Neurobehavioural evaluation of rehabilitation programs for dangerous drivers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F18%3A00100858" target="_blank" >RIV/00216224:14740/18:00100858 - isvavai.cz</a>
Alternative codes found
RIV/44994575:_____/17:N0000072
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-60441-1_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-60441-1_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-60441-1_27" target="_blank" >10.1007/978-3-319-60441-1_27</a>
Alternative languages
Result language
angličtina
Original language name
Neurobehavioural evaluation of rehabilitation programs for dangerous drivers
Original language description
Study aim to advance understanding of empathy in different driver samples, and to identify ways of modifying such social behaviour in dangerous drivers. This is achieved by evaluating empathy – related driver – rehabilitation programs with a novel neurobehavioral technique. Statistics show that almost 85% of road – traffic accidents in the Czech Republic are caused by the drivers themselves, and approximately 63% of these accidents are due to dangerous driving behaviour (e. g. Speeding, aggressive driving). Developing an effective rehabilitation requires an objective method of evaluation. Our rehabilitation program for dangerous drivers consists of empathy induction. Many studies have revealed associations between reduced empathic awareness and various forms of antisocial behavior. Further research also shows that empathic skills can be enhanced during group therapy. Empathy and anti – social behaviour are associated with specific patterns of brain function and structure. Present study focuses on way, how to evaluate the drivers ‘rehabilitation program. We used for this evaluation MRI data combining functional (e.g. partial least squares) and effective connectivity analyses (e.g. dynamic causal modelling) with measures of structural covariance. Combining these multidimensional network level analyses of neuroimaging data with measures of trait empathy and behavioral performance on socio – emotional tasks allow us better comprehensive into brain relationships. © Springer International Publishing AG 2018.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
9783319604404
ISSN
2194-5357
e-ISSN
—
Number of pages
7
Pages from-to
275-281
Publisher name
Springer Verlag
Place of publication
Los Angeles
Event location
Los Angeles
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000448241200027