Emergence and fragmentation of the alpha-band driven by neuronal network dynamics.
Rhythmic neuronal network activity underlies brain oscillations. To investigate how connected neuronal networks contribute to the emergence of the α-band and to the regulation of Up and Down states, we study a model based on synaptic short-term depression-facilitation with afterhyperpolarization (AH...
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Public Library of Science (PLoS)
2021-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009639&type=printable |
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| author | Lou Zonca David Holcman |
| author_facet | Lou Zonca David Holcman |
| author_sort | Lou Zonca |
| collection | DOAJ |
| description | Rhythmic neuronal network activity underlies brain oscillations. To investigate how connected neuronal networks contribute to the emergence of the α-band and to the regulation of Up and Down states, we study a model based on synaptic short-term depression-facilitation with afterhyperpolarization (AHP). We found that the α-band is generated by the network behavior near the attractor of the Up-state. Coupling inhibitory and excitatory networks by reciprocal connections leads to the emergence of a stable α-band during the Up states, as reflected in the spectrogram. To better characterize the emergence and stability of thalamocortical oscillations containing α and δ rhythms during anesthesia, we model the interaction of two excitatory networks with one inhibitory network, showing that this minimal topology underlies the generation of a persistent α-band in the neuronal voltage characterized by dominant Up over Down states. Finally, we show that the emergence of the α-band appears when external inputs are suppressed, while fragmentation occurs at small synaptic noise or with increasing inhibitory inputs. To conclude, α-oscillations could result from the synaptic dynamics of interacting excitatory neuronal networks with and without AHP, a principle that could apply to other rhythms. |
| format | Article |
| id | doaj-art-9fb935c3cfb84607be7eb626f9b5b8be |
| institution | OA Journals |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-9fb935c3cfb84607be7eb626f9b5b8be2025-08-20T02:18:04ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-12-011712e100963910.1371/journal.pcbi.1009639Emergence and fragmentation of the alpha-band driven by neuronal network dynamics.Lou ZoncaDavid HolcmanRhythmic neuronal network activity underlies brain oscillations. To investigate how connected neuronal networks contribute to the emergence of the α-band and to the regulation of Up and Down states, we study a model based on synaptic short-term depression-facilitation with afterhyperpolarization (AHP). We found that the α-band is generated by the network behavior near the attractor of the Up-state. Coupling inhibitory and excitatory networks by reciprocal connections leads to the emergence of a stable α-band during the Up states, as reflected in the spectrogram. To better characterize the emergence and stability of thalamocortical oscillations containing α and δ rhythms during anesthesia, we model the interaction of two excitatory networks with one inhibitory network, showing that this minimal topology underlies the generation of a persistent α-band in the neuronal voltage characterized by dominant Up over Down states. Finally, we show that the emergence of the α-band appears when external inputs are suppressed, while fragmentation occurs at small synaptic noise or with increasing inhibitory inputs. To conclude, α-oscillations could result from the synaptic dynamics of interacting excitatory neuronal networks with and without AHP, a principle that could apply to other rhythms.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009639&type=printable |
| spellingShingle | Lou Zonca David Holcman Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. PLoS Computational Biology |
| title | Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. |
| title_full | Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. |
| title_fullStr | Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. |
| title_full_unstemmed | Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. |
| title_short | Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. |
| title_sort | emergence and fragmentation of the alpha band driven by neuronal network dynamics |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009639&type=printable |
| work_keys_str_mv | AT louzonca emergenceandfragmentationofthealphabanddrivenbyneuronalnetworkdynamics AT davidholcman emergenceandfragmentationofthealphabanddrivenbyneuronalnetworkdynamics |