2000
DOI: 10.1002/(sici)1522-2586(200001)11:1<61::aid-jmri9>3.0.co;2-c
|View full text |Cite
|
Sign up to set email alerts
|

Statistical analysis of multi-subject fMRI data: Assessment of focal activations

Abstract: A simple procedure for analyzing multi‐subject functional magnetic resonance imaging (fMRI) data is proposed. In the first step, a voxel‐wise t‐test across standardized z‐maps is performed to identify areas that are consistently activated across subjects. In the second step, for each area, individual mean z‐scores are calculated and subsequently subjected to an analysis of variance. An example is provided. J. Magn. Reson. Imaging 2000;11:61–64. © 2000 Wiley‐Liss, Inc.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
82
0

Year Published

2000
2000
2004
2004

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 113 publications
(82 citation statements)
references
References 3 publications
0
82
0
Order By: Relevance
“…The statistical analysis was based on a least squares estimation using the general linear model (GLM) for serially autocorrelated observations Bosch, 2000;Friston, 1994;Zarahn et al, 1997]. For each individual subject, statistical parametric maps (SPM) were generated with the standard hemodynamic response function and a response delay of 6 sec.…”
Section: Discussionmentioning
confidence: 99%
See 4 more Smart Citations
“…The statistical analysis was based on a least squares estimation using the general linear model (GLM) for serially autocorrelated observations Bosch, 2000;Friston, 1994;Zarahn et al, 1997]. For each individual subject, statistical parametric maps (SPM) were generated with the standard hemodynamic response function and a response delay of 6 sec.…”
Section: Discussionmentioning
confidence: 99%
“…As the individual functional datasets were all aligned to the same stereotactic reference space a group analysis of fMRI-data was performed by averaging individual Z-maps. The average SPM was multiplied by a SPM correction factor of the square root of the current number of subjects (n ϭ 14) [Bosch, 2000]. For the purpose of illustration, averaged data were superimposed onto one normalized 3D MDEFT standard volume.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations