MKDA outputs over the Neurosynth corpus
May 21, 2026 · View on GitHub
Overview
CANlab Multilevel Kernel Density Analysis (MKDA) intermediate
outputs computed over the Neurosynth coordinate corpus. MKDA convolves
each study's reported peak coordinates with an indicator kernel and
aggregates across studies to obtain a voxel-wise activation-proportion
map (and inference structures for permutation testing). The folder
holds the CANlab MKDA SETUP / MC_Info MAT-files plus a single
summary Activation_proportion image; these are produced by
Neurosynth_maps/scripts/ns_matlab_prep_MKDA.m as part of the
Neurosynth build pipeline and are reused by other CANlab analyses
(co-activation, seed maps, etc.).
Primary reference
Derived from the Neurosynth coordinate database as part of the CANlab build pipeline; the MKDA method itself is:
- Wager, T. D., Lindquist, M., & Kaplan, L. (2007). Meta-analysis of functional neuroimaging data: Current and future directions. Social Cognitive and Affective Neuroscience, 2(2), 150–158. doi:10.1093/scan/nsm015
- Wager, T. D., Lindquist, M. A., Nichols, T. E., Kober, H., & Van Snellenberg, J. X. (2009). Evaluating the consistency and specificity of neuroimaging data using meta-analysis. NeuroImage, 45(1, Suppl.), S210–S221. doi:10.1016/j.neuroimage.2008.10.061
For the underlying corpus see Yarkoni et al. 2011 Nat Methods
(linked from ../2016_Neurosynth_100_topics/contents_description.md).
Key images
| Cortical surface | Axial montage |
|---|---|
![]() | ![]() |
The MKDA-summary Activation_proportion map — the voxel-wise
proportion of Neurosynth studies reporting activation at each
location. The matching isosurface is in
png_images/Neurosynth_MKDA_Activation_proportion_isosurface.png;
rendered by visualize_contents.m.
How to load
Not in load_image_set. Load the summary image directly:
ap = fmri_data(which('Activation_proportion.img'));
The .mat files are CANlab MKDA structures and are intended to be
consumed by CANlab MKDA helpers (Meta_Activation_FWE, Meta_Setup,
permutation-test runners). For example:
load(which('SETUP.mat')); % SETUP struct
load(which('MC_Info.mat')); % Monte-Carlo permutation info
File inventory
| File | Type | What it is |
|---|---|---|
Activation_proportion.img / .hdr | Analyze | Voxel-wise proportion of Neurosynth studies reporting activation. |
SETUP.mat | MAT | CANlab MKDA SETUP structure (study list, kernels, contrasts). |
MC_Info.mat | MAT | Monte-Carlo / permutation info used for FWE inference. |
visualize_contents.m | MATLAB | Renders the activation-proportion map to png_images/. |
Citations
- Wager TD, Lindquist M, Kaplan L (2007). Meta-analysis of functional neuroimaging data. SCAN 2:150–158. doi:10.1093/scan/nsm015
- Wager TD, Lindquist MA, Nichols TE, Kober H, Van Snellenberg JX (2009). Evaluating the consistency and specificity of neuroimaging data using meta-analysis. NeuroImage 45:S210–S221. doi:10.1016/j.neuroimage.2008.10.061
- Yarkoni T, Poldrack RA, Nichols TE, Van Essen DC, Wager TD (2011). Large-scale automated synthesis of human functional neuroimaging data. Nat Methods 8:665–670. doi:10.1038/nmeth.1635

