Evidence map›Paper›PMID 39854724›Full record

ArticleJournal of neurosurgery2025

Impact of disease duration and surgical intervention on arousal networks in temporal lobe epilepsy.

Derek J Doss, Abhijeet Gummadavelli, Graham W Johnson, Ghassan S Makhoul, Jared S Shless, Camden E Bibro, Monica L Jacobs, Hakmook Kang, Kevin F Haas, Sarah K Bick and 5 more

Abstract read
In one paragraph

Article in Journal of neurosurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Derek J Doss *Departments of1Biomedical Engineering.
Abhijeet Gummadavelli *3Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University, Nashville, Tennessee.
Graham W JohnsonDepartments of1Biomedical Engineering.
Ghassan S MakhoulDepartments of1Biomedical Engineering.
Jared S Shless5Harvard Medical School, Harvard University, Boston, Massachusetts.
Camden E BibroDepartments of4Neurological Surgery.
Monica L JacobsDepartments of4Neurological Surgery.
Hakmook Kang6Biostatistics.
Kevin F Haas7Neurology, and.
Sarah K BickDepartments of1Biomedical Engineering.
Douglas P TerryDepartments of4Neurological Surgery.
Benoit M DawantDepartments of1Biomedical Engineering.
Catie ChangDepartments of1Biomedical Engineering.
Victoria L MorganDepartments of1Biomedical Engineering.
Dario J EnglotDepartments of1Biomedical Engineering.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Relating Vigilance to Connectivity and Neurocognition in Temporal Lobe EpilepsyR01NS112252 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ENGLOT, DARIO J · 2019 to 2023
$3.0M
The Role of Network Connectivity in Post-Surgical Seizure Recurrence in Temporal Lobe EpilepsyR01NS110130 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MORGAN, VICTORIA L · 2018 to 2023
$2.5M
MRI Connectivity Biomarkers of Treatment Response in Focal EpilepsyR01NS108445 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MORGAN, VICTORIA L · 2019 to 2024
$2.5M
Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Development of multimodal network analyses to improve epilepsy surgery outcomesR01NS134625 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Dario J Englot · 2024 to 2026
$2.0M
Dynamic multimodal connectivity analysis of brain networks in focal epilepsyF31NS131056 · NINDS · VANDERBILT UNIVERSITY · PI DOSS, DEREK J · 2023 to 2024
$60k
Directed connectivity analysis of resting-state SEEG and DWI to improve lateralization and localization in focal epilepsyF31NS120401 · NINDS · VANDERBILT UNIVERSITY · PI JOHNSON, GRAHAM WALTER · 2021 to 2022
$52k
NIBIB NIH HHS T32 EB021937NICHD NIH HHS P50 HD103537NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284NINDS NIH HHS F31 NS120401NINDS NIH HHS F31 NS131056NINDS NIH HHS R01 NS108445NINDS NIH HHS R01 NS110130NINDS NIH HHS R01 NS112252NINDS NIH HHS R01 NS134625
6 · The paper itself

Abstract

objectiveEpilepsy is a common neurological disease affecting nearly 1% of the global population, and temporal lobe epilepsy (TLE) is the most common type. Patients experience recurrent seizures and chronic cognitive deficits that can impact their quality of life, ability to work, and independence. These cognitive deficits often extend beyond the temporal lobe and are not well understood. It has been proposed in the extended network inhibition hypothesis that repeated spread of seizure activity to the ascending reticular activating system (ARAS) may contribute to these deficits. Disease duration has been associated with other network changes in patients with TLE, but few studies have investigated the relationship between disease duration, ARAS connectivity, and cognitive deficits in TLE. Furthermore, epilepsy surgery can result in seizure freedom and cognitive improvement in some patients, but it is unclear how the surgery affects ARAS connectivity.

methodsResting-state functional MRI data were collected for patients with TLE (preoperatively in 40 and postoperatively in 25), and for 40 age-matched healthy controls. Functional connectivity was computed between all regions. Functional connectivity and segregation, a graph-theory measure of network isolation, were compared across the age spectrum in patients and controls. These same measures were evaluated as a function of epilepsy duration by controlling for age using a linear model built on healthy control data.

resultsThe authors found that increases in epilepsy duration were associated with greater segregation of the ARAS and decreased functional connectivity between the pedunculopontine tegmental nucleus and the frontoparietal association cortex. Furthermore, patients with impaired neurocognitive function were noted to have longer epilepsy duration and higher ARAS segregation compared to patients with spared neurocognition. After surgery, completely seizure-free patients demonstrated ARAS connectivity patterns that resembled those found in controls, whereas patients with residual seizures had persistent abnormal connectivity.

conclusionsThese findings suggest that recurrent seizures may contribute to isolation of critical subcortical activating structures, possibly impacting cognitive function. Furthermore, some ARAS functional connectivity abnormalities can be reversed if seizure freedom is achieved after epilepsy surgery. These results provide support for the extended network inhibition hypothesis, may lend insight into the progressive effect of recurrent seizures on arousal networks, and may lead to improved interventions to halt or reverse network impairments in patients with TLE.

Indexed as

ArousalEpilepsy, Temporal LobeNerve NetAdolescentAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTime FactorsYoung Adultcognition and epilepsyconnectomicsepilepsy durationseizure freedomsurgical epilepsytemporal lobe epilepsy

Identifiers

PMID39854724
PMCPMC12129691

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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.