A force profile analysis comparison between functional data analysis, statistical parametric mapping and statistical non-parametric mapping in on-water single sculling

Statistical Parametric Mapping

1. INTRODUCTION This chapter is about making regionally specific inferences in neuroimaging. These inferences may be about differences expressed when comparing one group of subjects to another or, within subjects, over a sequence of observations. They may pertain to structural differences (e.g. in voxel-based morphometry-Ashburner and Friston 2000) or neurophysiological indices of brain functio...

مقایسه کمی روش های بازسازی در تصویربرداری spect مغز با کمک برنامه statistical parametric mapping

چکیده ندارد.

Parametric and non-parametric statistical analysis of DT-MRI data.

In this work parametric and non-parametric statistical methods are proposed to analyze Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data. A Multivariate Normal Distribution is proposed as a parametric statistical model of diffusion tensor data when magnitude MR images contain no artifacts other than Johnson noise. We test this model using Monte Carlo (MC) simulations of DT-MRI experimen...

A Short History of Statistical Parametric Mapping in Functional Neuroimaging

The history of human brain mapping is actually much shorter than one might have anticipated on entering the field. The first brain activation studies harnessed the ability to take images of brain function, successively within the same scanning session. This was facilitated by the use of short half-life radio tracers using Positron Emission Tomography (PET). These techniques became available in ...

Introduction Experimental design and Statistical Parametric Mapping