A simple framework (ASF) for behavioral and neuroimaging experiments based on the psychophysics toolbox for MATLAB

Area of Science:

• Cognitive Neuroscience
• Neuroimaging
• Physiological Data Acquisition

Background:

• Cognitive neurosciences integrate behavioral experiments with physiological data acquisition.
• Methods like electroencephalography, magnetoencephalography, transcranial magnetic stimulation, and functional magnetic resonance imaging demand precise timing.
• Switching between these modalities often requires significant adjustments.

Purpose of the Study:

• To propose a unified framework for conducting uni- and multimodal experiments in cognitive neuroscience.
• To minimize adjustments when switching between different physiological data acquisition modalities.
• To enhance productivity for novice researchers and provide flexibility for experts.

Main Methods:

• Development of a simple, adaptable framework for cognitive neuroscience experiments.
• Leveraging existing software platforms like MATLAB and the Psychophysics Toolbox.
• Facilitating both standard experimental paradigms and advanced real-time applications.

Main Results:

• The proposed framework allows seamless integration of various neuroscientific data acquisition techniques.
• It supports both single and multiple modality experiments with minimal modifications.
• The framework is built upon widely-used software, ensuring broad accessibility and community support.

Conclusions:

• The developed framework offers a versatile solution for cognitive neuroscience research.
• It enables efficient and flexible experimentation across different physiological modalities.
• The tool supports current research practices and opens avenues for real-time neuroimaging and state-dependent stimulation.