Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Neurorehabilitation and Neural Repair

• Publication date

  2013-01-01

• Fields of study

  Medicine, Engineering, Psychology

• Identifiers
  DOI 10.1177/1545968312445910PMID 22645108
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Upstream Dysfunction of Somatomotor Functional Connectivity After Corticospinal Damage in Stroke

  2012cited by this paper
• Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke

  2012cited by this paper
• Rewiring the Brain

  2012cited by this paper
• Functional Connectivity in Relation to Motor Performance and Recovery After Stroke

  2011cited by this paper
• Longitudinal Changes of Resting-State Functional Connectivity During Motor Recovery After Stroke

  2011cited by this paper
• Hebbian-Type Stimulation During Robot-Assisted Training in Patients With Stroke

  2011cited by this paper
• White matter cerebral blood flow is inversely correlated with structural and functional connectivity in the human brain

  2011cited by this paper
• Mechanisms of Short-Term Training-Induced Reaching Improvement in Severely Hemiparetic Stroke Patients

  2011cited by this paper
• A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface

  2011cited by this paper
• Motor Practice Promotes Increased Activity in Brain Regions Structurally Disconnected After Subcortical Stroke

  2011cited by this paper
• Chronic stroke recovery after combined BCI training and physiotherapy: a case report.

  2011cited by this paper
• Quantifying the Link between Anatomical Connectivity, Gray Matter Volume and Regional Cerebral Blood Flow: An Integrative MRI Study

  2011cited by this paper
• The role of the contralesional motor cortex for motor recovery in the early days after stroke assessed with longitudinal FMRI.

  2011cited by this paper
• Dynamic functional reorganization of the motor execution network after stroke.

  2010cited by this paper
• Review: Functional Neuroimaging Studies of Early Upper Limb Recovery After Stroke: A Systematic Review of the Literature

  2010cited by this paper
• Prediction of Individual Brain Maturity Using fMRI

  2010cited by this paper
• The relationship between motor deficit and primary motor cortex hemispheric activation balance after stroke: longitudinal fMRI study

  2010cited by this paper
• Combination of Brain-Computer Interface Training and Goal-Directed Physical Therapy in Chronic Stroke: A Case Report

  2010cited by this paper
• Recovery of Sensorimotor Function after Experimental Stroke Correlates with Restoration of Resting-State Interhemispheric Functional Connectivity

  2010cited by this paper
• Subcortical functional connectivity and verbal episodic memory in healthy elderly - A resting state fMRI study

  2010cited by this paper
• A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

  2009cited by this paper
• A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation

  2009cited by this paper
• Movement Intention After Parietal Cortex Stimulation in Humans

  2009cited by this paper
• Intensive Sensorimotor Arm Training Mediated by Therapist or Robot Improves Hemiparesis in Patients With Chronic Stroke

  2008cited by this paper
• Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging

  2008cited by this paper
• Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke

  2008cited by this paper
• Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

  2008cited by this paper
• Performance of blind source separation algorithms for fMRI analysis using a group ICA method.

  2007cited by this paper
• fMRI resting state networks define distinct modes of long-distance interactions in the human brain

  2006cited by this paper
• Breaking the silence: brain-computer interfaces (BCI) for communication and motor control.

  2006cited by this paper
• Motor system activation after subcortical stroke depends on corticospinal system integrity.

  2006cited by this paper
• New brain networks are active after right MCA stroke when moving the ipsilesional arm

  2005cited by this paper
• Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis

  2005cited by this paper
• Reorganization of the human ipsilesional premotor cortex after stroke.

  2004cited by this paper
• Mechanisms underlying recovery of motor function after stroke.

  2004cited by this paper
• A longitudinal fMRI study: in recovering and then in clinically stable sub-cortical stroke patients

  2004cited by this paper
• Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI

  2004cited by this paper
• Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults: A Review

  2003cited by this paper
• Correlation between cerebral reorganization and motor recovery after subcortical infarcts

  2003cited by this paper
• Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults

  2003cited by this paper
• Icasso: software for investigating the reliability of ICA estimates by clustering and visualization

  2003cited by this paper
• Functional connectivity in the resting brain: A network analysis of the default mode hypothesis

  2002cited by this paper
• Spatial awareness is a function of the temporal not the posterior parietal lobe

  2001cited by this paper
• Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

  2001cited by this paper
• Sequential activation brain mapping after subcortical stroke: changes in hemispheric balance and recovery

  2001cited by this paper
• Robot-aided neurorehabilitation.

