Sampaio-Baptista C, Khrapitchev AA, Foxley S, et al. Neural plasticity and neurorehabilitation: teaching the new brain old tricks. Sensorimotor training in virtual reality: a review. Adamovich SV, Fluet GG, Tunik E, Merians AS. Structural and functional bases for individual differences in motor learning. Tomassini V, Jbabdi S, Kincses ZT, et al. Cerebellum predicts the future motor state. Experience-dependent changes in cerebellar contributions to motor sequence learning. Doyon J, Song AW, Karni A, Lalonde F, Adams MM, Ungerleider LG. The design and analysis of clinical experiments. Adaptive linear step-up procedures that control the false discovery rate. Diffusion tensor imaging of white matter tract evolution over the lifespan. Lebel C, Gee M, Camicioli R, Wieler M, Martin W, Beaulieu C.
#Medinria vide software#
Magnetic resonance imaging diffusion tensor tractography: evaluation of anatomic accuracy of different fiber tracking software packages. Clinical DT-MRI estimation, smoothing, and fiber tracking with log-Euclidean metrics. Fillard P, Pennec X, Arsigny V, Ayache N. Presented at: International Medical Image Computing and Computer-assisted Intervention Conference October 29–NovemBrisbane, Australia. Workshop on Interaction in Medical Image Analysis and Visualization. MedINRIA: Medical image navigation and research tool by INRIA. A diffusion tensor imaging tractography atlas for virtual in vivo dissections. The diagnostic accuracy of static posturography in predicting accidental falls in people with multiple sclerosis. Prosperini L, Fortuna D, Giannì C, Leonardi L, Pozzilli C. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Polman CH, Reingold SC, Banwell B, et al. Relating brain damage to brain plasticity in patients with multiple sclerosis. Tomassini V, Johansen-Berg H, Jbabdi S, et al.
#Medinria vide trial#
A functional magnetic resonance proof of concept pilot trial of cognitive rehabilitation in multiple sclerosis. Sastre-Garriga J, Alonso J, Renom M, et al. Multiple sclerosis: effects of cognitive rehabilitation on structural and functional MR imaging measures-an explorative study. Filippi M, Riccitelli G, Mattioli F, et al. Computer-assisted cognitive rehabilitation of attention deficits for multiple sclerosis: a randomized trial with fMRI correlates. Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Ciccarelli O, Catani M, Johansen-Berg H, Clark C, Thompson A. Magnetic resonance techniques in multiple sclerosis: the present and the future. Filippi M, Rocca MA, De Stefano N, et al. Multiple sclerosis: white and gray matter damage associated with balance deficit detected at static posturography. Wii Fit balance board playing improves balance and gait in Parkinson disease. Effectiveness of a Wii balance board-based system (eBaViR) for balance rehabilitation: a pilot randomized clinical trial in patients with acquired brain injury. Gil-Gómez JA, Lloréns R, Alcañiz M, Colomer C.
Home-based balance training programme using Wii Fit with balance board for Parkinsons’s disease: a pilot study. Esculier JF, Vaudrin J, Bériault P, Gagnon K, Tremblay LE. Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Home-based balance training using the Wii balance board: a randomized, crossover pilot study in multiple sclerosis. Prosperini L, Fortuna D, Giannì C, Leonardi L, Marchetti MR, Pozzilli C. Effects of Wii exercises on balance in people with multiple sclerosis. The effect of Nintendo® Wii® on balance in people with multiple sclerosis: a pilot randomized control study. Brichetto G, Spallarossa P, de Carvalho ML, Battaglia MA. Rehabilitation interventions in multiple sclerosis: an overview. Falls in frequent neurological diseases-prevalence, risk factors and aetiology. Stolze H, Klebe S, Zechlin C, Baecker C, Friege L, Deuschl G. Pharmacological management of symptoms in multiple sclerosis: current approaches and future directions.
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