Evidence map›Paper›PMID 37187039›Full record

ArticleEpilepsy research2023

Lateralization of interictal temporal lobe hypoperfusion in lesional and non-lesional temporal lobe epilepsy using arterial spin labeling MRI.

Frederika Rentzeperis, Myriam Abdennadher, Kathryn Snyder, Kate Dembny, Shervin Abdollahi, Kareem A Zaghloul, Lalith Talagala, William H Theodore, Sara K Inati

Open access · greenAbstract read
In one paragraph

Article in Epilepsy research, 2023. 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 38% 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, 2 citations in OpenAlex.

  1. Head to head comparison between arterial spin labelling MRI and [Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Observational
  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

9 authors at 2 institutions in 1 country.

Frederika RentzeperisOffice of the Clinical Director, NINDS, National Institutes of Health, Bethesda, MD, USA.
Myriam AbdennadherBoston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Kathryn SnyderOffice of the Clinical Director, NINDS, National Institutes of Health, Bethesda, MD, USA.
Kate DembnyOffice of the Clinical Director, NINDS, National Institutes of Health, Bethesda, MD, USA.
Shervin AbdollahiOffice of the Clinical Director, NINDS, National Institutes of Health, Bethesda, MD, USA.
Kareem A ZaghloulSurgical Neurology Branch, NINDS, National Institutes of Health, USA.
Lalith TalagalaNIH MRI Research Facility, NINDS, National Institutes of Health, USA.
William H TheodoreClinical Epilepsy Section, NINDS, National Institutes of Health, USA.
Sara K InatiOffice of the Clinical Director, NINDS, National Institutes of Health, Bethesda, MD, USA. Electronic address: sara.inati@nih.gov.
National Institutes of Health · USBoston University · US

Funding

Investigating the neural mechanisms of human cognitive function through intracranial recordingsZIANS003144 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ZAGHLOUL, KAREEM · 2014 to 2025
$36.1M
Investigating Epileptic and Functional Networks in Patients with Drug Resistant Focal EpilepsyZIANS009431 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI INATI, SARA · 2021 to 2025
$8.4M
Intramural NIH HHS Z99 NS999999Intramural NIH HHS ZIA NS009431
6 · The paper itself

Abstract

purposeNon-invasive imaging studies play a critical role in the presurgical evaluation of patients with drug-resistant temporal lobe epilepsy (TLE), particularly in helping to lateralize the seizure focus. Arterial Spin Labeling (ASL) MRI has been widely used to non-invasively study cerebral blood flow (CBF), with somewhat variable interictal alterations reported in TLE. Here, we compare temporal lobe subregional interictal perfusion and symmetry in lesional (MRI+) and non-lesional (MRI-) TLE compared to healthy volunteers (HVs).

methodsTwenty TLE patients (9 MRI+, 11 MRI-) and 14 HVs under went 3 T Pseudo-Continuous ASL MRI through an epilepsy imaging research protocol at the NIH Clinical Center. We compared normalized CBF and absolute asymmetry indices in multiple temporal lobe subregions.

resultsCompared to HVs, both MRI+ and MRI- TLE groups demonstrated significant ipsilateral mesial and lateral temporal hypoperfusion, specifically in the hippocampal and anterior temporal neocortical subregions, with additional hypoperfusion in the ipsilateral parahippocampal gyrus in the MRI+ and contralateral hippocampus in the MRI- TLE groups. Contralateral to the seizure focus, there was significant relative hypoperfusion in multiple subregions in the MRI- compared to the MRI+ TLE groups. The MRI+ group therefore had significantly greater asymmetry across multiple temporal subregions compared to the MRI- TLE and HV groups. No significant differences in asymmetry were found between the MRI- TLE and HV groups.

conclusionWe found a similar extent of interictal ipsilateral temporal hypoperfusion in MRI+ and MRI- TLE. However, significantly increased asymmetries were found only in the MRI+ group due to differences in perfusion contralateral to the seizure focus between the patient groups. The lack of asymmetry in the MRI- group may negatively impact the utility of interictal ASL for seizure focus lateralization in this patient population.

Indexed as

Epilepsy, Temporal LobeHippocampusHumansMagnetic Resonance ImagingSeizuresTemporal LobeArterial spin labeling MRIDrug-resistant epilepsyFocal epilepsyTemporal lobe epilepsy

Identifiers

PMID37187039
PMCPMC10247543
OpenAlexW4375945111

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.