The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Functional diversity of brain networks supports consciousness and verbal intelligence
Open accessPublished version of a preprint
Abstract
How are the myriad stimuli arriving at our senses transformed into conscious thought? To address this question, in a series of studies, we asked whether a common mechanism underlies loss of information processing in unconscious states across different conditions, which could shed light on the brain mechanisms of conscious cognition. With a novel approach, we brought together for the first time, data from the same paradigm—a highly engaging auditory-only narrative—in three independent domains: anesthesia-induced unconsciousness, unconsciousness after brain injury, and individual differences in intellectual abilities during conscious cognition. During external stimulation in the unconscious state, the functional differentiation between the auditory and fronto-parietal systems decreased significantly relatively to the conscious state. Conversely, we found that stronger functional differentiation between these systems in response to external stimulation predicted higher intellectual abilities during conscious cognition, in particular higher verbal acuity scores in independent cognitive testing battery. These convergent findings suggest that the responsivity of sensory and higher-order brain systems to external stimulation, especially through the diversification of their functional responses is an essential feature of conscious cognition and verbal intelligence.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Both CETSA and BiTSA are effective methods for assessing the thermal stability of ApoE isoforms and variants.
“In this study, we demonstrate that both CETSA 42 and the BiTSA 45 assay are effective methods for assessing the thermal stability of ApoE isoforms and variants.”
From Utilizing a cell culture based novel cellular thermal shift assay to understand the isoform-dependent thermal stability of ApoE variants (2026) · cites this paper as [45]
The cited paper’s Material and Methods sections describe propofol sedation and fMRI analysis, not assays of ApoE thermal stability. Searches for CETSA, BiTSA, and ApoE in our full-text copy found no passage addressing the claim. (LLM, conf=0.79)
Experimental — accuracy not yet measuredIn BiTSA, the complemented NanoLuc luciferase produces a luminescent signal proportional to the amount of soluble, properly folded ApoE.
“Upon cell lysis in the presence of LgBiT, the complemented NanoLuc luciferase produces a luminescent signal proportional to the amount of soluble, properly folded ApoE.”
From Utilizing a cell culture based novel cellular thermal shift assay to understand the isoform-dependent thermal stability of ApoE variants (2026) · cites this paper as [45]
The Materials and Methods section on fMRI Acquisition and Analysis describes brain imaging and functional connectivity, not a protein assay. Searches for BiTSA, NanoLuc, LgBiT, and soluble ApoE found no passage addressing the claimed luminescent signal. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573
Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338
The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour
Duncan, J. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.004 · Cited by 1,846
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L. J.-F., Bruno, M.-A., Boveroux, P., Schnakers, C., Soddu, A., Perlbarg, V., Ledoux, D., Brichant, J.-F., et al. (2010) · Brain · doi:10.1093/brain/awp313 · Cited by 911
SAUSENG, P., KLIMESCH, W., SCHABUS, M., & DOPPELMAYR, M. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.03.018 · Cited by 814
The neural correlate of (un)awareness: lessons from the vegetative state
Laureys, S. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.10.010 · Cited by 813
Signature of consciousness in the dynamics of resting-state brain activity
Barttfeld, P., Uhrig, L., Sitt, J. D., Sigman, M., Jarraya, B., & Dehaene, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418031112 · Cited by 670
Boveroux, P., Vanhaudenhuyse, A., Bruno, M.-A., Noirhomme, Q., Lauwick, S., Luxen, A., Degueldre, C., Plenevaux, A., Schnakers, C., Phillips, C., et al. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181f697f5 · Cited by 630
Ptak, R. (2012) · The Neuroscientist · doi:10.1177/1073858411409051 · Cited by 597
Stratification of unresponsive patients by an independently validated index of brain complexity
Casarotto, S., Comanducci, A., Rosanova, M., Sarasso, S., Fecchio, M., Napolitani, M., Pigorini, A., G. Casali, A., Trimarchi, P. D., Boly, M., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24779 · Cited by 487
Consciousness and the Binding Problem
SINGER, W. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05712.x · Cited by 367
Network neuroscience theory of human intelligence
Barbey, A. K. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.001 · Cited by 355
Fractionating Attentional Control Using Event-Related fMRI
Hampshire, A., & Owen, A. M. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj116 · Cited by 329
Self-citationJordan, D., Ilg, R., Riedl, V., Schorer, A., Grimberg, S., Neufang, S., Omerovic, A., Berger, S., Untergehrer, G., Preibisch, C., et al. (2013) · Anesthesiology · doi:10.1097/aln.0b013e3182a7ca92 · Cited by 180
Flagged first, then by citations
Research works printed but not linked: 72
- Dehaene, S., Changeux, J., Naccache, L., Sackur, J. & Sergent, C. Conscious, preconscious, and subliminal processing: a testable taxonomy. Trends In Cognitive Sciences 10, 204–211 (2006). · DOI · Paper page
- Dehaene, S., Charles, L., King, J. R. & Marti, S. Toward a computational theory of conscious processing. Curr. Opin. Neurobiol. 25, 76–84 (2014). · DOI · Paper page
- MacDonald, A., Naci, L., MacDonald, P. & Owen, A. M. Anesthesia and neuroimaging: Investigating the neural correlates of unconsciousness. TICS 19(2), 100–107 (2015).
