Event-related desynchronization (ERD) is the short-lasting attenuation or blocking of rhythms within the alpha (beta) band. ERD is found during but also before visual stimulation. Two different types of ERD can be differentiated: one short-lasting, localized to occipital areas and involving upper alpha components; the other longer lasting, more widespread, most prominent over parietal areas and maximal for lower alpha components. The former most likely reflects primary visual processing and feature extraction, the latter is more related to cognitive processing and mechanisms of attention.
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http://dx.doi.org/10.1016/0167-8760(89)90041-x | DOI Listing |
J Integr Neurosci
December 2024
Department of Computer Science and Engineering, Shaoxing University, 312000 Shaoxing, Zhejiang, China.
Background: Motor imagery (MI) plays an important role in brain-computer interfaces, especially in evoking event-related desynchronization and synchronization (ERD/S) rhythms in electroencephalogram (EEG) signals. However, the procedure for performing a MI task for a single subject is subjective, making it difficult to determine the actual situation of an individual's MI task and resulting in significant individual EEG response variations during motion cognitive decoding.
Methods: To explore this issue, we designed three visual stimuli (arrow, human, and robot), each of which was used to present three MI tasks (left arm, right arm, and feet), and evaluated differences in brain response in terms of ERD/S rhythms.
Front Hum Neurosci
December 2024
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Introduction: Visual feedback plays a crucial role in goal-directed tasks, facilitating movement preparation and execution by allowing individuals to adjust and optimize their movements. Enhanced movement preparation and execution help to increase neural activity in the brain. However, our understanding of the neurophysiological mechanisms underlying different types of visual feedback during task preparation and execution remains limited.
View Article and Find Full Text PDFJ Neuroeng Rehabil
December 2024
Laboratory for Neuro- & Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
Background: The loss of finger control in individuals with neuromuscular disorders significantly impacts their quality of life. Electroencephalography (EEG)-based brain-computer interfaces that actuate neuroprostheses directly via decoded motor intentions can help restore lost finger mobility. However, the extent to which finger movements exhibit distinct and decodable EEG correlates remains unresolved.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Laboratory of Brain Atlas and Brain-Inspired Intelligence, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China.
Motor imagery (MI) is an important brain-computer interface (BCI) paradigm. The traditional MI paradigm (imagining different limbs) limits the intuitive control of the outer devices, while fine MI paradigm (imagining different joint movements from the same limb) can control the mechanical arm without cognitive disconnection. However, the decoding performance of fine MI limits its application.
View Article and Find Full Text PDFRinsho Shinkeigaku
December 2024
Section of Human Neurophysiology, Institute of Biomedical Sciences, Fukushima Medical University.
I have reviewed the utility of clinical neurophysiological examinations in recently highlighted functional neurological disorders (FND) focusing mainly on functional movement disorders (FMD). There are many neurophysiological methods useful for diagnosis of FMD. I will hereafter summarize a few of them in the following part.
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