Human brain is responsible for both motor tasks, i.e. when actual movement of some body parts happen, and also for imagery tasks: when the person imagines a movement. This is a project that aims to find functional connectivity among brain areas in both imagined and real motor movements. This project also aims to find the similarity (or lack thereof) between real and imaginary movement in lower dimensional latent space of brain signals using Principal Component Analysis.
Paper background: Miller, K. J., Schalk, G., Fetz, E. E., Den Nijs, M., Ojemann, J. G., and Rao, R. P. (2010). Cortical activity during motor execution, motor imagery, and imagery-based online feedback. Proceedings of the National Academy of Sciences 107(9):4430-4435. doi: 10.1073/pnas.0913697107
Dataset: https://www.nature.com/articles/s41562-019-0678-3
By:
- Minjing Chen
- Lorna Fowler
- Ritobrata Ghosh
- Grigory Matveev
- Sezan Mert
- Marco Patiño
- Margarida Pinto
- Kai Rothe
Done in 2022 Neuromatch Academy.
Acknowledgment:
- Amir Hosein Asadi
- Mohammad Rabiei
- Sam Zibman
- Neuromatch Academy and its organizers and volunteers
Cite this repository:
@misc{CitekeyMisc,
title = "Functional connectivity differences between ECoG signals during motor movement vs. motor imagery",
author = "{Chen, Minjing & Fowler, Lorna & Ghosh, Ritobrata & Matveev, Grigory & Mert, Sezan & Patiño, Marco & Pinto, Margarida & Rothe, Kai}",
howpublished = "\url{https://github.com/ghosh-r/functional-connectivity-motor-imagery}",
year = 2022,
note = "Group Project of Neuromatch Academy 2022"