Evidence map›Paper›PMID 36319701›Full record

ArticleScientific reports2022

Amplitude synchronization of spontaneous activity of medial and lateral temporal gyri reveals altered thalamic connectivity in patients with temporal lobe epilepsy.

Anish V Sathe, Michael Kogan, KiChang Kang, Jingya Miao, Mashaal Syed, Isaiah Ailes, Caio M Matias, Devon Middleton, Feroze B Mohamed, Scott Faro and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 4 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

13 authors at 2 institutions in 1 country.

Anish V SatheDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA. anish.sathe@students.jefferson.edu.
Michael KoganDepartment of Neurosurgery, University of New Mexico, Albuquerque, USA.
KiChang KangDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Jingya MiaoDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Mashaal SyedDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Isaiah AilesDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Caio M MatiasDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Devon MiddletonDepartment of Radiology, Thomas Jefferson University, Philadelphia, USA.
Feroze B MohamedDepartment of Radiology, Thomas Jefferson University, Philadelphia, USA.
Scott FaroDepartment of Radiology, Thomas Jefferson University, Philadelphia, USA.
Joseph TracyDepartment of Neurology, Thomas Jefferson University, Philadelphia, USA.
Ashwini SharanDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Mahdi AlizadehDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, USA.
Thomas Jefferson University · USUniversity of New Mexico · US

Funding

Model Development for Prediction of Surgical Outcome in Temporal Lobe Epilepsy Patients: Incorporation of the Correlation between Post-Surgical Reorganization Phenotypes and Pre-Surgical DataR01NS112816 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI TRACY, JOSEPH I. · 2019 to 2023
$2.3M
NINDS NIH HHS R01 NS112816
6 · The paper itself

Abstract

In this study, we examined whether amplitude synchronization of medial (MTL) and lateral (LTL) temporal lobes can detect unique alterations in patients with MTL epilepsy (mTLE) with mesial temporal sclerosis (MTS). This was a retrospective study of preoperative resting-state fMRI (rsfMRI) data from 31 patients with mTLE with MTS (age 23-69) and 16 controls (age 21-35). fMRI data were preprocessed based on a multistep preprocessing pipeline and registered to a standard space. Using each subject's T1-weighted scan, the MTL and LTL were automatically segmented, manually revised and then fit to a standard space using a symmetric normalization registration algorithm. Dual regression analysis was applied on preprocessed rsfMRI data to detect amplitude synchronization of medial and lateral temporal segments with the rest of the brain. We calculated the overlapped volume ratio of synchronized voxels within specific target regions including the thalamus (total and bilateral). A general linear model was used with Bonferroni correction for covariates of epilepsy duration and age of patient at scan to statistically compare synchronization in patients with mTLE with MTS and controls, as well as with respect to whether patients remained seizure-free (SF) or not (NSF) after receiving epilepsy surgery. We found increased ipsilateral positive connectivity between the LTLs and the thalamus and contralateral negative connectivity between the MTLs and the thalamus in patients with mTLE with MTS compared to controls. We also found increased asymmetry of functional connectivity between temporal lobe subregions and the thalamus in patients with mTLE with MTS, with increased positive connectivity between the LTL and the lesional-side thalamus as well as increased negative connectivity between the MTL and the nonlesional-side thalamus. This asymmetry was also seen in NSF patients but was not seen in SF patients and controls. Amplitude synchronization was an effective method to detect functional connectivity alterations in patients with mTLE with MTS. Patients with mTLE with MTS overall showed increased temporal-thalamic connectivity. There was increased functional involvement of the thalamus in MTS, underscoring its role in seizure spread. Increased functional thalamic asymmetry patterns in NSF patients may have a potential role in prognosticating patient response to surgery. Elucidating regions with altered functional connectivity to temporal regions can improve understanding of the involvement of different regions in the disease to potentially target for intervention or use for prognosis for surgery. Future studies are needed to examine the effectiveness of using patient-specific abnormalities in patterns to predict surgical outcome.

Indexed as

Epilepsy, Temporal LobeAdultAgedHippocampusHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesTemporal LobeThalamusYoung Adult

Identifiers

PMID36319701
PMCPMC9626490
OpenAlexW4308025570

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.