beta.neurosynth.org
Neurosynth|Topic-based meta-analyses
http://beta.neurosynth.org/analyses/topics
The topic sets listed in the table below were created by applying a standard topic modeling approach ( Latent Dirichlet allocation. To the abstracts or text of articles in the database. To facilitate use in a variety of applications, we have created topic sets that vary in resolution (i.e., that contain different numbers of topics). A detailed description of the procedures used to generate these topics can be found in Poldrack et al (2012). Created and maintained by Tal Yarkoni.
beta.neurosynth.org
Neurosynth: All studies
http://beta.neurosynth.org/studies
There are currently 11406 studies in the Neurosynth database. The table below contains a listing of all studies currently included in the Neurosynth database, representing a significant fraction of the current fMRI literature. New studies are added at regular intervals. If you'd like to select individual studies from the table below and conduct custom online meta-analyses, please log in. Created and maintained by Tal Yarkoni. Supported by NIH award R01MH096906.
nidm.nidash.org
Getting started with NIDM - Neuroimaging Data Model
http://nidm.nidash.org/getting-started
Getting started with NIDM. Getting started with NIDM. Export your mass-univariate neuroimaging results as NIDM-Results packs. Is a compressed file containing essential metadata describing the experiment as well as key image files summarising the statistical results in compliance with NIDM-Results specification. Results with the NIDM toolbox for SPM. FEAT) results with nidmfsl. Your NIDM-Results packs with the nidmviewer. And visualise your NIDM-Results packs on NeuroVault.
blog.chrisgorgolewski.org
Multiple Comparisons: December 2014
http://blog.chrisgorgolewski.org/2014_12_01_archive.html
Brains, behaviour, statistics, and random thoughts. Friday, December 12, 2014. How to convert between voxel and mm coordinates using Python. I'm often asked how to go from voxel and mm coordinates using Python. This can be easily achieved using nibabel package with only few lines of code. The following tutorial is based on Matthew Brett. Answer on the nipy mailing list. Going from voxel to mm coordinates. Import nibabel as nib. Img = nib.load(data fname). Get the affine matrix and convert the coordinates.
blog.chrisgorgolewski.org
Multiple Comparisons: How to embed interactive brain images on your website or blog
http://blog.chrisgorgolewski.org/2014/12/how-to-embed-interactive-brain-images.html
Brains, behaviour, statistics, and random thoughts. Monday, December 8, 2014. How to embed interactive brain images on your website or blog. We have recently added a new feature to NeuroVault. You can embed statistical maps in external websites and blogs. They look just like this one below:. It's very easy to use. You just need to upload you statistical maps. This feature has been long awaited by some modern academic journals (like F1000Research. As well as some neuroimaging bloggers (see Micah Allen.
beta.neurosynth.org
Neurosynth: (0, 0, 0)
http://beta.neurosynth.org/locations
Functional connectivity and coactivation maps. Associations with meta-analysis maps. Func conn. (r). Meta-analytic coact. (r). Location-based analyses: Frequently Asked Questions. What is a "location" in Neurosynth? What's the difference between the functional connectivity and meta-analytic coactivation image layers? Buckner et al (2011). And Choi et al (2012). The meta-analytic coactivation map (which is hidden by default, but can be activated by clicking on the corresponding eye icon [. The meta-analyt...
beta.neurosynth.org
Neurosynth|Custom Analyses
http://beta.neurosynth.org/analyses/custom
New to custom analyses? Read the Custom Analyses FAQ. You must be signed in to be able to create and save custom analyses. Created and maintained by Tal Yarkoni. Supported by NIH award R01MH096906.
neuropowertools.org
Tutorial | NeuroPowerTools
http://www.neuropowertools.org/neuropower/tutorial
This toolbox is based on an unthresholded statistical map from pilot data. There's different sources for pilot data. Here are some options. Collecting a pilot dataset. Yes, collecting pilot data is expensive. Yet it is your best option for a power analysis. If you don't have the resources to collect pilot data, there's a lot of people sharing their data. NeuroVault. Is a good source for statistical maps! Here's what you shouldn't. Use our toolbox for. You decide to add a few more subjects and then look a...
