Evidence map›Paper›PMID 32375368›Full record

ArticleJournal of clinical medicine2020

Consciousness and the Dimensionality of DOC Patients via the Generalized Ising Model.

Pubuditha M Abeyasinghe, Marco Aiello, Emily S Nichols, Carlo Cavaliere, Salvatore Fiorenza, Orsola Masotta, Pasquale Borrelli, Adrian M Owen, Anna Estraneo, Andrea Soddu

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Pubuditha M AbeyasingheDepartment of Physics and Astronomy, Western University, London, ON N6G2V4, Canada.
Marco AielloIRCCS SDN, Via E. Gianturco 113, 80143 Naples, Italy.
Emily S NicholsDepartment of Physics and Astronomy, Western University, London, ON N6G2V4, Canada.
Carlo CavaliereIRCCS SDN, Via E. Gianturco 113, 80143 Naples, Italy.
Salvatore FiorenzaClinical Scientific Institute Maugeri, Telese Terme Center, 82037 Telese Terme, Italy.
Orsola MasottaClinical Scientific Institute Maugeri, Telese Terme Center, 82037 Telese Terme, Italy.
Pasquale BorrelliIRCCS SDN, Via E. Gianturco 113, 80143 Naples, Italy.
Adrian M OwenBrain and Mind Institute, Western University, London, ON N6A57, Canada.
Anna EstraneoClinical Scientific Institute Maugeri, Telese Terme Center, 82037 Telese Terme, Italy.
Andrea SodduDepartment of Physics and Astronomy, Western University, London, ON N6G2V4, Canada.

Funding

AMO is supported by CIFAR, the Canada Excellence Research Chairs Program Grant No. 215063Italian Ministry of Health PE-2013-02358145Natural Sciences and Engineering Research Council of Canada RGPIN/05578-2014The Canadian Institutes of Health Research CIHR, #408004
6 · The paper itself

Abstract

The data from patients with severe brain injuries show complex brain functions. Due to the difficulties associated with these complex data, computational modeling is an especially useful tool to examine the structure-function relationship in these populations. By using computational modeling for patients with a disorder of consciousness (DoC), not only we can understand the changes of information transfer, but we also can test changes to different states of consciousness by hypothetically changing the anatomical structure. The generalized Ising model (GIM), which specializes in using structural connectivity to simulate functional connectivity, has been proven to effectively capture the relationship between anatomical structures and the spontaneous fluctuations of healthy controls (HCs). In the present study we implemented the GIM in 25 HCs as well as in 13 DoC patients diagnosed at three different states of consciousness. Simulated data were analyzed and the criticality and dimensionality were calculated for both groups; together, those values capture the level of information transfer in the brain. Ratifying previous studies, criticality was observed in simulations of HCs. We were also able to observe criticality for DoC patients, concluding that the GIM is generalizable for DoC patients. Furthermore, dimensionality increased for the DoC group as compared to healthy controls, and could distinguish different diagnostic groups of DoC patients.

Indexed as

dimensionality of the braindisorder of consciousnessfunctional connectivitygeneralized Ising modelstructural connectome

Identifiers

PMID32375368
PMCPMC7290966

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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.