Neurobehavioural evaluation of rehabilitation programs for dangerous drivers

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/44994575:_____/17:N0000072

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Neurobehavioural evaluation of rehabilitation programs for dangerous drivers

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Neurobehavioural evaluation of rehabilitation programs for dangerous drivers

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

9783319604404

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

7

Strana od-do

275-281

Název nakladatele

Springer Verlag

Místo vydání

Los Angeles

Místo konání akce

Los Angeles

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000448241200027