Evidence map›Paper›PMID 36672119›Full record

ArticleBrain sciences2023

How Functional Connectivity Measures Affect the Outcomes of Global Neuronal Network Characteristics in Patients with Schizophrenia Compared to Healthy Controls.

Kamil Jonak, Magdalena Marchewka, Arkadiusz Podkowiński, Agata Siejka, Małgorzata Plechawska-Wójcik, Robert Karpiński, Paweł Krukow

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 2 institutions in 1 country.

Kamil JonakDepartment of Computer Science, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0002-9975-1458
Magdalena MarchewkaMechanical Engineering Faculty, Lublin University of Technology, 20-618 Lublin, Poland.
Arkadiusz PodkowińskiDa Vinci NeuroClinic, Lublin, 20-102 Lublin, Poland.
Agata SiejkaFaculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland.
Małgorzata Plechawska-WójcikDepartment of Computer Science, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0003-1055-5344
Robert KarpińskiDepartment of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0003-4063-8503
Paweł KrukowDepartment of Clinical Neuropsychiatry, Medical University of Lublin, 20-059 Lublin, Poland.ORCID 0000-0001-9497-2713
Medical University of Lublin · PLLublin University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern computational solutions used in the reconstruction of the global neuronal network arrangement seem to be particularly valuable for research on neuronal disconnection in schizophrenia. However, the vast number of algorithms used in these analyses may be an uncontrolled source of result inconsistency. Our study aimed to verify to what extent the characteristics of the global network organization in schizophrenia depend on the inclusion of a given type of functional connectivity measure. Resting-state EEG recordings from schizophrenia patients and healthy controls were collected. Based on these data, two identical procedures of graph-theory-based network arrangements were computed twice using two different functional connectivity measures (phase lag index,

Indexed as

EEGfunctional connectivityMSTneuronal networksPLIPLVschizophrenia

Identifiers

PMID36672119
PMCPMC9856389
OpenAlexW4315853156

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.