Welcome to the github repository of connectivityml. This is a team project during the 2021 NeuroHackademy Hackathon week, where participants split into teams to work on projects of interest (to view all the projects, see here). For connectivityml, the team explored using functional connectivity from the Human Connectome Project (HCP) to predict individual characteristics.
To enhance reproducibility, this repository is in the process of being organized into a clean repository, with one jupyter notebook incorporating all the separate pieces of codes.
The presentation slides may be accessed here.
- Full details can be found here
- Selected behavioral data:
| Column Header | Description |
|---|---|
| MMSE_Score | Mini Mental State Examination (MMSE) Completed |
| PSQI_Score | Pittsburgh Sleep Quality Index (PSQI) Completed |
| Mars_Final | Mars Final Contrast Sensitivity Score |
- Lundberg, S.M., Lee, S.-I., 2017. A Unified Approach to Interpreting Model Predictions, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS’17. Curran Associates Inc., Red Hook, NY, USA, pp. 4768–4777.
- Zhang C, Dougherty CC, Baum SA, White T, Michael AM. Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity. Hum Brain Mapp. 2018;39(4):1765-1776.