- Dueck, M. H. et al. Propofol attenuates responses of the auditory cortex to acoustic stimulation in a dose-dependent manner: A FMRI study. Acta Anaesthesiol. Scand. 49, 784–791 (2005). · DOI
- Kerssens, C. et al. Attenuated brain response to auditory word stimulation with sevoflurane: a functional magnetic resonance imaging study in humans. Anesthesiology 103, 11–19 (2005). · DOI
- Veselis, R. A. et al. Thiopental and propofol affect different regions of the brain at similar pharmacologic effects. Anesth. Analg. 99, 399–408 (2004).
- Plourde, G. et al. Cortical processing of complex auditory stimuli during alterations of consciousness with the general anesthetic propofol. Anesthesiology 104, 448–457 (2006). · DOI
- Liu, X. et al. Propofol disrupts functional interactions between sensory and high-order processing of auditory verbal memory. Hum. Brain Mapp. 33, 2487–2498 (2012). · DOI
- Heinke, W. et al. Sequential effects of propofol on functional brain activation induced by auditory language processing: an eventrelated functional magnetic resonance imaging study. Br. J. Anaesth. 92, 641–650 (2004). · DOI
- Adapa, R. M. et al. Neural correlates of successful semantic processing during propofol sedation. Hum. Brain Mapp. 35, 2935–2949 (2014). · DOI
- Davis, M. H. et al. Dissociating speech perception and comprehension at reduced levels of awareness. Proc. Natl. Acad. Sci. USA 104, 16032–16037 (2007). · DOI
- The Multi-Society Task Force on PVS. Medical aspects of the persistent vegetative state. New England Journal of Medicine 330, 1499–1508 (1994). · DOI
- Giacino, J. T. et al. The minimally conscious state: Definition and diagnostic criteria. Neurology 58(3), 349–353 (2002). · DOI · Paper page
- Schnakers, C. et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurology 9(1), 35 (2009). · DOI
- Kondziella, D., Friberg, C. K., Frokjaer, V. G., Fabricius, M. & Møller, K. Preserved consciousness in vegetative and minimal conscious states: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry, jnnp-2015. · DOI
- Cruse, D. et al. Bedside detection of awareness in the vegetative state: a cohort study. The Lancet 378(9809), 2088–2094 (2012). · DOI
- Monti, M. M. et al. Willful modulation of brain activity in disorders of consciousness. N. Engl. J. Med. 362, 579–589 (2010). · DOI
- Bodien, Y. G., Giacino, J. T. & Edlow, B. L. Functional MRI Motor Imagery Tasks to Detect Command Following in Traumatic Disorders of Consciousness. Frontiers in Neurology 8, 688 (2017). · DOI
- Gibson, R. M. et al. Somatosensory attention identifies both overt and covert awareness in disorders of consciousness. Annals of Neurology, In Press, https://doi.org/10.1002/ana.24726 (2016). · DOI
- Naci, L. & Owen, A. M. Making every word count for nonresponsive patients. JAMA Neurol. 70, 1235–41 (2013).
- Chennu, S. et al. Dissociable endogenous and exogenous attention in disorders of consciousness. Neuroimage Clin. 3, 450–61 (2013). · DOI
- Fernández-Espejo, D. & Owen, A. M. Detecting awareness after severe brain injury. Nat. Rev. Neurosci. 14, 801–9 (2013). · DOI
- Bardin, J. C. et al. Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury. Brain 134, 769–82 (2011). · DOI
- Owen, A. M. et al. Detecting Awareness in the Vegetative State. Science. 313, 1402–1402 (2006). · DOI · Paper page
- Schiff, N. D. Altered consciousness. In: Winn R, ed. Youmans and Winn’s Neurological Surgery. 7th ed. New York, NY: Elsevier Saunders. In press (2016).
