Consistent resting-state networks across healthy subjects

By Jessica S. Damoiseaux, Serge A. R. B. Rombouts, Frederik Barkhof, Philip Scheltens, Cornelis J. Stam, Stephen M. Smith, Christian F. Beckmann. Proceedings of the National Academy of Sciences of the United States of America, 2006

4,391 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/22f0978729e2c6b93fe6762bbac979736d027ca5

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Citations in the corpus

Time-frequency dynamics of resting-state brain connectivity measured with fMRI (2009, positive): “…these " resting-state networks " tend to comprise regions that are coactivated during tasks and are observed with consistency across subjects and scanning sessions (Damoiseaux et al., 2006; De Luca et al., 2006; Shehzad et al., 2009), suggesting a general principle of functional organization.”
Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. (2010, background): “…shown the ability of resting state functional magnetic resonance imaging (fMRI) to identify structured patterns of functional connectivity among defined neuroanatomical systems reliably, including the DMN (Cavanna and Trimble, 2006; Damoiseaux et al., 2006; Cavanna, 2007; Shehzad et al., 2009).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “ICA maps reproducibly reveal early visual, early auditory, and primary sensory/motor components, as well as other components comprising distributed portions of the frontal, parietal, and temporal association cortices (Damoiseaux et al., 2006).”
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. (2009, positive): “More recently there has been a growing interest in resting state functional connectivity because it appears that in particular memory-related brain networks are consistently activated during this state (Gusnard and Raichle, 2001; Laufs et al., 2003; Damoiseaux et al., 2006).”
Emerging concepts for the dynamical organization of resting-state activity in the brain (2010, positive): “A more sophisticated study of resting-state patterns identified at least seven other independent networks of correlated activity that were robust across subjects 22 .”
Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition (2010, positive): “The frontoparietal control network, composed of rostrolateral prefrontal cortex (RLPFC), middle frontal gyrus (MFG), anterior insula/frontal operculum (aIfO), dorsal anterior cingulate cortex (dACC), precuneus (PCu), and anterior inferior parietal lobule (aIPL), is anatomically interposed between th”
Prediction of human errors by maladaptive changes in event-related brain networks (2008, methodology): “The DMN is consistently extracted with other data-driven analysis techniques such as independent component analysis (ICA) of fMRI data recorded during relaxed resting (22), discrete sensory stimulation (23), continuous natural stimulation (24), and task performance (25).”
Differentiating BOLD and Non-BOLD Signals in fMRI Time Series Using Multi-Echo EPI (2011, background): “4d shows that the maps corresponding to the high κ scores appear to be similar to previously identified resting state network components (Damoiseaux et al., 2006b).”
Disease state prediction from resting state functional connectivity (2009, background): “Resting-state functional connectivity (FC) exists in a variety of known brain networks (1,5) and is consistent across subjects (6,7).”
Whole Brain Resting-State Analysis Reveals Decreased Functional Connectivity in Major Depression (2010, positive): “In addition, these so-called resting-state networks (RSNs) are found consistently across participants and over time (Damoiseaux et al., 2006; Shehzad et al., 2009) and show a remarkable overlap with patterns of task-induced activity (Smith et al.”
Selective aberrant functional connectivity of resting state networks in social anxiety disorder (2010, methodology): “Functional connectivity investigations documented that intrinsic brain activity in the resting state is spatially organized in a set of specific coherent patterns (Beckmann et al., 2005; Damoiseaux et al., 2006; 2008; De Luca et al., 2006; Jafri et al., 2008; Liao et al., 2010; Mantini et al., 2007)”
Salience network integrity predicts default mode network function after traumatic brain injury (2012, background): “(A) The resulting probabilistic tractography tracts are shown for the connections between the rAI and the preSMA/dACC (dark blue) (1), the precu/PCC and vmPFC bilaterally (red) (2), the rIFG and the preSMA (light blue) (3), the rIFG and the right TPJ (rTPJ) (green; 4) and the rFEF and rIPS (lilac/pi”
Competition between functional brain networks mediates behavioral variability (2008, methodology): “Furthermore, their striking spatial correspondence to known functional systems (Biswal et al., 1995; Damoiseaux et al., 2006; Fox et al., 2006a; Margulies et al., 2007) suggests that they reflect functionally relevant, albeit ultra-low-frequency, communications among neurons (Buzsaki, 2006; Leopold…”
Decoding subject-driven cognitive states with whole-brain connectivity patterns. (2012, methodology): “Of the 30 components generated, 14 were selected visually as being ICNs based on previous reports by our group and others (Greicius et al. 2003; Fox et al. 2005; Damoiseaux et al. 2006; Seeley et al. 2007; Kiviniemi et al. 2009; Smith et al. 2009).”