Characterizing the response of PET and fMRI data using multivariate linear models

被引:207
作者
Worsley, KJ
Poline, JB
Friston, KJ
Evans, AC
机构
[1] McGill Univ, Dept Math & Stat, Montreal, PQ H3A 2K6, Canada
[2] Wellcome Dept Cognit Neurol, London WC1N 3BG, England
[3] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada
基金
英国惠康基金;
关键词
D O I
10.1006/nimg.1997.0294
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This paper presents a new method for characterizing brain responses in both PET and fMRI data. The aim is to capture the correlations between the scans of an experiment and a set of external predictor variables that are thought to affect the scans, such as type, intensity, or shape of stimulus response. Its main feature is a Canonical Variates Analysis (CVA) of the estimated effects of the predictors from a multivariate linear model (MLM). The advantage of this over current methods is that temporal correlations can be incorporated into the model, making the MLM method suitable for fMRI as well as PET data. Moreover, tests for the presence of any correlation, and inference about the number of canonical variates needed to capture that correlation, can be based on standard multivariate statistics, rather than simulations. When applied to an fMRI data set previously analyzed by another CVA method, the MLM method reveals a pattern of responses that is closer to that detected in an earlier non-CVA analysis. (C) 1997 Academic Press.
引用
收藏
页码:305 / 319
页数:15
相关论文
共 18 条
[1]  
Anderson T., 1984, INTRO MULTIVARIATE S
[2]   Nonlinear regression in parametric activation studies [J].
Buchel, C ;
Wise, RJS ;
Mummery, CJ ;
Poline, JB ;
Friston, KJ .
NEUROIMAGE, 1996, 4 (01) :60-66
[3]   Functional magnetic resonance image analysis of a large-scale neurocognitive network [J].
Bullmore, ET ;
RabeHesketh, S ;
Morris, RG ;
Williams, SCR ;
Gregory, L ;
Gray, JA ;
Brammer, MJ .
NEUROIMAGE, 1996, 4 (01) :16-33
[4]   Is multivariate analysis of PET data more revealing than the univariate approach? Evidence from a study of episodic memory retrieval [J].
Fletcher, PC ;
Dolan, RJ ;
Shallice, T ;
Frith, CD ;
Frackowiak, RSJ ;
Friston, KJ .
NEUROIMAGE, 1996, 3 (03) :209-215
[5]   COMPARING FUNCTIONAL (PET) IMAGES - THE ASSESSMENT OF SIGNIFICANT CHANGE [J].
FRISTON, KJ ;
FRITH, CD ;
LIDDLE, PF ;
FRACKOWIAK, RSJ .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 1991, 11 (04) :690-699
[6]   CHARACTERIZING EVOKED HEMODYNAMICS WITH FMRI [J].
FRISTON, KJ ;
FRITH, CD ;
TURNER, R ;
FRACKOWIAK, RSJ .
NEUROIMAGE, 1995, 2 (02) :157-165
[7]   ANALYSIS OF FMRI TIME-SERIES REVISITED [J].
FRISTON, KJ ;
HOLMES, AP ;
POLINE, JB ;
GRASBY, PJ ;
WILLIAMS, SCR ;
FRACKOWIAK, RSJ ;
TURNER, R .
NEUROIMAGE, 1995, 2 (01) :45-53
[8]   FUNCTIONAL CONNECTIVITY - THE PRINCIPAL-COMPONENT ANALYSIS OF LARGE (PET) DATA SETS [J].
FRISTON, KJ ;
FRITH, CD ;
LIDDLE, PF ;
FRACKOWIAK, RSJ .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 1993, 13 (01) :5-14
[9]   CHARACTERIZING DYNAMIC BRAIN RESPONSES WITH FMRI - A MULTIVARIATE APPROACH [J].
FRISTON, KJ ;
FRITH, CD ;
FRACKOWIAK, RSJ ;
TURNER, R .
NEUROIMAGE, 1995, 2 (02) :166-172
[10]  
Friston KJ, 1996, HUM BRAIN MAPP, V4, P140, DOI 10.1002/(SICI)1097-0193(1996)4:2<140::AID-HBM5>3.0.CO