Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

Norman, Sumner L.; McFarland, Dennis J.; Miner, A; Cramer, Steven C.; Wolbrecht, Eric T.; Wolpaw, Jonathan R.; Reinkensmeyer, David J.

doi:10.1088/1741-2552/aad724

Cited by 40 publications

(54 citation statements)

References 68 publications

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“…A total of 1015 records were screened, of which the full texts of 80 were assessed for eligibility. Finally, 33 studies were included in the current systematic review [6, 7, 15-17, 26, 35, 37, 46, 47, 49-71], of which 18 studies were of single-group design [26,37,[56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71], and 15 studies were of controlled-trial design [6, 7, 15-17, 35, 46, 47, 49-55]. In the current review, only studies with a controlled-trial design were included in our metaanalysis, and those with single-group designs were only included in our qualitative description.…”

Section: Literature Search and Study Characteristicsmentioning

confidence: 99%

Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis

Bai

Fong

Zhang

et al. 2020

J NeuroEngineering Rehabil

148

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Background: A substantial number of clinical studies have demonstrated the functional recovery induced by the use of brain-computer interface (BCI) technology in patients after stroke. The objective of this review is to evaluate the effect sizes of clinical studies investigating the use of BCIs in restoring upper extremity function after stroke and the potentiating effect of transcranial direct current stimulation (tDCS) on BCI training for motor recovery. Methods: The databases (PubMed, Medline, EMBASE, CINAHL, CENTRAL, PsycINFO, and PEDro) were systematically searched for eligible single-group or clinical controlled studies regarding the effects of BCIs in hemiparetic upper extremity recovery after stroke. Single-group studies were qualitatively described, but only controlled-trial studies were included in the meta-analysis. The PEDro scale was used to assess the methodological quality of the controlled studies. A meta-analysis of upper extremity function was performed by pooling the standardized mean difference (SMD). Subgroup meta-analyses regarding the use of external devices in combination with the application of BCIs were also carried out. We summarized the neural mechanism of the use of BCIs on stroke. Results: A total of 1015 records were screened. Eighteen single-group studies and 15 controlled studies were included. The studies showed that BCIs seem to be safe for patients with stroke. The single-group studies consistently showed a trend that suggested BCIs were effective in improving upper extremity function. The meta-analysis (of 12 studies) showed a medium effect size favoring BCIs for improving upper extremity function after intervention (SMD = 0.42; 95% CI = 0.18-0.66; I 2 = 48%; P < 0.001; fixed-effects model), while the long-term effect (five studies) was not significant (SMD = 0.12; 95% CI = − 0.28-0.52; I 2 = 0%; P = 0.540; fixed-effects model). A subgroup meta-analysis indicated that using functional electrical stimulation as the external device in BCI training was more effective than using other devices (P = 0.010). Using movement attempts as the trigger task in BCI training appears to be more effective than using motor imagery (P = 0.070). The use of tDCS (two studies) could not further facilitate the effects of BCI training to restore upper extremity motor function (SMD = − 0.30; 95% CI = − 0.96-0.36; I 2 = 0%; P = 0.370; fixed-effects model).

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Section: Literature Search and Study Characteristicsmentioning

confidence: 99%

Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis

Bai

Fong

Zhang

et al. 2020

J NeuroEngineering Rehabil

148

View full text Add to dashboard Cite

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“…In healthy controls, the temporal-spatial feature of motor preparation related to non-visually guided hand/finger movements is characterized by a flow of information from secondary motor areas to contralateral primary motor cortex [6][7][8] . In addition, previous results reported decreased power (i.e., desynchronization) in beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and mu (8)(9)(10)(11)(12) Hz) during motor preparation, and an association between such desynchronization and the release of the motor command 12,13 .…”

Section: Introductionmentioning

confidence: 85%

“…Eight individuals with chronic hemiparetic stroke (mean age: 63.5+4) with subcortical lesions and severe impairment (UEFMA: [11][12][13][14][15][16][17][18][19][20][21][22][23][24] participated in this study. Participant information and the methods of the intervention have been reported before 5,24 .…”

Section: Stroke Participantsmentioning

confidence: 99%

“…We argue that understanding how changes in motor preparation may facilitate changes in motor execution is also critical. One piece of the evidence in favor of this is from Norman and colleagues, who showed that specifically training preparation-related cortical oscillations led to subsequent improvements in motor function, further cementing the crucial role for motor preparation in proper movement 11 . Given the critical role of motor preparation in performance, investigating how these frequency characteristics during motor preparation change following an intervention would provide additional details into the nature of any observed cortical reorganization.…”

Section: Introductionmentioning

confidence: 99%

“…The spectrogram from 4 to 48 Hz at each source was computed using a Morlet wavelet transform (wavelet number: 7). This range includes theta(4)(5)(6)(7) Hz), alpha(8)(9)(10)(11)(12), beta(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (31-48 Hz) frequencies. The spectrogram was…”

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confidence: 99%

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Intervention-Induced Changes in Cortical Connectivity and Activity in Severe Chronic Hemiparetic Stroke

Wilkins

Yao

2019

Preprint

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Effective interventions have demonstrated the ability to improve motor function by reengaging ipsilesional resources, which has been shown to be critical and feasible for hand function recovery even in individuals with severe chronic stroke. However, previous studies focus on changes in brain activity related to motor execution. How changes in motor preparation may facilitate these changes at motor execution is still unclear. In order to address this question, we had 8 individuals with severe chronic hemiparetic stroke participate in a device-assisted intervention. We then quantified changes in both coupling between regions during motor preparation and changes in topographical cortical activity at motor execution for both the hand in isolation and together with the shoulder using high density EEG. We hypothesized that intervention-induced changes in cortico-cortico interactions during motor preparation would lead to changes in activity at motor execution specifically towards an increased reliance on the ipsilesional hemisphere. We found that, following the intervention, individuals displayed a reduction in coupling from ipsilesional M1 to contralesional M1 within gamma frequencies during motor preparation for hand opening. This was followed by a reduction in activity in the contralesional primary sensorimotor cortex during motor execution. Meanwhile, during lifting and opening, a shift to inhibitory coupling within ipsilesional M1 from gamma to beta frequencies was accompanied by an increase in ipsilesional primary sensorimotor cortex activity following the intervention. Together, these results show that intervention-induced changes in coupling within or between motor regions during motor preparation lead to corresponding changes in focal cortical activity at execution.

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Brain-Computer Interface for Stroke Rehabilitation

Mane

Ang

Guan

2021

Handbook of Neuroengineering

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Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reported on data collected from stroke patients and clinical studies that reported on the motor improvements of stroke patients. Both types of studies are important as the former advances the technology of BCI for stroke, and the latter demonstrates the clinical efficacy of BCI in stroke. Finally some challenges are discussed.

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Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

Abstract: These results suggest that learning to control person-specific pre-movement SMR features associated with finger extension can improve finger extension ability after stroke for some individuals. These results merit further investigation in a rehabilitation context.

Cited by 40 publications

References 68 publications

Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis

Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis

Intervention-Induced Changes in Cortical Connectivity and Activity in Severe Chronic Hemiparetic Stroke

Brain-Computer Interface for Stroke Rehabilitation

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