MIKL, Michal, Radek MAREČEK, Petr HLUŠTÍK and Milan BRÁZDIL. Impact of differences between real and predicted time series on GLM fMRI analysis. In Human Brain Mapping. 2006. ISSN 1053-8119.
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Basic information
Original name Impact of differences between real and predicted time series on GLM fMRI analysis
Name in Czech Vliv rozdílů mezi skutečnými a predikovanými časovými sériemi na GLM fMRI analýzu
Authors MIKL, Michal (203 Czech Republic), Radek MAREČEK (203 Czech Republic), Petr HLUŠTÍK (203 Czech Republic) and Milan BRÁZDIL (203 Czech Republic, guarantor).
Edition Human Brain Mapping, 2006.
Other information
Original language English
Type of outcome Conference abstract
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 5.559
RIV identification code RIV/00216224:14110/06:00017067
Organization unit Faculty of Medicine
ISSN 1053-8119
Keywords in English fMRI; GLM; differences; time-series
Tags Differences, fMRI, GLM, time-series
Tags International impact
Changed by Changed by: Ing. Michal Mikl, Ph.D., učo 133966. Changed: 25/3/2010 09:26.
Abstract
In functional magnetic resonance imaging (fMRI) detection of activation is often realized using massively univariate statistical methods. The measured signal is modeled using convolution of stimulus time-course and hemodynamic response function (HRF). For accurate fitting the data to the model it is necessary to know both HRF and stimulus time-course. The aim of this work is to find how much the results are depended on inaccurate knowledge of stimulus time-course.
Abstract (in Czech)
Ve funkční magnetické rezonanci je detekce aktivace často realizována použitím masivních jednorozměrných statistických metod. Měřený signál je modelován jako konvoluce časového průběhu stimulace a hemodynamické odezvy. Pro dobré sesouhlasení dat s modelem je třeba znát jak průběh hemodynamické odezvy, tak časový průběh stimulace. Cílem této práce je zjištění jak nepřesnost znalosti stimulace ovlivní výsledky analýzy.
Links
MSM0021622404, plan (intention)Name: Vnitřní organizace a neurobiologické mechanismy funkčních systémů CNS
Investor: Ministry of Education, Youth and Sports of the CR, The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.
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