4.4 Article

Shape description and volumetry of hippocampus and amygdala in temporal lobe epilepsy-A beneficial combination with a clinical perspective

Journal

EPILEPSY & BEHAVIOR
Volume 128, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yebeh.2022.108560

Keywords

Epilepsy; Temporal lobe; Limbic encephalitis; Hippocampus; Amygdala; Neuroimaging

Funding

  1. BonnNI Promotionskolleg Neuroimmunology of the University of Bonn
  2. Else-Kroner-Fresenius Stiftung [2020-S1-01, 2018-S2-01]
  3. BONFOR research commission of the medical faculty of the University of Bonn [2019-4-07]
  4. Verein zur Forderung der Epilepsieforschung

Ask authors/readers for more resources

This study aimed to assess the value of shape description in the analysis of lesional and autoimmune temporal lobe epilepsy. The research found that shape asymmetry significantly improved the detection of morphometric changes and was associated with memory performance in autoimmune temporal lobe epilepsy, while shape description was redundant in lesional temporal lobe epilepsy.
Shape-based markers have entered the field of morphometric neuroimaging analysis as a second main-stay alongside conventional volumetric approaches. We aimed to assess the added value of shape description for the analysis of lesional and autoimmune temporal lobe epilepsy (TLE) focusing on hip-pocampus and amygdala. We retrospectively investigated MRI and clinical data from 65 patients with lesional TLE (hippocampal sclerosis (HS) and astrogliosis) and from 62 patients with limbic encephalitis (LE) with serologically pro-ven autoantibodies. Surface reconstruction and volumetric segmentation were performed with FreeSurfer. For the shape analysis, we used BrainPrint, a tool that utilizes eigenvalues of the Laplace- Beltrami operator on triangular meshes to calculate intra-subject asymmetry. Psychometric tests of memory performance were ascertained, to evaluate clinical relevance of the shape descriptor. The poten-tial benefit of shape in addition to volumetric information for classification was assessed by five-fold repeated cross validation and logistic regression. For the LE group, the best performing classification model consisted of a combination of volume and shape asymmetry (mean AUC = 0.728), the logistic regression model was significantly improved consid-ering both modalities instead of just volume asymmetry. For lesional TLE, the best model only considered volumetric information (mean AUC = 0.867). Shape asymmetry of the hippocampus was largely associ-ated with verbal memory performance only in LE patients (OR = 1.07, p = 0.02). For lesional TLE, shape description is robust, but redundant when compared to volumetric approaches. For LE, in contrast, shape asymmetry as a complementary modality significantly improves the detection of subtle morphometric changes and is further associated with memory performance, which underscores the clinical relevance of shape asymmetry as a novel imaging biomarker. (c) 2022 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available