Literature DB >> 32497676

Florida research open-source synchronization tool (FROST) for electrophysiology experiments.

Jose D Alcantara1, Robert S Eisinger2, Enrico Opri3, Madison Kelberman3, Jackson N Cagle3, Julieth Gomez3, Kelly D Foote4, Michael S Okun5, Aysegul Gunduz6.   

Abstract

BACKGROUND: Accurate interpretation of electrophysiological data in cognitive and behavioral experiments requires the acquisition of time labels, such as marking the exact start of a condition or moment a stimulus is presented to a research subject. NEW
METHOD: Here we present an inexpensive (∼30 USD) device used as a central relay for multiple peripheral devices, such as a computer screen presenting an experiment, a pressure-sensor push button, a multi-button responder, a pulse oximeter sensor, a light-emitting diode trigger for camera synchronization, and more. We refer to this device as the Florida Research Open-source Synchronization Tool (FROST). FROST allows for easy hardware and Arduino-based firmware modifications that enable a standard platform for the integration of novel peripheral sensors.
RESULTS: With two examples, we demonstrate the application of this device during human research experiments: intracranial-electroencephalography (EEG) recordings in a patient with epilepsy and surface-EEG recordings in a healthy participant. We provide an example setup for a rodent experiment as well. We also demonstrate the timing delays of our device. COMPARISON WITH EXISTING
METHODS: There is currently very few existing open-source synchronization tools for electrophysiological research that enable customization with new device compatibility. We developed this tool to enable widespread replication for many applications through an open-source platform.
CONCLUSIONS: FROST can be easily adapted for research experiments beyond the included example cases. All materials are open-source at github.com/Brain-Mapping-Lab/FROST.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrophysiology; Neurophysiology; Open-source; Synchronization

Mesh:

Year:  2020        PMID: 32497676      PMCID: PMC7375776          DOI: 10.1016/j.jneumeth.2020.108800

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


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