Evidence map›Paper›PMID 25565937›Full record

ArticleFrontiers in neuroscience2014

Post-stroke balance rehabilitation under multi-level electrotherapy: a conceptual review.

Anirban Dutta, Uttama Lahiri, Abhijit Das, Michael A Nitsche, David Guiraud

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 3 countries.

Anirban DuttaDEMAR (INRIA Sophia Antipolis), INRIA, CNRS: UMR5506, Université Montpellier II - Sciences et Techniques, Université Montpellier I Montpellier, France ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CNRS: UMR5506, Université Montpellier II - Sciences et Techniques Montpellier, France.
Uttama LahiriElectrical Engineering, Indian Institute of Technology Gandhinagar, India.
Abhijit DasDepartment of Neurorehabilitation, Institute of Neurosciences Kolkata, India.
Michael A NitscheDepartment of Clinical Neurophysiology, Göttingen University Medical School Göttingen, Germany.
David GuiraudDEMAR (INRIA Sophia Antipolis), INRIA, CNRS: UMR5506, Université Montpellier II - Sciences et Techniques, Université Montpellier I Montpellier, France ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CNRS: UMR5506, Université Montpellier II - Sciences et Techniques Montpellier, France.
Indian Institute of Technology Gandhinagar · INInstitute of Neurosciences Kolkata · INLaboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier · FRUniversité de Montpellier · FRUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is caused when an artery carrying blood from heart to an area in the brain bursts or a clot obstructs the blood flow thereby preventing delivery of oxygen and nutrients. About half of the stroke survivors are left with some degree of disability. Innovative methodologies for restorative neurorehabilitation are urgently required to reduce long-term disability. The ability of the nervous system to respond to intrinsic or extrinsic stimuli by reorganizing its structure, function, and connections is called neuroplasticity. Neuroplasticity is involved in post-stroke functional disturbances, but also in rehabilitation. It has been shown that active cortical participation in a closed-loop brain machine interface (BMI) can induce neuroplasticity in cortical networks where the brain acts as a controller, e.g., during a visuomotor task. Here, the motor task can be assisted with neuromuscular electrical stimulation (NMES) where the BMI will act as a real-time decoder. However, the cortical control and induction of neuroplasticity in a closed-loop BMI is also dependent on the state of brain, e.g., visuospatial attention during visuomotor task performance. In fact, spatial neglect is a hidden disability that is a common complication of stroke and is associated with prolonged hospital stays, accidents, falls, safety problems, and chronic functional disability. This hypothesis and theory article presents a multi-level electrotherapy paradigm toward motor rehabilitation in virtual reality that postulates that while the brain acts as a controller in a closed-loop BMI to drive NMES, the state of brain can be can be altered toward improvement of visuomotor task performance with non-invasive brain stimulation (NIBS). This leads to a multi-level electrotherapy paradigm where a virtual reality-based adaptive response technology is proposed for post-stroke balance rehabilitation. In this article, we present a conceptual review of the related experimental findings.

Indexed as

eye trackingneuromuscular electrical stimulationneurorehabilitationnon-invasive brain stimulationstrokevirtual reality

Identifiers

PMID25565937
PMCPMC4266025
OpenAlexW2005054167

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.