Disconnectome of the migraine brain : a "connectopathy" model
© 2021. The Author(s)..
BACKGROUND: In the past decades a plethora of studies has been conducted to explore resting-state functional connectivity (RS-FC) of the brain networks in migraine with conflicting results probably due to the variability and susceptibility of signal fluctuations across the course of RS-FC scan. On the other hand, the structural substrates enabling the functional communications among the brain connectome, characterized by higher stability and reproducibility, have not been widely investigated in migraine by means of graph analysis approach. We hypothesize a rearrangement of the brain connectome with an increase of both strength and density of connections between cortical areas specifically involved in pain perception, processing and modulation in migraine patients. Moreover, such connectome rearrangement, inducing an imbalance between the competing parameters of network efficiency and segregation, may underpin a mismatch between energy resources and demand representing the neuronal correlate of the energetically dysfunctional migraine brain.
METHODS: We investigated, using diffusion-weighted MRI imaging tractography-based graph analysis, the graph-topological indices of the brain "connectome", a set of grey matter regions (nodes) structurally connected by white matter paths (edges) in 94 patients with migraine without aura compared to 91 healthy controls.
RESULTS: We observed in migraine patients compared to healthy controls: i) higher local and global network efficiency (p < 0.001) and ii) higher local and global clustering coefficient (p < 0.001). Moreover, we found changes in the hubs topology in migraine patients with: i) posterior cingulate cortex and inferior parietal lobule (encompassing the so-called neurolimbic-pain network) assuming the hub role and ii) fronto-orbital cortex, involved in emotional aspects, and visual areas, involved in migraine pathophysiology, losing the hub role. Finally, we found higher connection (edges) probability between cortical nodes involved in pain perception and modulation as well as in cognitive and affective attribution of pain experiences, in migraine patients when compared to healthy controls (p < 0.001). No correlations were found between imaging and clinical parameters of disease severity.
CONCLUSION: The imbalance between the need of investing resources to promote network efficiency and the need of minimizing the metabolic cost of wiring probably represents the mechanism underlying migraine patients' susceptibility to triggers. Such changes in connectome topography suggest an intriguing pathophysiological model of migraine as brain "connectopathy".
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
The journal of headache and pain - 22(2021), 1 vom: 28. Aug., Seite 102 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Silvestro, Marcello [VerfasserIn] |
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| Links: |
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| Themen: |
Advanced neuroimaging |
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| Anmerkungen: |
Date Completed 31.08.2021 Date Revised 03.09.2021 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s10194-021-01315-6 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM329972472 |
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| 100 | 1 | |a Silvestro, Marcello |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Disconnectome of the migraine brain |b a "connectopathy" model |
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| 500 | |a Date Revised 03.09.2021 | ||
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a BACKGROUND: In the past decades a plethora of studies has been conducted to explore resting-state functional connectivity (RS-FC) of the brain networks in migraine with conflicting results probably due to the variability and susceptibility of signal fluctuations across the course of RS-FC scan. On the other hand, the structural substrates enabling the functional communications among the brain connectome, characterized by higher stability and reproducibility, have not been widely investigated in migraine by means of graph analysis approach. We hypothesize a rearrangement of the brain connectome with an increase of both strength and density of connections between cortical areas specifically involved in pain perception, processing and modulation in migraine patients. Moreover, such connectome rearrangement, inducing an imbalance between the competing parameters of network efficiency and segregation, may underpin a mismatch between energy resources and demand representing the neuronal correlate of the energetically dysfunctional migraine brain | ||
| 520 | |a METHODS: We investigated, using diffusion-weighted MRI imaging tractography-based graph analysis, the graph-topological indices of the brain "connectome", a set of grey matter regions (nodes) structurally connected by white matter paths (edges) in 94 patients with migraine without aura compared to 91 healthy controls | ||
| 520 | |a RESULTS: We observed in migraine patients compared to healthy controls: i) higher local and global network efficiency (p < 0.001) and ii) higher local and global clustering coefficient (p < 0.001). Moreover, we found changes in the hubs topology in migraine patients with: i) posterior cingulate cortex and inferior parietal lobule (encompassing the so-called neurolimbic-pain network) assuming the hub role and ii) fronto-orbital cortex, involved in emotional aspects, and visual areas, involved in migraine pathophysiology, losing the hub role. Finally, we found higher connection (edges) probability between cortical nodes involved in pain perception and modulation as well as in cognitive and affective attribution of pain experiences, in migraine patients when compared to healthy controls (p < 0.001). No correlations were found between imaging and clinical parameters of disease severity | ||
| 520 | |a CONCLUSION: The imbalance between the need of investing resources to promote network efficiency and the need of minimizing the metabolic cost of wiring probably represents the mechanism underlying migraine patients' susceptibility to triggers. Such changes in connectome topography suggest an intriguing pathophysiological model of migraine as brain "connectopathy" | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Advanced neuroimaging | |
| 650 | 4 | |a Brain network | |
| 650 | 4 | |a Connectome | |
| 650 | 4 | |a Graph analysis | |
| 650 | 4 | |a Migraine | |
| 700 | 1 | |a Tessitore, Alessandro |e verfasserin |4 aut | |
| 700 | 1 | |a Caiazzo, Giuseppina |e verfasserin |4 aut | |
| 700 | 1 | |a Scotto di Clemente, Fabrizio |e verfasserin |4 aut | |
| 700 | 1 | |a Trojsi, Francesca |e verfasserin |4 aut | |
| 700 | 1 | |a Cirillo, Mario |e verfasserin |4 aut | |
| 700 | 1 | |a Esposito, Fabrizio |e verfasserin |4 aut | |
| 700 | 1 | |a Tedeschi, Gioacchino |e verfasserin |4 aut | |
| 700 | 1 | |a Russo, Antonio |e verfasserin |4 aut | |
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