral assessment standard for disorders of consciousness (DOC) patients. However, the CRS-R has limitations due to its dependence on markers, which led high rate misdiagnosis. Brain-computer interfaces (BCIs), directly detect brain activities without any expression, can be used evaluate patient’s state. In this study, we explored application BCIs in assisting assessments DOC Specifically, an auditory passive...
Currently, it is challenging to detect the awareness of patients who suffer disorders consciousness (DOC). Brain-computer interfaces (BCIs), which do not depend on behavioral response patients, may serve for detecting in with DOC. However, we must develop effective BCIs these because their ability use does as good healthy users.
Visual fixation is an item in the visual function subscale of Coma Recovery Scale-Revised (CRS-R). Sometimes clinicians using behavioral scales find it difficult to detect because motor impairment patients with disorders consciousness (DOCs). Brain-computer interface (BCI) can be used improve clinical assessment directly detects brain response external stimulus absence expression. In this study, we designed a BCI system assist DOC patients. The results from 15 indicated that three showed...
Visual pursuit assessment is extensively applied in the behavioral scale-based clinical examination of patients with disorders consciousness (DOC). However, this challenging because it relies on markers, and these severely lack responses. Brain-computer interfaces (BCIs) may provide a potential solution to detect brain responses external stimuli without requiring expressions. A BCI system was designed simulate visual detection coma recovery scale-revised (CRS-R). The graphical user interface...
The coma recovery scale-revised (CRS-R) behavioral scale is commonly used for the clinical evaluation of patients with disorders consciousness (DOC). However, since DOC generally cannot supply stable and efficient responses to external stimulation, results based on scales are not sufficiently accurate. In this paper, we proposed a novel brain-computer interface (BCI) 3D stereo audiovisual stimuli supplement object recognition in CRS-R. During experiment, subjects needed follow instructions...
Over the last 20 years, studies have provided greater insight into disorders of consciousness (DOC), also known as altered state consciousness. Increased brain residual functions been identified in patients with DOC due to successful application novel next‑generation imaging technologies. Many unconscious now confirmed retain considerable cognitive functions. It is hoped that regarding psychological may be achieved through use functional magnetic resonance and brain‑computer interfaces....
The detection of intrinsic brain activity (iBA) could assist clinical assessment for disorder consciousness (DOC) patients. Previous studies have revealed the altered iBA in thalamocortical, frontoparietal, and default mode network DOC patients using functional connectivity (FC) analysis. However, due to assumption synchronized FC, these studied may be inadequate understanding effect severe injury on temporal organization relationship between feature Recently, time delay estimation (TDE)...
Abstract Disorders of consciousness are impaired states caused by severe brain injuries. Previous resting-state functional magnetic resonance imaging studies have reported abnormal network properties at different topological scales in patients with disorders using graph theoretical analysis. However, it is still unclear how inter-regional directed propagation activities affect the organization networks consciousness. To reveal altered consciousness, we constructed whole-brain combining...