Cited by 23Functional Brain Connectivity StudiesAnesthesia and Sedative AgentsAnesthesia and Neurotoxicity Research

Fine-Grained parcellation of brain connectivity improves differentiation of states of consciousness during graded propofol sedation

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Liu, Xiaolin, Lauer, Kathryn K., Ward, B. Douglas, Roberts, Christopher J., Liu, Suyan, Gollapudy, Suneeta, Rohloff, Robert, Gross, William +5 more·2017·Brain Connectivity

Abstract

Conscious perception relies on interactions between spatially and functionally distinct modules of the brain at various spatiotemporal scales. These interactions are altered by anesthesia, an intervention that leads to fading consciousness. Relatively little is known about brain functional connectivity and its anesthetic modulation at a fine spatial scale. Here, we used functional imaging to examine propofol-induced changes in functional connectivity in brain networks defined at a fine-grained parcellation based on a combination of anatomical and functional features. Fifteen healthy volunteers underwent resting-state functional imaging in wakeful baseline, mild sedation, deep sedation, and recovery of consciousness. Compared with wakeful baseline, propofol produced widespread, dose-dependent functional connectivity changes that scaled with the extent to which consciousness was altered. The dominant changes in connectivity were associated with the frontal lobes. By examining node pairs that demonstrated a trend of functional connectivity change between wakefulness and deep sedation, quadratic discriminant analysis differentiated the states of consciousness in individual participants more accurately at a fine-grained parcellation (e.g., 2000 nodes) than at a coarse-grained parcellation (e.g., 116 anatomical nodes). Our study suggests that defining brain networks at a high granularity may provide a superior imaging-based distinction of the graded effect of anesthesia on consciousness.

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Crossref · 10.1089/brain.2016.0477

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  • A fine-scale white matter parcellation (over 2000 parcels) can be beneficial for machine learning and statistical analysis.

    “studies have suggested a fine scale white matter parcellation (over 2000 parcels) can be beneficial for machine learning and statistical analysis (Liu et al., 2017; Zhang et al., 2018a) while a coarse scale parcellation (fewer than 200 parcels) can improve the connectome consistency across individuals (Osmanlıoğlu et al., 2020; Rodrigues et al., 2013).”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Liu et al., 2017

    The Discussion reports that finer-grained brain parcellation, at or approaching 2000 nodes, improved classification of consciousness states. The Methods describe statistical comparisons and classification, but specify a maximum of 2000 nodes, not over 2000. The paper describes anatomical-functional brain parcellation, not a white-matter parcellation. (LLM, conf=0.89)

    Experimental — accuracy not yet measured
  • Various parcellation scales have been applied in different studies, ranging from tens to millions of white matter parcels.

    “Various parcellation scales have been applied in different studies, ranging from tens to millions of white matter parcels (Besson et al., 2014; Liu et al., 2017; Osmanlıoğlu et al., 2020; Rodrigues et al., 2013; Zalesky et al., 2010; Zhang et al., 2018a).”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Liu et al., 2017

    The Materials and Methods section (page unavailable) reports parcellation at multiple scales, from 116 to 2,000 brain-network nodes. That supports the use of varying scales, but this paper does not establish the claimed range from tens to millions or describe those nodes as white matter parcels. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • fMRI shows functional disconnections of frontal-parietal networks during human general anesthesia induced by structurally and pharmacologically diverse agents including sevoflurane.

    “Based on fMRI, functional disconnections of frontal-parietal networks have been shown during general anesthesia in humans induced by structurally and pharmacologically diverse agents, including the volatile anesthetic sevoflurane [131, 139–141]”

    From The Biology of General Anesthesia from Paramecium to Primate (2019) · cites this paper as [141]

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Research works printed but not linked: 1

  1. [1]1. Agnati LF, Santarossa L, Genedani S, Canela EI, Leo G, Franco R, et al. 2004. On the nested hierarchical organization of CNS: basic characteristics of neuronal molecular organization. Cortical Dynamics LNCS 3146. Erdi P., Springer, Berlin:24–54 [[Google Scholar](https://scholar.google.com/scholar_lookup?title=Cortical%20Dynamics%20LNCS%203146&author=LF%20Agnati&author=L%20Santarossa&author=S%20Genedani&author=EI%20Canela&author=G%20Leo&publication_year=2004&)]

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Authors
Liu, X., Lauer, K. K., Ward, B. D., Roberts, C. J., Liu, S., Gollapudy, S., Rohloff, R., Gross, W., Xu, Z., Chen, G., Binder, J. R., Li, S.-J., & Hudetz, A. G.
Affiliations
  • Medical College of Wisconsin (US)
  • University of Michigan (US)
Corresponding author
  • Liu, Xiaolin
  • Hudetz, Anthony G.
Venue
Brain Connectivity
Published
2017-08
Volume
7
Issue
6
Pages
373-381
ISSN
  • 2158-0014 (ISSN-L)
  • 2158-0022
OpenAlex
W2617083618
Cited by
23
References
40
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2022: 4 · 2021: 2 · 2019: 5 · 2018: 6 · 2017: 1
FWCI
1.88
Type
journal article
Language
en
Open access
Locations
  • Brain Connectivity (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Institute of General Medical Sciences (T32GM089586, R01GM103894)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Sedative Agents
  • Life Sciences › Neuroscience › Developmental Neuroscience › Anesthesia and Neurotoxicity Research
Keywords
propofol, states of consciousness, functional connectivity, anesthesia, frontal lobe, resting-state networks, quadratic discriminant analysis, consciousness recovery
MeSH terms
Adult, Brain, Consciousness, Female, Humans, Hypnotics and Sedatives, Magnetic Resonance Imaging, Male, Neural Pathways, Rest, ROC Curve, Unconsciousness, Propofol, Young Adult, Connectome

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