Cited by 283Functional Brain Connectivity StudiesTraumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and Applications

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index; 1 of the 24 sources its claims cite were checked for support.

A human brain network derived from coma-causing brainstem lesions

Open access
Fischer, David B., Boes, Aaron D., Demertzi, Athena, Evrard, Henry C., Laureys, Steven, Edlow, Brian L., Liu, Hesheng, Saper, Clifford B., Pascual-Leone, Alvaro, Fox, Michael D., Geerling, Joel C.·2016·Neurology

Abstract

OBJECTIVE: To characterize a brainstem location specific to coma-causing lesions, and its functional connectivity network. METHODS: We compared 12 coma-causing brainstem lesions to 24 control brainstem lesions using voxel-based lesion-symptom mapping in a case-control design to identify a site significantly associated with coma. We next used resting-state functional connectivity from a healthy cohort to identify a network of regions functionally connected to this brainstem site. We further investigated the cortical regions of this network by comparing their spatial topography to that of known networks and by evaluating their functional connectivity in patients with disorders of consciousness. RESULTS: A small region in the rostral dorsolateral pontine tegmentum was significantly associated with coma-causing lesions. In healthy adults, this brainstem site was functionally connected to the ventral anterior insula (AI) and pregenual anterior cingulate cortex (pACC). These cortical areas aligned poorly with previously defined resting-state networks, better matching the distribution of von Economo neurons. Finally, connectivity between the AI and pACC was disrupted in patients with disorders of consciousness, and to a greater degree than other brain networks. CONCLUSIONS: Injury to a small region in the pontine tegmentum is significantly associated with coma. This brainstem site is functionally connected to 2 cortical regions, the AI and pACC, which become disconnected in disorders of consciousness. This network of brain regions may have a role in the maintenance of human consciousness.

Overview

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Written from the paper’s full text.

TL;DR

A case-control lesion analysis identified a 2-mm³ coma-specific region in the left rostral dorsolateral pontine tegmentum, near the medial parabrachial nucleus. In healthy adults this brainstem site was functionally connected to the anterior insula (AI) and pregenual anterior cingulate cortex (pACC), and AI–pACC connectivity was disrupted in patients with disorders of consciousness.

Key findings

  • Coma-causing lesions maximally overlapped in the pontine tegmentum (10 of 12 cases), whereas control lesions primarily involved the pontine base (11 of 24); voxel-based lesion-symptom mapping identified a 2-mm³ coma-specific region in the left pontine tegmentum, with 10 of 12 coma lesions but only the periphery of 1 of 24 control lesions involving it.
  • In 98 healthy right-handed participants (48 men, ages 22 ± 3.2 years), the coma-specific brainstem region was functionally connected to the left ventral AI and pACC; these nodes were more connected to coma lesions than control lesions (p < 0.05).
  • Partial correlations were stronger between brainstem and AI (r = 0.15) and between AI and pACC (r = 0.26) than between brainstem and pACC (r = 0.06).
  • In patients with disorders of consciousness (26 MCS, 19 VS/UWS, 6 coma, 21 controls), connectivity was reduced in all networks (p < 0.001), but only AI–pACC connectivity was absent in MCS/VS/UWS; this reduction exceeded that of other networks, including the default mode network (p < 0.05).

Methods

  • Case-control lesion study: 12 coma-causing brainstem lesions (7 local, 5 literature; mean age 57.3 ± 16.5 years; mean lesion volume 3,540 ± 2,988 mm³) compared with 24 control brainstem lesions (8 local, 16 literature; mean age 58.1 ± 12.8 years; mean lesion volume 2,364 ± 2,644 mm³), using subtraction and voxel-based lesion-symptom mapping.
  • Resting-state functional connectivity MRI in a normative dataset of 98 right-handed healthy participants to identify regions connected to the coma-specific brainstem site, with comparison to previously defined resting-state networks and von Economo neuron distribution.
  • Independent rs-fcMRI dataset from patients with disorders of consciousness and age-matched controls to compare AI–pACC connectivity with default mode and motor network connectivity.

