SDM   Seed-based d Mapping
formerly "Signed Differential Mapping"
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SDM software

Index

Download here the software for the Seed-based d Mapping (formerly Signed Differential Mapping; SDM) method.

Linux   SDM for Linux SDM software for Linux users.
(all software is safe, easy to install and free)
 
Windows   SDM for Windows SDM software for Windows users.
(all software is safe, easy to install and free)
 
Mac OSX   SDM for Mac OSX SDM software for Mac OSX users.
(all software is safe, easy to install and free)
 
SPM   SDM for SPM SDM software for SPM (Statistical Parametric Mapping) link users.
(all software is safe, easy to install and free)
 
SDM   Screenshot Screenshot of the graphical interface.

References

For more information on the method, please read:

Introduction to voxel-based meta-analyses:

  1. Radua J and Mataix-Cols D. Meta-analytic methods for neuroimaging data explained. Biol Mood Anxiety Disord 2012; 2:6. link
  2. Müller VI et al. Ten simple rules for neuroimaging meta-analysis. Neurosci Biobehav Rev 2018; 84:151-161. link

SDM methods:

  1. First method (SDM): Radua J and Mataix-Cols D. Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. Br J Psychiatry 2009; 195:393-402. link
  2. Meta-comparisons: Radua J, van den Heuvel OA, Surguladze S and Mataix-Cols D. Meta-analytical comparison of voxel-based morphometry studies in obsessive compulsive disorder vs other anxiety disorders. Arch Gen Psychiatry 2010; 67:701-711. link
  3. Effect sizes (ES-SDM): Radua J, Mataix-Cols D, Phillips ML, El-Hage W, Kronhaus DM, Cardoner N and Surguladze S. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Eur Psychiatry 2012; 27:605–611. link
  4. Anisotropic kernels (AES-SDM): Radua J, Rubia K, Canales-Rodriguez EJ, Pomarol-Clotet E, Fusar-Poli P and Mataix-Cols D. Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies. Front Psychiatry 2014; 5:13. link
  5. [issues of previous methods] Test for spatial convergence: Albajes-Eizagirre A and Radua J. What do results from coordinate-based meta-analyses tell us? Neuroimage 2018; 176:550-553. link
  6. [main paper of the current method] Permutation of subject images (SDM-PSI): Albajes-Eizagirre A, Solanes A, Vieta E and Radua J. Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM. Neuroimage 2019; 186:174-184. link

SDM specific white matter, TBSS and FreeSurfer templates:

  1. White matter: Radua J, Via E, Catani M and Mataix-Cols D. Voxel-based meta-analysis of regional white-matter volume differences in autism spectrum disorder versus healthy controls. Psychol Med 2011; 41:1539-1550. link
  2. Fractional anistropy (TBSS): Peters BD, Szeszko PR, Radua J, Ikuta T, Gruner P, DeRosse P, Zhang JP, Giorgio A, Qiu D, Tapert SF, Brauer J, Asato MR, Khong PL, James AC, Gallego JA and Malhotra AK. White matter development in adolescence: diffusion tensor imaging and meta-analytic results. Schizophrenia Bull 2012; 38:1308-1317. link
  3. Cortical thickness (FreeSurfer): Li Q, Zhao Y, Chen Z, Long J, Dai J, Huang X, Lui S, Radua J, Vieta E, Kemp GJ, Sweeney JA, Li F and Gong Q. Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology 2019; in Press. link

Improved atlas:

  1. Radua J, Grau M, van den Heuvel OA, de Schotten MT, Stein DJ, Canales-Rodriguez EJ, Catani M and Mataix-Cols D. Multimodal voxel-based meta-analysis of white matter abnormalities in obsessive-compulsive disorder. Neuropsychopharmacology 2014; 39:1547-57. link
  2. Thiebaut de Schotten M, Dell'Acqua F, Forkel SJ, Simmons A, Vergani F, Murphy DG and Catani M. A lateralized brain network for visuospatial attention. Nat Neurosci 2011; 14:1245-1246. link
  3. Thiebaut de Schotten M, Ffytche DH, Bizzi A, Dell'Acqua F, Allin M, Walshe M, Murray R, Williams SC, Murphy DG and Catani M. Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography. Neuroimage 2011; 54:49-59. link