Evidence map›Paper›PMID 35916363›Full record

ArticleeLife2022

Disruption in structural-functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness.

Rajanikant Panda, Aurore Thibaut, Ane Lopez-Gonzalez, Anira Escrichs, Mohamed Ali Bahri, Arjan Hillebrand, Gustavo Deco, Steven Laureys, Olivia Gosseries, Jitka Annen and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
8.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 7 countries.

Rajanikant PandaComa Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.ORCID 0000-0002-0960-4340
Aurore ThibautComa Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.
Ane Lopez-GonzalezComputational Neuroscience Group, Center for Brain and Cognition, Universitat Pompeu Fabra, Bracelona, Spain.
Anira EscrichsComputational Neuroscience Group, Center for Brain and Cognition, Universitat Pompeu Fabra, Bracelona, Spain.ORCID 0000-0002-6482-9737
Mohamed Ali BahriGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Arjan HillebrandAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam, Netherlands.ORCID 0000-0002-8508-3532
Gustavo DecoComputational Neuroscience Group, Center for Brain and Cognition, Universitat Pompeu Fabra, Bracelona, Spain.
Steven LaureysComa Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.
Olivia GosseriesComa Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.
Jitka Annen *Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.
Prejaas Tewarie *Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam, Netherlands.ORCID 0000-0002-3311-4990
University of Liège · BEUniversitat Pompeu Fabra · ESAmsterdam Neuroscience · NLInstitució Catalana de Recerca i Estudis Avançats · ESUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding recovery of consciousness and elucidating its underlying mechanism is believed to be crucial in the field of basic neuroscience and medicine. Ideas such as the global neuronal workspace (GNW) and the mesocircuit theory hypothesize that failure of recovery in conscious states coincide with loss of connectivity between subcortical and frontoparietal areas, a loss of the repertoire of functional networks states and metastable brain activation. We adopted a time-resolved functional connectivity framework to explore these ideas and assessed the repertoire of functional network states as a potential marker of consciousness and its potential ability to tell apart patients in the unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS). In addition, the prediction of these functional network states by underlying hidden spatial patterns in the anatomical network, that is so-called eigenmodes, was supplemented as potential markers. By analysing time-resolved functional connectivity from functional MRI data, we demonstrated a reduction of metastability and functional network repertoire in UWS compared to MCS patients. This was expressed in terms of diminished dwell times and loss of nonstationarity in the default mode network and subcortical fronto-temporoparietal network in UWS compared to MCS patients. We further demonstrated that these findings co-occurred with a loss of dynamic interplay between structural eigenmodes and emerging time-resolved functional connectivity in UWS. These results are, amongst others, in support of the GNW theory and the mesocircuit hypothesis, underpinning the role of time-resolved thalamo-cortical connections and metastability in the recovery of consciousness.

Indexed as

ConsciousnessPersistent Vegetative StateBrainFrontal LobeHumansMagnetic Resonance Imagingcomputational biologydisorders of consciousnessdynamic connectivityeigenmodesfMRIglobal neuronal workspacehumanmesocircuitsystems biology

Identifiers

PMID35916363
PMCPMC9385205
OpenAlexW4289638758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.