Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome
Many complex systems, such as the brain, display large-scale coordinated interactions that create ordered patterns. Classically, such patterns have been studied using the framework of criticality, i.e., at a transition point between two qualitatively distinct patterns. This kind of system is general...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2020.550749/full |
| _version_ | 1818162785276657664 |
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| author | Rosaria Rucco Rosaria Rucco Pia Bernardo Pia Bernardo Anna Lardone Fabio Baselice Matteo Pesoli Arianna Polverino Carmela Bravaccio Carmine Granata Laura Mandolesi Giuseppe Sorrentino Giuseppe Sorrentino Giuseppe Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino |
| author_facet | Rosaria Rucco Rosaria Rucco Pia Bernardo Pia Bernardo Anna Lardone Fabio Baselice Matteo Pesoli Arianna Polverino Carmela Bravaccio Carmine Granata Laura Mandolesi Giuseppe Sorrentino Giuseppe Sorrentino Giuseppe Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino |
| author_sort | Rosaria Rucco |
| collection | DOAJ |
| description | Many complex systems, such as the brain, display large-scale coordinated interactions that create ordered patterns. Classically, such patterns have been studied using the framework of criticality, i.e., at a transition point between two qualitatively distinct patterns. This kind of system is generally characterized by a scale-invariant organization, in space and time, optimally described by a power-law distribution whose slope is quantified by an exponent α. The dynamics of these systems is characterized by alternating periods of activations, called avalanches, with quiescent periods. To maximize its efficiency, the system must find a trade-off between its stability and ease of propagation of activation, which is achieved by a branching process. It is quantified by a branching parameter σ defined as the average ratio between the number of activations in consecutive time bins. The brain is itself a complex system and its activity can be described as a series of neuronal avalanches. It is known that critical aspects of brain dynamics are modeled with a branching parameter σ = , and the neuronal avalanches distribution fits well with a power law distribution exponent α = -3/2. The aim of our work was to study a self-organized criticality system in which there was a change in neuronal circuits due to genetic causes. To this end, we have compared the characteristics of neuronal avalanches in a group of 10 patients affected by Rett syndrome, during an open-eye resting-state condition estimated using magnetoencephalography, with respect to 10 healthy subjects. The analysis was performed both in broadband and in the five canonical frequency bands. We found, for both groups, a branching parameter close to 1. In this critical condition, Rett patients show a lower distribution parameter α in the delta and broadband. These results suggest that the large-scale coordination of activity occurs to a lesser extent in RTT patients. |
| first_indexed | 2024-12-11T16:39:11Z |
| format | Article |
| id | doaj.art-4a57ee96b94247acaba97a65bcc7bb97 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-11T16:39:11Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-4a57ee96b94247acaba97a65bcc7bb972022-12-22T00:58:23ZengFrontiers Media S.A.Frontiers in Psychology1664-10782020-10-011110.3389/fpsyg.2020.550749550749Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett SyndromeRosaria Rucco0Rosaria Rucco1Pia Bernardo2Pia Bernardo3Anna Lardone4Fabio Baselice5Matteo Pesoli6Arianna Polverino7Carmela Bravaccio8Carmine Granata9Laura Mandolesi10Giuseppe Sorrentino11Giuseppe Sorrentino12Giuseppe Sorrentino13Pierpaolo Sorrentino14Pierpaolo Sorrentino15Pierpaolo Sorrentino16Department of Motor Sciences and Wellness, University of Naples “Parthenope,”Naples, ItalyInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, ItalyDepartment of Medical and Translational Science, Child Neuropsychiatry Unit, University of Naples “Federico II,”Naples, ItalyDepartment of Neuroscience, Pediatric Psychiatry and Neurology, Santobono-Pausilipon Children’s Hospital, Naples, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope,”Naples, ItalyDepartment of Engineering, University of Naples “Parthenope,”Naples, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope,”Naples, ItalyHermitage Capodimonte Hospital, Naples, ItalyDepartment of Medical and Translational Science, Child Neuropsychiatry Unit, University of Naples “Federico II,”Naples, ItalyInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, ItalyDepartment of Humanistic Studies, University of Naples “Federico II,”Naples, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope,”Naples, ItalyInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, ItalyHermitage Capodimonte Hospital, Naples, ItalyInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, ItalyDepartment of Engineering, University of Naples “Parthenope,”Naples, ItalyInstitut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, FranceMany complex systems, such as the brain, display large-scale coordinated interactions that create ordered patterns. Classically, such patterns have been studied using the framework of criticality, i.e., at a transition point between two qualitatively distinct patterns. This kind of system is generally characterized by a scale-invariant organization, in space and time, optimally described by a power-law distribution whose slope is quantified by an exponent α. The dynamics of these systems is characterized by alternating periods of activations, called avalanches, with quiescent periods. To maximize its efficiency, the system must find a trade-off between its stability and ease of propagation of activation, which is achieved by a branching process. It is quantified by a branching parameter σ defined as the average ratio between the number of activations in consecutive time bins. The brain is itself a complex system and its activity can be described as a series of neuronal avalanches. It is known that critical aspects of brain dynamics are modeled with a branching parameter σ = , and the neuronal avalanches distribution fits well with a power law distribution exponent α = -3/2. The aim of our work was to study a self-organized criticality system in which there was a change in neuronal circuits due to genetic causes. To this end, we have compared the characteristics of neuronal avalanches in a group of 10 patients affected by Rett syndrome, during an open-eye resting-state condition estimated using magnetoencephalography, with respect to 10 healthy subjects. The analysis was performed both in broadband and in the five canonical frequency bands. We found, for both groups, a branching parameter close to 1. In this critical condition, Rett patients show a lower distribution parameter α in the delta and broadband. These results suggest that the large-scale coordination of activity occurs to a lesser extent in RTT patients.https://www.frontiersin.org/articles/10.3389/fpsyg.2020.550749/fullself-organized criticalitycritical stateneuronal avalanchesbranching processmagnetoencephalographyRett syndrome |
| spellingShingle | Rosaria Rucco Rosaria Rucco Pia Bernardo Pia Bernardo Anna Lardone Fabio Baselice Matteo Pesoli Arianna Polverino Carmela Bravaccio Carmine Granata Laura Mandolesi Giuseppe Sorrentino Giuseppe Sorrentino Giuseppe Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino Pierpaolo Sorrentino Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome Frontiers in Psychology self-organized criticality critical state neuronal avalanches branching process magnetoencephalography Rett syndrome |
| title | Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome |
| title_full | Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome |
| title_fullStr | Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome |
| title_full_unstemmed | Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome |
| title_short | Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome |
| title_sort | neuronal avalanches to study the coordination of large scale brain activity application to rett syndrome |
| topic | self-organized criticality critical state neuronal avalanches branching process magnetoencephalography Rett syndrome |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2020.550749/full |
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