Neuroquery: mapping text to brain regions.

[jeromedockes]

Title

Neuroquery: mapping text to brain regions.

Presentor and Affiliation

Jérôme Dockès, INRIA (@jeromedockes)

Collaborators

Russel Poldrack, Stanford University
Fabian Suchanek, Telecom Paris
Bertrand Thirion, INRIA (@bthirion)
Gaël Varoquaux, INRIA (@GaelVaroquaux)

Github Link (if applicable)

Python package to be released on Github in the near future; but the tool is already online: https://neuroquery.saclay.inria.fr

Abstract (max. 200 words):

Neuroquery is a new tool for large-scale meta-analysis based on multivariate regression and distributional semantics. It is inspired by Neurosynth, but presents key differences:

• It expands queries to related terms. Existing meta-analysis methods rely on a fixed vocabulary and can only produce brain maps for a restricted set of expressions. Neuroquery relies on co-occurrences in the literature to automatically map user queries to the set of terms it can encode into brain images. It can thus produce maps for a much wider and more flexible set of queries, greatly reducing the need for users to manually adjust their questions to the tool's vocabulary.

• It can encode rare expressions (e.g "prosopagnosia") that are challenging for traditional meta-analysis methods.

• Rather than single words, it can encode text of arbitrary length. It can produce meaningful maps for concepts that are better described by a sentence or paragraph, or even for abstracts or papers.

• It models the similarities and relationships between terms used in neuroscience publications, allowing users to easily navigate from a query to related terms and documents and comparing their associated brain maps.

Preferred Session

Lightning talk, preferably: "1. Neuroscience toolkit" or "2. Multi-modal research".

Additional Context

A more comprehensive description of the methods behind Neuroquery, and extensive empirical validation, will be presented during the oral session "Modeling and Analysis Methods - Uni/multi-variate analysis", on Monday, June 10:

4554 - Towards Universal Brain Encoding with Multivariate Regression and Large Scientific Corpora

At the Open Science Room, I would like to show the online tool and its features, and receive questions and suggestions from potential users and contributors.

[TimVanMourik]

Hi @jeromedockes, I’m happy to tell you that we’d like to host your lightning talk in the OSR in the neuroscience toolkit session. This will be a talk of 5 minutes + 5 minutes of questions. We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the [presentations folder](https://github.com/ohbm/OpenScienceRoom2019/tree/master/ by means of a Pull Request to this repository, preferably but not necessarily before the presentation.

[jeromedockes]

Thanks! I'm planning an interactive demo of a web-based tool so I probably won't have any material to upload.

[emdupre]

It would be great if you could upload just a markdown file with the links, so we have a record of what was shown ! If that won't be possible, let us know and we can try to find another solution 😸 Thanks !

[jeromedockes]

sure! #34

[TimVanMourik]

Thanks for the presentation!

Uploaded in #34