Resting State Networks and Consciousness
Open accessAbstract
In order to better understand the functional contribution of resting state activity to conscious cognition, we aimed to review increases and decreases in functional magnetic resonance imaging (fMRI) functional connectivity under physiological (sleep), pharmacological (anesthesia), and pathological altered states of consciousness, such as brain death, coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state. The reviewed resting state networks were the DMN, left and right executive control, salience, sensorimotor, auditory, and visual networks. We highlight some methodological issues concerning resting state analyses in severely injured brains mainly in terms of hypothesis-driven seed-based correlation analysis and data-driven independent components analysis approaches. Finally, we attempt to contextualize our discussion within theoretical frameworks of conscious processes. We think that this "lesion" approach allows us to better determine the necessary conditions under which normal conscious cognition takes place. At the clinical level, we acknowledge the technical merits of the resting state paradigm. Indeed, fast and easy acquisitions are preferable to activation paradigms in clinical populations. Finally, we emphasize the need to validate the diagnostic and prognostic value of fMRI resting state measurements in non-communicating brain damaged patients.
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Key differences have been found in corticocortical and thalamocortical connectivity between conscious and unconscious states.
“but key differences have been found in corticocortical (Heine et al., 2012; Horovitz et al., 2009; Spoormaker et al., 2010) and thalamocortical (Spoormaker et al., 2010) connectivity.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Heine et al., 2012
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Neural correlates of consciousness: what we know and what we have to learn!
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Kirsch, M., Guldenmund, P., Bahri, M. A., Athena Demertzi, A., Baquero, K., Heine, L., Charland‐Verville, V., Vanhaudenhuyse, A., Bruno, M., Gosseries, O., et al. (2016) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000001721 · Cited by 48 · see citing works
Self-citationKoch, K., Reeß, T. J., Rus, O. G., Gürsel, D. A., Wagner, G., Berberich, G., & Zimmer, C. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00254 · Cited by 45 · see citing works
Disruption of cortical integration during midazolam‐induced light sedation
Liang, P., Zhang, H., Xu, Y.-C., Jia, W., Zang, Y., & Li, K. (2015) · Human Brain Mapping · doi:10.1002/hbm.22914 · Cited by 45 · see citing works
Functional Connectivity Substrates for tDCS Response in Minimally Conscious State Patients
Cavaliere, C., Aiello, M., Perri, C. D., Amico, E., Martial, C., Thibaut, A., Laureys, S., & Soddu, A. (2016) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2016.00257 · Cited by 44 · see citing works
Self-citationA stochastic basis for neural inertia in emergence from general anaesthesia
Proekt, A., & Hudson, A. E. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.02.035 · Cited by 43 · see citing works
An Echo of Consciousness: Brain Function During Preferred Music
Carrière, M., Larroque, S. K., Martial, C., Bahri, M. A., Aubinet, C., Perrin, F., Laureys, S., & Heine, L. (2020) · Brain Connectivity · doi:10.1089/brain.2020.0744 · Cited by 44 · see citing works
Self-citationResting-State Functional Connectivity in the Infant Brain: Methods, Pitfalls, and Potentiality
Mongerson, C. R., Jennings, R. W., Borsook, D., Becerra, L. R., & Bajic, D. (2017) · Frontiers in Pediatrics · doi:10.3389/fped.2017.00159 · Cited by 42 · see citing works
Matsunaga, M., Isowa, T., Yamakawa, K., & Ohira, H. (2013) · Psychology of Well-Being Theory Research and Practice · doi:10.1186/2211-1522-3-5 · Cited by 41 · see citing works
Hypnosis modulates behavioural measures and subjective ratings about external and internal awareness
Athena Demertzi, A., Vanhaudenhuyse, A., Noirhomme, Q., Faymonville, M.-É., & Laureys, S. (2015) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2015.11.002 · Cited by 42 · see citing works
Self-citationDimitriadis, S. I., Laskaris, N., Simos, P. G., Fletcher, J. M., & Papanicolaou, A. C. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00163 · Cited by 41 · see citing works
Campbell, J. M., Huang, Z., Zhang, J., Wu, X., Qin, P., Northoff, G., Mashour, G. A., & Hudetz, A. G. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116316 · Cited by 41 · see citing works
Qiu, M., Scheinost, D., Ramani, R., & Constable, R. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.080 · Cited by 36 · see citing works
Gracia-Tabuenca, Z., Moreno, M. B., Barrios, F. A., & Alcauter, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.051 · Cited by 40 · see citing works
Alnagger, N., Cardone, P., Martial, C., Laureys, S., Annen, J., & Gosseries, O. (2023) · Presse medicale · doi:10.1016/j.lpm.2022.104163 · Cited by 31 · see citing works