Limitations

  • The paper states that rarity of focal coma-causing brainstem lesions limited new cases, so additional cases came from retrospective literature review, creating potential selection and reporting bias; prospective validation in a larger independent cohort is needed.
  • The paper states that rs-fcMRI has limited spatial resolution, especially in the brainstem, and cannot determine mono- vs polysynaptic mediation or directionality; absence of rs-fcMRI connectivity does not imply absence of anatomical connectivity.
  • The paper states that left-lateralized findings are uncertain because handedness was difficult to ascertain in some comatose patients and the healthy rs-fcMRI cohort was right-handed; AI–pACC connectivity did not differentiate MCS from VS/UWS, and heart rate variability could confound connectivity differences.

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Integrity signals

Registry

Crossref · 10.1212/wnl.0000000000003404

Cites

42 of 42 references verified0 citation errors · 0 not checkable

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Claims the paper makes

20 Own result · 8 Check pending · 5 Own method · 4 Not checked yet · 4 Own interpretation · 2 Sources not found · 2 No full text of the sources · 1 Supported · 1 No basis given

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  • It may state two separate claims as one. 15
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 12
26 of 26
  • The paper relies on this without support.

    The functional connectivity network identified in healthy adults from the coma-specific brainstem region is functionally relevant to the maintenance of human consciousness.

    “This network may therefore serve as a neuroanatomical interface between arousal and awareness, the 2 fundamental components of human consciousness.”
    “This network of brain regions may have a role in the maintenance of human consciousness.”
  • The paper relies on this without support.

    The distribution of von Economo neurons is a meaningful marker of cortical regions involved in consciousness.

    “However, both regions do correspond to the distribution of VENs. 36”
    “Although the precise function of these neurons remains unknown, it has been speculated that they have a role in some form of self-awareness. 28,37”
  • The paper relies on this without support.

    The control brainstem lesions did not impair conscious wakefulness.

    “which either caused coma or were ' controls ' (i.e., did not impair conscious wakefulness)”
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Metadata

Authors
Fischer, D. B., Boes, A. D., Demertzi, A., Evrard, H. C., Laureys, S., Edlow, B. L., Liu, H., Saper, C. B., Pascual-Leone, A., Fox, M. D., & Geerling, J. C.
Affiliations
  • Beth Israel Deaconess Medical Center (US)
  • From the Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology (D.B.F., A.D.B., A.P.-L., M.D.F.), and Department of Neurology (C.B.S., A.P.-L., M.D.F., J.C.G.), Harvard Medical School and Beth Israel Deaconess Medical Center, Boston; Harvard Medical School (D.B.F.), Boston; Departments of Pediatric Neurology (A.D.B.) and Neurology (B.L.E.), Harvard Medical School and Massachusetts General Hospital, Boston, MA; Brain and Spine Institute ...
Venue
Neurology
Published
2016-12-06
Volume
87
Issue
23
Pages
2427-2434
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2547120907
Cited by
283
References
42
Citations by year
2026: 25 · 2025: 34 · 2024: 26 · 2023: 29 · 2022: 27 · 2021: 40 · 2020: 26 · 2019: 31 · 2018: 26 · 2017: 16 · 2016: 2
FWCI
12.37
Type
journal article
Language
en
Open access
Locations
  • Neurology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
  • Max Planck Digital Library (submittedVersion)
  • Open Repository and Bibliography (University of Liège) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
  • National Institutes of Health (S10RR023043)
  • National Heart, Lung, and Blood Institute (P01HL095491, T32HL007901)
  • National Institute of Mental Health (R21MH099196)
  • National Institute of Neurological Disorders and Stroke (K23NS083741, R01NS073601, R25NS070682, R21NS082870, R01NS085477, R01NS091604, R21NS085491, R25NS065743)
  • National Center for Research Resources (S10-RR-023043)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD069776)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
coma, brainstem lesions, functional connectivity, resting-state networks, anterior insula, pregenual anterior cingulate cortex, von Economo neurons, disorders of consciousness, consciousness, voxel-based lesion-symptom mapping
MeSH terms
Brain Mapping, Brain Stem, Coma, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Rest, Cohort Studies, Case-Control Studies, Young Adult

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