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dc.contributor.authorSchwerdt, Helen N
dc.contributor.authorZhang, Elizabeth
dc.contributor.authorKim, Min Jung
dc.contributor.authorYoshida, Tomoko
dc.contributor.authorStanwicks, Lauren
dc.contributor.authorAmemori, Satoko
dc.contributor.authorDagdeviren, Huseyin E
dc.contributor.authorLanger, Robert
dc.contributor.authorCima, Michael J
dc.contributor.authorGraybiel, Ann M
dc.date.accessioned2021-10-27T20:08:50Z
dc.date.available2021-10-27T20:08:50Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134720
dc.description.abstract© 2018, The Author(s). Chemical signaling underlies both temporally phasic and extended activity in the brain. Phasic activity can be monitored by implanted sensors, but chronic recording of such chemical signals has been difficult because the capacity to measure them degrades over time. This degradation has been attributed to tissue damage progressively produced by the sensors and failure of the sensors themselves. We report methods that surmount these problems through the development of sensors having diameters as small as individual neuronal cell bodies (<10 µm). These micro-invasive probes (µIPs) markedly reduced expression of detectable markers of inflammation and tissue damage in a rodent test model. The chronically implanted µIPs provided stable operation in monitoring sub-second fluctuations in stimulation-evoked dopamine in anesthetized rats for over a year. These findings demonstrate that monitoring of chemical activity patterns in the brain over at least year-long periods, long a goal of both basic and clinical neuroscience, is achievable.
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/S42003-018-0147-Y
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceNature
dc.titleCellular-scale probes enable stable chronic subsecond monitoring of dopamine neurochemicals in a rodent model
dc.typeArticle
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.relation.journalCommunications Biology
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-09-06T19:54:59Z
dspace.orderedauthorsSchwerdt, HN; Zhang, E; Kim, MJ; Yoshida, T; Stanwicks, L; Amemori, S; Dagdeviren, HE; Langer, R; Cima, MJ; Graybiel, AM
dspace.date.submission2019-09-06T19:55:01Z
mit.journal.volume1
mit.journal.issue1
mit.metadata.statusAuthority Work and Publication Information Needed


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