On the Danger of Detecting Network States in White Noise

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00224956" target="_blank" >RIV/68407700:21230/15:00224956 - isvavai.cz</a>
Result on the web
<a href="http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00011/full" target="_blank" >http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00011/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fncom.2015.00011" target="_blank" >10.3389/fncom.2015.00011</a>

Result language
angličtina
Original language name
On the Danger of Detecting Network States in White Noise
Original language description
The general idea of nonstationarity of brain activity or dependence of the dynamics on some, potentially unobserved, temporally changing or fluctuating parameter, has been familiar in the neuroscience community in contexts such as sleep dynamics or epileptology for a long time. However, recently it has been attracting increasing attention in the context of functional brain network analysis. This seems as a natural development of the field - once that functional connectivity as computed under the simplifying stationarity assumption has been well established, it is only logical to try to detect changes in brain functional connectivity over time. In general, detecting such nonstationarities in a reliable fashion is a methodologically challenging task, aschanges in estimates of functional connectivity over time may be also due to random fluctuations, rather than genuine changes of the process. There is a wide array of approaches to studying such nonstationarities documented in literature
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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