Learning sculpts the spontaneous activity of the resting human brain

By C. Lewis, A. Baldassarre, G. Committeri, Gian Luca Romani, Maurizio Corbetta. Proceedings of the National Academy of Sciences of the United States of America, 2009

835 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/80330694851c2f91180cc8acb943c04626105dfa

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In Cognitive Neuroscience

Citations in the corpus

Dynamic functional connectivity: Promise, issues, and interpretations (2013, background): “, 2007), learning (Albert et al., 2009; Bassett et al., 2011; Lewis et al., 2009; Tambini et al., 2010), and large state transitions such as sleep (Horovitz et al.”
Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture (2014, background): “However, reconfigurations can be directly induced by changing the behavioural task or behavioural context [14–39].”
Large-scale cortical correlation structure of spontaneous oscillatory activity (2012, methodology): “888 VOLUME 15 | NUMBER 6 | JUNE 2012 nature neurOSCIenCe The pattern of connectivity at 16 Hz differed between the LPC, MPFC, DPFC and TMPC.”
Clinical applications of the functional connectome (2013, positive): “Also suggestive of validity have been reports of changes in the functional connectome following learning in healthy volunteers (Albert et al., 2009; Lewis et al., 2009; Ma et al., 2011; Taubert et al., 2011).”
Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data (2011, background): “…that the strength of interregional functional connectivity is dynamic in time (from seconds to minutes) and frequency domains [18] and can be modulated by the levels of current conscious awareness [19,20,21,22], emotional state [23] and cognitive demand prior to resting-state scanning [24,25,26].”
On spurious and real fluctuations of dynamic functional connectivity during rest (2015, positive): “FC has revealed reorganization of brain networks during cognitive tasks (Ekman et al., 2012; Lewis et al., 2009; Richiardi et al., 2011, 2013; Shirer et al., 2012), but also at rest (Allen et al., 2014; Chang and Glover, 2010; Hutchison et al., 2013b; Kang et al., 2011; Leonardi et al., 2013;…”
Functional system and areal organization of a highly sampled individual human brain (2015, background): “Alternatively, numerous studies have demonstrated speciﬁc effects of different cognitive and behavioral contexts on resting-state activity (e.g., Gordon et al., 2014a; Lewis et al., 2009; Tambini et al., 2010).”
The Restless Brain (2011, positive): “Fourth, the strength of coherence between nodes within systems varies with age (Fair et al., 2007, 2008), experience (Bartels and Zeki, 2005; Jiang et al., 2004; Lewis et al., 2009; Sun et al., 2007), and disease (Zhang and Raichle, 2010).”
Inter-Individual Differences in Resting State Functional Connectivity Predict Task-Induced BOLD Activity (2010, background): “Modulations in RSFC were found after learning (Albert et al., 2009; Lewis et al., 2009; Xiong et al., 2009), in relation to specific task demands (Barnes et al.”
Plasticity of Brain Networks in a Randomized Intervention Trial of Exercise Training in Older Adults (2010, neutral): “This permits a view of the brain’s intrinsic functional architecture, which is shaped continually by our experiences (Albert et al., 2009; Lewis et al., 2009) and in turn shapes how we perceive and interact with the world (Seeley et al.”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “Previous findings (Bassett et al., 2011; Lewis et al., 2009) suggest training has measurable, but subtle, influences.”
Impact of Mindfulness-Based Stress Reduction Training on Intrinsic Brain Connectivity (2011, background): “Comparison to training-related connectivity studies Previous studies of training-related changes in intrinsic connectivity have demonstrated that, in general, brain networks recruited during training show robust changes in intrinsic connectivity (Albert et al., 2009; Lewis et al., 2009).”
Elevated functional connectivity along a corticostriatal loop and the mechanism of auditory/verbal hallucinations in patients with schizophrenia. (2011, background): “First, intensive learning can enhance inter-region FC (68).”
Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS) (2012, methodology): “Examining resting state fcMRI before and after tasks can circumvent this confound, an approach that has been used to document modulation of resting state functional connectivity by learning tasks (Albert et al., 2009; Lewis et al., 2009; Tambini et al., 2010).”
Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data (2010, positive): “The existence and strength of two-way interactions between task and ‘RSN’ activity has been linked to adaptive learning (Albert et al., 2009; Lewis et al., 2009), response to or recovery from high cognitive load (Pyka et al., 2009; Van Dijk et al., 2010), and individual differences in (Fox et al.,…”