The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Increased sleep pressure reduces resting state functional connectivity
Open accessAbstract
Object In humans, even a single night of partial sleep deprivation (PSD) can have a negative impact on cognition and affective processing, suggesting that sleep pressure represents a basic physiological constraint of brain function. Among the spontaneously fluctuating resting state networks, the default mode network (DMN) and its anticorrelated network (ACN) hold key functions in segregating internally and externally directed awareness. Task fMRI after sleep deprivation has revealed altered activation patterns in both networks. We hypothesized that effects of PSD in these intrinsically coupled networks can be detected by resting state fMRI.Methods We obtained 6-minute echoplanar imaging time series (1.5 Tesla) during eyes-closed, wakeful-resting experiments from 16 healthy volunteers after normal sleep and after PSD. We used independent component and cross-correlation analysis to study functional connectivity (fc), focusing on the DMN and ACN.Results After PSD, focal reductions of auto-correlation strength were detected in the posterior and anterior midline node of the DMN and in the lateral parietal and insular nodes of the ACN. Cross-correlation analysis confirmed reduced cortico-cortical connectivity within and between the DMN and ACN.Conclusions Increased sleep pressure is reflected in reduced fc of main DMN and ACN nodes during rest. Results have implications for understanding perceptual and cognitive changes after sleep deprivation and are relevant to clinical studies on conditions in which increased sleep propensity is present.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Both studies found that sleep deprivation reduced resting functional connectivity within the default mode network (DMN) and between DMN and its anticorrelated network”
From Circadian rhythms, sleep deprivation, and human performance (2013) · cites this paper as [253]
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Cited by
Sorted by citations
Items 101–157 of 157
Tabassum, S., Misrani, A., Tabassum, S., Ahmed, A., Yang, L., & Long, C. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.11.003 · Cited by 13
Alonso, J. F., Romero, S., Mañanas, M. Á., Alcalá, M., Antonijoan, R. M., & Giménez, S. (2016) · Sensors · doi:10.3390/s16040540 · Cited by 12
Guerrero, A. F., & Achermann, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00912 · Cited by 12
Waking EEG functional connectivity in middle-aged and older adults with obstructive sleep apnea
Fortin, M., Lina, J., Desjardins, M.-È., Gagnon, K., Baril, A., Carrier, J., & Gosselin, N. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.06.008 · Cited by 13
Sleep Loss Influences the Interconnected Brain-Body Regulation of Cardiovascular Function in Humans
Krause, A. J., Vallat, R., Simon, E. B., & Walker, M. P. (2022) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001150 · Cited by 11
Tian, Y., Xie, C., & Lei, X. (2022) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09772-0 · Cited by 11
Bidirectional Association Between Sleep and Brain Atrophy in Aging
Kokošová, V., Filip, P., Kec, D., & Baláž, M. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.726662 · Cited by 11
Haberg, A. K., Landrø, N. I., Borchgrevink, P. C., & Elvemo, N.-A. L. (2015) · Journal of Pain Research · doi:10.2147/jpr.s83486 · Cited by 8
Neuroimaging of attention and alteration of processing capacity in sleep-deprived persons
Chee, M. W. L., & Asplund, C. L. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.019 · Cited by 9
Yu, L., Chen, X., He, Y., Hong, X., & Yu, S. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70272 · Cited by 10
Resisting Sleep Pressure: Impact on Resting State Functional Network Connectivity
Tüshaus, L., Balsters, J. H., Schläpfer, A., Brandeis, D., Tuura, R., & Achermann, P. (2017) · Brain Topography · doi:10.1007/s10548-017-0575-x · Cited by 9
