Publications by Huaijian Zhang

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Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Human brain is organized by a large number of functionally correlated but spatially distributed cortical neurons. Cognitive processes are usually associated with dynamic interactions among multiple brain regions. Therefore, the understanding of brain funct ...

Electrophysiological and neuroimaging evidence suggest the existence of common mechanisms for monitoring erroneous events, independent of the source of errors. Previous works have described modulations of theta activity in the medial frontal cortex elicite ...

Neural signatures of humans’ movement intention can be exploited by future neuroprosthesis. We propose a method for detecting self-paced upper limb movement intention from brain signals acquired with both invasive and noninvasive methods. In the first stud ...

This study aims to explore modulation of the connectivity pattern when people perform left hand versus right hand motor imagery and probe the feasibility of adopting connectivity information to discriminate these tasks. Nine subjects were recorded with 16- ...

Brain error processing plays a key role in goal-directed behavior and learning in human brain. Directed transfer function (DTF) on EEG signal brings unique features for discrimination between correct and error cases in braincomputer interface (BCI) system. ...

Psychophysical studies have reported correlation between neural activity in frontal and parietal areas and subject's reaction time in simple tasks. Here we study whether similar correlates can also be identified in driver's electroencephalography (EEG) act ...

Intelligent cars exploit environmental information to support drivers by providing extra information and assisting complex maneouvers. They can also take into account the internal state of the driver by means of decoding cognition-related brain activity. H ...

This work presents EEG-based Brain-computer interface (BCI) that uses error related brain activity to improve the prediction of driver’s intended turning direction. In experiments while subjects drive in a realistic car simulator, we show a directional cue ...

Huaijian Zhang

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EEG-based decoding of error-related brain activity in a real-world driving task

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

Connectivity Analysis of Brain States and Applications in Brain-Computer Interfaces

Discriminant Brain Connectivity Patterns of Performance Monitoring at Average and Single-Trial Levels

Self-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG

Towards Implementation of Motor Imagery using Brain Connectivity Features

Improved Recognition of Error Related Potentials through the use of Brain Connectivity Features

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

Detecting Cognitive States for Enhancing Driving Experience

Single Trial Classification of Neural Correlates of Anticipatory Behavior during Real Car Driving

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

Inferring Driver’s Turning Direction through Detection of Error Related Brain Activity