Literature DB >> 24286701

StimSync: open-source hardware for behavioral and MRI experiments.

Christopher Rorden1, Taylor Hanayik2.   

Abstract

BACKGROUND: Many neuroscience experiments rely on presenting stimuli and measuring participants' responses to these events. Often computer screens, speakers and keyboards are sufficient. However, these devices are not appropriate for some situations. For example, some studies present tactile or olfactory stimuli or brain stimulation. Likewise, keyboard buttons are not appropriate for use with vocal responses, small animals or individuals with motor impairments. NEW
METHOD: We describe StimSync, which simulates USB keyboard inputs, allowing use with most experimental software. StimSync can measure button presses, optical signals from magnetic resonance imaging systems, changes in ambient light (e.g. synchronizing intracranial electrography), and auditory events (a voice key). In addition to the USB keyboard mode (necessarily millisecond precision), StimSync can also be set to provide higher precision timing. This feature can be used to validate timing, ensuring event synchronization (e.g. auditory events, visual events, brain stimulation). In addition to recording inputs, StimSync provides seven digital outputs for controlling external devices. Finally, StimSync can record analog inputs; we illustrate how this can be used to evaluate the rise time for computer displays.
RESULTS: We observed outputs with a mean latency of 2.1ms (sd=0.17ms) and USB inputs with a mean latency of 2ms (sd=0.54ms). COMPARISON WITH EXISTING METHOD(S): StimSync statistically outperforms two professional solutions and numerically outperforms other devices described in the literature.
CONCLUSIONS: StimSync (http://www.mccauslandcenter.sc.edu/CRNL/tools/stimsync) provides an open-source solution for controlling and validating neuroscience experiments. In addition to sharing the design, we have produced a batch of devices to demonstrate the market for professional implementations.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Custom response device; Human and animal responses; Magnetic resonance imaging; Motor-evoked potential; Open source hardware; Stimulus synchronization

Mesh:

Year:  2013        PMID: 24286701     DOI: 10.1016/j.jneumeth.2013.11.017

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


  2 in total

1.  Spectral Encoding of Seen and Attended Object Categories in the Human Brain.

Authors:  Zahraa Sabra; Leonardo Bonilha; Thomas Naselaris
Journal:  J Neurosci       Date:  2019-11-06       Impact factor: 6.167

2.  Separability of neural responses to standardised mechanical stimulation of limbs.

Authors:  Emma Brunton; Christoph W Blau; Kianoush Nazarpour
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

  2 in total

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