Rydzik, Ł., Ambroży, T., Pałka, T., Wąsacz, W., Spieszny, M., Perliński, J., Król, P., & Kopańska, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108882 · Cited by 8
Ma, M., Li, Y., Shao, Y., & Weng, X. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1204457 · Cited by 8
Secara, M. T., Oliver, L. D., Gallucci, J., Dickie, E. W., Foussias, G., Gold, J. M., Malhotra, A. K., Buchanan, R. W., Voineskos, A. N., & Hawco, C. S. (2023) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.110991 · Cited by 6
Resting state fMRI in pre-surgical brain mapping. Literature review
Смирнов, А. С., Sharaev, M., Melnikova-Pitskhelauri, T. V., Zhukov, V. Y., Bikanov, A. E., Sharova, E. V., Pogosbekyan, E. L., Turkin, A. M., Fadeeva, L. M., Pitskhelauri, D. V., et al. (2018) · Medical Visualization · doi:10.24835/1607-0763-2018-5-6-13 · Cited by 6
Wilson, R. S., Mayhew, S. D., Rollings, D. T., Goldstone, A., Hale, J. R., & Bagshaw, A. P. (2018) · Brain and Behavior · doi:10.1002/brb3.1172 · Cited by 6
Li, J., Li, A., Jiao, J., Hu, K., Jiang, Y., Hu, X., Wang, K., Chen, X., & Xie, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-09304-4 · Cited by 5
Neuroimaging of sleep disorders
Nofzinger, E. A., Maquet, P., & Thorpy, M. J. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.025 · Cited by 5
Imaging homeostatic sleep pressure and circadian rhythm in the human brain
Fang, Z., & Rao, H. (2017) · Journal of Thoracic Disease · doi:10.21037/jtd.2017.03.168 · Cited by 7
Wang, Y., Liu, Z., Zhou, Q., & Chen, X. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22419-6_35 · Cited by 5
Task-based and Resting State Functional MRI in Children
Maheshwari, M., Deshmukh, T. K., Leuthardt, E. C., & Shimony, J. S. (2021) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2021.06.005 · Cited by 4
Imaging the Sleep Deprived Brain: A Brief Review
Chee, M. W. L., MBBS, & (Edin), F. (2013) · Journal of Korean Sleep Research Society · doi:10.13078/jksrs.13001 · Cited by 4
Impact of sleep deprivation on dynamic functional connectivity states
Fasiello, E., Galbiati, A., & Ferini‐Strambi, L. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-323-90918-1.00012-5 · Cited by 3
In vivo MR imaging of brain networks: illusion or revolution?
Moser, E., & Ranjeva, J. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0231-x · Cited by 3
Klímová, M. (2014) · Journal of European Psychology Students · doi:10.5334/jeps.cj · Cited by 3
The role of sleep in the human brain and body: insights from multi-organ imaging geneticsPreprint
Fan, Z., Yang, Y., Guo, Y., Li, Y., Shu, J., Yang, X., Li, B., Lin, J., Wang, Q., Gibson, C., et al. (2022) · medRxiv · doi:10.1101/2022.09.08.22279719 · Cited by 3
EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving
Huang, K., Tseng, C.-Y., & Lin, C. (2024) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2024.3367496 · Cited by 2
Zhang, X.-H., Huang, H., Zeng, J.-Y., Chen, H., & Lin, Y. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106503 · Cited by 2
Methodology of combined EEG and fMRI
Laufs, H., & Krakow, K. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.012 · Cited by 2
Vulnerability to sleep deprivation : a drift diffusion model perspective
Patanaik, A. (2015) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/62905 · Cited by 2
The impact of sleep quality on resting-state functional connectivity
Sahara, Y., Yamada, M., Hirano, Y., Matsuyoshi, D., Nishimura, H., Aizawa, Y., Yahata, N., Kershaw, J., Kobashi, G., Shioda, K., et al. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106759 · Cited by 1
Neuroimaging, sleep loss, and circadian misalignment
Nofzinger, E. A., Maquet, P., & Thorpy, M. J. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.018 · Cited by 1
Chee, M. W. L., & Lee, S. M. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511783005.004 · Cited by 1
User Research Sleep and functional imaging
Czisch, M., Spoormaker, V. I., Andrade, K. C., Wehrle, R., Sämannn, P. G., & Planck, M. (2011) · Cited by 1
Resting State Functional MRI for Presurgical Planning
Shimony, J. S., Leuthardt, E. C., Dierker, D. L., Park, K.-Y., Hacker, C. D., & Snyder, A. Z. (2020) · Springer eBooks · doi:10.1007/978-3-030-41874-8_19 · Cited by 1
