Effects of tDCS on Brain Functional Network of Patients After Stroke

Wang, Hongli; Yu, Hongli; Liu, Mengmeng; Xu, Guizhi; Guo, Lei; Wang, Chunfang; Sun, Chongling

doi:10.1109/access.2020.3037924

Cited by 10 publications

(6 citation statements)

References 61 publications

(68 reference statements)

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“…Granger causality (GC) is a nonlinear analysis tool that can determine the direction of neuron interaction and can be used to measure effective connectivity [ 18 ]. It has been widely used to analyze EEG signals [ 19 , 20 ] and has been proven to play an important role in providing EEG change information [ 21 , 22 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm

Guo

et al. 2022

Brain Sciences

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Motor imagery (MI) refers to the mental rehearsal of movement in the absence of overt motor action, which can activate or inhibit cortical excitability. EEG mu/beta oscillations recorded over the human motor cortex have been shown to be consistently suppressed during both the imagination and performance of movements, although the specific effect on brain function remains to be confirmed. In this study, Granger causality (GC) was used to construct the brain functional network of subjects during motor imagery and resting state based on EEG in order to explore the effects of motor imagery on brain function. Parameters of the brain functional network were compared and analyzed, including degree, clustering coefficient, characteristic path length and global efficiency of EEG mu/beta rhythm in different states. The results showed that the clustering coefficient and efficiency of EEG mu/beta rhythm decreased significantly during motor imagery (p < 0.05), while degree distribution and characteristic path length increased significantly (p < 0.05), mainly concentrated in the frontal lobe and sensorimotor area. For the resting state after motor imagery, the changes of brain functional characteristics were roughly similar to those of the task state. Therefore, it is concluded that motor imagery plays an important role in activation of cortical excitability.

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Section: Methodsmentioning

confidence: 99%

Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm

Guo

et al. 2022

Brain Sciences

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“…Some advantages of VAR models include that they are easily interpretable, can capture a wide range of network dynamics, are easy to fit to data, produce directed estimates of neural communication, and allow for a frequency specific analysis of neural interactions. Hence, VAR based measures have been successfully applied to various neurophysiological datasets to study changes due to stroke 23,24 , patterns of seizure propagation 25 , or the rehabilitative effects of electrical or magnetic stimulation [26][27][28] .…”

Section: Introductionmentioning

confidence: 99%

“…These zeros also cause large deflections in group delay (bottom) that closely match the oscillatory patterns of the phase error. (d) Distribution of correlation coefficients after band-passfiltering the ground truth and estimated flow into theta (4-7 Hz), beta(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), gamma, and high-gamma(70-200 Hz) frequency bands. The black surrounding box indicates the best performing model within each band.…”

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confidence: 99%

Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression

Schwock,

Bloch,

Khateeb

et al. 2024

Preprint

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Estimating dynamic network communication is attracting increased attention, spurred by rapid advancements in multi-site neural recording technologies and efforts to better understand cognitive processes. Yet, traditional methods, which infer communication from statistical dependencies among distributed neural recordings, face core limitations: they do not model neural interactions in a biologically plausible way, neglect spatial information from the recording setup, and yield predominantly static estimates that cannot capture rapid changes in the brain. To address these issues, we introduce a graph diffusion autoregressive model. Designed for distributed field potential recordings, our model combines vector autoregression with a network communication process to produce a high-resolution communication signal. We successfully validated the model on simulated neural activity and recordings from subdural and intracortical micro-electrode arrays placed in macaque sensorimotor cortex demonstrating its ability to describe rapid communication dynamics induced by optogenetic stimulation, changes in resting state communication, and the trial-by-trial variability during a reach task.

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“…Non-invasive neuromodulation techniques such as transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS) can normalize the activation of motivation-related brain regions in stroke patients 38,40 . Some evidence suggests that TMS or tDCS can improve apathy and alter the balance of activity in prefrontal cortex and subcortical areas to promote successful self-regulation in patients 41,42 .…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of using reward strategies combined with transcranial direct current stimulation (RstDCS) on motivation in chronic stroke patients with upper limb disorders: study protocol for a randomized controlled trial

Zhou

Zhao

et al. 2023

Preprint

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Introduction Stroke survivors tend to have low motivation for rehabilitation, which prevent them from completing the rehabilitation training task effectively and participating in daily activities. Reward strategies can stimulate patients' motivation for rehabilitation, but the duration of their effect is unknown. tDCS is a technique capable of promoting plastic changes and functional reorganization of cortical functional areas.When it acts on dlPFC, it can improve the functional connectivity of brain areas associated with goal-directed behavior. Reward strategies combined with tDCS（RstDCS）have been shown to make normal individuals work harder at performing tasks. However, there are no studies on whether this combined strategy improves motivation in stroke patients and whether it has a long-lasting effect on motivation maintenance. Methods and analysis 87 stroke survivors who have low motivation and upper extremity dysfunction will be randomized to receive conventional, Rs, or RstDCS treatment. Patients in each group will undertake 15 sessions of tDCS real or sham stimulation of the left dlPFC for 3 weeks in conjunction with conventional rehabilitation or reward strategy training. Following this, the RS treatment group and RstDCS treatment group will be given a 3-week outpatient self-monitoring training program, while the conventional group will be given home rehabilitation instruction prior to discharge. Rehabilitation motivation is the primary outcome measure and will be assessed using RMS. RMS,FMA, FIM and ICF activity and social engagement scale will be compared at baseline, 3 weeks, 6 weeks, and 3 months after enrollment. Ethics and dissemination The study has been approved by the Ethics Committee of Yueyang Hospital of Integrated Chinese and Western Medicine Affiliated to SHUTCM (2021-122). All participating patients will provide written informed consent. The results will be disseminated through (open access) peer-reviewed publications, networks of scientists, professionals, and the public. Trial registration number: ChiCTR2300069068 Keywords: Stroke，Rehabilitation medicine，Social cognition，Patient-centered care，Electric Stimulation Therapy

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Effects of tDCS on Brain Functional Network of Patients After Stroke

Cited by 10 publications

References 61 publications

Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm

Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm

Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression

Effectiveness of using reward strategies combined with transcranial direct current stimulation (RstDCS) on motivation in chronic stroke patients with upper limb disorders: study protocol for a randomized controlled trial

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