Oscillatory beta/alpha band modulations: A potential biomarker of functional language and motor recovery in chronic stroke?

Ulanov, Maxim; Shtyrov, Yury

doi:10.3389/fnhum.2022.940845

Cited by 15 publications

(11 citation statements)

References 141 publications

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“…Our findings showed an increase in alpha and beta bands in both lesioned and non-lesioned hemispheres, but such improvement was not over sham. Enhancement of high-frequency bands (alpha and beta) over the frontal and central have been reported after motor training during post-stroke recovery phases, which are related to motor relearning and recovery process [ 7 , 44 , 51 – 53 ], reflecting a better motor recovery [ 44 , 54 ]. Enhancement of high-frequency bands (alpha and beta) have also been reported to increase following anodal tDCS.…”

Section: Discussionmentioning

confidence: 99%

“…The mechanism underlying the modulation of high-frequency bands is controversial [ 57 ]. However, a possible mechanism may involve the interaction between cellular GABAergic-glutamatergic neurons in the cortex [ 44 ]. GABA concentration influences alpha and beta bands [ 58 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

“…Resting-state EEG is a reliable biomarker that may help with screening in stroke [ 44 – 46 ]. Closed-eye resting-state EEG can examine spontaneous brain activity unbiased by any task.…”

Section: Methodsmentioning

confidence: 99%

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Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial

Vimolratana,

Aneksan,

Siripornpanich

et al. 2024

J NeuroEngineering Rehabil

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Background Anodal transcranial direct current stimulation (tDCS) is a beneficial adjunctive tool in stroke rehabilitation. However, only a few studies have investigated its effects on acute stroke and recruited only individuals with mild motor deficits. This study investigated the effect of five consecutive sessions of anodal tDCS and conventional physical therapy on brain activity and motor outcomes in individuals with acute stroke, with low and high motor impairments. Methods Thirty participants were recruited and randomly allocated to either the anodal or sham tDCS group. Five consecutive sessions of tDCS (1.5 mA anodal or sham tDCS for 20 min) were administered, followed by conventional physical therapy. Electroencephalography (EEG), Fugl-Meyer Motor Assessment (FMA), and Wolf Motor Function Test (WMFT) were performed at pre-, post-intervention (day 5), and 1-month follow-up. Sub-analyses were performed on participants with low and high motor impairments. The relationship between EEG power and changes in motor functions was assessed. Results Linear regression showed a significant positive correlation between beta bands and the FMA score in the anodal group. Elevated high frequency bands (alpha and beta) were observed at post-intervention and follow-up in all areas of both hemispheres in the anodal group, while only in the posterior area of the non-lesioned hemisphere in the sham group; however, such elevation induced by tDCS was not greater than sham. Lower limb function assessed by FMA was improved in the anodal group compared with the sham group at post-intervention and follow-up only in those with low motor impairment. For the upper limb outcomes, no difference between groups was found. Conclusions Five consecutive days of anodal tDCS and physical therapy in acute stroke did not result in a superior improvement of beta bands that commonly related to stroke recovery over sham, but improved lower extremity functions with a post-effect at 1-month follow-up in low motor impairment participants. The increase of beta bands in the lesioned brain in the anodal group was associated with improvement in lower limb function. Trial registration: NCT04578080, date of first registration 10/01/2020.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial

Vimolratana,

Aneksan,

Siripornpanich

et al. 2024

J NeuroEngineering Rehabil

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“…[ 7 , 37 ] Previous research has suggested that alterations in alpha and beta oscillations could reflect the intricate mechanisms of cortical excitatory-inhibitory balance, potentially serving as indicators of motor recovery post-stroke. [ 38 ] For instance, Cassidy utilized lasso regression to evaluate the extent of motor recovery during subacute stroke, identifying the high beta (20–30 Hz) and alpha bands (8–12 Hz) as significant contributors to the model, with both positive and negative associations with motor outcomes. [ 7 ] Our study confirms the specific modulatory effects of EA stimulation within the alpha and beta bands of the brain networks.…”

Section: Discussionmentioning

confidence: 99%

Electroacupuncture alters brain network functional connectivity in subacute stroke: A randomised crossover trial