  1998cited by this paper
• Functional Anatomy of Spatial Mental Imagery Generated from Verbal Instructions

  1996cited by this paper
• A JOURNAL OF NEUROLOGY REVIEW ARTICLE

  year unknowncited by this paper
• Philosophical Transactions of the Royal Society, Special Issue on ’Multimodal neuroimaging of brain connectivity’)

  year unknowncited by this paper

• Current State of the Clinical Applications of Artificial Intelligence in Stroke: A Literature Review.

  2026cites this paper
• Predicting rehabilitation outcomes of unilateral stroke after brain-computer interface training based on magnetic resonance imaging data

  2026cites this paper
• Speed-Biased Training Temporarily Improves Motor Performance of the Paretic Arm Compared to Accuracy-Biased Training in Chronic Stroke Survivors: The Phase 1 FAST Randomized Clinical Trial

  2025cites this paper
• Investigating the cortical effect of false positive feedback on motor learning in motor imagery based rehabilitative BCI training

  2025cites this paper
• Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery

  2025cites this paper
• Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges

  2025cites this paper
• Advances in clinical brain–computer interfaces for assistive substitution and rehabilitation: A rapid scoping review

  2025cites this paper
• Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

  2025cites this paper
• Top 100 Most-Cited Studies on MRI and Neuroplasticity in Stroke: A Scoping Review and Bibliometric Analysis of Citation Trends

  2025cites this paper
• [Research progress on brain mechanism of brain-computer interface technology in the upper limb motor function rehabilitation in stroke patients].

  2025cites this paper
• The ReHand-BCI trial: a randomized controlled trial of a brain-computer interface for upper extremity stroke neurorehabilitation

  2025cites this paper
• Using Passive BCI for Personalization of Assistive Wearable Devices: A Proof-of-Concept Study

  2025cites this paper
• Neural Engagement in Motor Imagery EEG Analysis of Active vs. Guided Commands in Post-Stroke Patients

  2025cites this paper
• EEG-based sensorimotor neurofeedback for motor neurorehabilitation in children and adults: A scoping review

  2024cites this paper
• Analysis of brain network differences in the active, motor imagery, and passive stoke rehabilitation paradigms based on the task-state EEG.

  2024cites this paper
• Noninvasive cerebellar stimulation and behavioral interventions: A crucial synergy for post-stroke motor rehabilitation

  2024cites this paper
• Novice Users’ Brain Activity and Biomechanics Change After Practicing Walking With an Ankle Exoskeleton

  2024cites this paper
• IpsiHand Brain–Computer Interface Therapy Induces Broad Upper Extremity Motor Rehabilitation in Chronic Stroke

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• Enhanced Functional Connectivity of Cortical-Subcortical Sensorimotor Areas After Brain-Controlled Supernumerary Robotic Finger Training: A Longitudinal fMRI Study

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• Neuroimaging of motor recovery after ischemic stroke − functional reorganization of motor network

  2024cites this paper
• Feasibility of Utilizing Passive BCI for Assistance Evaluation: A Case Study on a Knee Exoskeleton

  2024cites this paper
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  2024cites this paper
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  2023cites this paper
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  2023cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
• Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review

  2022cites this paper
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  2022cites this paper
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  2022cites this paper
• Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review

  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021influential citation
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  2021cites this paper
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  2021cites this paper
• Different reorganizations of functional brain networks after first-ever and recurrent ischemic stroke.

  2021cites this paper
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  2021cites this paper
• Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review

  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021influential citation
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
• BCI-Based Rehabilitation on the Stroke in Sequela Stage

  2020cites this paper
• Stroke and potential benefits of brain-computer interface.

  2020cites this paper
• Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis

  2020cites this paper
• Changes in electroencephalography complexity and functional magnetic resonance imaging connectivity following robotic hand training in chronic stroke

  2020cites this paper
• Neurofeedback of scalp bi-hemispheric EEG sensorimotor rhythm guides hemispheric activation of sensorimotor cortex in the targeted hemisphere

  2020influential citation
• Prospects for intelligent rehabilitation techniques to treat motor dysfunction

  2020cites this paper
• The Influence of Cortico-Cerebellar Structural Connectivity on Cortical Excitability in Chronic Stroke.

  2020cites this paper
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  2020cites this paper
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  2020cites this paper