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CoBeN SIGNED

Novel Network-Based Approaches for Studying Cognitive Dysfunction in Behavioral Neurology

Total Cost €

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EC-Contrib. €

0

Partnership

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 CoBeN project word cloud

Explore the words cloud of the CoBeN project. It provides you a very rough idea of what is the project "CoBeN" about.

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Project "CoBeN" data sheet

The following table provides information about the project.

Coordinator
Masarykova univerzita 

Organization address
address: Zerotinovo namesti 9
city: BRNO STRED
postcode: 60177
website: http://www.muni.cz

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Czech Republic [CZ]
 Total cost 324˙000 €
 EC max contribution 306˙000 € (94%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2016
 Funding Scheme MSCA-RISE
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Masarykova univerzita CZ (BRNO STRED) coordinator 216˙000.00
2    SZEGEDI TUDOMANYEGYETEM HU (SZEGED) participant 90˙000.00
3    Arizona Board of Regents US (TEMPE) partner 0.00

Map

 Project objective

Behavioral neurology is a scientific discipline that seeks to identify the neurobiological basis of cognitive impairment associated with different types of brain disorders. Recent advances in structural/functional neuroimaging have provided powerful new tools for studying the neural networks that support normal cognition and improve our understanding of the pathophysiological mechanisms that contribute to network disruption in patients with specific neuropsychological deficits. In addition, non-invasive brain stimulation (NIBS) techniques offer exciting new opportunities to modulate neural network function and brain plasticity to obtain long-lasting therapeutic benefits. Although these novel neuroscience methods have tremendous potential, no single academic institution has all the expertise and resources needed to conduct the type of multi-disciplinary research effort that is expected to produce the best scientific results. The central aim of our project is to facilitate collaborative research by establishing an international scientific consortium to study universal, language-specific, and disease-specific neural network architectures underlying reading/spelling, motor speech/handwriting control, and visual processing. The proposed studies will introduce novel behavioral paradigms to assess cognition, use state-of-the-art imaging techniques to identify changes in neural network dynamics responsible for cognitive impairment in patients with stroke or neurodegenerative disease, and explore the therapeutic potential of NIBS. The international collaboration envisioned between participating institutions in the Czech Republic, Hungary, and the United States builds on the complementary expertise of researchers, promotes the transfer of knowledge and innovation, provides the necessary infrastructure and organizational framework to develop the careers of the staff members involved, and establishes a new model for training future generations of behavioral neurologists.

 Deliverables

List of deliverables.
MRI data acquisition for tasks 3, 4 Documents, reports 2020-04-03 13:50:16
Novel parametrization software for acoustic analysis Other 2020-02-20 17:59:43
Specific behavioural and task-induced fMRI protocols for language and acoustic assessment Documents, reports 2020-02-20 18:00:29
Neural substrates of speech prosody impairment in patients with different neurological diseases across three different languages Documents, reports 2020-02-20 18:00:20
Standardized protocol for language and acoustic assessment and analysis Documents, reports 2019-08-30 13:21:21
Standardized protocol for cognitive assessment and composite domain z-score calculation Documents, reports 2019-08-30 13:21:22
Kinematic abnormalities produced by damage to the cortical vs. subcortical components of the handwriting motor control network Documents, reports 2019-08-30 13:21:22
Progress report 1 Documents, reports 2019-08-30 13:21:21
Pilot data for kinematic assessment and analysis released Documents, reports 2019-08-30 13:21:21
Pilot MRI data Documents, reports 2019-08-30 13:21:21
Pilot fMRI data for language and acoustic assessment Documents, reports 2019-08-30 13:21:21
Project website Websites, patent fillings, videos etc. 2019-08-30 13:21:21

Take a look to the deliverables list in detail:  detailed list of CoBeN deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Jan Mucha, Jiri Mekyska, Zoltan Galaz, Marcos Faundez-Zanuy, Karmele Lopez-de-Ipina, Vojtech Zvoncak, Tomas Kiska, Zdenek Smekal, Lubos Brabenec, Irena Rektorova
Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting
published pages: 2566, ISSN: 2076-3417, DOI: 10.3390/app8122566
Applied Sciences 8/12 2019-08-30
2018 Lubos Brabenec, Patricia Klobusiakova, Marek Barton, Jiri Mekyska, Zoltan Galaz, Vojtech Zvoncak, Tomas Kiska, Jan Mucha, Zdenek Smekal, Milena Kostalova, Irena Rektorova
Non-invasive stimulation of the auditory feedback area for improved articulation in Parkinson\'s disease
published pages: , ISSN: 1353-8020, DOI: 10.1016/j.parkreldis.2018.10.011
Parkinsonism & Related Disorders 2019-08-30
2017 Nela Nemcova Elfmarkova, Martin Gajdos, Irena Rektorova, Radek Marecek, Steven Z. Rapcsak
Neural evidence for defective top-down control of visual processing in Parkinson\'s and Alzheimer\'s disease
published pages: 236-244, ISSN: 0028-3932, DOI: 10.1016/j.neuropsychologia.2017.09.034
Neuropsychologia 106 2019-08-30

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The information about "COBEN" are provided by the European Opendata Portal: CORDIS opendata.

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