# name
Relationship between intensity and recovery in post-stroke rehabilitation: a retrospective analysis.

# metadata.dc.description.abstract[].value
Work in animal models suggests high-intensity rehabilitation-based training that starts soon after stroke is the most effective approach to promote recovery.1 In humans, the interaction between treatment onset and intensity remains unclear.2 It has been suggested that reducing daily treatment duration below 3 hours at the acute and subacute stages leads to a poorer prognosis,3 while there may also be an upper bound beyond which high-intensity motor rehabilitation at the acute stage might lead to unwanted side effects.4 Designing optimal rehabilitation treatment programmes for stroke patients will not be possible until we understand ‘how much’, ‘when’ and ‘what’ treatment should be delivered.2 In this retrospective analysis, we assessed patients’ responsiveness to high-intensity and low-intensity rehabilitation protocols across different stages of chronicity post-stroke to address the ‘how much’ and ‘when’ questions.

# metadata.dc.description.sponsorship[].value
This study was supported by the cRGS project under the grant agreement H2020-EU, ID: 840052, and by the RGS@home project from H2020-EU, EIT Health, ID: 19 277.

# metadata.dc.identifier.citation[].value
Ballester BR, Ward NS, Brander F, et al. Relationship between intensity and recovery in post-stroke rehabilitation: a retrospective analysis. Journal of Neurology, Neurosurgery & Psychiatry. Published Online First: 24 June 2021

# metadata.dc.publisher[].value
Journal of neurology, neurosurgery, and psychiatry

# metadata.dc.relation.ispartof[].value
Journal of Neurology, Neurosurgery and Psychiatry, 2021, vol. June

# metadata.dc.rights[].value
cc by-nc-nd (c) Rubio Ballester, Belén et al, 2021

# metadata.dc.source[].value
Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))

# metadata.dc.title[].value
Relationship between intensity and recovery in post-stroke rehabilitation: a retrospective analysis.