| Tartalom: |
http://real.mtak.hu/39784/ |
| Archívum: |
MTA Könyvtár |
| Gyűjtemény: |
Status = Published
Type = Conference or Workshop Item
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| Cím: |
A model for classification based on the functional connectivity pattern dynamics of the brain
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| Létrehozó: |
Meszlényi, Regina
Peska, Ladislav
Gál, Viktor
Vidnyánszky, Zoltán
Buza, Krisztián Antal
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| Dátum: |
2016
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| Téma: |
QA75 Electronic computers. Computer science / számĂtástechnika, számĂtĂłgĂ©ptudomány
R1 Medicine (General) / orvostudomány általában
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| Tartalmi leírás: |
—Synchronized spontaneous low frequency fluctuations of the so called BOLD signal, as measured by functional Magnetic Resonance Imaging (fMRI), are known to represent the functional connections of different brain areas. Dynamic Time Warping (DTW) distance can be used as a similarity measure between BOLD signals of brain regions as an alternative of the traditionally used correlation coefficient and the usage of the DTW algorithm has further advantages: beside the DTW distance, the algorithm generates the warping path, i.e. the time-delay function between the compared two time-series. In this paper, we propose to use the relative length of the warping path as classification feature and demonstrate that the warping path itself carries important information when classifying patients according to cannabis addiction. We discuss biomedical relevance of our findings as well.
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| Nyelv: |
magyar
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| Típus: |
Conference or Workshop Item
PeerReviewed
info:eu-repo/semantics/conferenceObject
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| Formátum: |
text
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| Azonosító: |
Meszlényi, Regina and Peska, Ladislav and Gál, Viktor and Vidnyánszky, Zoltán and Buza, Krisztián Antal (2016) A model for classification based on the functional connectivity pattern dynamics of the brain. In: The Third European Network Intelligence Conference.
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| Kapcsolat: |
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