Statistical Parametric Mapping

By Geraint E. Rees. Practical Neurology, 2004

761 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2d635c163806f9e031797308d6f0b0a2e2353c5f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

Citations in the corpus

Brain correlates of aesthetic judgment of beauty (2006, methodology): “The statistical evaluation was based on a least squares estimation using the general linear model (GLM) for serially autocorrelated observations (random effects model; Friston, 1994; Friston et al., 1995a,b; Worsley and Friston, 1995).”
Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review (2011, background): “…mass univariate analyses exist beyond those reviewed herein; among these are local false discovery rate control (Efron, 2004; LageCastellanos et al., 2010), random field theory (Kiebel & Friston, 2004), and false discovery exceedance control (for review, see Farcomeni, 2008; Romano et al., 2008).”
Quantifying the uncertainty in change points (2012, methodology): “The analysis then proceeds using various combinations of polynomial detrending (Worsley et al., 2002) and discrete cosine basis detrending (Ashburner et al., 1999), along with an AR(1) error model.”
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data (2011, methodology): “and implemented in all of the major neuroimaging software packages (e.g., FSL [15], SPM [16], AFNI [17], etc.) to ensure that data from individual subjects are spatially normalized from a subject ’ s “ native ” brain space to a “ standard ” brain space.”
Dynamic causal modelling: A critical review of the biophysical and statistical foundations (2011, background): “This is referred to as the “Laplace approximation” (see Friston et al. 2007b for full details) and the moments are called sufficient statistics , since they completely parameterize the approximate density.”
Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise (2017, methodology): “Here, preprocessing and initial statistical modeling were performed using the Statistical Parametric Mapping 8 software [80] in Matlab.”
Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models (2012, methodology): “Firstly, the relevant statitical tools are not readily available in user-friendly neuroimage analysis software environme ts (such as SPM (Friston, 2007; SPM), FSL (Smith et al., 2004), or FreeSurfer (Fischl, 2012)).”