Global and local shape features of the hippocampus based on Laplace–Beltrami eigenvalues and eigenfunctions: a potential application in the lateralization of temporal lobe epilepsy
Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace–Beltrami (LB) e...
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          | Published in | Neurological sciences Vol. 43; no. 9; pp. 5543 - 5552 | 
|---|---|
| Main Authors | , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Cham
          Springer International Publishing
    
        01.09.2022
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1590-1874 1590-3478 1590-3478  | 
| DOI | 10.1007/s10072-022-06204-7 | 
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| Abstract | Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace–Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (
N
 = 55) from healthy control subjects (
N
 = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (
N
 = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (
N
 = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required. | 
    
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| AbstractList | Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace–Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (
N
 = 55) from healthy control subjects (
N
 = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (
N
 = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (
N
 = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required. Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace–Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (N = 55) from healthy control subjects (N = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (N = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (N = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required. Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace-Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (N = 55) from healthy control subjects (N = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (N = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (N = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required.Using magnetic resonance (MR) images to evaluate changes in the shape of the hippocampus has been an active research topic. This paper presents a new shape analysis approach to quantify and visualize deformations of the hippocampus in epilepsy. The proposed method is based on Laplace-Beltrami (LB) eigenvalues and eigenfunctions as isometric invariant shape features, and thus, the procedure does not require any image registration. In addition to the LB-based shape features, total hippocampal volume and surface area are calculated using manually segmented images. Theses shape and volumetric descriptors are used to distinguish the patients with temporal lobe epilepsy (TLE) (N = 55) from healthy control subjects (N = 12, age = 32.2 ± 9.1, sex (M/F) = 6/6) and patients with right TLE (N = 26, age = 45.1 ± 11.0, sex (M/F) = 9/17) from left TLE (N = 29, age = 45.4 ± 11.9, sex (M/F) = 10/19). Experimental results illustrate the usefulness of the proposed approach for the diagnosis and lateralization of TLE with 93.0% and 86.4% of the cases, respectively. Moreover, the proposed method outperforms the volumetric analysis in terms of both sensitivity (94.9% vs. 88.1%) and specificity (83.3% vs. 50.0%) of the lateralization. The analysis of local hippocampal thickness variations suggests significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients, while there were no differences between right and left hippocampi in controls. It is anticipated that the proposed method could be advantageous in the presurgical evaluation of patients with drug-resistant epilepsy; however, further validation of the method using a larger dataset is required.  | 
    
| Author | Shishegar, Rosita Gandomkar, Ziba Nazem-Zadeh, Mohammad-Reza Soltanian-Zadeh, Hamid Fallahi, Alireza  | 
    
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| CitedBy_id | crossref_primary_10_1016_j_heliyon_2023_e14854 crossref_primary_10_1016_j_cmpb_2024_108372  | 
    
| Cites_doi | 10.1002/hipo.20620 10.1111/j.1528-1157.1980.tb04315.x 10.1007/b138576 10.1007/s10072-020-04653-6 10.1093/brain/awh197 10.1016/j.media.2006.10.002 10.1016/j.cad.2005.10.011 10.1007/s00234-004-1224-0 10.1016/j.neuroimage.2004.03.040 10.1007/s12021-010-9096-4 10.1093/bioinformatics/btm503 10.1109/TMI.2017.2787589 10.1046/j.1528-1157.2003.45902.x 10.1002/ana.410290210 10.1148/radiology.202.2.9015081 10.1016/j.neuroimage.2013.01.058 10.1109/TMI.2002.804426 10.1109/TPAMI.2002.1017616 10.1109/TVCG.2016.2598790 10.1006/nimg.2002.1132 10.1145/601858.601862 10.1016/j.neuroimage.2004.12.051 10.1007/978-3-540-39903-2_57 10.1080/1360786031000120732 10.1016/j.biopsych.2003.08.005 10.1007/978-3-030-03574-7_13 10.1145/1391729.1391731 10.1007/978-3-319-03813-1_1 10.1016/j.cad.2009.02.007 10.1007/s00454-003-2926-5 10.1007/s11263-009-0278-1 10.1016/j.neuroimage.2021.117751 10.1109/EMBC.2016.7591614 10.1109/AISP.2012.6313774 10.1109/MMBIA.2001.991731 10.1109/ISBI.2015.7164106 10.1007/978-3-642-23629-7_43 10.1145/218380.218439 10.1007/s10072-020-05003-2 10.1117/12.911740 10.54294/owxzil  | 
    
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| Keywords | MS complex Levelset Shape analysis Statistical analysis Beltrami eigenvalues and eigenfunctions Temporal lobe epilepsy (TLE) Hippocampus Laplace Unsupervised clustering  | 
    
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| SubjectTerms | Age Drug resistance Eigenvalues Epilepsy Hemispheric laterality Hippocampus Isometric Magnetic resonance imaging Medicine Medicine & Public Health Neurology Neuroradiology Neurosciences Neurosurgery Original Article Psychiatry Sex Temporal lobe Volumetric analysis  | 
    
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| Title | Global and local shape features of the hippocampus based on Laplace–Beltrami eigenvalues and eigenfunctions: a potential application in the lateralization of temporal lobe epilepsy | 
    
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