Electrophysiological signatures of resting state networks in the human brain

By Dante Mantini, M. G. Perrucci, C. Gratta, Gian Luca Romani, Maurizio Corbetta. Proceedings of the National Academy of Sciences of the United States of America, 2007

1,953 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/6f8fdff905cf6b4cc1ba1511399b8b297cc38db9

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In Cognitive Neuroscience

Citations in the corpus

Microstates in Resting-State EEG: Current Status and Future Directions (2014, background): “Specifically, Britz et al. (2010) showed that microstate A, B, C, and D corresponded to RSNs previously identified as associated with phonological processing, the visual network, the saliency network, and attention, respectively (Mantini et al., 2007, Britz et al., 2010).”
Fast transient networks in spontaneous human brain activity (2014, background): “While the correspondence between BOLD and electrophysiological activity has yet to be fully understood, it has been shown that alpha and beta power at rest correlate positively with BOLD in the DMN and negatively with BOLD in the DAN (Mantini et al., 2007).”
Multilayer Analysis and Visualization of Networks (2014, background): “Network representations focus on connectivity, and they have now become a paradigmatic way to investigate the organization and functionality of cells [20, 22, 36, 40, 42, 43, 55, 63, 66, 71], synaptic connectivity [6, 16, 17, 54, 59, 60, 64, 68, 69, 72], and more.”
Abnormal intrinsic brain functional network dynamics in Parkinson’s disease (2017, background): “…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 motor impairment in Parkinson’s disease (Brown, 2003; Silberstein et al., 2005; Stoffers et…”
Progress in Brain Computer Interface: Challenges and Opportunities (2019, background): “In addition, the baselines of RSNs are dynamic and modify any cortical signature instantaneously [35].”
Role of local network oscillations in resting-state functional connectivity (2011, background): “Across voxels from distinct anatomical regions, the BOLD signal was found to be functionally connected, leading to the identification of robust large- scale resting-state networks (RSNs) (Beckmann et al., 2005; Damoiseaux et al., 2006; Mantini et al., 2007).”
A dual-networks architecture of top-down control. (2008, background): “The different controlling variables often affect the overall state of the system through distinct mechanisms that operate on separable temporal scales [5,6].”
Key role of coupling, delay, and noise in resting brain fluctuations (2009, background): “Furthermore, by considering simple 40-Hz fast oscillations at the single-node dynamics, we are able to investigate the link between fast local dynamics and slow global fluctuations (10, 11).”
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, methodology): “Another interesting aspect of our results is the localization of the areas showing an overlap of GFS BOLD correlates and RSNs (Figs.”
Investigating the electrophysiological basis of resting state networks using magnetoencephalography (2011, methodology): “Schoffelen JM, Gross J (2009) Source connectivity analysis with MEG and EEG. Hum Brain Mapp 30:1857–1865.”
Spectrally resolved fast transient brain states in electrophysiological data (2016, neutral): “The brain is able to coordinate neural oscillations across multiple brain areas in both rest and task (Buzsaki and Draguhn, 2004), (Mantini et al., 2007), (Fries, 2005), (Schnitzler and Gross, 2005).”
The Resting Human Brain and Motor Learning (2009, background): “The role of this resting state activity, evident as low-frequency fluctuations of BOLD (see [1] for review, [2– 4]) or electrical [5, 6] signals, is unclear.”
Lost in thoughts: Neural markers of low alertness during mind wandering (2011, background): “Studies coupling both EEG and fMRI found that the activity in different EEG frequency bands is spontaneously fluctuating at rest and can be correlated to spontaneous fluctuations of the BOLD signal (Laufs, Holt et al. 2006; Mantini, Perrucci et al. 2007).”
Experimental and theoretical approaches to conscious processing. (2011, background): “…networks also figure prominently among the distributed networks of coactive areas that can be isolated during spontaneous brain activity in the absence of an explicit task goal (Beckmann et al., 2005; Fox et al., 2006; Greicius et al., 2003; Mantini et al., 2007; Vincent et al., 2008).”