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  Time-resolved resting-state functional magnetic resonance imaging analysis: Current status, challenges, and new directions

Keilholz, S., Caballero-Gaudes, C., Bandettini, P., Deco, G., & Calhoun, V. (2017). Time-resolved resting-state functional magnetic resonance imaging analysis: Current status, challenges, and new directions. Brain Connectivity, 7(8), 465-481. doi:10.1089/brain.2017.0543.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-2511-A Versions-Permalink: https://hdl.handle.net/21.11116/0000-000D-334A-7
Genre: Zeitschriftenartikel

Externe Referenzen

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externe Referenz:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653134/ (Verlagsversion)
Beschreibung:
-
OA-Status:
Grün

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 Urheber:
Keilholz, Shella1, Autor
Caballero-Gaudes, Cesar2, Autor
Bandettini, Peter3, 4, Autor
Deco, Gustavo5, 6, 7, 8, Autor           
Calhoun, Vince9, 10, Autor
Affiliations:
1Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA, ou_persistent22              
2Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain, ou_persistent22              
3Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, USA, ou_persistent22              
4Functional MRI Core Facility, National Institute of Mental Health, Bethesda, MD, USA, ou_persistent22              
5Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
7Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
8School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
9The Mind Research Network (MRN), Albuquerque, NM, USA, ou_persistent22              
10Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA, ou_persistent22              

Inhalt

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Schlagwörter: Dynamic analysis; Dynamic connectivity; Network dynamics; Time-resolved resting-state fMRI
 Zusammenfassung: Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data allows researchers to extract more information about brain function than traditional functional connectivity analysis, yet a number of challenges in data analysis and interpretation remain. This article briefly summarizes common methods for time-resolved analysis and presents some of the pressing issues and opportunities in the field. From there, the discussion moves to interpretation of the network dynamics observed with rs-fMRI and the role that rs-fMRI can play in elucidating the large-scale organization of brain activity.

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Sprache(n): eng - English
 Datum: 2017-09-062017-10-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1089/brain.2017.0543
PMID: 28874061
PMC: PMC5653134
 Art des Abschluß: -

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Projektinformation

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Projektname : -
Grant ID : 1539067
Förderprogramm : -
Förderorganisation : National Science Foundation (NSF)
Projektname : -
Grant ID : ZIAMH002783
Förderprogramm : -
Förderorganisation : National Institute of Mental Health (NIMH)

Quelle 1

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Titel: Brain Connectivity
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Mary Ann Liebert
Seiten: - Band / Heft: 7 (8) Artikelnummer: - Start- / Endseite: 465 - 481 Identifikator: Anderer: 2158-0022
CoNE: https://pure.mpg.de/cone/journals/resource/2158-0022