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Bayesian methods for optimizing deep brain stimulation to enhance cognitive control

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.14.520473Source: DataRank Database

Bayesian methods for optimizing deep brain stimulation to enhance cognitive control is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Reusable (0/3)

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Authors (3)

Alik S. Widge ORCID,Théoden I. Netoff ORCID,Sumedh S Nagrale ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4313320359

National Institutes of Health

Grant: 5R01MH124687-02

Modeling circuit-specific psychiatric deep brain stimulation and its cognitive effects in macaques

National Institutes of Health

Grant: 5R01NS120851-03

Circuit and Cognitive Mechanisms of Striatal Deep Brain Stimulation

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/12/16/2022.12.14.520473.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.12.14.520473

repositoryhttps://doi.org/10.1101/2022.12.14.520473

Fields of Study

Neurological disorders and treatmentsFunctional Brain Connectivity StudiesEEG and Brain-Computer Interfaces03 medical and health sciences0302 clinical medicine

Keywords

Computer scienceLeverage (statistics)Deep brain stimulationScalabilityBrain stimulationCognitionArtificial intelligencePsychologyMedicineStimulationNeuroscience

Sustainable Development Goals

SDG 3: 3. Good health