Analysis of fMRI time-series by entropy measures

Result code in 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>
Alternative codes found
RIV/00216208:11120/12:43906784
Result on the web
<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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Result language
angličtina
Original language name
Analysis of fMRI time-series by entropy measures
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
ED - Physiology
OECD FORD branch
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Project
<a href="/en/project/GBP304%2F12%2FG069" target="_blank" >GBP304/12/G069: Project of excellence in the field of neuroscience</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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