Evidence map›Paper›PMID 36871641›Full record

ArticleNeurobiology of disease2023

Functional connectivity alterations in traumatic brain injury patients with late seizures.

Marianna La Rocca, Giuseppe Barisano, Rachael Garner, Sebastian F Ruf, Nicola Amoroso, Martin Monti, Paul Vespa, Roberto Bellotti, Deniz Erdoğmuş, Arthur W Toga and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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  4. Review
  5. 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

12 authors.

Marianna La RoccaDipartimento Interateneo di Fisica M. Merlin, Universitá degli Studi di Bari A. Moro, Bari, Italy; Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy. Electronic address: marianna.larocca@uniba.it.
Giuseppe BarisanoLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Rachael GarnerLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Sebastian F RufCognitive Systems Laboratory, ECE Department, Northeastern University, Boston, MA, USA.
Nicola AmorosoDipartimento di Farmacia - Scienze del Farmaco, Università degli studi di Bari A. Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy.
Martin MontiDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
Paul VespaDavid Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Roberto BellottiDipartimento Interateneo di Fisica M. Merlin, Universitá degli Studi di Bari A. Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy.
Deniz ErdoğmuşCognitive Systems Laboratory, ECE Department, Northeastern University, Boston, MA, USA.
Arthur W TogaLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Dominique DuncanLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
EpiBioS4Rx Study Group

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2017 to 2021
$21.7M
SCH: INT: Collaborative Research: Multimodal Signal Analysis and Data Fusion for Post-traumatic EpilepsyR01NS111744 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNCAN, DOMINIQUE, ERDOGMUS, DENIZ · 2019 to 2022
$981k
NINDS NIH HHS R01 NS111744NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

PTE is a neurological disorder characterized by recurrent and spontaneous epileptic seizures. PTE is a major public health problem occurring in 2-50% of TBI patients. Identifying PTE biomarkers is crucial for the development of effective treatments. Functional neuroimaging studies in patients with epilepsy and in epileptic rodents have observed that abnormal functional brain activity plays a role in the development of epilepsy. Network representations of complex systems ease quantitative analysis of heterogeneous interactions within a unified mathematical framework. In this work, graph theory was used to study resting state functional magnetic resonance imaging (rs-fMRI) and reveal functional connectivity abnormalities that are associated with seizure development in traumatic brain injury (TBI) patients. We examined rs-fMRI of 75 TBI patients from Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) which aims to identify validated Post-traumatic epilepsy (PTE) biomarkers and antiepileptogenic therapies using multimodal and longitudinal data acquired from 14 international sites. The dataset includes 28 subjects who had at least one late seizure after TBI and 47 subjects who had no seizures within 2 years post-injury. Each subject's neural functional network was investigated by computing the correlation between the low frequency time series of 116 regions of interest (ROIs). Each subject's functional organization was represented as a network consisting of nodes, brain regions, and edges that show the relationship between the nodes. Then, several graph measures concerning the integration and the segregation of the functional brain networks were extracted in order to highlight changes in functional connectivity between the two TBI groups. Results showed that the late seizure-affected group had a compromised balance between integration and segregation and presents functional networks that are hyperconnected, hyperintegrated but at the same time hyposegregated compared with seizure-free patients. Moreover, TBI subjects who developed late seizures had more low betweenness hubs.

Indexed as

Brain Injuries, TraumaticEpilepsyEpilepsy, Post-TraumaticBiomarkersBrainHumansMagnetic Resonance ImagingSeizuresBiomarkersFunctional connectivityFunctional magnetic resonance imagingGraph theoryPost-traumatic epilepsyTraumatic brain injury

Identifiers

PMID36871641
PMCPMC13518048

What OpenQuestion holds

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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.