Automatic and Reliable Quantification of Tonic Dopamine Concentrations In Vivo Using a Novel Probabilistic Inference Method
DC Field | Value | Language |
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dc.contributor.author | Kim, Jaekyung | - |
dc.contributor.author | Barath, Abhijeet S. | - |
dc.contributor.author | Rusheen, Aaron E. | - |
dc.contributor.author | Cabrera, Juan M. Rojas | - |
dc.contributor.author | Price, J. Blair | - |
dc.contributor.author | Shin, Hojin | - |
dc.contributor.author | Goyal, Abhinav | - |
dc.contributor.author | Yuen, Jason W. | - |
dc.contributor.author | Jondal, Danielle E. | - |
dc.contributor.author | Blaha, Charles D. | - |
dc.contributor.author | Lee, Kendall H. | - |
dc.contributor.author | Jang, Dong Pyo | - |
dc.contributor.author | Oh, Yoonbae | - |
dc.date.accessioned | 2022-07-07T00:30:04Z | - |
dc.date.available | 2022-07-07T00:30:04Z | - |
dc.date.created | 2021-07-14 | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 2470-1343 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142177 | - |
dc.description.abstract | Dysregulation of the neurotransmitter dopamine (DA) is implicated in several neuropsychiatric conditions. Multiple-cyclic square-wave voltammetry (MCSWV) is a state-of-the-art technique for measuring tonic DA levels with high sensitivity (<5 nM), selectivity, and spatiotemporal resolution. Currently, however, analysis of MCSWV data requires manual, qualitative adjustments of analysis parameters, which can inadvertently introduce bias. Here, we demonstrate the development of a computational technique using a statistical model for standardized, unbiased analysis of experimental MCSWV data for unbiased quantification of tonic DA. The oxidation current in the MCSWV signal was predicted to follow a lognormal distribution. The DA-related oxidation signal was inferred to be present in the top 5% of this analytical distribution and was used to predict a tonic DA level. The performance of this technique was compared against the previously used peak-based method on paired in vivo and post-calibration in vitro datasets. Analytical inference of DA signals derived from the predicted statistical model enabled high-fidelity conversion of the in vivo current signal to a concentration value via in vitro post-calibration. As a result, this technique demonstrated reliable and improved estimation of tonic DA levels in vivo compared to the conventional manual post-processing technique using the peak current signals. These results show that probabilistic inference-based voltammetry signal processing techniques can standardize the determination of tonic DA concentrations, enabling progress toward the development of MCSWV as a robust research and clinical tool. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.title | Automatic and Reliable Quantification of Tonic Dopamine Concentrations In Vivo Using a Novel Probabilistic Inference Method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jang, Dong Pyo | - |
dc.identifier.doi | 10.1021/acsomega.0c05217 | - |
dc.identifier.scopusid | 2-s2.0-85103376613 | - |
dc.identifier.wosid | 000631101200011 | - |
dc.identifier.bibliographicCitation | ACS OMEGA, v.6, no.10, pp.6607 - 6613 | - |
dc.relation.isPartOf | ACS OMEGA | - |
dc.citation.title | ACS OMEGA | - |
dc.citation.volume | 6 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 6607 | - |
dc.citation.endPage | 6613 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.subject.keywordPlus | SCAN CYCLIC VOLTAMMETRY | - |
dc.subject.keywordPlus | HUMAN STRIATUM ADSORPTION RECEPTO RSRELEASE NUCLEUS | - |
dc.identifier.url | https://pubs.acs.org/doi/10.1021/acsomega.0c05217 | - |
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