The sleeping cerebellum

CB Canto, Y Onuki, B Bruinsma, YD van der Werf… - Trends in …, 2017 - cell.com
We sleep almost one-third of our lives and sleep plays an important role in critical brain
functions like memory formation and consolidation. The role of sleep in cerebellar …

Functional imaging of seizures and epilepsy: evolution from zones to networks

H Laufs - Current opinion in neurology, 2012 - journals.lww.com
The appreciation of epileptic processes at the network level will foster the development of
both anticonvulsive as well as true antiepileptic treatment strategies locally modulating hub …

Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep

E Tagliazucchi, H Laufs - Neuron, 2014 - cell.com
The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Tracking brain arousal fluctuations with fMRI

C Chang, DA Leopold, ML Schölvinck… - Proceedings of the …, 2016 - National Acad Sciences
Changes in brain activity accompanying shifts in vigilance and arousal can interfere with the
study of other intrinsic and task-evoked characteristics of brain function. However, the …

Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

ABA Stevner, D Vidaurre, J Cabral, K Rapuano… - Nature …, 2019 - nature.com
The modern understanding of sleep is based on the classification of sleep into stages
defined by their electroencephalography (EEG) signatures, but the underlying brain …

EEG microstates of wakefulness and NREM sleep

V Brodbeck, A Kuhn, F von Wegner, A Morzelewski… - Neuroimage, 2012 - Elsevier
EEG-microstates exploit spatio-temporal EEG features to characterize the spontaneous EEG
as a sequence of a finite number of quasi-stable scalp potential field maps. So far, EEG …

Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep

E Tagliazucchi, F von Wegner… - Proceedings of the …, 2013 - National Acad Sciences
The integration of segregated brain functional modules is a prerequisite for conscious
awareness during wakeful rest. Here, we test the hypothesis that temporal integration …

Increased stability and breakdown of brain effective connectivity during slow-wave sleep: mechanistic insights from whole-brain computational modelling

BM Jobst, R Hindriks, H Laufs, E Tagliazucchi… - Scientific reports, 2017 - nature.com
Recent research has found that the human sleep cycle is characterised by changes in
spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation …

fMRI spectral signatures of sleep

C Song, M Boly, E Tagliazucchi… - Proceedings of the …, 2022 - National Acad Sciences
Sleep can be distinguished from wake by changes in brain electrical activity, typically
assessed using electroencephalography (EEG). The hallmark of nonrapid-eye-movement …

Sympathetic activity contributes to the fMRI signal

PS Özbay, C Chang, D Picchioni, H Mandelkow… - Communications …, 2019 - nature.com
The interpretation of functional magnetic resonance imaging (fMRI) studies of brain activity is
often hampered by the presence of brain-wide signal variations that may arise from a variety …