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Neurohackademy 2018 project directory

This repository contains descriptions of, and links to, all projects created by participants at Neurohackademy 2018. If you're adding a new project, please use the template below.

List of projects

Project template

When adding a new project to the listing, please copy and paste the template below.

Name: [project name]
Project url(s): [link to GitHub repo or other resources]
Contributors: [list of people involved], NAME
Description of project: [a few sentences describing the project]
How to get involved: [optional explanation of how one can get involved in the project]


Brain Age

Name: Brain Age
Project url(s):
Contributors: Julie Schneider, Ali Cohen, Danielle Sullivan, Daniel Low, Shina Seabury, Rachel Mak-McCully, Michalis Kassinopoulos, Prokopis Prokopiou
Description of project: How old is your brain? The current project implements Support Vector Regression (SVR) to predict #brain-age from structural MRI and resting-state fMRI seperately in neurotypical and clinical populations.
How to get involved: Contact Daniel Low


Name: The Nipype Pals Part 1: PALS Project url(s): Contributors: @kaoriito @joselise Description of project: We dockerized PALS with a GUI, refactored PALS with nipype (in progress), incorporated ni-learn for QC images. How to get involved: Check out our issues (more will be added soon!):

Name: The Nipype Pals Part 2: The Virtual Brain Project url(s): Contributors: @axiezai @yishuwei @amandakeasson
Description of project: We made a nipype workflow for The Virtual Brain
How to get involved: Check out our issues (more will be added soon!):


Name: ConvOuch
Project url(s):
Contributors: Jarod Roland, Zheng Ma
Description of project: Train a simple convolutional neural network to classify brain CT images has having an intracranial hemorrhage or not. Determine and select usable scans and organize them in the BIDS format
How to get involved: Try the model code with your own data!


Name: study_forrest
Project url(s): Contributors: Aya Ben-yakov, Jeff Brooks, Jin Cheong, Joao Guassi Moreira, Zheng Ma Description of project: Broadly, examine how neural representations of characters and emotions are shared between observers, change with experience, and track with other aspects of physiology.


Name: nilearn_task_networks
Project url(s):
Contributors: Josh Gray, Janelle Liu, Kamalaker Dadi, Karolina Finc, Ilkay Isik
Description of project: Building a pipeline and tutorial for task fMRI analysis from nistats to nilearn


Name: BIDSonym
Project url(s):,,
Contributors: Rita Ludwig, Peer Herholz
Description of project: a BIDS app for de-identification of neuroimaging data

MNI Atlas Reader

Name: MNI Atlas Reader
Project url(s):
Contributors: Dan Gale, Ross Markello , Michael Notter
Description of project: This package provides a Python interface for generating coordinate tables and region labels from fMRI statistical images.
How to get involved: Check out our issues on github or create a new one. We're thrilled to welcome new contributors!


Name: better-google
Project url(s): ,
Contributors: Saige Ruthaford, Shreyas Padhy, Anita Sinha, Xavier Guell Paradis, Theodore J. LaGrow, Patrick Beukema
Description of project: U-nets on T1 to T2, and HCP interactive tool (waaaay-beta)\

Parcellation Fragmenter

Name: Parcellation Fragmenter
Project url(s):
Contributors: Kristian Eschenburg, Claudio Toro, Amanda Sidwell and Michael Notter
Description of project: Fragments a surface mesh into N-equally sized annotation parcels. Besides looking beautiful, such surface parcellation could be used as feature extract for machine learning or functional connectivity approaches.
How to get involved: Check out our issues on github or create a new one. We're thrilled to welcome new contributors!


Name: bidsQC
Project url(s):
Contributors: Krista DeStasio, Kristian Eschenburg, James Kent, Lee Tirrell, Kirstie Whitaker, Tal Yarkoni
Description of project: Add a validate_sequences() module to pybids that creates user-friendly summary data frames to check whether a BIDS data set:

  1. Contains any files with duplicate content
  2. Is missing files that are expected to exist
  3. Has more files than are expected for a given subject \

How to get involved: Try bidsQC on your data set and let us know how it works!

fMRI mixed models using Neuropointillist

Name: fMRI mixed models using Neuropointillist
Project url(s): GitHub repo
Contributors: Emily Wood, Rebecca Martin, Rosa Li
Description of project: Expanding and creating tutorials for existing Neuropointillist project; adding some code to facilitate Neuropointillist use
How to get involved: Leave us feedback if you try the tutorials, and take a look at our issues to see if you can help.


Name: hacktrack
Project url(s):
Contributors: Ross Markello, Dan Gale, and Michael Notter
Description of project: A meta-project for examining Neurohackademy by the (wildly oversimplified and non-representative) numbers How to get involved: If you want to explore the data check out the Binder link in the main repository! Play around with the data and if you're inspired enough to generate a pretty plot, raise an Issue on the repository and let us know!


Name: O-Factor
Project url:
Contributors: Daniel Reznik, Emily Wood, Federico Adolfi, Kristina Rapuano, Mikella Green, Rosa Li, Rotem Botvinik-Nezer, Scott Cole
Description of project: Open-access articles were scraped from the PubMed Central API. Their full-text was searched for keywords (and phrases) indicative of code and data sharing. The prevalence of code and data sharing (and preregistration) was computed as a measure of the "openness" of the research published in that journal (it's "O-Factor").
How to get involved: Check out our issues on github or create a new one. We're thrilled to welcome new contributors!

Loops are Evil!?

Name: Loops are Evil!?
Project url(s):
Contributors: Serge Koudoro, Aurelio Cortese, Rogers Silva
Description of project: Loops are Evil!? Avoid Loops!? We listen or read this affirmation everywhere. The goal is to learn Numpy advanced features and see the benefit/drawback. We decide to implement a denoising algorithm (non local means - 6 loops) without any loop.
How to get involved: Look at our notebook to try our study and do not hesitate to add more information!

PredictiveViz and Scatterbrain

Name: PredictiveViz and Scatterbrain
Project url(s):
Project url(s):
Contributors: Nate Vack, Joanne Beer
Description of project: Interactive brain viewer and scatterplot visualization of univariate and multivariate neuroimage analyses.
How to get involved: Contact us with any questions or suggestions.


Name: NeuroImage
Project url(s):
Contributors: Tal Yarkoni, Anisha Keshavan, Nate Vack
Description of project: NeuroImage is a next-gen web viewer for visualization of neuroimaging data. Or at least it will be, one day. Maybe.
How to get involved: Wait for some functional code to exist, then submit a PR!


Name: PaperWiki
Project url(s):
Contributors: Jin Hyun Cheong
Description of project: Create a Wikipedia for academic papers with a discussion forum
How to get involved: App is in early stages so any suggestions or contributions will be helpful. Generating wikipages for articles will also be helpful as the goal is to create a crowdsourced knowledgebase.


Name: NiBetaSeries
Project url(s): github, readthedocs
Contributers : contributer's page


Directory of Neurohackademy 2018 projects



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