Analysis of fMRI time-series by entropy measures

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F12%3A00056073" target="_blank" >RIV/00023001:_____/12:00056073 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11120/12:43906784
Výsledek na webu
<a href="http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W2O8I9LLEp97MjlN2pm&page=1&doc=1" target="_blank" >http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W2O8I9LLEp97MjlN2pm&page=1&doc=1</a>
DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of fMRI time-series by entropy measures
Popis výsledku v původním jazyce
Entropy is a measure of information content or complexity. Information-theoretic modeling has been successfully used in various biological data analyses including functional magnetic resonance (fMRI). Several studies have tested and evaluated entropy measures on simulated datasets and real fMRI data. The efficiency of entropy algorithms has been compared to classical methods based on the linear model. Here we explain and summarize entropy algorithms that have been used in fMRI analysis, their advantagesover classical methods and their potential use in event-related and block design fMRI.
Název v anglickém jazyce
Analysis of fMRI time-series by entropy measures
Popis výsledku anglicky
Entropy is a measure of information content or complexity. Information-theoretic modeling has been successfully used in various biological data analyses including functional magnetic resonance (fMRI). Several studies have tested and evaluated entropy measures on simulated datasets and real fMRI data. The efficiency of entropy algorithms has been compared to classical methods based on the linear model. Here we explain and summarize entropy algorithms that have been used in fMRI analysis, their advantagesover classical methods and their potential use in event-related and block design fMRI.

Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
ED - Fyziologie
OECD FORD obor
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Projekt
<a href="/cs/project/GBP304%2F12%2FG069" target="_blank" >GBP304/12/G069: Projekt excelence v oblasti neurověd</a><br>
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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