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Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy

BACKGROUND: Surgery may render temporal lobe epilepsy (TLE) patients seizure-free. However, TLE is a heterogenous entity and surgical prognosis varies between patients. Network-based biomarkers have been shown to be altered in TLE patients and hold promise for classifying TLE subtypes and improving...

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Autores principales: Sala-Padro, Jacint, Miró, Júlia, Rodriguez-Fornells, Antoni, Rifa-Ros, Xavier, Plans, Gerard, Santurino, Mila, Falip, Mercè, Càmara, Estela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579661/
https://www.ncbi.nlm.nih.gov/pubmed/34758783
http://dx.doi.org/10.1186/s12883-021-02469-1
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author Sala-Padro, Jacint
Miró, Júlia
Rodriguez-Fornells, Antoni
Rifa-Ros, Xavier
Plans, Gerard
Santurino, Mila
Falip, Mercè
Càmara, Estela
author_facet Sala-Padro, Jacint
Miró, Júlia
Rodriguez-Fornells, Antoni
Rifa-Ros, Xavier
Plans, Gerard
Santurino, Mila
Falip, Mercè
Càmara, Estela
author_sort Sala-Padro, Jacint
collection PubMed
description BACKGROUND: Surgery may render temporal lobe epilepsy (TLE) patients seizure-free. However, TLE is a heterogenous entity and surgical prognosis varies between patients. Network-based biomarkers have been shown to be altered in TLE patients and hold promise for classifying TLE subtypes and improving pre-surgical prognosis. The aim of the present study is to investigate a network-based biomarker, the weighted degree of connectivity (wDC), on an individual level, and its relation to TLE subtypes and surgical prognosis. METHODS: Thirty unilateral TLE patients undergoing the same surgical procedure (anterior temporal resection) and 18 healthy controls were included. All patients were followed-up in the same center for a mean time of 6.85 years and classified as seizure-free (SF) and non seizure-free (non-SF). Using pre-surgical resting state functional MRI, whole brain wDC values for patients and controls were calculated. Then, we divided both temporal lobes in three Regions-of-interest (ROIs) -mesial, pole and lateral- as these areas are known to behave differently in seizure onset and propagation, delimiting different TLE profiles. The wDC values for the defined ROIs of each individual patient were compared with the healthy group. RESULTS: After surgery, 14 TLE patients remained SF. As a group, patients had higher wDC than controls in both the temporal pole (p < 0.05) as well as in the mesial regions (p < 0.002) of the to-be-resected temporal lobe. When comparing between SF and non-SF patients, a step-wise binary logistic regression model including all the ROIs, showed that having an increased wDC of the temporal pole (p < 0.05) and the mesial area (p < 0.05) of the to-be-resected temporal lobe was associated with seizure freedom long-term after surgery. CONCLUSIONS: This study provides a network-based presurgical biomarker that could pave the way towards personalized prediction. In patients with TLE undergoing anterior temporal resections, having an increased wDC at rest could be a signature of the epileptogenic area, and could help identifying those patients who would benefit most from surgery.
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spelling pubmed-85796612021-11-10 Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy Sala-Padro, Jacint Miró, Júlia Rodriguez-Fornells, Antoni Rifa-Ros, Xavier Plans, Gerard Santurino, Mila Falip, Mercè Càmara, Estela BMC Neurol Research BACKGROUND: Surgery may render temporal lobe epilepsy (TLE) patients seizure-free. However, TLE is a heterogenous entity and surgical prognosis varies between patients. Network-based biomarkers have been shown to be altered in TLE patients and hold promise for classifying TLE subtypes and improving pre-surgical prognosis. The aim of the present study is to investigate a network-based biomarker, the weighted degree of connectivity (wDC), on an individual level, and its relation to TLE subtypes and surgical prognosis. METHODS: Thirty unilateral TLE patients undergoing the same surgical procedure (anterior temporal resection) and 18 healthy controls were included. All patients were followed-up in the same center for a mean time of 6.85 years and classified as seizure-free (SF) and non seizure-free (non-SF). Using pre-surgical resting state functional MRI, whole brain wDC values for patients and controls were calculated. Then, we divided both temporal lobes in three Regions-of-interest (ROIs) -mesial, pole and lateral- as these areas are known to behave differently in seizure onset and propagation, delimiting different TLE profiles. The wDC values for the defined ROIs of each individual patient were compared with the healthy group. RESULTS: After surgery, 14 TLE patients remained SF. As a group, patients had higher wDC than controls in both the temporal pole (p < 0.05) as well as in the mesial regions (p < 0.002) of the to-be-resected temporal lobe. When comparing between SF and non-SF patients, a step-wise binary logistic regression model including all the ROIs, showed that having an increased wDC of the temporal pole (p < 0.05) and the mesial area (p < 0.05) of the to-be-resected temporal lobe was associated with seizure freedom long-term after surgery. CONCLUSIONS: This study provides a network-based presurgical biomarker that could pave the way towards personalized prediction. In patients with TLE undergoing anterior temporal resections, having an increased wDC at rest could be a signature of the epileptogenic area, and could help identifying those patients who would benefit most from surgery. BioMed Central 2021-11-10 /pmc/articles/PMC8579661/ /pubmed/34758783 http://dx.doi.org/10.1186/s12883-021-02469-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sala-Padro, Jacint
Miró, Júlia
Rodriguez-Fornells, Antoni
Rifa-Ros, Xavier
Plans, Gerard
Santurino, Mila
Falip, Mercè
Càmara, Estela
Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title_full Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title_fullStr Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title_full_unstemmed Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title_short Mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
title_sort mapping connectivity fingerprints for presurgical evaluation of temporal lobe epilepsy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579661/
https://www.ncbi.nlm.nih.gov/pubmed/34758783
http://dx.doi.org/10.1186/s12883-021-02469-1
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