Impact of differences between real and predicted time series on GLM fMRI analysis
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 | |
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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 | |
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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 |
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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) |
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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 | |
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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. |
PrintDisplayed: 5/10/2024 02:01