Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical process used to test hypotheses
about neuroimaging data from fMRI. It provides tools for data normalization and model estimation at each voxel using the General Linear
Model. The expressed hypotheses are assessed using univariate statistics. SPM was developed by members and collaborators of the
Wellcome Department of Cognitive Neurology.

The SPM software is a suite of matlab functions implementing Statistical Parametric Mapping.

SPM 99 - main distribution homepage
SPM 2 - main distribution homepage
SPM 5 - main distribution homepage


FreeSurfer (CorTechs Labs, Inc., Charlestown, MA) is a set of semi-automated tools for reconstruction of the brain's cortical surface and
overlay of function data onto the reconstructed surface (see also NeuroLens). Information on how to obtain a license and download the
software is available at http://surfer.nmr.mgh.harvard.edu/.


NeuroLens (written by Dr. Rick Hoge) is an integrated environment for the analysis and visualization of functional neuroimages. It is
intended to provide extremely fast and flexible image processing, via an intuitive user interface that encourages experimentation with
analysis parameters and detailed inspection of both raw image data and processing results using a consistent visualization environment.
NeuroLens runs on Apple computers based on the G4/G5 and Intel chipsets and running Mac OS X 10.3 (Panther) or later. It is available
free for academic and non-profit research use. More information can be obtained at http://www.neurolens.org/

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