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  The rediscovery of slowness: Exploring the timing of cognition

Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V. K., & Deco, G. (2015). The rediscovery of slowness: Exploring the timing of cognition. Trends in Cognitive Sciences, 19(10), 616-628. doi:10.1016/j.tics.2015.07.011.

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 Urheber:
Kringelbach, Morten L.1, 2, Autor
McIntosh, Anthony R.3, Autor
Ritter, Petra4, 5, Autor           
Jirsa, Viktor K.6, Autor
Deco, Gustavo7, 8, Autor
Affiliations:
1Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
2Center of Functionally Integrative Neuroscience, Aarhus University, Denmark, ou_persistent22              
3Rotman Research Institute, University of Toronto, ON, Canada, ou_persistent22              
4Minerva Research Group Brain Modes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_751546              
5Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
6Institut de Neurosciences des Systèmes, Aix-Marseille Université Faculté de Médecine, Marseille, France, ou_persistent22              
7Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
8Catalan Institution for Research and Advanced Studies (ICREA), Pompeu Fabra, Barcelona, Spain, ou_persistent22              

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Schlagwörter: Resting-state activity; Whole-brain modeling; Dynamical systems
 Zusammenfassung: Slowness of thought is not necessarily a handicap but could be a signature of optimal brain function. Emerging evidence shows that neuroanatomical and dynamical constraints of the human brain shape its functionality in optimal ways, characterized by slowness during task-based cognition in the context of spontaneous resting-state activity. This activity can be described mechanistically by whole-brain computational modeling that relates directly to optimality in the context of theories arguing for metastability in the brain. We discuss the role for optimal processing of information in the context of cognitive, task-related activity, and propose that combining multi-modal neuroimaging and explicit whole-brain models focused on the timing of functional dynamics can help to uncover fundamental rules of brain function in health and disease.

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Sprache(n): eng - English
 Datum: 20152015-09-242015-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.tics.2015.07.011
 Art des Abschluß: -

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Titel: Trends in Cognitive Sciences
  Andere : Trends Cogn. Sci.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 19 (10) Artikelnummer: - Start- / Endseite: 616 - 628 Identifikator: ISSN: 1364-6613
CoNE: https://pure.mpg.de/cone/journals/resource/954925620155