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EnglishCharacterization of the default mode network (DMN) as a complex network of functionally interacting dynamic systems has received great interest for the study of DMN neural mechanisms. In particular, understanding the relationship of intrinsic resting-state DMN brain network with cognitive behaviors is an important issue in healthy cognition and mental disorders. However, it is still unclear how DMN functional connectivity links to cognitive behaviors during resting-state. In this study, we hypothesize that static and dynamic DMN nodal topology is associated with upcoming cognitive task performance. We used graph theory analysis in order to understand better the relationship between the DMN functional connectivity and cognitive behavior during resting-state and task performance. Nodal degree of the DMN was calculated as a metric of network topology. We found that the static and dynamic posterior cingulate cortex (PCC) nodal degree within the DMN was associated with task performance (Reaction Time). Our results show that the core node PCC nodal degree within the DMN was significantly correlated with reaction time, which suggests that the PCC plays a key role in supporting cognitive function. © 2015, Springer Science+Business Media New York.
Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task performance / Lin, Pan; Yang, Yong; Jovicich, Jorge; De Pisapia, Nicola; Wang, Xiang; Zuo, Chun S.; Levitt, James Jonathan. - In: BRAIN IMAGING AND BEHAVIOR. - ISSN 1931-7557. - 10(2016), pp. 212-225. [10.1007/s11682-015-9384-6]
| Titolo: | Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task performance | |
| Autori: | Lin, Pan; Yang, Yong; Jovicich, Jorge; De Pisapia, Nicola; Wang, Xiang; Zuo, Chun S.; Levitt, James Jonathan | |
| Autori Unitn: | ||
| Titolo del periodico: | BRAIN IMAGING AND BEHAVIOR | |
| Anno di pubblicazione: | 2016 | |
| Codice identificativo Scopus: | 2-s2.0-84959870411 | |
| Codice identificativo Pubmed: | 25904156 | |
| Codice identificativo WOS: | WOS:000377829500023 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s11682-015-9384-6 | |
| Handle: | http://hdl.handle.net/11572/110882 | |
| Citazione: | Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task performance / Lin, Pan; Yang, Yong; Jovicich, Jorge; De Pisapia, Nicola; Wang, Xiang; Zuo, Chun S.; Levitt, James Jonathan. - In: BRAIN IMAGING AND BEHAVIOR. - ISSN 1931-7557. - 10(2016), pp. 212-225. [10.1007/s11682-015-9384-6] | |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2015, Lin et al., Brain Im and Beh 2015, Static and dynamic PCC nodal topology of DMN predicsts attention task performance.pdf | Versione editoriale (Publisher’s layout) | Tutti i diritti riservati (All rights reserved) | Administrator | |
| 2016, Lin et al., Brain Imag Behav, Accepted Version.pdf | Post-print referato (Refereed author’s manuscript) | Tutti i diritti riservati (All rights reserved) | Open Access Visualizza/Apri |
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