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Torben Ellegaard Lund

Mixed-effects and fMRI studies

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Mixed-effects and fMRI studies. / Friston, K J; Stephan, K E; Lund, Torben Ellegaard; Morcom, A; Kiebel, S.

In: NeuroImage, Vol. 24, No. 1, 2005, p. 244-52.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Friston, KJ, Stephan, KE, Lund, TE, Morcom, A & Kiebel, S 2005, 'Mixed-effects and fMRI studies', NeuroImage, vol. 24, no. 1, pp. 244-52. https://doi.org/10.1016/j.neuroimage.2004.08.055

APA

Friston, K. J., Stephan, K. E., Lund, T. E., Morcom, A., & Kiebel, S. (2005). Mixed-effects and fMRI studies. NeuroImage, 24(1), 244-52. https://doi.org/10.1016/j.neuroimage.2004.08.055

CBE

Friston KJ, Stephan KE, Lund TE, Morcom A, Kiebel S. 2005. Mixed-effects and fMRI studies. NeuroImage. 24(1):244-52. https://doi.org/10.1016/j.neuroimage.2004.08.055

MLA

Friston, K J et al. "Mixed-effects and fMRI studies". NeuroImage. 2005, 24(1). 244-52. https://doi.org/10.1016/j.neuroimage.2004.08.055

Vancouver

Friston KJ, Stephan KE, Lund TE, Morcom A, Kiebel S. Mixed-effects and fMRI studies. NeuroImage. 2005;24(1):244-52. https://doi.org/10.1016/j.neuroimage.2004.08.055

Author

Friston, K J ; Stephan, K E ; Lund, Torben Ellegaard ; Morcom, A ; Kiebel, S. / Mixed-effects and fMRI studies. In: NeuroImage. 2005 ; Vol. 24, No. 1. pp. 244-52.

Bibtex

@article{b3289260cc3011dd9710000ea68e967b,
title = "Mixed-effects and fMRI studies",
abstract = "This note concerns mixed-effect (MFX) analyses in multisession functional magnetic resonance imaging (fMRI) studies. It clarifies the relationship between mixed-effect analyses and the two-stage {"}summary statistics{"} procedure (Holmes, A.P., Friston, K.J., 1998. Generalisability, random effects and population inference. NeuroImage 7, S754) that has been adopted widely for analyses of fMRI data at the group level. We describe a simple procedure, based on restricted maximum likelihood (ReML) estimates of covariance components, that enables full mixed-effects analyses in the context of statistical parametric mapping. Using this procedure, we compare the results of a full mixed-effects analysis with those obtained from the simpler two-stage procedure and comment on the situations when the two approaches may give different results.",
author = "Friston, {K J} and Stephan, {K E} and Lund, {Torben Ellegaard} and A Morcom and S Kiebel",
year = "2005",
doi = "10.1016/j.neuroimage.2004.08.055",
language = "English",
volume = "24",
pages = "244--52",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Mixed-effects and fMRI studies

AU - Friston, K J

AU - Stephan, K E

AU - Lund, Torben Ellegaard

AU - Morcom, A

AU - Kiebel, S

PY - 2005

Y1 - 2005

N2 - This note concerns mixed-effect (MFX) analyses in multisession functional magnetic resonance imaging (fMRI) studies. It clarifies the relationship between mixed-effect analyses and the two-stage "summary statistics" procedure (Holmes, A.P., Friston, K.J., 1998. Generalisability, random effects and population inference. NeuroImage 7, S754) that has been adopted widely for analyses of fMRI data at the group level. We describe a simple procedure, based on restricted maximum likelihood (ReML) estimates of covariance components, that enables full mixed-effects analyses in the context of statistical parametric mapping. Using this procedure, we compare the results of a full mixed-effects analysis with those obtained from the simpler two-stage procedure and comment on the situations when the two approaches may give different results.

AB - This note concerns mixed-effect (MFX) analyses in multisession functional magnetic resonance imaging (fMRI) studies. It clarifies the relationship between mixed-effect analyses and the two-stage "summary statistics" procedure (Holmes, A.P., Friston, K.J., 1998. Generalisability, random effects and population inference. NeuroImage 7, S754) that has been adopted widely for analyses of fMRI data at the group level. We describe a simple procedure, based on restricted maximum likelihood (ReML) estimates of covariance components, that enables full mixed-effects analyses in the context of statistical parametric mapping. Using this procedure, we compare the results of a full mixed-effects analysis with those obtained from the simpler two-stage procedure and comment on the situations when the two approaches may give different results.

U2 - 10.1016/j.neuroimage.2004.08.055

DO - 10.1016/j.neuroimage.2004.08.055

M3 - Journal article

C2 - 15588616

VL - 24

SP - 244

EP - 252

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 1

ER -