SDM   Signed Differential Mapping
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SDM reference manual

Introduction

This manual focuses on the software developed for the Signed Differential Mapping (SDM) method, an improved meta-analytic approach for voxel-based neuroimaging studies. Please find more information on the methods in the following four articles:

  • "Voxel-wise meta-analysis of grey matter changes..." at the British Journal of Psychiatry link ,
  • "Meta-analytical comparison of voxel-based..." at the Archives of General Psychiatry link
  • "A new meta-analytic method for neuroimaging studies ..." at European Psychiatry link , and
  • "Voxel-based meta-analysis of regional white-matter ..." at Psychological Medicine link
NOTE: It is advisable to first follow the step by step Tutorial to achieve an overall idea of the process!

Index

Help Introduction Summary of the method and its main features.
 
Help Changes in v2.14 Changes in the behaviour of SDM software in v2.14 as compared to previous versions.
 
Help Preparation Retrieved neuroimaging data must be included in a folder (see Preparing the folder), and information on samples, groups or variables must be introduced in the SDM table (see Creation of the SDM table). The last step of the preparation is the preprocessing of the studies and their Monte Carlo randomizations (see Preprocessing).
 
Help Globals analysis You can conduct a (rather simple) meta-analysis of the global variables, e.g. the global gray matter in a meta-analysis of VBM studies, optionally adjusting for groups or covariates.
 
Help Calculations It is possible to calculate meta-analytic means (see Mean analyses), quartiles (see Descriptive analysis of quartiles), jackknife sensitivity analysis (see Jackknife sensitivity analysis), comparisons between groups including covariates (see Linear model analyses: comparing groups) and meta-regressions (see Linear model analyses: meta-regression).
 
Help Results Results from previous calculations can be thresholded obtaining meta-analytic peak coordinates, clusters breakdowns and NIfTI (Analyze-compatible) images (see Thresholding the results) which will be authomatically open in an MRIcron template (see Settings). Results can also be extracted extracted from a Talairach label or coordinate (see Extracting masked values) using a mask (see Creation of a mask).
 
Help Batch processing At the moment only one parameter must be specified to run SDM, the brain viewer, useful for authomatically seeing the results with MRIcron after thresholding.
 
Help Settings At the moment only one parameter must be specified to run SDM, the brain viewer, useful for authomatically seeing the results with MRIcron after thresholding.
 
Help Running SDM as
SPM extension		 SDM can also be run as an SPM (Statistical Parametric Mapping) extension.
 
Help How to cite We have invested a lot of time and effort in creating SDM, please cite it when using it for a meta-analysis.
 
Help Troubleshooting Reported problems and solutions in SDM software.
 


The authors | IoP King's College London | NeuroImageN