Evidence map›Paper›PMID 36971590›Full record

ArticleHuman brain mapping2023

Development of an objective method to quantify hippocampal dentation.

Anandh Kilpattu Ramaniharan, Vuga Parpura, Mike Weng Zhang, Roy Martin, Lawrence Ver Hoef

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Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anandh Kilpattu RamaniharanDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Vuga ParpuraDepartment of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Mike Weng ZhangDepartment of Neurology, Baptist Health Medical Group, Louisville, Kentucky, USA.
Roy MartinDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Lawrence Ver HoefDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-1026-550X

Funding

Understanding hippocampal internal architecture in human temporal lobe epilepsy -- from MRI to epigeneticsR01NS094743 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VER HOEF, LAWRENCE · 2016 to 2020
$2.6M
NINDS NIH HHS R01 NS094743
6 · The paper itself

Abstract

Hippocampal dentation (HD) refers to a series of ridges (dentes) seen on the inferior aspect of the hippocampus. The degree of HD varies dramatically across healthy individuals, and hippocampal pathology may result in loss of HD. Existing studies show associations between HD and memory performance in healthy adults as well as temporal lobe epilepsy (TLE) patients. However, until now studies relied on visual assessment of HD as no objective methods to quantify HD have been described. In this work, we describe a method to objectively quantify HD by transforming the characteristic 3D surface morphology of HD into a simplified 2D plot for which area under the curve (AUC) was calculated. This was applied to T1w scans of 59 TLE subjects, each with one epileptic hippocampus and one normal appearing hippocampus. Results showed that AUC significantly correlated with the number of dentes based on visual inspection (p < .05) and correctly sorted a set of hippocampi from least to most prominently dentated. Intra- and inter-rater reliability was nearly perfect (ICC ≥ 0.99). AUC values were significantly lower in epileptic hippocampi compared to contralateral hippocampi (p = .00019), consistent with previously published findings. In the left TLE group, the AUC values from the contralateral hippocampi showed a positive trend (p = .07) with verbal memory acquisition scores but was not statistically significant. The proposed approach is the first objective, quantitative measurement of dentation described in the literature. The AUC values numerically capture the complex surface contour information of HD and will enable future study of this interesting morphologic feature.

Indexed as

EpilepsyEpilepsy, Temporal LobeAdultHippocampusHumansMagnetic Resonance ImagingReproducibility of ResultsSclerosisTemporal Lobedentation quantificationhippocampal dentationhippocampal sclerosisobjective methodultra-high resolution segmentation

Identifiers

PMID36971590
PMCPMC10171507

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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.