Connecting the P300 to the diagnosis and prognosis of unconscious patients
The residual consciousness of unconscious patients can be detected by studying the P300, a wave among event-related potentials. Previous studies have applied tones, the subject′s name and other names as stimuli. However, the results were not satisfactory.
Ran Li+4 more
doaj +1 more source
Neurochemical substrates and neuroanatomical generators of the event-related P300 [PDF]
The present review focuses on the current knowledge of the neurochemical processes and neuronal structures involved in the generation of P300. The increasing knowledge in this area facilitates the physiological interpretation of P300 findings as well as ...
Bottlender, Ronald+2 more
core +1 more source
P300 event-related potentials in patients with different subtypes of depressive disorders
ObjectiveTo explore the differences in event-related potentials (ERPs) of the subclinical types of major depressive disorders (MDD): melancholic (MEL), atypical (ATY), and anxious (ANX).MethodsPatients with MDD treated in the Clinical Department of ...
Yun Wang+8 more
doaj +1 more source
PET and P300 Relationships in Early Alzheimer\u27s Disease [PDF]
The P300 (P3) wave of the auditory brain event-related potential was investigated in patients with probable Alzheimer\u27s disease to determine whether P300 latency discriminated these patients from controls and whether prolonged P300 latency correlated ...
Andrews, Glena+7 more
core +1 more source
Evaluation of Data Processing and Machine Learning Techniques in P300-based Authentication using Brain-Computer Interfaces [PDF]
Brain-Computer Interfaces (BCIs) are used in various application scenarios allowing direct communication between the brain and computers. Specifically, electroencephalography (EEG) is one of the most common techniques for obtaining evoked potentials resulting from external stimuli, as the P300 potential is elicited from known images. The combination of
arxiv
Evaluation of convolutional neural networks using a large multi-subject P300 dataset [PDF]
Deep neural networks (DNN) have been studied in various machine learning areas. For example, event-related potential (ERP) signal classification is a highly complex task potentially suitable for DNN as signal-to-noise ratio is low, and underlying spatial and temporal patterns display a large intra- and intersubject variability.
arxiv +1 more source
Error-Related Negativity and Feedback-Related Negativity on a Reinforcement Learning Task [PDF]
Event-related potentials play a significant role in error processing and attentional processes. Specifically, event-related negativity (ERN), feedback-related negativity (FRN), and the P300 are related to performance monitoring.
Ridley, Elizabeth
core +1 more source
Design, implementation and evaluation of a real-time P300-based brain-computer interface system [PDF]
We present a new end-to-end brain-computer interface system based on electroencephalography (EEG). Our system exploits the P300 signal in the brain, a positive deflection in event-related potentials, caused by rare events.
Amcalar, Armagan+3 more
core +2 more sources
Event‐related potentials (P300) in myotonic dystrophy
The P300 component of the auditory event‐related potential in 8 patients with myotonic dystrophy was studied and compared with that of 13 healthy controls. Abnormalities of P300 (prolongation of the latency and/or decrease of the amplitude) were observed
H. Hanafusa+4 more
semanticscholar +1 more source
In the research aimed to investigate the psychophysiological mechanisms of propensity to aggressive behavior, the auditory event related potentials have been studied (P50 component and its inhibition, P300 component) in persons prone to ...
K.Y. Telesheva
doaj +1 more source