Cargando…

Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling

Motor imagery-based brain–computer interfaces (MI-BCIs) send commands to a computer using the brain activity registered when a subject imagines—but does not perform—a given movement. However, inconsistent MI-BCI performance occurs in variations of brain signals across subjects and experiments; this...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Minji, Yoon, Jae-Geun, Lee, Seong-Whan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438792/ https://www.ncbi.nlm.nih.gov/pubmed/32903663 http://dx.doi.org/10.3389/fnhum.2020.00321

Ejemplares similares

Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance
por: Kang, Jae-Hwan, et al.
Publicado: (2021)

Causal Shannon–Fisher Characterization of Motor/Imagery Movements in EEG
por: Baravalle, Román, et al.
Publicado: (2018)

Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface
por: Wang, Kun, et al.
Publicado: (2022)

Dynamic causal modelling of fluctuating connectivity in resting-state EEG
por: Van de Steen, Frederik, et al.
Publicado: (2019)

Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012)

Local and global convolutional transformer-based motor imagery EEG classification
por: Zhang, Jiayang, et al.
Publicado: (2023)

Dynamics of Long-Range Temporal Correlations in Broadband EEG During Different Motor Execution and Imagery Tasks
por: Wairagkar, Maitreyee, et al.
Publicado: (2021)

Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG
por: Pei, Yu, et al.
Publicado: (2021)

A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
por: Chu, Yaqi, et al.
Publicado: (2018)

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
por: Xiao, Xiongliang, et al.
Publicado: (2021)

Early-stage fusion of EEG and fNIRS improves classification of motor imagery
por: Li, Yang, et al.
Publicado: (2023)

Synchronization dynamics and evidence for a repertoire of network states in resting EEG
por: Betzel, Richard F., et al.
Publicado: (2012)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task
por: Perronnet, Lorraine, et al.
Publicado: (2017)

A Generalizable and Discriminative Learning Method for Deep EEG-Based Motor Imagery Classification
por: Huang, Xiuyu, et al.
Publicado: (2021)

EEG channel selection based on sequential backward floating search for motor imagery classification
por: Tang, Chao, et al.
Publicado: (2022)

Predicting Motor Imagery BCI Performance Based on EEG Microstate Analysis
por: Cui, Yujie, et al.
Publicado: (2023)

Cortical Statistical Correlation Tomography of EEG Resting State Networks
por: Li, Chuang, et al.
Publicado: (2018)

Personality cannot be predicted from the power of resting state EEG
por: Korjus, Kristjan, et al.
Publicado: (2015)

Resting-state prefrontal EEG biomarker in correlation with postoperative delirium in elderly patients
por: Kim, Jeongmin, et al.
Publicado: (2023)

Low-Rank Linear Dynamical Systems for Motor Imagery EEG
por: Zhang, Wenchang, et al.
Publicado: (2016)

Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
por: Zhao, Yuwei, et al.
Publicado: (2018)

A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
por: Wu, Hao, et al.
Publicado: (2019)

A Novel Two-Stage Refine Filtering Method for EEG-Based Motor Imagery Classification
por: Yan, Yuxin, et al.
Publicado: (2021)

An improved model using convolutional sliding window-attention network for motor imagery EEG classification
por: Huang, Yuxuan, et al.
Publicado: (2023)

Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
por: Degirmenci, Murside, et al.
Publicado: (2023)

Motor Imagery of Speech: The Involvement of Primary Motor Cortex in Manual and Articulatory Motor Imagery
por: Maegherman, Gwijde, et al.
Publicado: (2019)

Auditory and motor imagery modulate learning in music performance
por: Brown, Rachel M., et al.
Publicado: (2013)

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
por: Ahn, Minkyu, et al.
Publicado: (2018)

Age-Related Differences in Resting-State EEG and Allocentric Spatial Working Memory Performance
por: Jabès, Adeline, et al.
Publicado: (2021)

Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis
por: Wang, Yijun, et al.
Publicado: (2012)

A motor imagery vs. rest dataset with low-cost consumer grade EEG hardware()
por: Peterson, Victoria, et al.
Publicado: (2022)

Brisk heart rate and EEG changes during execution and withholding of cue-paced foot motor imagery
por: Pfurtscheller, Gert, et al.
Publicado: (2013)

Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury
por: Li, Han, et al.
Publicado: (2023)

Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor
por: Park, Hae-Jeong, et al.
Publicado: (2017)

Linguistic representation of vowels in speech imagery EEG
por: Nitta, Tsuneo, et al.
Publicado: (2023)

Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks
por: Zhao, Feng, et al.
Publicado: (2020)

Assessing Brain Networks by Resting-State Dynamic Functional Connectivity: An fNIRS-EEG Study
por: Zhang, Yujin, et al.
Publicado: (2020)

Dynamic pruning group equivariant network for motor imagery EEG recognition
por: Tang, Xianlun, et al.
Publicado: (2023)

Repetitive Peripheral Magnetic Stimulation Combined with Motor Imagery Changes Resting-State EEG Activity: A Randomized Controlled Trial
por: Sawai, Shun, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_jurgdcsfufsoeio79q601mk9cl