Dynamic reconfiguration of frontal brain networks during executive cognition in humans

By Urs Braun, Axel Schäfer, Henrik Walter, Susanne Erk, N. Romanczuk-Seiferth, Leila Haddad, Janina I. Schweiger, Oliver Grimm, Andreas Heinz, Heike Tost and 2 more. Proceedings of the National Academy of Sciences of the United States of America, 2015

785 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/d848d8e23752765ea7097ea757bf4c57230a09ad

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In Cognitive Neuroscience

Citations in the corpus

Multi-scale brain networks (2016, neutral): “, 2011b), increased executive function (Braun et al., 2015), aging (Betzel et al.”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “The authors contend that these changes potentially support the ability to traverse through more diverse cognitive states in order to accomplish increasingly complex task demands (Bassett et al., 2011; Braun et al., 2015).”
The modular and integrative functional architecture of the human brain (2015, background): “Nonconnector node regions play a role as well (28, 87, 93, 94), and, as noted above, increased betweenmodule connectivity that is not routed through connector nodes has been found during many different tasks, and differentiates task connectivity from resting-state connectivity (36).”
Neuromorphic computing at scale (2025, neutral): “Studies show that executive cognition requires highly evolving and dynamically reconfiguring networks of brain regions that interact in complex and transient communication patterns 42 .”
Community Discovery in Dynamic Networks (2017, neutral): “…has two parameters k and t : the former regulate the rising of new communities (a new communities are created if a new clique of size k appears outside of existing ones), while the latter the merge of existing ones (communities can be merged if their similarity becomes greater than a threshold t ).”
Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks (2017, background): “Prior work has shown that network organization changes across time and context (46–50), with FPCN regions exhibiting considerable flexibility (7, 51, 52), consistent with a role in the context-dependent regulation of thought and perception (4, 6).”
Communication dynamics in complex brain networks (2017, background): “Individual network elements fluctuate in their modular affiliation 25,154 and their functional connectivity with other parts of the brain 155,156 , and extended functional networks reconfigure with changing task demands 156–159 .”
The role of prefrontal cortex in cognitive control and executive function (2021, background): “Moreover, the extent to which brain network connectivity changes in response to cognitive demands is associated with better performance on different CC tasks [154, 155], suggesting that task-based neural flexibility may facilitate Common CC through adaptive control [156].”
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, background): “…memory with increasing load or compared to rest (Kitzbichler et al., 2011; Gordon et al., 2012; Cohen et al., 2014; Liang et al., 2016) and that increased integration is related to increased behavioral performance (Bassett et al., 2009; Cohen et al., 2014; Stanley et al., 2014; Braun et al., 2015).”
Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024, methodology): “In order to study redundancy-and synergy-dominated interactions, we used formal definitions from Partial Information Decomposition (PID; Williams and Beer, 2010; Wibral et al., 2017; Lizier et al., 2018).”
Task‐specific topology of brain networks supporting working memory and inhibition (2024, background): “This specificity of individual networks also extends to transitions between states, such as from the resting state to cognitive task conditions (Braun et al., 2015; Gonzalez-Castillo et al., 2015).”