Evidence map›Paper›PMID 38162897›Full record

ArticleBrain communications2024

Altered spread of waves of activities at large scale is influenced by cortical thickness organization in temporal lobe epilepsy: a magnetic resonance imaging-high-density electroencephalography study.

Gian Marco Duma, Giovanni Pellegrino, Giovanni Rabuffo, Alberto Danieli, Lisa Antoniazzi, Valerio Vitale, Raffaella Scotto Opipari, Paolo Bonanni, Pierpaolo Sorrentino

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 12 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

9 authors at 5 institutions in 3 countries.

Gian Marco DumaEpilepsy Unit, IRCCS E. Medea Scientific Institute, Conegliano 31015, Italy.ORCID https://orcid.org/0000-0002-0778-3920
Giovanni PellegrinoEpilepsy Program, Schulich School of Medicine and Dentistry, Western University, London N6A5C1, Canada.
Giovanni RabuffoInstitut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille 13005, France.ORCID https://orcid.org/0000-0003-3947-1662
Alberto DanieliEpilepsy Unit, IRCCS E. Medea Scientific Institute, Conegliano 31015, Italy.
Lisa AntoniazziEpilepsy Unit, IRCCS E. Medea Scientific Institute, Conegliano 31015, Italy.
Valerio VitaleDepartment of Neuroscience, Neuroradiology Unit, San Bortolo Hospital, Vicenza 36100, Italy.
Raffaella Scotto OpipariDepartment of Neuroscience, Neuroradiology Unit, San Bortolo Hospital, Vicenza 36100, Italy.
Paolo BonanniEpilepsy Unit, IRCCS E. Medea Scientific Institute, Conegliano 31015, Italy.
Pierpaolo SorrentinoInstitut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille 13005, France.ORCID https://orcid.org/0000-0002-9556-9800
IRCCS Eugenio Medea · ITOspedale San Bortolo · ITAix-Marseille Université · FRUniversity of Sassari · ITWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal lobe epilepsy is a brain network disorder characterized by alterations at both the structural and the functional levels. It remains unclear how structure and function are related and whether this has any clinical relevance. In the present work, we adopted a novel methodological approach investigating how network structural features influence the large-scale dynamics. The functional network was defined by the spatio-temporal spreading of aperiodic bursts of activations (neuronal avalanches), as observed utilizing high-density electroencephalography in patients with temporal lobe epilepsy. The structural network was modelled as the region-based thickness covariance. Loosely speaking, we quantified the similarity of the cortical thickness of any two brain regions, both across groups and at the individual level, the latter utilizing a novel approach to define the subject-wise structural covariance network. In order to compare the structural and functional networks (at the nodal level), we studied the correlation between the probability that a wave of activity would propagate from a source to a target region and the similarity of the source region thickness as compared with other target brain regions. Building on the recent evidence that large-waves of activities pathologically spread through the epileptogenic network in temporal lobe epilepsy, also during resting state, we hypothesize that the structural cortical organization might influence such altered spatio-temporal dynamics. We observed a stable cluster of structure-function correlation in the bilateral limbic areas across subjects, highlighting group-specific features for left, right and bilateral temporal epilepsy. The involvement of contralateral areas was observed in unilateral temporal lobe epilepsy. We showed that in temporal lobe epilepsy, alterations of structural and functional networks pair in the regions where seizures propagate and are linked to disease severity. In this study, we leveraged on a well-defined model of neurological disease and pushed forward personalization approaches potentially useful in clinical practice. Finally, the methods developed here could be exploited to investigate the relationship between structure-function networks at subject level in other neurological conditions.

Indexed as

connectomeneuronal avalanchesstructural covariance networktemporal lobe epilepsy

Identifiers

PMID38162897
PMCPMC10754317
OpenAlexW4389794636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.