EMLNPRGT

Enhancing motor learning and neural plasticity in robotic gait training

Coordinatore	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH    more  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Robert Cognome: Riener Email: send email Telefono: +41 44 632 66 79 Fax: +41 44 632 18 76
Nazionalità Coordinatore	Switzerland [CH]
Totale costo	187˙028 €
EC contributo	187˙028 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-IIF
Funding Scheme	MC-IIF
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-01-01   -   2015-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Robert Cognome: Riener Email: send email Telefono: +41 44 632 66 79 Fax: +41 44 632 18 76	CH (ZUERICH)	coordinator	187˙028.80

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 Obiettivo del progetto (Objective)

'Robotic haptic guidance is a motor-training strategy in which a machine physically interacts with the participant’s limbs during movement training. This strategy is commonly used to reduce performance errors while training dangerous tasks as relearning to walk after a neurologic injury. There is currently little evidence that robotic guidance is beneficial for human motor learning. In fact, a long-standing hypothesis states that physically guiding a movement impairs motor learning. However, recent studies have suggested that haptic guidance seems to be particularly helpful in less skilled participants, in the demonstration of optimal timing rather than movement magnitude. We propose a 2-year project that aims to identify which form of guidance -and for which patients' specific motor deficits -will optimize motor learning using the gait robotic rehabilitator Lokomat. We will identify the effect of different forms of guidance and resistance training on motor recovery of a timing task as walking. We will engineer a technique to quantify the individual disability level in order to provide each individual with the amount of guidance that would optimize learning, enhancing the beneficial use of the Lokomat robot for training less disable patients by means of more sophisticate control strategies, such as error amplification. The goal of robotic therapy is the development of robotic devices to perform exercises which provoke motor plasticity. However, it is still an open question how different rehabilitation strategies contribute to brain restorative processes. The results from studying the particular brain regions involved in learning might help tailoring motor training conditions to the anatomical location of a focal brain insult. To achieve this goal, we will evaluate the brain regions involved in learning when training with different forms of guidance, performing functional Magnetic Resonance Imaging (fMRI) while training with an fMRI compatible walking robotic device.'