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PriMa: A low-cost, modular, open hardware, and 3D-printed fMRI manipulandum
R Stefan Greulich1, Timo Hüser2, Matthias Dörge3
1Deutsches Primatenzentrum GmbH, Kellnerweg 4, 37077 Göttingen, Germany; Faculty of Biology and Psychology, University of Goettingen, Germany.
Neuroimage
|May 31, 2021
Summary
Researchers developed an affordable, open-source MRI-compatible manipulandum for tracking subject behavior during fMRI scans. This novel device uses 3D printable components and optical fiber detection for precise motor action monitoring.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Open Hardware
Background:
- Accurate monitoring and control of subject behavior during functional magnetic resonance imaging (fMRI) are crucial for research.
- Existing commercial solutions for behavior tracking in fMRI are often expensive and limited in scope.
- There is a need for cost-effective, customizable hardware for motor action studies in fMRI.
Purpose of the Study:
- To introduce a novel, modular, and MRI-compatible grasp manipulandum for monitoring motor actions during fMRI.
- To provide an affordable and open-source alternative to restricted commercial behavior tracking systems.
- To detail the design, construction, and testing of the manipulandum for both human and non-human primate use.
Main Methods:
- Designed a modular manipulandum using MRI-compatible, 3D printable materials for buttons and chassis.
- Implemented a button press detection system utilizing optical fiber interruption, photodiodes, and signal amplification.
- Constructed two feedback devices (manipulanda), one tailored for macaques (Macaca mulatta) and one for human participants.
- Tested the devices in their respective experimental settings to evaluate performance.
Main Results:
- Successfully developed and tested two functional MRI-compatible manipulanda for motor action monitoring.
- The novel design proved effective in detecting button presses via optical fiber interruption.
- The modular and 3D printable nature allows for customization and cost reduction.
- Design files are shared under an open hardware license, promoting accessibility.
Conclusions:
- The presented novel grasp manipulandum offers a cost-effective, customizable, and open-source solution for motor behavior tracking in fMRI.
- This accessible hardware facilitates advanced neuroscience research by enabling precise monitoring of subject actions.
- The open hardware approach encourages wider adoption and further innovation in fMRI research tools.
