Evidence map›Paper›PMID 36138915›Full record

ArticleBrain sciences2022

Functional Source Separation-Identified Epileptic Network: Analysis Pipeline.

Elzbieta Olejarczyk, Filippo Zappasodi, Lorenzo Ricci, Annalisa Pascarella, Giovanni Pellegrino, Luca Paulon, Giovanni Assenza, Franca Tecchio

Open access · goldAbstract readCase Reports
In one paragraph

Article in Brain sciences, 2022. 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
0.4field-weighted citation impact, top 45% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 6 institutions in 2 countries.

Elzbieta OlejarczykNalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 02-109 Warsaw, Poland.ORCID 0000-0002-6821-350X
Filippo ZappasodiDepartment of Neuroscience, Imaging and Clinical Sciences, & Institute for Advanced Biomedical Technologies, 'G. d'Annunzio' University, 66100 Chieti, Italy.
Lorenzo RicciUnit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Annalisa PascarellaInstitute for Applied Mathematics "Mauro Picone" (IAC), National Research Council, 00185 Rome, Italy.ORCID 0000-0001-8795-0815
Giovanni PellegrinoIRCCS San Camillo Hospital, 30126 Venice, Italy.
Luca PaulonLaboratory of Electrophysiology for Translational Neuroscience, Institute of Cognitive Sciences and Technologies, National Research Council, 00185 Rome, Italy.ORCID 0000-0001-8304-3046
Giovanni AssenzaUnit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0003-3129-1982
Franca TecchioLaboratory of Electrophysiology for Translational Neuroscience, Institute of Cognitive Sciences and Technologies, National Research Council, 00185 Rome, Italy.
Neuroscience Institute · ITUniversità Campus Bio-Medico · ITInstitute of Biocybernetics and Biomedical Engineering · PLIRCCS San Camillo Hospital · ITIstituto per le Applicazioni del Calcolo Mauro Picone · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This proof-of-concept (PoC) study presents a pipeline made by two blocks: 1. the identification of the network that generates interictal epileptic activity; and 2. the study of the time course of the electrical activity that it generates, called neurodynamics, and the study of its functional connectivity to the other parts of the brain. Network identification is achieved with the Functional Source Separation (FSS) algorithm applied to electroencephalographic (EEG) recordings, the neurodynamics quantified through signal complexity with the Higuchi Fractal Dimension (HFD), and functional connectivity with the Directed Transfer Function (DTF). This PoC is enhanced by the data collected before and after neuromodulation via transcranial Direct Current Stimulation (tDCS, both Real and Sham) in a single drug-resistant epileptic person. We observed that the signal complexity of the epileptogenic network, reduced in the pre-Real, pre-Sham, and post-Sham, reached the level of the rest of the brain post-Real tDCS. DTF changes post-Real tDCS were maintained after one month. The proposed approach can represent a valuable tool to enhance understanding of the relationship between brain neurodynamics characteristics, the effects of non-invasive brain stimulation, and epileptic symptoms.

Indexed as

Directed Transfer Function (DTF)EEGfocal epilepsyFunctional Source Separation (FSS)Higuchi Fractal Dimension (HFD)transcranial Direct Current Stimulation (tDCS)

Identifiers

PMID36138915
PMCPMC9496980
OpenAlexW4294131689

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.