Correspondence of the brain's functional architecture during activation and rest

By Stephen M. Smith, Peter T. Fox, Karla L. Miller, David C. Glahn, Clare E. Mackay, Nicola Filippini, Kate E. Watkins, Roberto Toro, Angela R. Laird, Christian F. Beckmann. 2009

5,306 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

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Citations in the corpus

Health, USA Reviewed by: (2010, positive): “…networks, conserved across spontaneous fluctuations in primate networks (Vincent et al., 2007); humans with impaired consciousness (Boly et al., 2008; Greicius et al., 2008); and during rest in awake humans (Beckmann et al., 2005; Damoiseaux et al., 2006; Fox and Raichle, 2007; Smith et al., 2009).”
The Human Thalamus Is an Integrative Hub for Functional Brain Networks (2016, background): “Each of these networks is potentially involved in executing a discrete set of cognitive functions (Bertolero et al., 2015; Smith et al., 2009).”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, result): “Patterns of FC observed at rest have also been shown to resemble those elicited by more traditional task-based paradigms or derived directly from task-data (Biswal et al., 1995; Calhoun et al., 2008; Fox et al., 2006; Laird et al., 2011; Smith et al., 2009; Vincent et al., 2007).”
Methods for cleaning the BOLD fMRI signal (2016, positive): “It is certainly possible that voxels belonging to the same functional network during rest are also functionally connected during the execution of a task (Biswal et al., 1995; Smith et al., 2009); they might exhibit a BOLD response to the task, although not sufficiently significant in statistical ter”
Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture (2014, background): “(c) Implications for interpreting the relationship between coupling and coactivation Correspondence has been observed between network topography obtained from resting-state functional connectivity and task-induced activations measured across a range of cognitive domains ([71–73], but see [30]).”
Tracking whole-brain connectivity dynamics in the resting state. (2014, positive): “2011), and also shows that these networks are not conditional upon a task-free resting state but are equally involved in task performance (Calhoun et al. 2008; Smith et al. 2009).”
Brain network dynamics are hierarchically organized in time (2017, background): “It is also known that many of the networks of activity found in the resting brain are also observed in tasks (4).”
The Conscious Id (2013, background): “It is well known that the PFC is functionally heterogeneous (e.g., Beckmann, DeLuca, Devlin, & Smith, 2005; Catani et al., 2012; Smith et al., 2009).”
Network centrality in the human functional connectome. (2012, neutral): “(Smith et al. 2009).”
The role of the posterior cingulate cortex in cognition and disease. (2014, background): “Functional MRI studies have repeatedly shown relative deactivation during many types of cognitively demanding tasks, such as a visual discrimination task (Singh and Fawcett, 2008).”
Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks (2015, neutral): “In particular, for two overlapping iCAPs, DMN (8) occurs with anterior salience (11), visual (4), auditory (1) but with opposite signs, and attention (2) overlaps with visual (3) with opposite signs (see Supplementary Fig.”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “However, onemight have predicted that individual differences in network architecture would map onto individual differences in task activations (e.g., as shown in Gordon et al., 2017c; Smith et al., 2009; Tavor et al., 2016), and, thereby, task activations would also exhibit robust individual differe”
Data sharing in neuroimaging research (2012, methodology): “For example, Smith and colleagues (Toro et al., 2008; Smith et al., 2009) used BrainMap to perform an independent component analysis of thousands of activation maps and compared the resulting components to those extracted from resting-state MRI data.”