Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.
Action Potentials
Animals
Artificial Intelligence
Brain
/ drug effects
Brain Mapping
Cerebral Cortex
Dopamine
/ analysis
Electric Conductivity
Electrodes
Female
Machine Learning
Mice
Mice, Inbred C57BL
Nanotechnology
Neurotransmitter Agents
/ analysis
Norepinephrine
Parkinson Disease
Serotonin
/ analysis
Single Molecule Imaging
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 07 2020
09 07 2020
Historique:
received:
29
04
2020
accepted:
22
06
2020
entrez:
11
7
2020
pubmed:
11
7
2020
medline:
23
1
2021
Statut:
epublish
Résumé
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied for this purpose; however, these techniques do not allow direct neurotransmitter detection with good temporal resolution by using nanometre-sized electrodes. Hence, we developed a method for direct observation of a single neurotransmitter molecule with a gap width of ≤ 1 nm and on the millisecond time scale. It consists of measuring the tunnelling current that flows through a single-molecule by using nanogap electrodes and machine learning analysis. Using this method, we identified dopamine, serotonin, and norepinephrine neurotransmitters with high accuracy at the single-molecule level. The analysis of the mouse striatum and cerebral cortex revealed the order of concentration of the three neurotransmitters. Our method will be developed to investigate the neurotransmitter distribution in the brain with good temporal resolution.
Identifiants
pubmed: 32647343
doi: 10.1038/s41598-020-68236-3
pii: 10.1038/s41598-020-68236-3
pmc: PMC7347941
doi:
Substances chimiques
Neurotransmitter Agents
0
Serotonin
333DO1RDJY
Dopamine
VTD58H1Z2X
Norepinephrine
X4W3ENH1CV
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
11244Références
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