Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

Schäfer, A., Margulies, D. S., Lohmann, G., Gorgolewski, K. J., Smallwood, J., Kiebel, S. J., et al. (2014). Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Frontiers in Human Neuroscience, 8: 195. doi:10.3389/fnhum.2014.00195.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Schaefer_DynamicNetwork.pdf (Verlagsversion), 7MB
Name:
Schaefer_DynamicNetwork.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Schäfer, Alexander1, Autor           
Margulies, Daniel S.2, Autor           
Lohmann, Gabriele3, Autor
Gorgolewski, Krzysztof J.2, Autor           
Smallwood, Jonathan4, Autor           
Kiebel, Stefan J.1, 5, Autor           
Villringer, Arno1, 6, 7, 8, Autor           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
3Department of High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ou_persistent22              
4Department of Psychology, University of York, Heslington, United Kingdom, ou_persistent22              
5Department of Neurology, Biomagnetic Center, Jena University Hospital, Germany, ou_persistent22              
6Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
7Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
8Center for Stroke Research, Charité University Medicine Berlin, Germany, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Graphs; Self-generated thoughts; Brain networks; Mind wandering
 Zusammenfassung: Network studies of large-scale brain connectivity have demonstrated that highly connected areas, or “hubs,” are a key feature of human functional and structural brain organization. We use resting-state functional MRI data and connectivity clustering to identify multi-network hubs and show that while hubs can belong to multiple networks their degree of integration into these different networks varies dynamically over time. The extent of the network variation was related to the connectedness of the hub. In addition, we found that these network dynamics were inversely related to positive self-generated thoughts reported by individuals and were further decreased with older age. Moreover, the left caudate varied its degree of participation between a default mode subnetwork and a limbic network. This variation was predictive of individual differences in the reports of past-related thoughts. These results support an association between ongoing thought processes and network dynamics and offer a new approach to investigate the brain dynamics underlying mental experience.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2013-12-202014-03-182014-05-06
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: BibTex Citekey: schaefer2014dynamic
DOI: 10.3389/fnhum.2014.00195
PMID: 24860458
PMC: PMC4018560
Anderer: eCollection 2014
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Frontiers in Human Neuroscience
  Kurztitel : Front Hum Neurosci
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Lausanne, Switzerland : Frontiers Research Foundation
Seiten: - Band / Heft: 8 Artikelnummer: 195 Start- / Endseite: - Identifikator: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161