Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework
Published on: 11 February 2025
| Autores: | , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/73963 |
| Acceso en línea: | http://hdl.handle.net/10810/73963 |
| Access Level: | acceso abierto |
| Palabra clave: | Clinical connectome fngerprinting fMRI Functional connectome Longitudinal Migraine Menstrual cycle Resting state |
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Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| title |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| spellingShingle |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework Esteves, Inês Clinical connectome fngerprinting fMRI Functional connectome Longitudinal Migraine Menstrual cycle Resting state |
| title_short |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| title_full |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| title_fullStr |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| title_full_unstemmed |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| title_sort |
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting framework |
| dc.creator.none.fl_str_mv |
Esteves, Inês Fouto, Ana R. Ruiz-Tagle, Amparo Caetano, Gina Nunes, Rita G. da Silva, Nuno A. Vilela, Pedro Pavão Martins, Isabel Gil-Gouveia, Raquel Caballero-Gaudes, César Figueiredo, Patrícia |
| author |
Esteves, Inês |
| author_facet |
Esteves, Inês Fouto, Ana R. Ruiz-Tagle, Amparo Caetano, Gina Nunes, Rita G. da Silva, Nuno A. Vilela, Pedro Pavão Martins, Isabel Gil-Gouveia, Raquel Caballero-Gaudes, César Figueiredo, Patrícia |
| author_role |
author |
| author2 |
Fouto, Ana R. Ruiz-Tagle, Amparo Caetano, Gina Nunes, Rita G. da Silva, Nuno A. Vilela, Pedro Pavão Martins, Isabel Gil-Gouveia, Raquel Caballero-Gaudes, César Figueiredo, Patrícia |
| author2_role |
author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Clinical connectome fngerprinting fMRI Functional connectome Longitudinal Migraine Menstrual cycle Resting state |
| topic |
Clinical connectome fngerprinting fMRI Functional connectome Longitudinal Migraine Menstrual cycle Resting state |
| description |
Published on: 11 February 2025 |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025 2025 |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10810/73963 |
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http://hdl.handle.net/10810/73963 |
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Inglés |
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Inglés |
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https://thejournalofheadacheandpain.biomedcentral.com/ |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
BioMed Central |
| publisher.none.fl_str_mv |
BioMed Central |
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reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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1869417993906159616 |
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Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fngerprinting frameworkEsteves, InêsFouto, Ana R.Ruiz-Tagle, AmparoCaetano, GinaNunes, Rita G.da Silva, Nuno A.Vilela, PedroPavão Martins, IsabelGil-Gouveia, RaquelCaballero-Gaudes, CésarFigueiredo, PatríciaClinical connectome fngerprintingfMRIFunctional connectomeLongitudinalMigraineMenstrual cycleResting statePublished on: 11 February 2025Background Changes in large-scale brain networks have been reported in migraine patients, but it remains unclear how these manifest in the various phases of the migraine cycle. Case-control fMRI studies spanning the entire migraine cycle are lacking, precluding a complete assessment of brain functional connectivity in migraine. Such stud ies are essential for understanding the inherent changes in the brain of migraine patients as well as transient changes along the cycle. Here, we leverage the concept of functional connectome (FC) fngerprinting, whereby individual subjects may be identifed based on their FC, to investigate changes in FC and its stability across diferent phases of the migraine cycle. Methods We employ a case-control longitudinal design to study a group of 10 patients with episodic menstrual or menstrual-related migraine without aura, in the 4 phases of their spontaneous migraine cycle (preictal, ictal, postic tal, interictal), and a group of 14 healthy controls in corresponding phases of the menstrual cycle, using resting-state functional magnetic resonance imaging (fMRI). We propose a novel multilevel clinical connectome fngerprinting approach to analyse the FC identifability not only within-subject, but also within-session and within-group. Results This approach allowed us to obtain individual FC fngerprints by reconstructing the data using the frst 19 principal components to maximize identifability at all levels. We found decreased FC identifability for patients in the preictal phase relative to controls, which increased with the progression of the attack and became comparable to controls in the interictal phase. Using Network-Based Statistic analysis, we found increased FC strength across sev eral brain networks for patients in the ictal and postictal phases relative to controls. Conclusion Our novel multilevel clinical connectome fngerprinting approach captured FC variations along the migraine cycle in a case-control longitudinal study, bringing new insights into the cyclic nature of the disorder.This work was supported by LARSyS FCT funding [DOI: https://doi.org/10. 54499/LA/P/0083/2020, https://doi.org/10.54499/UIDP/50009/2020, and https://doi.org/10.54499/UIDB/50009/2020], PRR project Center for Respon sible AI [grant C645008882-00000055] and FCT [grants PD/BD/150356/2019, PTDC/EMD-EMD/29675/2017, LISBOA-01-0145-FEDER-029675]BioMed Central202520252025info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/73963reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://thejournalofheadacheandpain.biomedcentral.com/info:eu-repo/semantics/openAccess© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modifed the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0oai:addi.ehu.eus:10810/739632026-06-18T09:23:17Z |
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15.811543 |