TY - JOUR
T1 - Dynamic network interactions supporting internally-oriented cognition
AU - Zabelina, Darya L.
AU - Andrews-Hanna, Jessica R.
N1 - Funding Information:
The authors would like to thank Kalina Christoff, Zachary Irving, Nathan Spreng and Kieran Fox for helpful discussion, and acknowledge the following funding sources: an Imagination Institute grant from the John Templeton Foundation ( RFP-15-04 ; DLZ), a Young Investigator Award from the Brain & Behavioral Research Foundation (JAH), and the support of a grant from the John Templeton Foundation (JAH) ‘Prospective Psychology Stage 2: A Research Competition’ to Martin Seligman. Note that the opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of the John Templeton Foundation and the Brain & Behavioral Research Foundation.
Publisher Copyright:
© 2016
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Recent advances in systems neuroscience have solidified the view that many cognitive processes are supported by dynamic interactions within and between large-scale brain networks. Here we synthesize this research, highlighting dynamic network interactions supporting a less explored aspect of cognition with important clinical relevance: internally-oriented cognition. We first present a brief overview of established resting-state networks, focusing on those supporting internally-oriented cognition, as well as those involved in dynamic control. We then discuss recent empirical work emphasizing that many cognitive tasks involving internally-oriented processes — such as mind-wandering, prospection, and creative thinking — rely on dynamic interactions within and between large-scale networks. Our aim is to provide a snapshot of emerging trends and future directions in an important aspect of human cognition.
AB - Recent advances in systems neuroscience have solidified the view that many cognitive processes are supported by dynamic interactions within and between large-scale brain networks. Here we synthesize this research, highlighting dynamic network interactions supporting a less explored aspect of cognition with important clinical relevance: internally-oriented cognition. We first present a brief overview of established resting-state networks, focusing on those supporting internally-oriented cognition, as well as those involved in dynamic control. We then discuss recent empirical work emphasizing that many cognitive tasks involving internally-oriented processes — such as mind-wandering, prospection, and creative thinking — rely on dynamic interactions within and between large-scale networks. Our aim is to provide a snapshot of emerging trends and future directions in an important aspect of human cognition.
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U2 - 10.1016/j.conb.2016.06.014
DO - 10.1016/j.conb.2016.06.014
M3 - Review article
C2 - 27420377
AN - SCOPUS:84978388541
SN - 0959-4388
VL - 40
SP - 86
EP - 93
JO - Current Opinion in Neurobiology
JF - Current Opinion in Neurobiology
ER -