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Controlling the human connectome with spatially diffuse input signals

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.27.581006Source: DataRank Database

Controlling the human connectome with spatially diffuse input signals is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (13)IDs (PubMed, OpenAlex)SDGs (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (13)

Maria Grazia Puxeddu ORCID,Caio Seguin ORCID,Vincent Bazinet ORCID,Andrea I. Luppi ORCID,Alina N. Podschun

Live enrichment

PubMed:38463980 OpenAlex:https://openalex.org/W4392229397

National Institutes of Health

Grant: 5R01AG075044-04

Dynamic approaches to understanding social cognitive aging: A social network neuroscience approach

National Institutes of Health

Grant: 5R00MH127296-04

Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theory

National Science Foundation

Grant: 2023985

NCS-FO: Edge-centric maps of functional brain network organization and dynamics

NIMH NIH HHS

Grant: R00 MH127296

NIA NIH HHS

Grant: R01 AG075044

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/02/28/2024.02.27.581006.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.02.27.581006

repositoryhttps://doi.org/10.1101/2024.02.27.581006

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38463980

Fields of Study

EEG and Brain-Computer InterfacesFunctional Brain Connectivity StudiesNeural dynamics and brain function05 social sciences0501 psychology and cognitive sciences

Keywords

ConnectomeComputer scienceHuman Connectome ProjectNeuroscienceArtificial intelligenceFunctional connectivityPsychologyArticle

Sustainable Development Goals

SDG 0: Affordable and clean energy