Methods Workshop Reference page
Methods workshop is a meeting that takes place every two weeks on tuesday, 2 p.m. to 3 p.m. in the H8.145.175 room at Campus Biotech. The main goal is to discuss the technical problems that researchers face by pooling the knowledge of the people working there.
Study design, data acquisition, data processing, statistical analysis are all relevant topics of discussion.
This page will be a hub for the information gathered during the meeting and contain link to resources to help resolve most common problems.
Campus Biotech acquisition systems
EEG
- ANTneuro
This standard EEG system suffers from short cables and is very sensitive to motion. EEG headset with active electrodes seems to be less sensitive to motion. - OpenBCI
Open hardware EEG platform that can record wirelessly 16 channels EEG. Website
It provides a GUI, but can also be used with NeuroJS and OpenVibe and provides an API in multiple languages (Python, C++…)
Tests to perform : plug it to clinical EEG headset, try with both active and passive electrode, with dry and wet electrodes.
Eye-tracking
Motion-tracking
- Optitrack in the VR cave room H4-02
- Neuron system - H4-01 Official website
- Vicon system - Wyss center
MRI
3T MRI available at Campus Biotech and at the BBL.
Acquisition, data processing (fMRI, fiber tracking…)
Tools for fMRI acquisition : 3D glasses, joystick, physiology recordings
Physiology
Psychophysiology resources page (Sylvain Delplanque)
- Biopac system - Biopac used with VR
- Wireless Biopac
- Bitalino Open Hardware physiology
- OpenBCI
Virtual Reality
- HTC Vive
- Oculus Rift
- Unity3D and SteamVR
Open Data
Main issues:
- Sharing standard (metadata such as acquisition notes, database type, file format and directory structure, responsible consortiums)
- Sharing cost (time and investment of investigator, institutional dedicated staff, funding)
- Sharing conditions (a choice for the institution, the investigator, funding agencies and journals, location and cost of storage)
- Fully open with citation (DOI, paper, database name…)
- Partially open : subset of the data (main results) without raw data
- Only for data quality control with no possible re-use
- Partially open : collaboration with original investigators needed for re-use
- Problem of transition between current ad-hoc storage and future standard
- Existing standards : Shanoir, BIDS, Human Connectome Project