2013
DOI: 10.1016/j.neuroimage.2012.12.073
|View full text |Cite
|
Sign up to set email alerts
|

Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

14
94
1

Year Published

2013
2013
2021
2021

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 94 publications
(109 citation statements)
references
References 67 publications
14
94
1
Order By: Relevance
“…Reorganisation of modules was observed in N2 and N3, and modularity decreased immediately after participants were awoken (Tagliazucchi et al, 2013b). Spoormaker and colleagues (2010) also examined modularity in their study and reported an increase in local clustering in SWS, in line with the previously discussed studies (Tagliazucchi et al, 2013b). Taken together, these findings suggest that during deep NREM sleep, functional integration in the cortex is reduced.…”
Section: Brain Network Modularitysupporting
confidence: 59%
“…Reorganisation of modules was observed in N2 and N3, and modularity decreased immediately after participants were awoken (Tagliazucchi et al, 2013b). Spoormaker and colleagues (2010) also examined modularity in their study and reported an increase in local clustering in SWS, in line with the previously discussed studies (Tagliazucchi et al, 2013b). Taken together, these findings suggest that during deep NREM sleep, functional integration in the cortex is reduced.…”
Section: Brain Network Modularitysupporting
confidence: 59%
“…Since our data reveal that this lower connectivity is found locally rather than over anterior and posterior electrodes, it may be interpreted as a decrease in local connectivity. Because SWS is characterized by high local connectivity, [21][22][23][24] our findings prior to episode onset likely reflect a transition towards wakefulness or, at the very least, a lighter sleep stage. While results in the delta band show decreased connectivity in posterior areas, a completely different portrait was observed in higher frequency bands, where posterior regions show increased connectivity over a wide antero-posterior bilateral network.…”
Section: Eeg Functional Connectivity As a Marker Of Imminent Shift Tomentioning
confidence: 89%
“…20 Testing the hypothesis that impaired consciousness during NREM sleep is associated with increased modularity in brain activity, fMRI studies have shown that NREM sleep is characterized by a decrease of large-scale networks and increase of smaller independent modules as reflected by high clustering ratios and low inter-modular connectivity. [21][22][23][24] Using transcranial magnetic stimulation (TMS) and high density (HD) EEG to assess how a TMS pulse delivered to the premotor cortex propagates in the brain during both sleep and wakefulness, Massimini and colleagues 25 found that when compared to a wakefulness propagated response, the response during NREM sleep (as recorded with HD-EEG) was stronger but extinguished more rapidly and did not propagate beyond the stimulation site. Thus, the fading of consciousness observed during deeper sleep stages may be related to a breakdown in long-range cortical connectivity.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, the default mode network (DMN; a set of task-deactivated regions implied with internal conscious cognitive processes) (9, 10) was repeatedly observed during deep sleep, albeit with reduced frontal connectivity (11,12). Although brain modules are preserved, even in the absence of conscious awareness, their functional integration is greatly impaired (8,13,14), which was predicted by an information integration account of consciousness (15). These results suggest that ongoing conscious mentation is not the only origin of RSN activity, whereas the level of consciousness is reflected in the interaction of functional networks.…”
mentioning
confidence: 99%