P 78. The prognostic value of motor-evoked potentials in motor recovery and functional outcome after stroke – a systematic review of the literature

Bembenek, Jan; Kurczych, Katarzyna; Karliñski, Michał; Członkowska, Anna

doi:10.1016/j.clinph.2013.04.156

Cited by 36 publications

(53 citation statements)

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“…Two systematic reviews have been conducted on the prediction of arm recovery [3,6] and several more systematic reviews have investigated the prognostic value of neurophysiological and neuroimaging predictors on arm recovery [105,106,107]. The reviews conclude there is sufficient evidence to suggest neurophysiological and neuroimaging data have the potential to predict arm recovery [3,6,105,106,107].…”

Section: Arm Recovery: Do Neurophysiological and Neuroimaging Datamentioning

confidence: 99%

“…The reviews conclude there is sufficient evidence to suggest neurophysiological and neuroimaging data have the potential to predict arm recovery [3,6,105,106,107]. However it remains debatable whether neurophysiological and neuroimaging data provide sufficient additional predictive information, compared to clinical data alone, to justify their use for prediction of arm recovery in clinical practice.…”

Section: Arm Recovery: Do Neurophysiological and Neuroimaging Datamentioning

confidence: 99%

“…While many studies suggest neurophysiology and neuroimaging data can be helpful in predicting arm recovery [3,6,105,106,107], there is no strong evidence that models containing neurophysiology or neuroimaging data predict arm recovery better than models containing clinical data, or that the addition of neurophysiology or neuroimaging data to models containing clinical predictors provide sufficient increase in predictive accuracy to warrant their use. Researchers who develop prediction models based on neurophysiological or neuroimaging data should routinely investigate whether the neurophysiological or neuroimaging data provide better predictive accuracy than models based on clinical data alone.…”

Section: Conclusion and Recommendations For Future Studiesmentioning

confidence: 99%

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Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Kwah

Herbert

2016

Brain Sciences

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Clinicians often base their predictions of walking and arm recovery on multiple predictors. Multivariate prediction models may assist clinicians to make accurate predictions. Several reviews have been published on the prediction of motor recovery after stroke, but none have critically appraised development and validation studies of models for predicting walking and arm recovery. In this review, we highlight some common methodological limitations of models that have been developed and validated. Notable models include the proportional recovery model and the PREP algorithm. We also identify five other models based on clinical predictors that might be ready for further validation. It has been suggested that neurophysiological and neuroimaging data may be used to predict arm recovery. Current evidence suggests, but does not show conclusively, that the addition of neurophysiological and neuroimaging data to models containing clinical predictors yields clinically important increases in predictive accuracy.

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Section: Arm Recovery: Do Neurophysiological and Neuroimaging Datamentioning

confidence: 99%

Section: Arm Recovery: Do Neurophysiological and Neuroimaging Datamentioning

confidence: 99%

Section: Conclusion and Recommendations For Future Studiesmentioning

confidence: 99%

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Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Kwah

Herbert

2016

Brain Sciences

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“…Studies analyzing MEP amplitude as a univariate measure unequivocally show that the presence and magnitude of MEPs is a robust prognostic of long-term recovery in stroke [1, 2]. However, analogous to other imaging modalities, intensity of activation at a single spatial locus reveals only part of the story.…”

Section: Introductionmentioning

confidence: 99%

Sensorimotor cortex reorganization in subacute and chronic stroke: A neuronavigated TMS study

Yarossi

Adamovich

Tunik

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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The integrity of the corticospinal system is an important biomarker for recovery from stroke. However, mapping the topography of the corticospinal system in subacute stroke is not trivial and how it changes over the course of recovery is poorly understood. We intend to use a transcranial magnetic stimulation (TMS) based mapping approach to quantify the topographic landscape of corticospinal activation in the ipsi- and contralesional sensorimotor cortices in the subacute and chronic phase of stroke. Mapping was conducted before (PRE) and after (POST), intervention in 10 chronic subjects and 8 subacute subjects. Reorganization was quantified in a unique way by dissociating reorganization attributed to changes in the expanse (area) of the sensorimotor territory, from that attributed to changes in the robustness of the activation (amplitude). In doing so, we observed differences in reorganization in the subacute and chronic stages indicating that recovery in different stages may not be guided by similar neurophysiological mechanisms of neuroplasticity.

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“…Motor evoked potentials (MEPs) generated by TMS are absent in the vast majority of patients with a severe motor deficit [2,3]. Moreover, MEP evaluation seems to be helpful in predicting functional recovery after stroke [4].…”

Section: Introductionmentioning

confidence: 99%

Effects of Hand Vibration on Motor Output in Chronic Hemiparesis

Melo

Iancu

Dyer

et al. 2015

International Journal of Brain Science

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Background. Muscle vibration has been shown to increase the corticospinal excitability assessed by transcranial magnetic stimulation (TMS) and to change voluntary force production in healthy subjects. Objectives. To evaluate the effect of vibration on corticospinal excitability using TMS and on maximal motor output using maximal voluntary contraction (MVC) in individuals with chronic hemiparesis. Methodology. Nineteen hemiparetic and 17 healthy control subjects participated in this study. Motor evoked potentials (MEPs) and MVC during lateral pinch grip were recorded at first dorsal interosseous muscle in a single session before, during, and after one-minute trials of 80 Hz vibration of the thenar eminence. Results. In hemiparetic subjects, vibration increased MEP amplitudes to a level comparable to that of control subjects and triggered a MEP response in 4 of 7 patients who did not have a MEP at rest. Also, vibration increased the maximal rate of force production (d /d max ) in both control and hemiparetic subjects but it did not increase MVC. Conclusion. Motor response generated with a descending cortical drive in chronic hemiparetic subjects can be increased during vibration. Vibration could be used when additional input is needed to reveal motor responses and to increase rate of force generation.

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P 78. The prognostic value of motor-evoked potentials in motor recovery and functional outcome after stroke – a systematic review of the literature

Cited by 36 publications

References 0 publications

Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Sensorimotor cortex reorganization in subacute and chronic stroke: A neuronavigated TMS study

Effects of Hand Vibration on Motor Output in Chronic Hemiparesis

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