Cargando…

Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis

Despite the established effectiveness of the brain-computer interface (BCI) therapy during stroke rehabilitation (Song et al., 2014a, 2015; Young et al., 2014a,b,c, 2015; Remsik et al., 2016), little is understood about the connections between motor network reorganization and functional motor improv...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mazrooyisebdani, Mohsen, Nair, Veena A., Loh, Po-Ling, Remsik, Alexander B., Young, Brittany M., Moreno, Brittany S., Dodd, Keith C., Kang, Theresa J., William, Justin C., Prabhakaran, Vivek
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277805/ https://www.ncbi.nlm.nih.gov/pubmed/30542258 http://dx.doi.org/10.3389/fnins.2018.00861

Ejemplares similares

Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation
por: Remsik, Alexander B., et al.
Publicado: (2019)

BCI-FES With Multimodal Feedback for Motor Recovery Poststroke
por: Remsik, Alexander B., et al.
Publicado: (2022)

DTI measures track and predict motor function outcomes in stroke rehabilitation utilizing BCI technology
por: Song, Jie, et al.
Publicado: (2015)

Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability
por: Young, Brittany M., et al.
Publicado: (2014)

Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors
por: Remsik, Alexander B., et al.
Publicado: (2021)

Brain–Computer Interface Training after Stroke Affects Patterns of Brain–Behavior Relationships in Corticospinal Motor Fibers
por: Young, Brittany M., et al.
Publicado: (2016)

Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity
por: Mohanty, Rosaleena, et al.
Publicado: (2018)

Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning
por: Mohanty, Rosaleena, et al.
Publicado: (2018)

Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery
por: Dodd, Keith C., et al.
Publicado: (2017)

Behavioral Outcomes Following Brain–Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial
por: Remsik, Alexander B., et al.
Publicado: (2018)

Editorial: Breakthrough BCI Applications in Medicine
por: Guger, Christoph, et al.
Publicado: (2020)

Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
por: Young, Brittany M., et al.
Publicado: (2015)

Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device
por: Young, Brittany Mei, et al.
Publicado: (2014)

Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology
por: Song, Jie, et al.
Publicado: (2014)

Brain-Computer Interface Training With Functional Electrical Stimulation: Facilitating Changes in Interhemispheric Functional Connectivity and Motor Outcomes Post-stroke
por: Sinha, Anita M., et al.
Publicado: (2021)

Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics
por: Garcia-Ramos, Camille, et al.
Publicado: (2022)

Structural Imaging Changes and Behavioral Correlates in Patients with Crohn’s Disease in Remission
por: Nair, Veena A., et al.
Publicado: (2016)

Alterations in resting-state functional connectivity in patients with Crohn’s disease in remission
por: Hou, Jiancheng, et al.
Publicado: (2019)

Alterations in brain white matter microstructural properties in patients with Crohn’s disease in remission
por: Hou, Jiancheng, et al.
Publicado: (2020)

Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI
por: Devlaminck, Dieter, et al.
Publicado: (2011)

Prediction of P300 BCI Aptitude in Severe Motor Impairment
por: Halder, Sebastian, et al.
Publicado: (2013)

Motor Imagery Under Distraction— An Open Access BCI Dataset
por: Brandl, Stephanie, et al.
Publicado: (2020)

Optimization of SSVEP-BCI Virtual Reality Stereo Stimulation Parameters Based on Knowledge Graph
por: Zhu, Shixuan, et al.
Publicado: (2023)

A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs
por: Attallah, Omneya, et al.
Publicado: (2020)

Effect of biased feedback on motor imagery learning in BCI-teleoperation system
por: Alimardani, Maryam, et al.
Publicado: (2014)

The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control
por: Zapała, Dariusz, et al.
Publicado: (2020)

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

Variance characteristic preserving common spatial pattern for motor imagery BCI
por: Liang, Wei, et al.
Publicado: (2023)

Differing Patterns of Altered Slow-5 Oscillations in Healthy Aging and Ischemic Stroke
por: La, Christian, et al.
Publicado: (2016)

The Hybrid BCI
por: Pfurtscheller, Gert, et al.
Publicado: (2010)

The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI
por: Zapała, Dariusz, et al.
Publicado: (2017)

Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery
por: Rodriguez-Ugarte, Maria de la Soledad, et al.
Publicado: (2018)

Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP
por: Ko, Li-Wei, et al.
Publicado: (2017)

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
por: Ortega, Julio, et al.
Publicado: (2016)

Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
por: Martín-Clemente, Rubén, et al.
Publicado: (2018)

Task Transfer Learning for EEG Classification in Motor Imagery-Based BCI System
por: Zheng, Xuanci, et al.
Publicado: (2020)

An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training
por: Duan, Xu, et al.
Publicado: (2021)

Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI
por: Xu, Yilu, et al.
Publicado: (2022)

Hypercapnic evaluation of vascular reactivity in healthy aging and acute stroke via functional MRI
por: Raut, Ryan V., et al.
Publicado: (2016)

Graph theory with applications
por: Vasudev, C
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_kpkl0nqllfmbisigp44jcr90p5