Literature DB >> 11776659

Prognostic value of lower limb motor evoked potentials for motor impairment and disability after 8 weeks of stroke rehabilitation--a prospective investigation of 100 patients.

D Steube1, S Wiethölter, C Correll.   

Abstract

We investigated 100 patients with a one-sided, functionally relevant hemiparesis after stroke. Motor evoked potentials (MEPs) were obtained from the anterior tibial muscle four or more weeks after the insult as well as after an eight week period of inpatient rehabilitation. The MEP results were correlated with motor deficit, walking ability, and activities of daily living (ADLs). Patients with loss of MEP had lower scores on the Motricity Index (MI) both at the beginning and at the end of the rehabilitative treatment (p < 0.001) and also gained fewer points on the MI than patients with preserved MEP. This was the case even when analyzing the lower limb scores alone (p < 0.001 before treatment, p = 0.003 after eight week rehabilitation). When the MEP was preserved, patients were more likely to regain independence in walking (specificity 0.67, positive predictive value 0.96) and stair climbing (specificity 1.0, positive predictive value 1.0). Patients with preserved MEP also scored higher on global outcome scales such as Barthel Index (BI), Functional Independence Measure (FIM) and Glasgow Outcome Scale (GOS). However, these differences did not reach statistical significance (p > 0.05). According to our results, MEPs of the lower extremity are of predictive value for the rehabilitative treatment of patients in the postacute phase after stroke. This is especially true for the extent of the motor impairment and walking ability. The utilization of MEPs for prediction of future levels of disability and handicap is limited and only useful taking into consideration other clinical and diagnostic findings as well as the patients' cognitive, emotional and social state.

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Mesh:

Year:  2001        PMID: 11776659

Source DB:  PubMed          Journal:  Electromyogr Clin Neurophysiol        ISSN: 0301-150X


  9 in total

1.  Characterizing differential poststroke corticomotor drive to the dorsi- and plantarflexor muscles during resting and volitional muscle activation.

Authors:  Jacqueline A Palmer; Ryan Zarzycki; Susanne M Morton; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  J Neurophysiol       Date:  2017-01-11       Impact factor: 2.714

2.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

3.  Atypical cortical drive during activation of the paretic and nonparetic tibialis anterior is related to gait deficits in chronic stroke.

Authors:  Jacqueline A Palmer; Alan R Needle; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2015-06-18       Impact factor: 3.708

4.  Symmetry of corticomotor input to plantarflexors influences the propulsive strategy used to increase walking speed post-stroke.

Authors:  Jacqueline A Palmer; HaoYuan Hsiao; Louis N Awad; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2015-12-12       Impact factor: 3.708

Review 5.  Transcranial magnetic stimulation implementation on stroke prognosis.

Authors:  Stella Karatzetzou; Dimitrios Tsiptsios; Aikaterini Terzoudi; Nikolaos Aggeloussis; Konstantinos Vadikolias
Journal:  Neurol Sci       Date:  2021-11-30       Impact factor: 3.830

6.  Comparing cortico-motor hotspot identification methods in the lower extremities post-stroke: MEP amplitude vs. latency.

Authors:  J H Kindred; J J Cash; J B Ergle; C C Charalambous; E C Wonsetler; M G Bowden
Journal:  Neurosci Lett       Date:  2021-04-19       Impact factor: 3.197

Review 7.  Ipsilateral motor pathways to the lower limb after stroke: Insights and opportunities.

Authors:  Brice T Cleland; Sangeetha Madhavan
Journal:  J Neurosci Res       Date:  2021-03-04       Impact factor: 4.433

8.  Machine-Learning-Based Rehabilitation Prognosis Prediction in Patients with Ischemic Stroke Using Brainstem Auditory Evoked Potential.

Authors:  Jangjay Sohn; Il-Young Jung; Yunseo Ku; Yeongwook Kim
Journal:  Diagnostics (Basel)       Date:  2021-04-08

9.  May clinical neurophysiology help to predict the recovery of neurological early rehabilitation patients?

Authors:  Jens D Rollnik
Journal:  BMC Neurol       Date:  2015-11-21       Impact factor: 2.474

  9 in total

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