Individual-level functional connectivity predicts cognitive control efficiency

Benjamin L. Deck; Apoorva Kelkar; Brian Erickson; Fareshte Erani; Eric McConathey; Daniela Sacchetti; Olufunsho Faseyitan; Roy Hamilton; John D. Medaglia

doi:10.1016/j.neuroimage.2023.120386

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Individual-level functional connectivity predicts cognitive control efficiency

Journal article

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Individual-level functional connectivity predicts cognitive control efficiency

Benjamin L. Deck, Apoorva Kelkar, Brian Erickson, Fareshte Erani, Eric McConathey, Daniela Sacchetti, Olufunsho Faseyitan, Roy Hamilton and John D. Medaglia

NeuroImage (Orlando, Fla.), p120386

Oct 2023

DOI: https://doi.org/10.1016/j.neuroimage.2023.120386

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Title: Individual-level functional connectivity predicts cognitive control efficiency
Creators: Benjamin L. Deck - Drexel University
Apoorva Kelkar - Drexel University
Brian Erickson - Drexel University
Fareshte Erani - Drexel University
Eric McConathey - University of Pennsylvania
Daniela Sacchetti - University of Pennsylvania
Olufunsho Faseyitan - University of Pennsylvania
Roy Hamilton - University of Pennsylvania
John D. Medaglia - Drexel University
Publication Details: NeuroImage (Orlando, Fla.), p120386
Publisher: Elsevier
Resource Type: Journal article
Language: English
Academic Unit: Psychological and Brain Sciences (Psychology)
Web of Science ID: WOS:001103977900001
Scopus ID: 2-s2.0-85174424781
Other Identifier: 991021416635004721

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Collaboration types: Domestic collaboration
Web of Science research areas: Neuroimaging; Neurosciences; Radiology, Nuclear Medicine & Medical Imaging

Individual-level functional connectivity predicts cognitive control efficiency

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UN Sustainable Development Goals (SDGs)

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