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dc.contributor.authorShimazu, Hideki
dc.contributor.authorAmemori, Ken-ichi
dc.contributor.authorAmemori, Satoko
dc.contributor.authorTierney, Patrick
dc.contributor.authorHong, Simon
dc.contributor.authorYoshida, Tomoko
dc.contributor.authorLanger, Robert S
dc.contributor.authorGraybiel, Ann M
dc.contributor.authorCima, Michael J.
dc.contributor.authorSchwerdt, Helen
dc.contributor.authorGibson, Daniel J.
dc.date.accessioned2018-07-24T17:27:15Z
dc.date.available2018-07-24T17:27:15Z
dc.date.issued2017-12
dc.date.submitted2017-08
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/117085
dc.description.abstractMany debilitating neuropsychiatric and neurodegenerative disorders are characterized by dopamine neurotransmitter dysregulation. Monitoring subsecond dopamine release accurately and for extended, clinically relevant timescales is a critical unmet need. Especially valuable has been the development of electrochemical fast-scan cyclic voltammetry implementing microsized carbon fiber probe implants to record fast millisecond changes in dopamine concentrations. Nevertheless, these well-established methods have only been applied in primates with acutely (few hours) implanted sensors. Neurochemical monitoring for long timescales is necessary to improve diagnostic and therapeutic procedures for a wide range of neurological disorders. Strategies for the chronic use of such sensors have recently been established successfully in rodents, but new infrastructures are needed to enable these strategies in primates. Here we report an integrated neurochemical recording platform for monitoring dopamine release from sensors chronically implanted in deep brain structures of nonhuman primates for over 100 days, together with results for behavior-related and stimulation-induced dopamine release. From these chronically implanted probes, we measured dopamine release from multiple sites in the striatum as induced by behavioral performance and reward-related stimuli, by direct stimulation, and by drug administration. We further developed algorithms to automate detection of dopamine. These algorithms could be used to track the effects of drugs on endogenous dopamine neurotransmission, as well as to evaluate the long-term performance of the chronically implanted sensors. Our chronic measurements demonstrate the feasibility of measuring subsecond dopamine release from deep brain circuits of awake, behaving primates in a longitudinally reproducible manner. Keywords: striatum; voltammetry; neurotransmitters; chronic implantsen_US
dc.description.sponsorshipNational Institute of Neurological Diseases and Stroke (U.S.) (Grant R01 NS025529)en_US
dc.description.sponsorshipNational Institute of Neurological Diseases and Stroke (U.S.) (Grant F32 NS093897)en_US
dc.description.sponsorshipUnited States. Army Research Office (Contract W911NF-16-1-0474)en_US
dc.description.sponsorshipNational Institute of Biomedical Imaging and Bioengineering (U.S.) (Grant R01 EB016101)en_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1713756114en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleLong-term dopamine neurochemical monitoring in primatesen_US
dc.typeArticleen_US
dc.identifier.citationSchwerdt, Helen N. et al. “Long-Term Dopamine Neurochemical Monitoring in Primates.” Proceedings of the National Academy of Sciences 114, 50 (November 2017): 13260–13265 © 2017 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorSchwerdt, Helen N
dc.contributor.mitauthorShimazu, Hideki
dc.contributor.mitauthorAmemori, Ken-ichi
dc.contributor.mitauthorAmemori, Satoko
dc.contributor.mitauthorTierney, Patrick
dc.contributor.mitauthorGibson, Daniel J
dc.contributor.mitauthorHong, Simon
dc.contributor.mitauthorYoshida, Tomoko
dc.contributor.mitauthorLanger, Robert S
dc.contributor.mitauthorCima, Michael J
dc.contributor.mitauthorGraybiel, Ann M
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-07-18T18:20:40Z
dspace.orderedauthorsSchwerdt, Helen N.; Shimazu, Hideki; Amemori, Ken-ichi; Amemori, Satoko; Tierney, Patrick L.; Gibson, Daniel J.; Hong, Simon; Yoshida, Tomoko; Langer, Robert; Cima, Michael J.; Graybiel, Ann M.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0389-982X
dc.identifier.orcidhttps://orcid.org/0000-0001-8500-6820
dc.identifier.orcidhttps://orcid.org/0000-0003-2384-089X
dc.identifier.orcidhttps://orcid.org/0000-0003-4255-0492
dc.identifier.orcidhttps://orcid.org/0000-0003-2379-6139
dc.identifier.orcidhttps://orcid.org/0000-0002-4326-7720
mit.licensePUBLISHER_POLICYen_US


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