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Meta-analytic methods for fMRI, VBM and PET
Software | Tutorial | Manual |
Database | Web utilities |
The people
Please replace older versions of SDM software by ES-SDM version 2.14,
which includes the following new features:
-
A height threhsold for z-values can be optionally set.
-
Images produced when thresholding only include the clusters described
in the text report, and MRIcroN might be replaced by FSLView when available.
Please feel free to download the new software
Introduction
Signed Differential Mapping is a statistical technique for
meta-analyzing
studies on differences in brain activity or structure which used
neuroimaging techniques such as
fMRI, VBM or PET.
Meta-analyses using this method have been already published at
high quality journals such as
Arch Gen Psychiat
,
Am J Psychiatry
,
Biol Psychiat
,
Schizophrenia Bull
,
Br J Psychiat
,
Neurobiol Aging
,
Neuroimage
,
Psychol Med
,
Schizophr Res
,
J Clin Psychopharmacol
,
J Affect Disorders
,
Eur J Neurol
,
Eur Psychiat
,
Amyotroph Lateral Sc
or
Biol Mood Anxiety Disord
.
The method
An introduction of the method
can be found in the SDM Reference Manual.
Briefly, some of the features are:
-
Possibility of combining group
peak coordinates with parametric images.
-
A criterion in the
selection of the coordinates to avoid biases towards liberally
thresholded regions.
-
Use of specific gray or white matter templates.
-
Accounting for different
sources of spatial error (e.g. coregistration mismatch or the
size of the cluster), peaks' effect-size, and
signed maps
to counteract positive and negative differences.
-
Weights in the calculations:
intra-study variance (i.e. studies with large sample sizes and/or lower error contribute
more) and other optional weights.
-
Use of the general linear model and inter-study heterogeneity to allow
meta-analytical
comparisons between groups and use of covariates.
-
Complementary analyses such as exploration of heterogeneity
(by means of heterogeneity maps, subgroup analyses
and meta-regressions)
and jackknife analyses (to assess
the replicability of the results).
The software
Please feel free
to download the software created by the
SDM Project to carry out such meta-analyses.
References
Papers introducing relevant SDM methods:
-
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.
(SDM method 1/3: original algorithms)
-
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.
(SDM method 2/3: comparisons and linear models)
-
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 2011; in Press.
(SDM method 3/3: effect-sizes and variances)
-
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.
(SDM specific white matter template)
Other studies using SDM:
-
Bora E, Fornito A, Yücel M and
Pantelis C. Voxelwise meta-analysis of gray matter abnormalities
in bipolar disorder.
Biol Psychiatry 2010; 67:1097-1105.
-
Chen Z and Ma L. Grey matter volume changes over the
whole brain in amyotrophic lateral sclerosis: A voxel-wise
meta-analysis of voxel based morphometry studies.
Amyotroph Lateral Scler 2010; 11:549-554.
-
Bora E, Fornito A, Radua J, Walterfang M, Seal M, Wood SJ, Yücel M,
Velakoulis D and Pantelis C. Neuroanatomical abnormalities
in schizophrenia: A multimodal voxelwise meta-analysis and
meta-regression analysis.
Schizophr Res 2011; 127:46-57.
-
E Via, J Radua, N Cardoner, F Happe and D Mataix-Cols. Meta-analysis
of gray matter abnormalities in autism spectrum disorder.
Arch Gen Psychiatry 2011; 68:409-418.
-
Lai CH. Gray matter deficits in panic disorder:
a pilot study of meta-analysis.
J Clin Psychopharmacol 2011; 31:287-93..
-
Richlan F, Kronbichler M and Wimmer H. Meta-analyzing brain
dysfunctions in dyslexic children and adults.
Neuroimage 2011; 56:1735-42.
-
Bora E, Fornito A, Pantelis and Yücel M. Gray matter abnormalities
in Major Depressive Disorder: A meta-analysis of voxel based morphometry
studies.
J Affect Disord 2011; in Press.
-
Li J, Pan P, Song W, Huang R, Chen K and Shang H. A meta-analysis
of diffusion tensor imaging studies in amyotrophic lateral sclerosis.
Neurobiol Aging 2011; in Press.
-
Pan PL, Song W and Shang HF. Voxel-wise meta-analysis of gray
matter abnormalities in idiopathic Parkinson's disease.
Eur J Neurol 2011; in Press.
-
Bora E, Fornito A, Yücel M and Pantelis C. The effects of
gender on grey matter abnormalities in major psychoses: a comparative
voxelwise meta-analysis of schizophrenia and bipolar disorder.
Psychol Med 2011; in Press.
-
Nakao T, Radua J, Rubia K and Mataix-Cols D. Gray matter volume
abnormalities in ADHD: Voxel-based meta-analysis exploring the effects of
age and stimulant medication.
Am J Psychiatry 2011; in Press.
-
Murphy ML and Frodl T. Meta-analysis of diffusion tensor
imaging studies shows altered fractional anisotropy occurring in
distinct brain areas in association with depression.
Biol Mood Anxiety Disord 2011; 1:3.
-
Fusar-Poli P, Radua J, McGuire P and Stefan B. Neuroanatomical
maps of psychosis onset: Voxel-wise meta-analysis of antipsychotic-naive
VBM studies.
Schizophrenia Bull 2011; in Press.
The authors
|
IoP King's College London
|
NeuroImageN
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