Self-citationIntrinsic Resting-State Functional Connectivity in the Human Spinal Cord at 3.0 T
Nateras, O. S. E., Fang, Y., Muir, E. R., Bazan, C., Franklin, C. G., Li, W., Li, J., Lancaster, J. L., & Duong, T. Q. (2015) · Radiology · doi:10.1148/radiol.2015150768 · Cited by 39 · see citing works
Clinical subcategorization of minimally conscious state according to resting functional connectivity
Aubinet, C., Larroque, S. K., Heine, L., Martial, C., Majerus, S., Laureys, S., & Perri, C. D. (2018) · Human Brain Mapping · doi:10.1002/hbm.24303 · Cited by 38 · see citing works
Self-citationMa, X., Zhuo, Z., Wei, L., Ma, Z., Li, Z., & Li, J. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.11.025 · Cited by 38 · see citing works
Functional networks in prolonged disorders of consciousness
Li, H., Zhang, X., Sun, X., Dong, L., Lu, H., Yue, S., & Zhang, H. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1113695 · Cited by 38 · see citing works
Functional dissociation within insular cortex: The effect of pre-stimulus anxiety on pain
Lin, C., Hsieh, J., Yeh, T., Lee, S., & Niddam, D. M. (2012) · Brain Research · doi:10.1016/j.brainres.2012.11.035 · Cited by 38 · see citing works
Optimizing methods for linking cinematic features to fMRI data
Kauttonen, J., Hlushchuk, Y., & Tikka, P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.063 · Cited by 39 · see citing works
van’t Westeinde, A., Karlsson, L., Thomsen Sandberg, M., Nordenström, A., Padilla, N., & Lajic, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz274 · Cited by 37 · see citing works
Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory
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Self-citationChiang, S., Guindani, M., Yeh, H. J., Haneef, Z., Stern, J. M., & Vannucci, M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23456 · Cited by 36 · see citing works
Decoding the circuitry of consciousness: From local microcircuits to brain-scale networks
Modolo, J., Hassan, M., Wendling, F., & Benquet, P. (2020) · Network Neuroscience · doi:10.1162/netn_a_00119 · Cited by 37 · see citing works
Integrating sleep, neuroimaging, and computational approaches for precision psychiatry
Goldstein‐Piekarski, A. N., Holt-Gosselin, B., O’Hora, K., & Williams, L. M. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0483-8 · Cited by 38 · see citing works
Ketamine as a Novel Psychopharmacotherapy for Eating Disorders: Evidence and Future Directions
Ragnhildstveit, A., Slayton, M., Jackson, L. K., Brendle, M., Ahuja, S., Holle, W., Moore, C., Sollars, K., Seli, P., & Robison, R. (2022) · Brain Sciences · doi:10.3390/brainsci12030382 · Cited by 35 · see citing works
Coma and Disorders of Consciousness
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Self-citationOut of control: An altered parieto-occipital-cerebellar network for impulsivity in bipolar disorder
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Toward Composite Pain Biomarkers of Neuropathic Pain—Focus on Peripheral Neuropathic Pain
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Looking for the Self in Pathological Unconsciousness
Athena Demertzi, A., Vanhaudenhuyse, A., Brédart, S., Heine, L., Perri, C. D., & Laureys, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00538 · Cited by 34 · see citing works
Self-citationLeft frontoparietal network activity is modulated by drug stimuli in cocaine addiction
Costumero, V., Rosell‐Negre, P., Bustamante, J. C., Fuentes‐Claramonte, P., Llopis, J. J., Ávila, C., & Barrós‐Loscertales, A. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9799-3 · Cited by 33 · see citing works
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- Authors
- Heine, L., Soddu, A., Gómez, F., Vanhaudenhuyse, A., Tshibanda, L., Thonnard, M., Charland-Verville, V., Kirsch, M., Laureys, S., & Demertzi, A.
- Affiliations
- University of Liège (BE)
- ORCID
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 3
- Pages
- 295-295
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC3427917
- OpenAlex
- W1596614913
- Cited by
- 272
- References
- 107
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 15 · 2023: 17 · 2022: 13 · 2021: 19 · 2020: 24 · 2019: 22 · 2018: 24 · 2017: 27 · 2016: 19 · 2015: 35 · 2014: 18 · 2013: 23 · 2012: 4
- FWCI
- 12.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ORBi (University of Liège) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- James S. McDonnell Foundation
- Mind Science Foundation
- European Commission
- Fonds De La Recherche Scientifique - FNRS
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state networks, consciousness, altered states of consciousness, default mode network, frontoparietal network, salience network, sensorimotor network, anesthesia, sleep, brain death, coma, vegetative state, minimally conscious state, seed-based correlation analysis, independent component analysis, functional MRI, brain injury, prognostic value
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