Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study
This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and 25 controls underwent magnetoencephalography and MRI recordings. The activity of the brain areas was reconstructed, an...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158218302420 |
| _version_ | 1819017720876761088 |
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| author | Pierpaolo Sorrentino Rosaria Rucco Francesca Jacini Francesca Trojsi Anna Lardone Fabio Baselice Cinzia Femiano Gabriella Santangelo Carmine Granata Antonio Vettoliere Maria Rosaria Monsurrò Gioacchino Tedeschi Giuseppe Sorrentino |
| author_facet | Pierpaolo Sorrentino Rosaria Rucco Francesca Jacini Francesca Trojsi Anna Lardone Fabio Baselice Cinzia Femiano Gabriella Santangelo Carmine Granata Antonio Vettoliere Maria Rosaria Monsurrò Gioacchino Tedeschi Giuseppe Sorrentino |
| author_sort | Pierpaolo Sorrentino |
| collection | DOAJ |
| description | This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and 25 controls underwent magnetoencephalography and MRI recordings. The activity of the brain areas was reconstructed, and the synchronization between them was estimated in the classical frequency bands using the phase lag index. Brain topological metrics such as the leaf fraction (number of nodes with degree of 1), the degree divergence (a measure of the scale-freeness) and the degree correlation (a measure of disassortativity) were estimated. Betweenness centrality was used to estimate the centrality of the brain areas.In all frequency bands, it was evident that, the more advanced the disease, the more connected, scale-free and disassortative the brain networks. No differences were evident in specific brain areas. Such modified brain topology is sub-optimal as compared to controls. Within this framework, our study shows that brain networks become more connected according to disease staging in ALS patients. Keywords: Motor neuron disease, Connectivity, Magnetic source imaging, Neuroimaging biomarker |
| first_indexed | 2024-12-21T03:08:01Z |
| format | Article |
| id | doaj.art-6476c047c1a4488ab463ff0a89deb30b |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-21T03:08:01Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-6476c047c1a4488ab463ff0a89deb30b2022-12-21T19:18:03ZengElsevierNeuroImage: Clinical2213-15822018-01-0120564571Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic studyPierpaolo Sorrentino0Rosaria Rucco1Francesca Jacini2Francesca Trojsi3Anna Lardone4Fabio Baselice5Cinzia Femiano6Gabriella Santangelo7Carmine Granata8Antonio Vettoliere9Maria Rosaria Monsurrò10Gioacchino Tedeschi11Giuseppe Sorrentino12Department of Engineering - University of Naples “Parthenope”, Centro Direzionale Isola C4, 80133 Naples, Italy; Institute for High Performance Computing and Networking, CNR, via Pietro Castellino 111, 80131 Naples, Italy; Corresponding author at: Department of Engineering, Centro Direzionale, Isola C4, 80143 Naples, Italy.Department of Motor Sciences and Wellness - University of Naples “Parthenope”, via Medina 40, 80133 Naples, ItalyDepartment of Motor Sciences and Wellness - University of Naples “Parthenope”, via Medina 40, 80133 Naples, Italy; Hermitage Capodimonte Hospital, via Cupa delle Tozzole 2, 80131 Naples, ItalyDepartment of Medical, Surgical, Neurological, Metabolic and Aging Sciences - MRI Research Center SUN-FISM, University of Campania ''Luigi Vanvitelli'', P.zza Miraglia 2, 80138 Naples, ItalyDepartment of Motor Sciences and Wellness - University of Naples “Parthenope”, via Medina 40, 80133 Naples, Italy; Hermitage Capodimonte Hospital, via Cupa delle Tozzole 2, 80131 Naples, ItalyDepartment of Engineering - University of Naples “Parthenope”, Centro Direzionale Isola C4, 80133 Naples, ItalyDepartment of Medical, Surgical, Neurological, Metabolic and Aging Sciences - MRI Research Center SUN-FISM, University of Campania ''Luigi Vanvitelli'', P.zza Miraglia 2, 80138 Naples, ItalyDepartment of Psychology, University of Campania ''Luigi Vanvitelli'', viale Ellittico 31, 80100 Caserta, ItalyInstitute of Applied Sciences and Intelligent Systems, CNR, via Campi Flegrei 34, 80078 Pozzuoli, NA, ItalyInstitute of Applied Sciences and Intelligent Systems, CNR, via Campi Flegrei 34, 80078 Pozzuoli, NA, ItalyDepartment of Medical, Surgical, Neurological, Metabolic and Aging Sciences - MRI Research Center SUN-FISM, University of Campania ''Luigi Vanvitelli'', P.zza Miraglia 2, 80138 Naples, ItalyDepartment of Medical, Surgical, Neurological, Metabolic and Aging Sciences - MRI Research Center SUN-FISM, University of Campania ''Luigi Vanvitelli'', P.zza Miraglia 2, 80138 Naples, ItalyDepartment of Motor Sciences and Wellness - University of Naples “Parthenope”, via Medina 40, 80133 Naples, Italy; Hermitage Capodimonte Hospital, via Cupa delle Tozzole 2, 80131 Naples, ItalyThis study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and 25 controls underwent magnetoencephalography and MRI recordings. The activity of the brain areas was reconstructed, and the synchronization between them was estimated in the classical frequency bands using the phase lag index. Brain topological metrics such as the leaf fraction (number of nodes with degree of 1), the degree divergence (a measure of the scale-freeness) and the degree correlation (a measure of disassortativity) were estimated. Betweenness centrality was used to estimate the centrality of the brain areas.In all frequency bands, it was evident that, the more advanced the disease, the more connected, scale-free and disassortative the brain networks. No differences were evident in specific brain areas. Such modified brain topology is sub-optimal as compared to controls. Within this framework, our study shows that brain networks become more connected according to disease staging in ALS patients. Keywords: Motor neuron disease, Connectivity, Magnetic source imaging, Neuroimaging biomarkerhttp://www.sciencedirect.com/science/article/pii/S2213158218302420 |
| spellingShingle | Pierpaolo Sorrentino Rosaria Rucco Francesca Jacini Francesca Trojsi Anna Lardone Fabio Baselice Cinzia Femiano Gabriella Santangelo Carmine Granata Antonio Vettoliere Maria Rosaria Monsurrò Gioacchino Tedeschi Giuseppe Sorrentino Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study NeuroImage: Clinical |
| title | Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study |
| title_full | Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study |
| title_fullStr | Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study |
| title_full_unstemmed | Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study |
| title_short | Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study |
| title_sort | brain functional networks become more connected as amyotrophic lateral sclerosis progresses a source level magnetoencephalographic study |
| url | http://www.sciencedirect.com/science/article/pii/S2213158218302420 |
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