Evidence map›Paper›PMID 40465169›Full record

ArticleEpilepsia2025

Evaluation of limbic microstructural abnormalities in temporal lobe epilepsy: A neurite orientation distribution and density imaging study.

James J Gugger, Catherine V Kulick-Soper, Nishant Sinha, Marc Jaskir, Peter N Hadar, Mariam Josyula, Nina Petillo, Ramya Raghupathi, Russell T Shinohara, Sandhitsu Das and 2 more

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

James J GuggerDepartment of Neurology, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.ORCID https://orcid.org/0000-0003-1113-2984
Catherine V Kulick-SoperDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8541-5912
Nishant SinhaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2090-4889
Marc JaskirDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Peter N HadarDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Mariam JosyulaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nina PetilloDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ramya RaghupathiDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0009-0007-5080-5084
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sandhitsu DasDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joel M SteinDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kathryn A DavisDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
Neuroimaging Phenotypes of Post-Traumatic EpilepsyK23NS135101 · NINDS · UNIVERSITY OF ROCHESTER · PI James J Gugger · 2024 to 2026
$664k
Scalable methods to quantify epileptic network and guide epilepsy surgeryK99NS138680 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SINHA, NISHANT · 2024 to 2025
$298k
NINDS NIH HHS K23 NS135101NINDS NIH HHS K99 NS138680NINDS NIH HHS R01 NS116504
6 · The paper itself

Abstract

objectiveWidespread structural pathology in the limbic system is a hallmark of temporal lobe epilepsy (TLE). In this work, we sought to describe a comprehensive readout of limbic abnormalities in TLE using neurite orientation distribution and density imaging (NODDI).

methodsThis is a retrospective study of patients with drug-resistant TLE and healthy controls who underwent research magnetic resonance imaging. We estimated the degree of deviation of the NODDI parameters neurite density index (NDI) and orientation dispersion index (ODI) from healthy controls in limbic regions in the form of univariate z-scores. We calculated a multivariate deviation score combining both NDI and ODI (Mahalanobis distance). A summary score representing the overall level of deviation across limbic regions was then computed using the sum of regional deviation scores. We next assessed the diagnostic performance of summary scores in lateralizing TLE as well as associations with neuropsychological deficits and 12-month surgical outcome.

resultsThe Mahalanobis distance revealed unique patterns of abnormalities between TLE participants (n = 74) and controls (n = 42), with only four of 18 (22%) areas displaying overlapping univariate and multivariate deviations. The multivariate summary score achieved the highest diagnostic accuracy in clinical lateralization of nonlesional TLE (area under the curve [AUC] = .95, 95% confidence interval [CI] = .77-1). Among surgical patients (n = 30), summary scores corresponding to the hemisphere ipsilateral and contralateral to surgery were predictive of seizure freedom at 12 months (AUC = .84, 95% CI = .76-.93). SIGNIFICANCE: We demonstrate unique patterns of abnormalities in neurite density and coherence in limbic microstructure in TLE. A summary score accounting for deviations in both neurite density and coherence achieved high diagnostic accuracy in clinical lateralization of TLE and was associated with surgical outcomes, warranting further study as a putative biomarker in TLE to be used alongside clinical data.

Indexed as

Drug Resistant EpilepsyEpilepsy, Temporal LobeLimbic SystemNeuritesAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung Adultdiffusion MRIdrug‐resistant focal epilepsymagnetic resonance imagingNODDInormative modeling

Identifiers

PMID40465169
PMCPMC12354166

What Socratic 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 Socratic graph.