On clustering fMRI time series

Publication: Research - peer-reviewJournal 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-reviewJournal article – Annual report year: 1999

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Author

Goutte, Cyril; Toft, Peter Aundal; Rostrup, E.; Nielsen, Finn Årup; Hansen, Lars Kai / On clustering fMRI time series.

In: NeuroImage, Vol. 9, No. 3, 1999, p. 298-310.

Publication: Research - peer-reviewJournal article – Annual report year: 1999

Bibtex

@article{b7b4077a893f41619e3ac8698424fa56,
title = "On clustering fMRI time series",
publisher = "Academic Press",
author = "Cyril Goutte and Toft, {Peter Aundal} and E. Rostrup and Nielsen, {Finn Årup} and Hansen, {Lars Kai}",
year = "1999",
doi = "10.1006/nimg.1998.0391",
volume = "9",
number = "3",
pages = "298--310",
journal = "NeuroImage",
issn = "1053-8119",

}

RIS

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 -