Li,

Zou,

Zheng

et al. 2024

Medicine

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Background: Electroacupuncture (EA) is a promising rehabilitation treatment for upper-limb motor recovery in stroke patients. However, the neurophysiological mechanisms underlying its clinical efficacy remain unclear. This study aimed to explore the immediate modulatory effects of EA on brain network functional connectivity and topological properties. Methods: The randomized, single-blinded, self-controlled two-period crossover trial was conducted among 52 patients with subacute subcortical stroke. These patients were randomly allocated to receive either EA as the initial intervention or sham electroacupuncture (SEA) as the initial intervention. After a washout period of 24 hours, participants underwent the alternate intervention (SEA or EA). Resting state electroencephalography signals were recorded synchronously throughout both phases of the intervention. The functional connectivity (FC) of the parietofrontal network and small-world (SW) property indices of the whole-brain network were compared across the entire course of the two interventions. Results: The results demonstrated that EA significantly altered ipsilesional parietofrontal network connectivity in the alpha and beta bands (alpha: F = 5.05, P = .011; beta: F = 3.295, P = .047), whereas no significant changes were observed in the SEA group. When comparing between groups, EA significantly downregulated ipsilesional parietofrontal network connectivity in both the alpha and beta bands during stimulation (alpha: t = −1.998, P = .049; beta: t = −2.342, P = .022). Significant differences were also observed in the main effects of time and the group × time interaction for the SW index (time: F = 5.516, P = .026; group × time: F = 6.892, P = .01). In terms of between-group comparisons, the EA group exhibited a significantly higher SW index than the SEA group at the post-stimulation stage (t = 2.379, P = .018). Conclusion: These findings suggest that EA downregulates ipsilesional parietofrontal network connectivity and enhances SW properties, providing a potential neurophysiological mechanism for facilitating motor performance in stroke patients.

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“…Spectral analysis is a mathematical technique that utilizes the Fourier transform to analyze the frequency content of signals, with the most common approach being the analysis of the variation of power spectral density (PSD) or relative power (RP) of a frequency band of interest. ERD, on the other hand, involves the decrease in neural oscillation power in response to a time-locked event, such as MI, and has been shown to promote motor recovery and rehabilitation by facilitating changes in brain connections and the development of new neural pathways 3 , 17 , 18 . However, it is important to note that these methods do not provide a complete understanding of the complex reorganization and communication patterns within the brain network.…”

Section: Introductionmentioning

confidence: 99%

Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice

Phunruangsakao,

Achanccaray,

Bhattacharyya

et al. 2023

Sci Rep

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The use of neurofeedback is an important aspect of effective motor rehabilitation as it offers real-time sensory information to promote neuroplasticity. However, there is still limited knowledge about how the brain’s functional networks reorganize in response to such feedback. To address this gap, this study investigates the reorganization of the brain network during motor imagery tasks when subject to visual stimulation or visual-electrotactile stimulation feedback. This study can provide healthcare professionals with a deeper understanding of the changes in the brain network and help develop successful treatment approaches for brain–computer interface-based motor rehabilitation applications. We examine individual edges, nodes, and the entire network, and use the minimum spanning tree algorithm to construct a brain network representation using a functional connectivity matrix. Furthermore, graph analysis is used to detect significant features in the brain network that might arise in response to the feedback. Additionally, we investigate the power distribution of brain activation patterns using power spectral analysis and evaluate the motor imagery performance based on the classification accuracy. The results showed that the visual and visual-electrotactile stimulation feedback induced subject-specific changes in brain activation patterns and network reorganization in the $$\alpha$$ α band. Thus, the visual-electrotactile stimulation feedback significantly improved the integration of information flow between brain regions associated with motor-related commands and higher-level cognitive functions, while reducing cognitive workload in the sensory areas of the brain and promoting positive emotions. Despite these promising results, neither neurofeedback modality resulted in a significant improvement in classification accuracy, compared with the absence of feedback. These findings indicate that multimodal neurofeedback can modulate imagery-mediated rehabilitation by enhancing motor-cognitive communication and reducing cognitive effort. In future interventions, incorporating this technique to ease cognitive demands for participants could be crucial for maintaining their motivation to engage in rehabilitation.

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Oscillatory beta/alpha band modulations: A potential biomarker of functional language and motor recovery in chronic stroke?

Cited by 15 publications

References 141 publications

Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial

Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial

Electroacupuncture alters brain network functional connectivity in subacute stroke: A randomised crossover trial

Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice

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