Elsevier

NeuroImage

Volume 59, Issue 2, 16 January 2012, Pages 1745-1751
NeuroImage

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

https://doi.org/10.1016/j.neuroimage.2011.08.026Get rights and content

Abstract

Sleep deprivation (SD) can alter extrinsic, task-related fMRI signal involved in attention, memory and executive function. However, its effects on intrinsic low-frequency connectivity within the Default Mode Network (DMN) and its related anti-correlated network (ACN) have not been well characterized. We investigated the effect of SD on functional connectivity within the DMN, and on DMN-ACN anti-correlation, both during the resting state and during performance of a visual attention task (VAT). 26 healthy participants underwent fMRI twice: once after a normal night of sleep in rested wakefulness (RW) and once following approximately 24 h of total SD. A seed-based approach was used to examine pairwise correlations of low-frequency fMRI signal across different nodes in each state. SD was associated with significant selective reductions in DMN functional connectivity and DMN-ACN anti-correlation. This was congruent across resting state and VAT analyses, suggesting that SD induces a robust alteration in the intrinsic connectivity within and between these networks.

Highlights

► Sleep deprivation affects intrinsic functional connectivity. ► This is observed with both resting state and task data. ► Default Mode Network (DMN) connectivity is reduced. ► Anti-correlation between the DMN and its anti-correlated network is reduced.

Introduction

A single night of total sleep deprivation (SD) can result in behavioral deficits with accompanying alterations in neural activation patterns (Chee and Chuah, 2008, Goel et al., 2009). To date, the focus of most research has been on delineating the regional effects of SD on attention (Chee et al., 2008, Lim and Dinges, 2008, Tomasi et al., 2009), short-term memory (Chee and Chuah, 2007) and executive function (Nilsson et al., 2005). In contrast, far less is known about the effect of sleep deprivation on intrinsic low-frequency connectivity within the Default Mode Network (DMN) and its anti-correlated network (ACN).

The DMN is a network of brain regions that consistently deactivates in response to externally oriented tasks (Raichle et al., 2001, Shulman et al., 1997) and activates in response to numerous tasks involving internally oriented cognition (Bar, 2007, Binder et al., 2009, D'Argembeau et al., 2005, Hassabis and Maguire, 2007). The main DMN nodes—the posterior cingulate cortex (PCC), precuneus and retrosplenial cortex, the dorsal and ventral medial prefrontal cortex (MPFC), inferior parietal lobule (IPL), lateral temporal cortex (LTC), and hippocampal formation (Buckner et al., 2008)—show correlated low-frequency BOLD signal fluctuations, suggesting functional connectivity (Greicius et al., 2003).

Interestingly, these low-frequency signals are anti-correlated with several regions normally activated as a group by externally oriented tasks (Fox et al., 2005). This anti-correlated network (ACN) includes the frontal eye fields (FEF), intraparietal sulcus (IPS), middle temporal region (MT), supplementary motor area (SMA), inferior parietal lobule (also referred to as the temporoparietal junction (TPJ; Corbetta and Shulman, 2002), dorsolateral prefrontal cortex (DLPFC), and Insula (Fox et al., 2005). Switching between externally and internally oriented cognition is thought to be mediated via a competitive relationship between the ACN and DMN (Fox and Raichle, 2007, Fox et al., 2005).

Relevant to the current work, DMN connectivity and anti-correlation is diminished in many neurological and psychiatric disorders (Broyd et al., 2009, Buckner et al., 2008). Functional connectivity within the DMN is also diminished when healthy persons enter deep sleep (Horovitz et al., 2009). Both DMN functional connectivity and anti-correlation are reduced subsequent to general anesthesia (Boveroux et al., 2010, Deshpande et al., 2010), leading to the notion that diminished DMN connectivity and anti-correlation can index disrupted brain function in a variety of contexts. This motivated us to investigate if DMN connectivity and anti-correlation is altered in healthy persons undergoing a night of total SD, given the association of this state with aforementioned alterations in cognitive function.

Several SD studies evaluating short-term memory (Chee and Choo, 2004, Chee and Chuah, 2007, Choo et al., 2005) have revealed reduction in task-related deactivation across several nodes of the DMN. However, a recent study evaluating working memory reported reduced deactivation in the MPFC along with increased precuneus deactivation (Gujar et al., 2010), suggesting altered functional connectivity between DMN nodes during SD. Indeed, recent work involving partial SD reported such reductions in DMN functional connectivity, along with reduced anti-correlation between the DMN and ACN (Sämann et al., 2010).

Functional connectivity involving the DMN has typically been evaluated using resting state data, but data acquired while participants perform tasks has also been used (Fair et al., 2007, Fransson, 2006, Greicius et al., 2003, Greicius and Menon, 2004). One approach is to regress out task-related activity before evaluating DMN functional connectivity (Fair et al., 2007). Although some studies suggest that this approach generates results comparable to those obtained from resting state data (Arfanakis et al., 2000, Fair et al., 2007), others suggest otherwise (Esposito et al., 2006, Esposito et al., 2009, Fransson, 2006).

