Citation

Fox PT, Huang AY, Parsons LM, Xiong JH, Rainey L, Lancaster JL. Hum. Brain Mapp. 1999; 8(2-3): 143-150.

Affiliation

Research Imaging Center, University of Texas Health Science Center, San Antonio, Texas 78284-6240, USA.

Copyright

(Copyright © 1999, John Wiley and Sons)

DOI

unavailable

PMID

10524606

Abstract

Functional volumes modeling (FVM) is a statistical construct for metanalytic modeling of the locations of brain functional areas as spatial probability distributions. FV models have a variety of applications, in particular, to serve as spatially explicit predictions of the Talairach-space locations of functional activations, thereby allowing voxel-based analyses to be hypothesis testing rather than hypothesis generating. As image averaging is often applied in the analysis of functional images, an important feature of FVM is that a model can be scaled to accommodate any degree of intersubject image averaging in the data set to which the model is applied. In this report, the group-size scaling properties of FVM were tested. This was done by: (1) scaling a previously constructed FV model of the mouth representation of primary motor cortex (M1-mouth) to accommodate various degrees of averaging (number of subjects per image = n = 1, 2, 5, 10), and (2) comparing FVM-predicted spatial probability contours to location-distributions observed in averaged images of varying n composed from randomly sampling a 30-subject validation data set.

Language: en