NeuroInfer

[davidecrc]

NeuroInfer

Leaders

@davidecrc & @mlionello

davide.coraci@imtlucca.it

Brainhack Global 2023 Event

Brainhack Lucca

Project Description

NeuroInfer (NI) is a tool for drawing Bayesian inferences on the associations between cognitive processes and brain activations based on meta-analytic data from fMRI published studies. In a nutshell, it allows neuroscientists to interpret their results and assess the reliability of their hypotheses.

Compared to available tools (e.g., NeuroSynth, NeuroQuery, BACON), NI implements a more sophisticated Bayesian analysis (based on Bayesian confirmation theory).
Up to date, the NI framework includes a database of published fMRI studies and related metadata (updated in 2018 and shared with NeuroSynth and NeuroQuery), a vocabulary of terms, and a Python-based algorithm to perform the analysis.

Link to project repository/sources

neuroinfer_brainhack23

Goals for Brainhack Global

Our goal for the Brainhack 2023 is to develop the NueroInfer platform.

In particular, we plan:

1. to improve the python-based script at the core of the current version of NI.
2. to develop a GUI for NI
3. to realize a beta version of NI to upload on GitHub (and provide some useful tutorial)

Skills

• expertise in python coding
• expertise with GUI development (optional)
• familiariy with neuroinformatics and related tools

Credit to collaborators

Credits on the GitHub page of the platform; in the future, collaborators will be asked to take part in further developments of the project

Image

Type

coding_methods, other

###Topic

bayesian_approaches, hypothesis_testing, reproducible_scientific_methods, other

Tools

Jupyter, PyCharm

Programming language

Python, JavaScript, HTML

Modalities

fMRI