Coherent spontaneous activity identifies a hippocampal-parietal memory network.
By Justin L. Vincent, Abraham Z. Snyder, Michael D. Fox, Benjamin J. Shannon, Jessica R. Andrews, Marcus E. Raichle, Randy L. Buckner. Journal of Neurophysiology, 2006
1,019 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/a05a671781d027ff7482de36495bf97a785bbec4
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In Cognitive Neuroscience
- Olaf Sporns
- Randy L. Buckner
- Vinod Menon
- Jessica R. Andrews-Hanna
- R. Nathan Spreng
- Michael P. Milham
- F. X. Castellanos
- Xi-Nian Zuo
Citations in the corpus
- Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire (2008, background): “When subjects are not actively engaged in goal-directed mental activity, spontaneous brain activity has been suggested not to simply represent ‘‘noise’’, but rather implicate spontaneous and transient processes involved in task-unrelated imagery and thought [1–9].”
- Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses (2014, result): “…results are consistent with prior reports in humans and animals that regions within the medial temporal subsystem functionally correlate at rest (Vincent et al., 2006; Kahn et al., 2008; Vincent et al., 2010; Nelson et al., 2010; Yeo et al., 2011; Libby et al., 2012) and are connected by…”
- Brain spontaneous functional connectivity and intelligence (2008, neutral): “…a variety of brain systems, such as the somatomotor (Biswal et al., 1995); visual (Lowe et al., 1998); language processing (Hampson et al., 2002); auditory (van de Ven et al., 2004); attention (Fox et al., 2006), memory (Vincent et al., 2006) and default mode networks (Greicius et al., 2003).”
- Brain imaging in Alzheimer disease. (2012, background): “2005b), and have clearly documented the organization of the brain into multiple largescale brain networks (Damoiseaux et al. 2006; Vincent et al. 2006).”
- Development of Large-Scale Functional Brain Networks in Children (2009, methodology): “This method detects interregional correlations in spontaneous blood oxygen level-dependent (BOLD) signal fluctuations [20,21], and has been used to investigate brain networks involved in motor [20], sensory [22], attention [23], salience and cognitive control [24], and memory [25,26] systems.”
- Disruption of large-scale brain systems in advanced aging. (2007, methodology): “All statistical tests on correlation coefficients Neur were performed on Fisher r-to-z transformed correlation coefficients, z(r), which are approximately normally distributed over the sample (Vincent et al., 2006).”
- Emerging concepts for the dynamical organization of resting-state activity in the brain (2010, neutral): “…the emergence of ‘brain noise’ and cognitive stability 63,64 , whereas in normal aging this intrinsic variability shows regional decreases that may impact behaviour 65 . fMRI studies have demonstrated that the state of the intrinsic activity predicts trial-to-trial cognitive function 66,67 .”
- Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network (2010, background): “Autobiographical memory and prospection, however, are associated with the hippocampal formation subsystem (Vincent et al., 2006).”
- DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI (2010, methodology): “FC is widely used in resting-state fMRI (Biswal et al., 1995; Lowe et al., 1998; Xiong et al., 1999; Cordes et al., 2000; Greicius et al., 2003; Fox et al., 2005, 2006; Fransson, 2005; Vincent et al., 2006).”
- Brain mediators of cardiovascular responses to social threat, Part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity (2009, methodology): “These included, for each participant, a) 6 estimated head movement parameters from realignment, their mean-zeroed squares, their derivatives, and squared derivatives; b) the whole-brain global signal time series (Vincent et al., 2006) (note that this is not the same as “global scaling” in SPM softwa”
- A default mode of brain function: A brief history of an evolving idea (2007, background): “Using these fluctuations to analyze the network as a whole (Fox et al., 2005; Vincent et al., 2006) reveals a level of functional organization (C) that parallels that seen in the task related activity decreases.”