Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest

By Helmut Laufs, K. Krakow, Philipp Sterzer, Evelyn Eger, A. Beyerle, A. Salek-Haddadi, Andreas Kleinschmidt. Proceedings of the National Academy of Sciences of the United States of America, 2003

1,054 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/2afc76177b0e89af39c0fe787eb4f22bb737396d

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In Cognitive Neuroscience

Citations in the corpus

Fast transient networks in spontaneous human brain activity (2014, background): “Recent studies using these modalities have revealed that these networks have an electrophysiological basis (Laufs et al., 2003; He et al., 2008; Jann et al., 2010; Liu et al., 2010; Brookes et al., 2011), and are underpinned by much richer spatiotemporal dynamics that may be better characterized usi”
Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. (2008, neutral): “Spontaneous fluctuations in brain activity occur along well-defined neural networks (Goldman et al. 2002; Leopold and Logothetis 2003; Laufs et al. 2003, 2006; Beckmann et al. 2005; Damoiseaux et al. 2006) suggesting that fluctuations in neuronal activity must have a functional significance, and…”
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, background): “This is supported by investigations of alpha BOLD correlates and ICA decomposed fMRI data pointing to similar networks (Laufs et al., 2003b; Mantini et al., 2007b).”
Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks (2010, background): “…of those experiments, in line with electrophysiological animal studies, identified thalamic BOLD activity to be positively and occipital–parietal areas to be inversely correlated with alpha oscillations (Goldman et al., 2002; Moosmann et al., 2003; Laufs et al. 2003a,b; De Munck et al., 2007).”
Default-mode brain dysfunction in mental disorders: a systematic review. (2009, methodology): “…deactivations in PCC, precuneus, tempo parietal and dorsomedial prefrontal cortex (Laufs et al., 2003b view of the lack of association between alpha and resting s brain activity, Laufs et al. (2003b) hypothesise that alpha may in dysfunction in mental disorders: A systematic review.”
Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation (2004, background): “This endeavor will be helped along by novel approaches, such as combined fMRI and EEG which was recently used to show that default-mode activity correlates positively with beta rhythms in the electroencephalogram (Laufs et al., 2003).”
REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “…reductions in the integrity of large-scale intrinsic networks (Carhart-Harris et al., 2016c), as well as the relative collapse of prominent oscillatory rhythms in the brain (Carhart-Harris et al., 2016c) that have been linked to these high-level networks (Laufs et al., 2003; Mantini et al., 2007).”
Spatiotemporal dynamics of the brain at rest - Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks (2012, background): “The EEG power in the alpha (8–13 Hz) or beta (13–30 Hz) frequency band was correlated with the spontaneous BOLD signal in brain regions that partially overlap with some RSNs, particularly in the visual/parietal cortex (Goldman et al., 2002; Laufs et al., 2003; Moosmann et al., 2003; Sadaghiani et al”
Unrest at rest: Default activity and spontaneous network correlations (2007, background): “a correlated manner, including within the default network (De Luca et al., 2002; Laufs et al., 2003; Greicius et al., 2003, 2004).”
Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009, methodology): “…et al., 2009), diffusion imaging (Damoiseaux and Greicius, 2009), maps of anatomical connectivity derived using retrograde tracers in macaques (Vincent et al., 2007; Margulies et al., 2009) and electrophysiology either on the scalp (Laufs et al., 2003) or on the cortex (Shmuel and Leopold, 2008).”
Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data (2010, positive): “Some groups have acquired simultaneous FMRI and electroencephalography (EEG) resting data, and report evidence of associations between RSN network activity and specifi c power profi les imaging.”
Abnormal intrinsic brain functional network dynamics in Parkinson’s disease (2017, background): “The observed increased expression of between-network functional connectivity showed some resemblance to the excessive neural synchronization across distributed cortical areas (described in the beta band oscillatory activity) (Laufs et al., 2003; Mantini et al., 2007), reported to be associated with ”
Temporal dynamics of spontaneous MEG activity in brain networks (2010, result): “It also confirms an association betweenDAN topography and alpha power fluctuations previously reported in simultaneous EEG-fMRI studies (27, 28).”
The Neuropsychological Connection Between Creativity and Meditation (2009, background): “Conversely, increased alpha power (synchronization) is linked to deactivation of cortical structures involved in attention related to goal-directed cognition and behavior (Laufs, Kleinschmidt, et al, 2003a ; Laufs, Krakow, et al, 2003b ).”
Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. (2007, background): “Support for this hypothesis comes from correlations between BOLD activity and fluctuations in the band limited power of EEG (Laufs et al., 2003, 2006).”