Decoding subject-driven cognitive states with whole-brain connectivity patterns.

By William R. Shirer, Srikanth Ryali, Elena I. Rykhlevskaia, Vinod Menon, Michael D. Greicius. Cerebral Cortex, 2012

1,872 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/09019b44017db3121fdeaef93af397cc25e877b5

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In Cognitive Neuroscience

Citations in the corpus

Default Mode Network Mechanisms of Transcranial Magnetic Stimulation in Depression (2014, methodology): “Our DLPFC seed, which was predicted to lie within the stimulation field (Supplement 1), is adjacent to the CEN, as defined in a prior report, but not within it (20); however, activity in Brodmann area (BA) 46 is highly correlated with activity throughout the CEN and plays a critical role in cognitiv”
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI (2019, neutral): “The striking similarities found by comparing the spatial distributions of large-scale networks specific to self-reported thoughts and those initiated by experimental tasks (Andrews-Hanna et al., 2010b; Axelrod et al., 2017; Delamillieure et al., 2010; Shirer et al., 2012), contribute to the wide deb”
EEG correlates of time-varying BOLD functional connectivity (2013, neutral): “apparent connectivity modulation reflects neural phenomena such as conscious mental activity (Shirer et al., 2012), transient activation events (Petridou et al.”
A Correspondence between Individual Differences in the Brain's Intrinsic Functional Architecture and the Content and Form of Self-Generated Thoughts (2014, background): “a relationship between mental processes and neural fluctuations by modulating the internal state [4–6], the relationship to naturally”
Abnormal intrinsic brain functional network dynamics in Parkinson’s disease (2017, methodology): “Using spatial correlation values between independent components and the template (Shirer et al., 2012), we sorted the selected 44 independent components into seven functional networks: basal ganglia (BG), auditory (AUD), sensorimotor (SMN), visual (VIS), cognitive executive (CEN), default mode…”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “, 2013a), and respond to different cognitive demands (Betti et al., 2013; Cole et al., 2014; Gratton et al., 2016; Krienen et al., 2014; Shine et al., 2016; Shirer et al., 2012).”
Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. (2012, methodology): “Functionally defined regions of interest have recently been suggested in whole-brain connectivity analysis (Shirer et al., 2012).”
On the interpretation of weight vectors of linear models in multivariate neuroimaging (2014, background): “Generally, the data may be composed of any features derived from the original measurements through linear or nonlinear processing, and may even comprise higher-order interaction measures between physical sensors, as in Shirer et al. (2012).”
The salience network is responsible for switching between the default mode network and the central executive network: Replication from DCM (2014, methodology): “Using ICA to extract representative networks has beendonepreviously and been found to provide better representations of networks than taking the average or first eigenvariate of a large template (Craddock et al., 2012; Shirer et al., 2012; Smith et al., 2011; Yu et al., 2012).”
On spurious and real fluctuations of dynamic functional connectivity during rest (2015, neutral): “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;…”
Dynamic functional connectivity of the default mode network tracks daydreaming (2014, methodology): “However, network FC strength may vary for different cognitive states (Shirer et al., 2012) and consciousness levels (Vanhaudenhuyse et al.”