Synchronous Measurements of Extracellular Action Potentials and Neurochemical Activity with Carbon Fiber Electrodes in Nonhuman Primates
Name
ENEURO.0001-24.2024.full.pdf
Description
Published version
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3.52 MB
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Checksum (MD5)
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Author(s)
Amjad, Usamma
Choi, Jiwon
Gibson, Daniel J
Murray, Raymond
Graybiel, Ann M
Schwerdt, Helen N
Date Issued
July 2024
Journal
eNeuro
Publisher
Society for Neuroscience
Citation
Usamma Amjad, Jiwon Choi, Daniel J. Gibson, Raymond Murray, Ann M. Graybiel, Helen N. Schwerdt
eNeuro 25 June 2024, 11 (7) ENEURO.0001-24.2024.
Version
Final published version
Abstract
Measuring the dynamic relationship between neuromodulators, such as dopamine, and neuronal action potentials is imperative to understand how these fundamental modes of neural signaling interact to mediate behavior. We developed methods to measure concurrently dopamine and extracellular action potentials (i.e., spikes) in monkeys. Standard fast-scan cyclic voltammetric (FSCV) electrochemical (EChem) and electrophysiological (EPhys) recording systems are combined and used to collect spike and dopamine signals, respectively, from an array of carbon fiber (CF) sensors implanted in the monkey striatum. FSCV requires the application of small voltages at the implanted sensors to measure redox currents generated from target molecules, such as dopamine. These applied voltages create artifacts at neighboring EPhys measurement sensors which may lead to misclassification of these signals as physiological spikes. Therefore, simple automated temporal interpolation algorithms were designed to remove these artifacts and enable accurate spike extraction. We validated these methods using simulated artifacts and demonstrated an average spike recovery rate of 84.5%. We identified and discriminated cell type-specific units in the monkey striatum that were shown to correlate to specific behavioral task parameters related to reward size and eye movement direction. Synchronously recorded spike and dopamine signals displayed contrasting relations to the task variables, suggesting a complex relationship between these two modes of neural signaling. Future application of our methods will help advance our understanding of the interactions between neuromodulator signaling and neuronal activity, to elucidate more detailed mechanisms of neural circuitry and plasticity mediating behaviors in health and in disease.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1523/ENEURO.0001-24.2024
