Prediction of motor recovery after stroke: advances in biomarkers

Stinear, Cathy M.

doi:10.1016/s1474-4422(17)30283-1

Cited by 254 publications

(242 citation statements)

References 87 publications

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“…The combined measures account for 85% of the variance, whereas unimodal models explain only 35% (CST‐R) and 37% (EEG power) of the variance. We included age as a predictive factor in the model because younger age has been shown to be favorable for outcome (Nakayama, Jørgensen, Raaschou, & Olsen, ; Stinear, ; Veerbeek et al, ). In the present model, however, age was positively associated to motor function, which might well be an unspecific result given the small sample size.…”

Section: Discussionmentioning

confidence: 99%

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The functional role of beta‐oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract

Quandt

Bönstrup

Schulz

et al. 2019

Human Brain Mapping

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Hand motor function is often severely affected in stroke patients. Non‐satisfying recovery limits reintegration into normal daily life. Understanding stroke‐related network changes and identifying common principles that might underlie recovered motor function is a prerequisite for the development of interventional therapies to support recovery. Here, we combine the evaluation of functional activity (multichannel electroencephalography) and structural integrity (diffusion tensor imaging) in order to explain the degree of residual motor function in chronic stroke patients. By recording neural activity during a reaching and grasping task that mimics activities of daily living, the study focuses on deficit‐related neural activation patterns. The study showed that the functional role of movement‐related beta desynchronization in the supplementary motor area (SMA) for residual hand motor function in stroke patients depends on the microstructural integrity of the corticospinal tract (CST). In particular, in patients with damaged CST, stronger task‐related activity in the SMA was associated with worse residual motor function. Neither CST damage nor functional brain activity alone sufficiently explained residual hand motor function. The findings suggest a central role of the SMA in the motor network during reaching and grasping in stroke patients, the degree of functional relevance of the SMA is depending on CST integrity.

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Section: Discussionmentioning

confidence: 99%

“…Over the last years, it became clear that treatment outcomes are quite heterogeneous across patients including responders and nonresponders (Stinear, ). Likely, there might not be one generalizable interventional treatment protocol for all patients.…”

Section: Discussionmentioning

confidence: 99%

The functional role of beta‐oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract

Quandt

Bönstrup

Schulz

et al. 2019

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Without an intact corticospinal tract, no type of therapeutic approach, whether MST, functional electrical stimulation, robotics, etc., will be effective. Thus, we need to use biomarkers that tell us whether an individual has the neurobiological capacity to improve . Research studies in the motor domain often stratify participants according to stroke severity to avoid scenarios where all severely affected individuals end up in the control or experimental group.…”

Section: How Do We Move Forward?mentioning

confidence: 99%

Music‐supported therapy for stroke motor recovery: theoretical and practical considerations

Chen

2018

Annals of the New York Academy of Sciences

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Music may confer benefits for well-being and health. What is the state of knowledge and evidence for a role of music in supporting the rehabilitation of movements after stroke? In this brief perspective, I provide background context and information about stroke recovery in general, in order to spark reflection and discussion for how we think music may impact motor recovery, given the current clinical milieu.

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“…Prediction of patient recovery has been an area of active research where much of the recent developments have focused on using imaging techniques to correlate changes in brain structure and perfusion patterns to clinical outcomes [10–15], or to use other neurophysiological and neuroimaging biomarkers to predict recovery [16, 17]. However, these approaches offer reasonable predictions of recovery only when the brain is imaged immediately following a stroke.…”

Section: Introductionmentioning

confidence: 99%

Regression techniques employing feature selection to predict clinical outcomes in stroke

2018

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It is not fully clear which measurable factors can reliably predict chronic stroke patients’ recovery of motor ability. In this analysis, we investigate the impact of patient demographic characteristics, movement features, and a three-week upper-extremity intervention on the post-treatment change in two widely used clinical outcomes—the Upper Extremity portion of the Fugl-Meyer and the Wolf Motor Function Test. Models based on LASSO, which in validation tests account for 65% and 86% of the variability in Fugl-Meyer and Wolf, respectively, were used to identify the set of salient demographic and movement features. We found that age, affected limb, and several measures describing the patient’s ability to efficiently direct motions with a single burst of speed were the most consequential in predicting clinical recovery. On the other hand, the upper-extremity intervention was not a significant predictor of recovery. Beyond a simple prognostic tool, these results suggest that focusing therapy on the more important features is likely to improve recovery. Such validation-intensive methods are a novel approach to determining the relative importance of patient-specific metrics and may help guide the design of customized therapy.

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Prediction of motor recovery after stroke: advances in biomarkers

Cited by 254 publications

References 87 publications

The functional role of beta‐oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract

The functional role of beta‐oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract

Music‐supported therapy for stroke motor recovery: theoretical and practical considerations

Regression techniques employing feature selection to predict clinical outcomes in stroke

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