Evidence map›Paper›PMID 30841486›Full record

ArticleJournal of clinical medicine2019

Functional Brain Network Topology Discriminates between Patients with Minimally Conscious State and Unresponsive Wakefulness Syndrome.

Alberto Cacciola, Antonino Naro, Demetrio Milardi, Alessia Bramanti, Leonardo Malatacca, Maurizio Spitaleri, Antonino Leo, Alessandro Muscoloni, Carlo Vittorio Cannistraci, Placido Bramanti and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 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

12 authors at 3 institutions in 2 countries.

Alberto CacciolaDepartment of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy. alberto.cacciola0@gmail.com.ORCID 0000-0001-9412-4116
Antonino NaroBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. g.naro11@alice.it.
Demetrio MilardiDepartment of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy. dmilardi@unime.it.
Alessia BramantiBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. alessia.bramanti@irccsme.it.
Leonardo MalataccaBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. leonardo.malatacca@irccsme.it.
Maurizio SpitaleriBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. maurizio.spitaleri@irccsme.it.
Antonino LeoBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. antonino.leo@irccsme.it.
Alessandro MuscoloniBiomedical Cybernetics Group, Biotechnology Center (BIOTEC), Center for Molecular and Cellular Bioengineering (CMCB), Center for Systems Biology Dresden (CSBD), Department of Physics, Technische Universität Dresden, Tatzberg 47/49, D-01307 Dresden, Germany. alessandro.muscoloni@gmail.com.ORCID 0000-0002-9238-3357
Carlo Vittorio CannistraciBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. kalokagathos.agon@gmail.com.ORCID 0000-0003-0100-8410
Placido BramantiBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. dino.brama@gmail.com.
Rocco Salvatore CalabròBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy. salbro77@tiscali.it.
Giuseppe Pio AnastasiDepartment of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy. dptbiosciences@gmail.com.
Centro Neurolesi Bonino Pulejo · ITUniversity of Messina · ITCenter for Systems Biology Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consciousness arises from the functional interaction of multiple brain structures and their ability to integrate different complex patterns of internal communication. Although several studies demonstrated that the fronto-parietal and functional default mode networks play a key role in conscious processes, it is still not clear which topological network measures (that quantifies different features of whole-brain functional network organization) are altered in patients with disorders of consciousness. Herein, we investigate the functional connectivity of unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS) patients from a topological network perspective, by using resting-state EEG recording. Network-based statistical analysis reveals a subnetwork of decreased functional connectivity in UWS compared to in the MCS patients, mainly involving the interhemispheric fronto-parietal connectivity patterns. Network topological analysis reveals increased values of local-community-paradigm correlation, as well as higher clustering coefficient and local efficiency in UWS patients compared to in MCS patients. At the nodal level, the UWS patients showed altered functional topology in several limbic and temporo-parieto-occipital regions. Taken together, our results highlight (i) the involvement of the interhemispheric fronto-parietal functional connectivity in the pathophysiology of consciousness disorders and (ii) an aberrant connectome organization both at the network topology level and at the nodal level in UWS patients compared to in the MCS patients.

Indexed as

consciousnessfronto-parietal connectivityfunctional connectomelocal-community-paradigmnetwork analysis

Identifiers

PMID30841486
PMCPMC6463121
OpenAlexW2919945690

What OpenQuestion holds

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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.