Objective: We investigated resting-state (RS)-fMRI using independent component analysis (ICA) to determine the functional connectivity (FC) between networks in chronic migraine (CM) patients and their correlation with clinical features. Methods: Twenty CM patients without preventive therapy or acute medication overuse underwent 3T MRI scans and were compared to a group of 20 healthy controls (HC). We used MRI to collect RS data in 3 selected networks, identified using group ICA: the default mode network (DMN), the executive control network (ECN), and the dorsal attention system (DAS). Results: Compared to HC, CM patients had significantly reduced functional connectivity between the DMN and the ECN. Moreover, in patients, the DAS showed significantly stronger FC with the DMN and weaker FC with the ECN. The higher the severity of headache, the increased the strength of DAS connectivity, and the lower the strength of ECN connectivity. Conclusion: These results provide evidence for large-scale reorganization of functional cortical networks in chronic migraine. They suggest that the severity of headache is associated with opposite connectivity patterns in frontal executive and dorsal attentional networks.

Aberrant interactions of cortical networks in chronic migraine: A resting-state fMRI study / Coppola, Gianluca; DI RENZO, Antonio; Petolicchio, Barbara; Tinelli, Emanuele; DI LORENZO, Cherubino; Parisi, Vincenzo; Serrao, Mariano; Calistri, Valentina; Tardioli, Stefano; Cartocci, Gaia; Schoenen, Jean; Caramia, Francesca; DI PIERO, Vittorio; Pierelli, Francesco. - In: NEUROLOGY. - ISSN 0028-3878. - 92:22(2019), pp. e2550-e2558. [10.1212/WNL.0000000000007577]

Aberrant interactions of cortical networks in chronic migraine: A resting-state fMRI study

Gianluca Coppola;Antonio Di Renzo;Barbara Petolicchio;Emanuele Tinelli;Cherubino Di Lorenzo;Mariano Serrao;Valentina Calistri;Stefano Tardioli;Gaia Cartocci;Francesca Caramia;Vittorio Di Piero;Francesco Pierelli
2019

Abstract

Objective: We investigated resting-state (RS)-fMRI using independent component analysis (ICA) to determine the functional connectivity (FC) between networks in chronic migraine (CM) patients and their correlation with clinical features. Methods: Twenty CM patients without preventive therapy or acute medication overuse underwent 3T MRI scans and were compared to a group of 20 healthy controls (HC). We used MRI to collect RS data in 3 selected networks, identified using group ICA: the default mode network (DMN), the executive control network (ECN), and the dorsal attention system (DAS). Results: Compared to HC, CM patients had significantly reduced functional connectivity between the DMN and the ECN. Moreover, in patients, the DAS showed significantly stronger FC with the DMN and weaker FC with the ECN. The higher the severity of headache, the increased the strength of DAS connectivity, and the lower the strength of ECN connectivity. Conclusion: These results provide evidence for large-scale reorganization of functional cortical networks in chronic migraine. They suggest that the severity of headache is associated with opposite connectivity patterns in frontal executive and dorsal attentional networks.
2019
resting-state; fMRI, migraine
01 Pubblicazione su rivista::01a Articolo in rivista
Aberrant interactions of cortical networks in chronic migraine: A resting-state fMRI study / Coppola, Gianluca; DI RENZO, Antonio; Petolicchio, Barbara; Tinelli, Emanuele; DI LORENZO, Cherubino; Parisi, Vincenzo; Serrao, Mariano; Calistri, Valentina; Tardioli, Stefano; Cartocci, Gaia; Schoenen, Jean; Caramia, Francesca; DI PIERO, Vittorio; Pierelli, Francesco. - In: NEUROLOGY. - ISSN 0028-3878. - 92:22(2019), pp. e2550-e2558. [10.1212/WNL.0000000000007577]
File allegati a questo prodotto
File Dimensione Formato  
04_Neurology_2019.pdf

solo gestori archivio

Note: Coppola_Aberrant interactions_2019
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.78 MB
Formato Adobe PDF
2.78 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1652402
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 48
  • ???jsp.display-item.citation.isi??? 45
social impact