On clustering fMRI time series
Publication: Research - peer-review › Journal article – Annual report year: 1999
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On clustering fMRI time series. / Goutte, Cyril; Toft, Peter Aundal; Rostrup, E.; Nielsen, Finn Årup; Hansen, Lars Kai.
In: NeuroImage, Vol. 9, No. 3, 1999, p. 298-310.Publication: Research - peer-review › Journal article – Annual report year: 1999
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TY - JOUR
T1 - On clustering fMRI time series
A1 - Goutte,Cyril
A1 - Toft,Peter Aundal
A1 - Rostrup,E.
A1 - Nielsen,Finn Årup
A1 - Hansen,Lars Kai
AU - Goutte,Cyril
AU - Toft,Peter Aundal
AU - Rostrup,E.
AU - Nielsen,Finn Årup
AU - Hansen,Lars Kai
PB - Academic Press
PY - 1999
Y1 - 1999
N2 - Analysis of fMRI time series is often performed by extracting one or more parameters for the individual voxels. Methods based, e.g., on various statistical tests are then used to yield parameters corresponding to probability of activation or activation strength. However, these methods do not indicate whether sets of voxels are activated in a similar way or in different ways. Typically, delays between two activated signals are not identified. In this article, we use clustering methods to detect similarities in activation between voxels. We employ a novel metric that measures the similarity between the activation stimulus and the fMRI signal. We present two different clustering algorithms and use them to identify regions of similar activations in an fMRI experiment involving a visual stimulus.
AB - Analysis of fMRI time series is often performed by extracting one or more parameters for the individual voxels. Methods based, e.g., on various statistical tests are then used to yield parameters corresponding to probability of activation or activation strength. However, these methods do not indicate whether sets of voxels are activated in a similar way or in different ways. Typically, delays between two activated signals are not identified. In this article, we use clustering methods to detect similarities in activation between voxels. We employ a novel metric that measures the similarity between the activation stimulus and the fMRI signal. We present two different clustering algorithms and use them to identify regions of similar activations in an fMRI experiment involving a visual stimulus.
U2 - 10.1006/nimg.1998.0391
DO - 10.1006/nimg.1998.0391
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
IS - 3
VL - 9
SP - 298
EP - 310
ER -