- Naci, L., Cusack, R., Jia, V. Z. & Owen, A. M. The brain’s silent messenger: using selective attention to decode human thought for brain-based communication. The Journal of Neuroscience 33(22), 9385–9393 (2013). · DOI
- Haugg, A. et al. Do patients thought to lack consciousness retain the capacity for internal as well external awareness? Frontiers in Neurology. In Press (2018). · DOI
- Naci, L., Sinai, L. & Owen, A. M. Detecting and interpreting conscious experiences in behaviorally non-responsive patients. Neuroimage 145(Pt B), 304–313 (2017). · DOI · Paper page
- Sinai, L., Owen, A. M. & Naci, L. Mapping preserved real-world cognition in brain-injured patients. Frontiers in Bioscience. 22, 815–823 (2017). · DOI
- Naci, L., Cusack, R., Anello, M. & Owen, A. M. A common neural code for similar conscious experiences in different individuals. Proc. Natl. Acad. Sci. USA 111, 14277–82 (2014). · DOI
- Fischer, D. B. et al. A human brain network derived from coma-causing brainstem lesions. Neurology 87(23), 2427–2434 (2016). · DOI
- Demertzi, A. et al. Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients. Brain. 138(Pt 9), 2619–31 (2015). · DOI
- Demertzi, A. et al. Multiple fMRI system-level baseline connectivity is disrupted in patients with consciousness alterations. 52, 35–46 (2014). · DOI
- Soddu, A. et al. Resting state activity in patients with disorders of consciousness. Funct Neurol. 26(1), 37–43 (2011).
- Soddu, A. et al. Reaching across the abyss: recent advances in functional magnetic resonance imaging and their potential relevance to disorders of consciousness. Prog Brain Res. 177, 261–74 (2009). · DOI
- Boly, M. et al. Functional connectivity in the default network during resting state is preserved in a vegetative but not in a brain dead patient. Hum Brain Mapp. 30(8), 2393–400 (2009). · DOI
- Elliot, R. Executive functions and their disorders. Br Med Bull 65, 49–59 (2003). · DOI · Paper page
- Shallice, T. From neuropsychology to mental structure (Cambridge University Press, 1988). · DOI · Paper page
- Woolgar, A. et al. Fluid intelligence loss linked to restricted regions of damage within frontal and parietal cortex. Proc. Natl. Acad. Sci. USA 107, 14899–14902 (2010). · DOI
- Barbey, A. K. et al. An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain 135, 1154–1164 (2012). · DOI
- Tononi, G., Boly, M., Massimini, M. & Koch, C. Integrated information theory: from consciousness to its physical substrate. Nat rev Neurosci 17, 450–61 (2016). · DOI · Paper page
- Alkire, M. T., Hudetz, A. G. & Tononi, G. Consciousness and anesthesia. Science 322, 876–880 (2008). · DOI · Paper page
- Hampshire, A., Highfield, R. R., Parkin, B. L. & Owen, A. M. Fractionating Human Intelligence. Neuron 76, 1225–1237 (2012). · DOI · Paper page
- Stamatakis, E. A., Adapa, R. M., Absalom, A. R. & Menon, D. K. Changes in resting neural connectivity during propofol sedation. PloS one 5(12), e14224 (2010). · DOI
- Sarasso, S. et al. Consciousness and Complexity during Unresponsiveness Induced by Propofol, Xenon, and Ketamine. Curr Biol. 25, 3099–105 (2015). · DOI · Paper page
- Casali, A. G. et al. A theoretically based index of consciousness independent of sensory processing and behavior. Sci Transl Med. 15(198), 198ra105 (2013).
- Massimini, M., Ferrarelli, F., Sarasso, S. & Tononi, G. Cortical mechanisms of loss of consciousness: insight from TMS/EEG studies. Arch Ital Biol. 150(2–3), 44–55 (2012).
- Wilf, M. et al. Diminished Auditory Responses during NREM Sleep Correlate with the Hierarchy of Language Processing. PLoS One. 11(6), e0157143 (2016). · DOI
- Strauss, M. et al. Disruption of hierarchical predictive coding during sleep. Proc Natl Acad Sci USA 112(11), E1353–62 (2015). · DOI · Paper page
- Pigorini, A. et al. Bistability breaks-off deterministic responses to intracortical stimulation during non-REM sleep. Neuroimage. 112, 105–13 (2015). · DOI · Paper page
- Greicius, M. D. et al. Persistent default-mode network connectivity during light sedation. Hum. Brain Mapp. 29, 839–847 (2008). · DOI
- Martuzzi, R., Ramani, R., Qiu, M., Rajeevan, N. & Constable, R. T. Functional connectivity and alterations in baseline brain state in humans. Neuroimage 49, 823–834 (2010). · DOI
- Boly, M. et al. Connectivity Changes Underlying Spectral EEG Changes during Propofol-Induced Loss of Consciousness. Journal of Neuroscience 32, 7082–7090 (2012). · DOI
- Brown, E. N., Lydic, R. & Schiff, N. D. General anesthesia, sleep, and coma. N Engl J Med. 363(27), 2638–50 (2010). · DOI