In the present study, we evaluated the effect of SD on functional connectivity within the DMN and anti-correlation between the DMN and ACN, both during resting state and while volunteers performed a visual attention task (VAT). This comparison is important in SD studies because sleepiness increases in the supine position (Caldwell et al., 2003) and is expected to be accentuated following sleep deprivation, particularly in the absence of task performance. As such, it might be useful to assess changes in network connectivity while a person is engaged in a task to reduce the likelihood of volunteers falling asleep.

Section snippets

Participants

Twenty-six healthy right-handed volunteers (11 male, 22.5 ± 2.0 years) participated in the experiment after giving informed consent. Participants were selected from respondents to a web-based questionnaire. They had to: (1) be right-handed, (2) be between 18 and 35 years of age, (3) have habitual good sleeping habits (sleeping no less than 6.5 h each night for the past one month), (4) not be of extreme morning or evening chronotype (score no greater than 22 on a modified Morningness–Eveningness

Behavioral findings

Sleep deprivation resulted in a decline in response accuracy (RW mean accuracy 89.4%, SD mean accuracy 77.8%; t25 = 5.15, p < 0.0001; Table 1). The number of behavioral lapses increased during SD relative to RW (12.5% vs. 2.8%; t25 = 5.65, p < 0.0001). SD resulted in slower responses (RTcorrect 687 ms vs. RTcorrect 632 ms; t25 = 3.38, p < 0.01) and increased intra-individual variability in response time (0.29 vs. 0.22; t25 = 4.78, p < 0.0001).

Reduced functional connectivity within DMN nodes: observed in both VAT and resting state analyses

Within the DMN, there was a main effect of state on the functional

Discussion

We found SD to be associated with reduced functional connectivity within the DMN and reduced anti-correlation between the DMN and ACN. This was true for both resting state and VAT analyses. Declines in DMN connectivity and anti-correlation consistently affected the IPL nodes. Despite inherent differences between resting state and VAT time series, there was no significant effect of data type or interaction between data type and state when comparing data of equivalent duration. However, analyzing

Conclusion

SD was associated with reduced DMN functional connectivity and DMN-ACN anti-correlation. This was true in the resting state and VAT analyses. The IPL node of the DMN was consistently impaired and may represent an early marker for the effects of SD, as well as an indicator of hitherto unexplored behavioural impairments. We demonstrated that task data could be used to show equivalent results to resting state when the volume of data was matched, supporting the notion that reduced deactivation

Acknowledgments

Grace Tang, Kavitha Dorairaj, Praneeth Namburi, Kong Danyang and Annette Chen contributed to gathering data. This work was supported by grants awarded to Dr Michael Chee from the Defense Science and Technology Agency Singapore (POD0713897) and the National Research Foundation Singapore (STaR Award).

References (61)

  • O. Felician et al.

    Where is your shoulder? Neural correlates of localizing others' body parts

    Neuropsychologia

    (2009)
  • M.D. Fox et al.

    Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior

    Neuron

    (2007)
  • P. Fransson

    How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations

    Neuropsychologia

    (2006)
  • G.E. Hagberg et al.

    Improved detection of event-related functional MRI signals using probability functions

    NeuroImage

    (2001)
  • D. Hassabis et al.

    Deconstructing episodic memory with construction

    Trends Cogn. Sci.

    (2007)
  • E.T. Kahn-Greene et al.

    Sleep deprivation adversely affects interpersonal responses to frustration

    Pers. Individ. Differ.

    (2006)
  • A.M.C. Kelly et al.

    Competition between functional brain networks mediates behavioral variability

    NeuroImage

    (2008)
  • C.-S.R. Li et al.

    Greater activation of the "default" brain regions predicts stop signal errors

    NeuroImage

    (2007)
  • J. Lim et al.

    Imaging brain fatigue from sustained mental workload: an ASL perfusion study of the time-on-task effect

    NeuroImage

    (2010)
  • M.J. Lowe et al.

    Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations

    NeuroImage

    (1998)
  • D. Navon

    Forest before trees: the precedence of global features in visual perception

    Cogn. Psychol.

    (1977)
  • G. Northoff et al.

    Rest-stimulus interaction in the brain: a review

    Trends Neurosci.

    (2010)
  • J.R. Binder et al.

    Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies

    Cereb. Cortex

    (2009)
  • P. Boveroux et al.

    Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness

    Anesthesiology

    (2010)
  • R.L. Buckner et al.

    The brain's default network: anatomy, function, and relevance to disease

    Ann. NY Acad. Sci.

    (2008)
  • G. Buzsáki et al.

    Neuronal oscillations in cortical networks

    Science

    (2004)
  • M.W.L. Chee et al.

    Functional imaging of working memory after 24 hr of total sleep deprivation

    J. Neurosci.

    (2004)
  • M.W.L. Chee et al.

    Functional neuroimaging and behavioral correlates of capacity decline in visual short-term memory after sleep deprivation

    Proc. Natl Acad. Sci. USA

    (2007)
  • M.W.L. Chee et al.

    Functional neuroimaging insights into how sleep and sleep deprivation affect memory and cognition

    Curr. Opin. Neurol.

    (2008)
  • M.W.L. Chee et al.

    Lapsing during sleep deprivation is associated with distributed changes in brain activation

    J. Neurosci.

    (2008)
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