Grodd, W., & Beckmann, C. F. (2013) · Springer eBooks · doi:10.1007/978-3-642-29800-4_15 · Cited by 1
Computational Approaches to Attention
Cohen, R. A. (2013) · Springer eBooks · doi:10.1007/978-0-387-72639-7_27 · Cited by 1
Jin, S., Chen, H., Li, L., Liu, Y., Liu, P., Xie, A., & Liao, Y. (2024) · Sleep Medicine · doi:10.1016/j.sleep.2024.11.012 · Cited by 1
Teng, J., Ong, J. L., Patanaik, A., Tandi, J., Zhou, J. H., Chee, M. W. L., & Lim, J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/509745 · Cited by 1
Content and frequency of dream reports : psychological and neurophysiological correlates
Vallat, R. (2017) · theses.fr (ABES) · doi:10.70675/7c390b38z9260z414bzbabdz2b316eacbb17 · Cited by 1
Nofzinger, E. A., Maquet, P., & Thorpy, M. J. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.003
He, Y. (2015) · Journal of International Crisis and Risk Communication Research
Neuroimaging in Normal and Abnormal Sleep
Dang‐Vu, T. T., O’Byrne, J., Zhang, V., Arcelin, A., Schwartz, S., Peigneux, P., Maquet, P., & Desseilles, M. (2017) · Springer eBooks · doi:10.1007/978-1-4939-6578-6_21
Li, M. (2014) · Journal of International Crisis and Risk Communication Research
Presurgical Resting-State fMRI
Allen, M. G., Snyder, A. Z., Hacker, C. D., Mitchell, T. J., Leuthardt, E. C., & Shimony, J. S. (2014) · Medical radiology · doi:10.1007/978-3-662-45123-6_5
Review and Outlook the Habitual Short Sleepers
罗, 梓. (2018) · Advances in Psychology · doi:10.12677/ap.2018.87108
Krause, A. J., Vallat, R., Simon, E. B., & Walker, M. P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.27.441611
Towards an Embodied Account of Sleep Loss
Krause, A. J. (2021) · eScholarship (California Digital Library)
Presurgical Resting-State fMRI
Shimony, J. S., Lee, J. J., Seitzman, B. A., Luckett, P. H., & Leuthardt, E. C. (2021) · Medical radiology · doi:10.1007/978-3-030-83343-5_5
Czisch, M., & Wehrle, R. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_16 · Cited by 1
Functional neuroimaging of alerting medication effects
THOMAS, R. J. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088268.054
Leśniewska, A., Górska, U., Wyczesany, M., Hołda, M., Chojnacki, B., & Binder, M. (2026) · Biological Psychology · doi:10.1016/j.biopsycho.2026.109243 · Cited by 1
Energy‐Based Phase‐Locking State Analysis in Brain State Identification
Ye, C., Deng, Z., Cong, S., Ran, C., Gong, T., Huang, S., & Ma, T. (2026) · Human Brain Mapping · doi:10.1002/hbm.70558
A neural signature of sleep deprivation in the human brain
Wen, Z., Pace-Schott, E. F., Franzen, P. L., Cui, L., Zhang, K., Gao, S., Hong, L. E., Kochunov, P., Germain, A., & Milad, M. R. (2026) · Nature Communications · doi:10.1038/s41467-026-75661-x
Wu, Y., Wang, C., Ma, D., Xu, Z., & Ning, X.-L. (2026) · Clinical EEG and Neuroscience · doi:10.1177/15500594261477456
Basic Mechanisms: Cognitive Performance and Sleep
Wesensten, N. J. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511783005.003
Metadata
- Authors
- Sämann, P. G., Tully, C., Spoormaker, V. I., Wetter, T. C., Holsboer, F., Wehrle, R., & Czisch, M.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Sämann, Philipp G.
- Venue
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2010-05-15
- Volume
- 23
- Issue
- 5-6
- Pages
- 375-389
- ISSN
- 0968-5243 (ISSN-L)
- 1352-8661
- OpenAlex
- W2078833618
- Cited by
- 157
- References
- 67
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 9 · 2019: 12 · 2018: 14 · 2017: 13 · 2016: 6 · 2015: 20 · 2014: 11 · 2013: 22 · 2012: 6
- FWCI
- 6.77
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Magnetic Resonance Materials in Physics Biology and Medicine (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- sleep pressure, sleep restriction, resting-state functional connectivity, default mode network, corticocortical connections
- MeSH terms
- Attention, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Nerve Net, Neural Pathways, Reference Values, Rest, Sleep, Wakefulness, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review