Can somatosensory electrical stimulation relieve spasticity in post-stroke patients? A TMS pilot study
-
André Salles Cunha Peres
,
Victor Hugo Souza
Abstract
Evidence suggests that somatosensory electrical stimulation (SES) may decrease the degree of spasticity from neural drives, although there is no agreement between corticospinal modulation and the level of spasticity. Thus, stroke patients and healthy subjects were submitted to SES (3 Hz) for 30′ on the impaired and dominant forearms, respectively. Motor evoked potentials induced by single-pulse transcranial magnetic stimulation were collected from two forearm muscles before and after SES. The passive resistance of the wrist joint was measured with an isokinetic system. We found no evidence of an acute carry-over effect of SES on the degree of spasticity.
Author Statement
Research funding: This work was partially funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) [PROCAD 1389/2008], Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) [306817/2014-4 and 480108/2012-9], and CEPID NeuroMat Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) [2013/07699-0]. CDV is also supported by Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) [E-26/110.526/2012] and Financiadora de Estudos e Projetos (FINEP) [PROINFRA HOSPITALAR 18.569-8].
Conflict of interest: Authors state no conflict of interest.
Informed consent: Each volunteer gave written informed consent prior to the experiment
Ethical approval: The research related to human use complied with all the relevant national regulations and institutional policies, in accordance with the Declaration of Helsinki the local ethical committee (process number: 8728/10) approved the protocol.
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©2018 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Research articles
- A new in vitro spine test rig to track multiple vertebral motions under physiological conditions
- In-service characterization of a polymer wick-based quasi-dry electrode for rapid pasteless electroencephalography
- Spike detection using a multiresolution entropy based method
- Obstacles in using a computer screen for steady-state visually evoked potential stimulation
- Classification of pulmonary pathology from breath sounds using the wavelet packet transform and an extreme learning machine
- Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics
- Failure analysis of eleven Gates Glidden drills that fractured intraorally during post space preparation. A retrieval analysis study
- Assessing multiple muscle activation during squat movements with different loading conditions – an EMG study
- In-vivo monitoring of infection via implantable microsensors: a pilot study
- Analysis of structural brain MRI and multi-parameter classification for Alzheimer’s disease
- False spectra formation in the differential two-channel scheme of the laser Doppler flowmeter
- A priori knowledge integration for the detection of cerebral aneurysm
- Is the location of the signal intensity weighted centroid a reliable measurement of fluid displacement within the disc?
- Image-based 3D surface approximation of the bladder using structure-from-motion for enhanced cystoscopy based on phantom data
- Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization
- Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm
- A hybrid active force control of a lower limb exoskeleton for gait rehabilitation
- Short communication
- Can somatosensory electrical stimulation relieve spasticity in post-stroke patients? A TMS pilot study
