Atlases of cognition with large-scale brain mapping

Our paper has been accepted in Plos Computational Biology. Please see

This is the first  investigation of brain/cognition investigation that relies on a systematic cognitive ontology approach.

Predictive models can overcome reductionism in cognitive neuroimaging

Please read our preprint at

Nilearn 0.5.0 is out !

We are happy to announce the release of version 0.5 of nilearn, released
on Friday by Kshitij!

The most exciting addition in this release is interactive plotting
that naturally embeds in the Jupyter notebook, to plot volumes, surfaces,
or connectomes:

A detailed changelog can be found at:

Nistats is out

The beta release of Nistats is now available ! Much improved documentation, examples and tutorials.

See for more information.

Text to brain: predicting the spatial distribution of neuroimaging observations from text reports

Our “text2brain” work has been accepted at MICCAI 2018 !

Please see


Visit of J. Dockès in Poldracklab

As part of metaMRI, Jérome Dockès is spending 2 months with Poldracklab to discuss text mining and cognitive ontologies: how do we extract information from neuroimaging literature and associate activation foci with these concepts ?

MetaMRI@ 2nd Annual CRN Coding Sprint

Elvis Dohmatob (Parietal) and Martin Perez Guevara (Neurospin) are staying there to work on BIDS, fmriprep, nistats with Poldracklab and the open science brain iamging community of the west cost.

More information here:

News workshop

Russ Poldrack is visiting Parietal for the News workshop on June 8-9, 2017

See you there:

MetaMRI at the BIS’2017

Joke Durnez will present our activities during this workshop.

BIS’2017 event page:


Meet metaMRI at NIPS’2016

MetaMRI partners will present several works at NIPS:

  • Learning brain regions via large-scale online structured sparse dictionary learning
    Elvis DOHMATOB*, Inria; Arthur Mensch, inria; Gaël Varoquaux, ; Bertrand Thirion,
  • Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
    Timothy Rubin*, Indiana University; Sanmi Koyejo, UIUC; Michael Jones, Indiana University; Tal Yarkoni, University of Texas at Austin