How does upper extremity Fugl-Meyer motor score relate to resting-state EEG in chronic stroke? A power spectral density analysis

Saes, Mique; Meskers, Carel G.M.; Daffertshofer, Andreas; Munck, J.C. de; Kwakkel, Gert; Wegen, Erwin E. H. van

doi:10.1016/j.clinph.2019.01.007

Cited by 43 publications

(45 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DAR has been found to be increased in (sub-) acute stroke survivors compared to healthy persons [23,24]. However, it has been shown to be similar between chronic stroke survivors and healthy individuals [17]. Therefore, in this study of chronic stroke survivors, it is plausible that this parameter is not predictive of recovery in stroke, and therefore, it was not affected by the interventions.…”

Section: Resting-statementioning

confidence: 66%

“…This study was an exploratory study with a sample size of 19. Previous studies based on stroke patients had sample sizes similar to this study (10 to 21 participants) [17,20,25,62,73]. However, we recognize that the sample size used may not be large enough, and this study may, therefore, be underpowered to detect changes following spinal manipulation that occur in this population.…”

Section: Study Considerationsmentioning

confidence: 83%

“…Previously, in a study conducted in chronic stroke patients [17], BSI was found to be increased in the delta and theta bands but was unchanged in the alpha and beta bands. The same study also showed, using directional BSI, that the affected hemisphere had more resting-state power compared to the unaffected hemisphere, particularly in the delta and theta bands.…”

Section: Resting-statementioning

confidence: 89%

“…BSI dir for all subjects was multiplied by −1. This way, the positive values characterized higher power in the affected hemisphere compared to the unaffected hemisphere, and vice versa for the negative values [17].…”

Section: Bsimentioning

confidence: 90%

“…The pairwise-derived BSI was calculated by taking the absolute difference of the mean spectral power between the homologous left cL and right cR EEG channels. The BSI was calculated over the 1-25 Hz range [17] by…”

Section: Bsimentioning

confidence: 99%

See 4 more Smart Citations

Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients

et al. 2020

View full text Add to dashboard Cite

Objective: The purpose of this study was to evaluate the impact of chiropractic spinal manipulation on the early somatosensory evoked potentials (SEPs) and resting-state electroencephalography (EEG) recorded from chronic stroke patients. Methods: Seventeen male patients (53 ± 12 years old) participated in this randomized cross-over study. The patients received chiropractic spinal manipulation and control intervention, in random order, separated by at least 24 hours. EEG was recorded before and after each intervention during rest and stimulation of the non-paretic median nerve. For resting-state EEG, the delta-alpha ratio, brain-symmetry index, and power-spectra were calculated. For SEPs, the amplitudes and latencies of N20 and N30 peaks were assessed. Source localization was performed on the power-spectra of resting-state EEG and the N30 SEP peak. Results: Following spinal manipulation, the N30 amplitude increased by 39%, which was a significant increase compared to the control intervention (p < 0.01). The latency and changes to the strength of the cortical sources underlying the N30 peak were not significant. The N20 peak, the resting-state power-spectra, delta-alpha ratio, brain-symmetry index, and resting-state source localization showed no significant changes after either intervention. Conclusion: A single session of chiropractic spinal manipulation increased the amplitude of the N30 SEP peak in a group of chronic stroke patients, which may reflect changes to early sensorimotor function. More research is required to investigate the long-term effects of chiropractic spinal manipulation, to better understand what impact it may have on the neurological function of stroke survivors.

show abstract

Section: Resting-statementioning

confidence: 66%

Section: Study Considerationsmentioning

confidence: 83%

Section: Resting-statementioning

confidence: 89%

Section: Bsimentioning

confidence: 90%

Section: Bsimentioning

confidence: 99%

See 3 more Smart Citations

Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients

et al. 2020

View full text Add to dashboard Cite

show abstract

Electroencephalography resting‐state networks in people with Stroke

et al. 2021

View full text Add to dashboard Cite

Introduction The purpose of this study was to characterize resting‐state cortical networks in chronic stroke survivors using electroencephalography (EEG). Methods Electroencephalography data were collected from 14 chronic stroke and 11 neurologically intact participants while they were in a relaxed, resting state. EEG power was normalized to reduce bias and used as an indicator of network activity. Correlations of orthogonalized EEG activity were used as a measure of functional connectivity between cortical regions. Results We found reduced cortical activity and connectivity in the alpha (p < .05; p = .05) and beta (p < .05; p = .03) bands after stroke while connectivity in the gamma (p = .031) band increased. Asymmetries, driven by a reduction in the lesioned hemisphere, were also noted in cortical activity (p = .001) after stroke. Conclusion These findings suggest that stroke lesions cause a network alteration to more local (higher frequency), asymmetric networks. Understanding changes in cortical networks after stroke could be combined with controllability models to identify (and target) alternate brain network states that reduce functional impairment.

show abstract

An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients

Cao

2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

How does upper extremity Fugl-Meyer motor score relate to resting-state EEG in chronic stroke? A power spectral density analysis

Cited by 43 publications

References 26 publications

Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients

Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients

Electroencephalography resting‐state networks in people with Stroke

An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients

Contact Info

Product

Resources

About