Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance

Havas, Jack De; Parimal, Sarayu; Soon, Chun Siong; Chee, Michael W.L.

doi:10.1016/j.neuroimage.2011.08.026

Cited by 315 publications

(301 citation statements)

References 56 publications

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“…5 C and D) condition. Although it does not reach statistical significance, which might be due to the small sample size, this tendency is in line with previous studies (21,22). More important, this comparison clarifies that the main effect of sleep deprivation on the functional connectivity of the DN is not to reduce DMN anticorrelations in these regions, but rather to promote their positive correlation to the DN.…”

Section: Significancesupporting

confidence: 84%

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Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans

Bosch

Rihm

Scheidegger

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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In many patients with major depressive disorder, sleep deprivation, or wake therapy, induces an immediate but often transient antidepressant response. It is known from brain imaging studies that changes in anterior cingulate and dorsolateral prefrontal cortex activity correlate with a relief of depression symptoms. Recently, resting-state functional magnetic resonance imaging revealed that brain network connectivity via the dorsal nexus (DN), a cortical area in the dorsomedial prefrontal cortex, is dramatically increased in depressed patients. To investigate whether an alteration in DN connectivity could provide a biomarker of therapy response and to determine brain mechanisms of action underlying sleep deprivations antidepressant effects, we examined its influence on resting state default mode network and DN connectivity in healthy humans. Our findings show that sleep deprivation reduced functional connectivity between posterior cingulate cortex and bilateral anterior cingulate cortex (Brodmann area 32), and enhanced connectivity between DN and distinct areas in right dorsolateral prefrontal cortex (Brodmann area 10). These findings are consistent with resolution of dysfunctional brain network connectivity changes observed in depression and suggest changes in prefrontal connectivity with the DN as a brain mechanism of antidepressant therapy action.

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Section: Significancesupporting

confidence: 84%

“…Recent studies in healthy subjects reported reduced functional connectivity within DMN and between DMN and CCN in the morning after total (21) and in the evening after partial sleep deprivation (22). However, brain network connectivity via the DN was not examined in these studies.…”

mentioning

confidence: 93%

Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans

Bosch

Rihm

Scheidegger

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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“…It is hypothesized that the attentional lapses characteristic of ADHD (e.g., reaction time variability; Tamm et al 2012) may be attributable to inadequate or decreased suppression of the default mode network during cognitive tasks (Broyd et al 2009;Castellanos et al 2005). Of note, altered coherence in the default mode network has been found in individuals with ADHD (Castellanos et al 2008;Fair et al 2010) and in sleep deprivation studies with non-ADHD youth (De Havas et al 2012;Gujar et al 2010), although we are unaware of any study that has integrated these two research areas. Does altered coherence in the default mode network contribute to the increased rates of sleep problems in samples of youth with ADHD?…”

Section: Example Biological Factorsmentioning

confidence: 99%

Advancing a Biopsychosocial and Contextual Model of Sleep in Adolescence: A Review and Introduction to the Special Issue

Becker

Langberg

Byars

2015

J Youth Adolescence

154

130

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Sleep problems in adolescence have been identified as an international public health issue. Over the past few decades, notable advances have been made in our understanding of the patterns and consequences of sleep in adolescence. Despite these important gains, there is much about the role of sleep in adolescence that remains to be understood. This Special Issue brings together studies that examine sleep as it specifically pertains to adolescent development and adjustment. In this introductory article, we argue for the importance of grounding the study of sleep and adolescence in developmental science and a developmental psychopathology framework. First, a review of the literature is used to outline a biopsychosocial and contextual model of sleep in adolescence. Second, attention-deficit/hyperactivity disorder (ADHD) is used as an exemplar of the proposed model given the pervasiveness of sleep problems among youth with ADHD and the likelihood that sleep problems and ADHD symptoms are interconnected in complex ways. Finally, a brief introduction to the empirical articles included in the Special Issue is provided, with particular attention given to how these articles fit within the proposed biopsychosocial and contextual model. Along with the framework proposed in this article, the studies included in this Special Issue advance the current literature and point to critical directions for future research.

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“…These FC changes involve decreased within-DMN and within-dorsal attention network (DAN) connectivity, as well as reduced anticorrelation between DMN and DAN (27)(28)(29)(30). In the present work, we sought to demonstrate that spontaneous FC fluctuations in sleep-deprived persons correspond to fluctuations in arousal that coincide with pronounced SEC.…”

mentioning

confidence: 95%

Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states

Wang

Ong

Patanaik

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

191

187

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Fluctuations in resting-state functional connectivity occur but their behavioral significance remains unclear, largely because correlating behavioral state with dynamic functional connectivity states (DCS) engages probes that disrupt the very behavioral state we seek to observe. Observing spontaneous eyelid closures following sleep deprivation permits nonintrusive arousal monitoring. During periods of low arousal dominated by eyelid closures, sliding-window correlation analysis uncovered a DCS associated with reduced withinnetwork functional connectivity of default mode and dorsal/ventral attention networks, as well as reduced anticorrelation between these networks. Conversely, during periods when participants' eyelids were wide open, a second DCS was associated with less decoupling between the visual network and higher-order cognitive networks that included dorsal/ventral attention and default mode networks. In subcortical structures, eyelid closures were associated with increased connectivity between the striatum and thalamus with the ventral attention network, and greater anticorrelation with the dorsal attention network. When applied to task-based fMRI data, these two DCS predicted interindividual differences in frequency of behavioral lapsing and intraindividual temporal fluctuations in response speed. These findings with participants who underwent a night of total sleep deprivation were replicated in an independent dataset involving partially sleep-deprived participants. Fluctuations in functional connectivity thus appear to be clearly associated with changes in arousal. T he existence of large-scale functional brain networks is evidenced by well-defined spatial patterns of correlated bloodoxygenation level-dependent (BOLD) signal fluctuation in fMRI data (1). Recent work has shown that functional connectivity (FC) within and between brain networks is dynamic, corresponding to the observation that even while we are performing a task, our mental focus fluctuates (2). Fluctuation of fMRI-based FC occurs over tens of seconds (3, 4) and exhibits different patterns across conscious and unconscious states (5, 6). Furthermore, just as interindividual differences in stationary FC relate to variation in human behavior and cognition (7-10), it seems likely that recurring patterns (11) of fluctuating FC have behavioral significance.Temporal fluctuations in FC can arise from conscious mental activity (12), episodes of random synchrony (3), or simply timevarying levels of physiological noise (13,14). The association between BOLD signal fluctuation in the default mode network (DMN) and mind-wandering episodes (15-17) has prompted investigations into the behavioral correlates of spontaneous resting-state FC fluctuations (11,18). Although these fluctuations in FC have been shown to correlate with several physiological markers, such as electroencephalogram (EEG) power, magnetoencephalography (MEG) power, and heart rate variability (19-21), their behavioral significance remains unclear.A key obstacle to elucidating clear FC...

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Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance

Cited by 315 publications

References 56 publications

Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans

Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans

Advancing a Biopsychosocial and Contextual Model of Sleep in Adolescence: A Review and Introduction to the Special Issue

Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states

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