Neurochemical Concentration Prediction Using Deep Learning vs Principal Component Regression in Fast Scan Cyclic Voltammetry: A Comparison Study.

Deep Brain Stimulation / methods Deep Learning Dopamine / metabolism Electrochemical Techniques / methods Neurotransmitter Agents / analysis Serotonin / metabolism
Deep learning concentration estimation discrimination fast scan cyclic voltammetry neurochemical principal component regression

Journal

ACS chemical neuroscience
ISSN: 1948-7193
Titre abrégé: ACS Chem Neurosci
Pays: United States
ID NLM: 101525337

Informations de publication

Date de publication:
03 08 2022
Historique:
pubmed: 26 7 2022
medline: 5 8 2022
entrez: 25 7 2022
Statut: ppublish

Résumé

Neurotransmitters, such as dopamine and serotonin, are responsible for mediating a wide array of neurologic functions, from memory to motivation. From measurements using fast scan cyclic voltammetry (FSCV), one of the main tools used to detect synaptic efflux of neurochemicals

Identifiants

DOI: 10.1021/acschemneuro.2c00069 PMID: 35876751
pubmed: 35876751
doi: 10.1021/acschemneuro.2c00069
doi:

Substances chimiques

Neurotransmitter Agents 0
Serotonin 333DO1RDJY
Dopamine VTD58H1Z2X

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2288-2297

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS112176
Pays : United States

Auteurs

Hoseok Choi (H)

Department of Neurology, Weill Institute for Neuroscience, University of California San Francisco, San Francisco, California 94158, United States.

Hojin Shin (H)

Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States.
ORCID: 0000-0001-6095-5122

Hyun U Cho (HU)

Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.

Charles D Blaha (CD)

Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.

Michael L Heien (ML)

Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721, United States.
ORCID: 0000-0001-5164-9596

Yoonbae Oh (Y)

Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States.
ORCID: 0000-0003-1779-978X

Kendall H Lee (KH)

Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.
Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States.

Dong Pyo Jang (DP)

Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
ORCID: 0000-0002-2832-2576

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Classifications MeSH

questionsmedicales.fr › Procédures de chirurgie opératoire › Stimulation cérébrale profonde › Neurochemical Concentration Prediction Using...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Apprentissage profond › Neurochemical Concentration Prediction Using...
questionsmedicales.fr › Composés chimiques organiques › Hydrocarbures › Hydrocarbures cycliques › Hydrocarbures aromatiques › Dérivés du benzène › Phénols › Catéchols › Catécholamines › Dopamine › Neurochemical Concentration Prediction Using...
questionsmedicales.fr › Techniques d'investigation › Techniques électrochimiques › Neurochemical Concentration Prediction Using...
questionsmedicales.fr › Actions chimiques et utilisations › Actions pharmacologiques › Effets physiologiques des médicaments › Agents neuromédiateurs › Neurochemical Concentration Prediction Using...
questionsmedicales.fr › Facteurs biologiques › Médiateurs de l'inflammation › Autacoïdes › Sérotonine › Neurochemical Concentration Prediction Using...