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Microcontroller based fibre-optic visual presentation system for multisensory neuroimaging.

Veldri Kurniawan¹, Jane Klemen, Christopher D Chambers

¹School of Psychology and Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, CF10 3AT, United Kingdom. veldri@gmail.com

Journal of Neuroscience Methods

|September 7, 2011

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Researchers developed a novel device for presenting visual stimuli in 3D space during functional magnetic resonance imaging (fMRI). This system enables complex experiments, confirming its suitability for advanced brain imaging research.

Area of Science:

Neuroimaging
Biomedical Engineering
Experimental Psychology

Background:

Presenting visual stimuli in 3D space during fMRI is technically challenging.
Standard projection screens and goggles are unsuitable for peripersonal space visuotactile and visuomotor tasks.
Fibre-optically transmitted LED lights offer a viable solution for in-scanner visual stimulus presentation.

Purpose of the Study:

To design and implement a microcontroller-based digital device for controlling fibre-optic LED lights.
To enable independent control of colour, brightness, and timing for each LED.
To create a modular and extensible system for diverse experimental needs.

Main Methods:

A microcontroller-based digital device was developed to control fibre-optic LED lights from a PC.

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The device allows independent control over each LED's colour, brightness, and timing.

The system was tested in fMRI experiments for visual perception, colour discrimination, and multisensory tasks.

Main Results:

The device successfully presented visual stimuli in 3D space within the MRI scanner.
fMRI experiments showed significant lateralized occipital cortex activation.
Reliable responses in ventral occipital areas and strong activations in multisensory brain regions were observed.

Conclusions:

The developed device is suitable for presenting complex fibre-optic visual and cross-modal stimuli during fMRI.
This technology facilitates advanced visuotactile and visuomotor research within the MRI environment.
The system's modularity allows adaptation for various neuroimaging paradigms.