- Ku, S. W., Lee, U., Noh, G. J., Jun, I. G. & Mashour, G. A. Preferential Inhibition of Frontal-to-Parietal Feedback Connectivity Is a Neurophysiologic Correlate of General Anesthesia in Surgical Patients. PLoS ONE 6, e25155 (2011). · DOI
- Thibaut, A. et al. Metabolic activity in external and internal awareness networks in severely brain-damaged patients. J. Rehabil. Med. 44, 487–944 (2012). · DOI
- Laureys, S. et al. Brain function in the vegetative state. Adv. Exp. Med. Biol. 550, 229–238 (2004). · DOI
- Seth, A. K., Izhikevich, E., Reeke, G. N. & Edelman, G. M. Theories and measures of consciousness: an extended framework. Proc Natl Acad Sci USA 103(28), 10799–804 (2011). · DOI
- Corbetta, M. & Shulman, G. L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215 (2002). · DOI · Paper page
- Kroger, J. K. et al. Recruitment of anterior dorsolateral prefrontal cortex in human reasoning: a parametric study of relational complexity. Cerebral cortex 12(5), 477–485 (2002). · DOI
- Hearne, L. J., Mattingley, J. B. & Cocchi, L. Functional brain networks related to individual differences in human intelligence at rest. Sci Rep. 6, 32328 (2016). · DOI
- Cusack, R., Veldsman, M., Naci, L., Mitchell, D. J. & Linke, A. Seeing different objects in different ways: measuring ventral visual tuning to sensory and semantic features with dynamically adaptive imaging. Hum Brain Mapp 33(2), 387–397 (2012). · DOI
- Ramsay, M., Savage, T., Simpson, B. & Goodwin, R. Controlled sedation with alphaxalone-alphadolone. Br. Med. J. 2(5920), 656–9 (1974).
- Marsh, B. M., White, M., Morton, N. & Kenny, G. N. Pharmacokinetic model driven infusion of propofol in children. British journal of anaesthesia 67(1), 41–48 (1991). · DOI
- Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59(3), 2142–2154 (2012). · DOI · Paper page
- Giacino, J. T., Kalmar, K. & Whyte, J. The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Archives of physical medicine and rehabilitation 85(12), 2020–2029 (2004). · DOI
- Schnakers, C. et al. Cognitive function in the locked-in syndrome. J. Neurol. 255, 323–30 (2008). · DOI
- Cusack, R. et al. Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in neuroinformatics 8, 90 (2015). · DOI
- Anderson, J. S. et al. Network anticorrelations, global regression, and phase‐shifted soft tissue correction. Human brain mapping 32(6), 919–934 (2011). · DOI
- Raichle, M. E. The Restless Brain. Brain Connect. 1, 3–12 (2011). · DOI · Paper page
- Smith, S. M. et al. Network modelling methods for FMRI. Neuroimage 54, 875–891 (2011). · DOI · Paper page
- Ramsey, J. D. et al. Six problems for causal inference from fMRI. Neuroimage 49, 545–1558 (2010). · DOI · Paper page
Cited by
Sorted by citations
Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients
Vlisides, P. E., Li, D., Zierau, M., Lapointe, A. P., Ip, K. I., McKinney, A. M., & Mashour, G. A. (2019) · Anesthesiology · doi:10.1097/aln.0000000000002677 · Cited by 66
Fogel, S., Ray, L., Fang, Z., Silverbrook, M., Naci, L., & Owen, A. M. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103306 · Cited by 14
Self-citationJackson, R. J., Dierksmeier, S., Nishtar, M., Meltzer, J., Balduin, F., Beaumont, B., Fan, Z., Sergienko, E., Olson, S., Jackson, M. R., et al. (2026) · doi:10.64898/2026.06.09.730809
Metadata
- Authors
- Naci, L., Haugg, A., MacDonald, A., Anello, M., Houldin, E., Naqshbandi, S., Gonzalez-Lara, L. E., Arango, M., Harle, C., Cusack, R., & Owen, A. M.
- Affiliations
- University of Zurich (CH)
- University of Toronto (CA)
- Western University (CA)
- Trinity College Dublin (IE)
- Venue
- Scientific Reports
- Published
- 2018-09-05
- Volume
- 8
- Issue
- 1
- Pages
- 13259-13259
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6125486
- OpenAlex
- W2952717102
- Cited by
- 66
- References
- 16
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 15 · 2023: 8 · 2022: 14 · 2021: 9 · 2020: 8 · 2019: 4
- FWCI
- 3.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Scholarship@Western (Western University) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
- Funders
- L'Oreal USA
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Keywords
- consciousness, verbal intelligence, brain networks, functional differentiation, loss of consciousness, anesthesia, brain injury, sensory processing, individual differences
- MeSH terms
- Adult, Anesthesia, Auditory Cortex, Brain, Consciousness, Female, Frontal Lobe, Humans, Intelligence, Male, Middle Aged, Parietal Lobe, Unconsciousness, Young Adult, Connectome
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