A multi-scale study of thalamic state-dependent responsiveness.
The thalamus is the brain's central relay station, orchestrating sensory processing and cognitive functions. However, how thalamic function depends on internal and external states, is not well understood. A comprehensive understanding would necessitate the integration of single cell dynamics wi...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012262 |
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| author | Jorin Overwiening Federico Tesler Domenico Guarino Alain Destexhe |
| author_facet | Jorin Overwiening Federico Tesler Domenico Guarino Alain Destexhe |
| author_sort | Jorin Overwiening |
| collection | DOAJ |
| description | The thalamus is the brain's central relay station, orchestrating sensory processing and cognitive functions. However, how thalamic function depends on internal and external states, is not well understood. A comprehensive understanding would necessitate the integration of single cell dynamics with their collective behavior at population level. For this we propose a biologically realistic mean-field model of the thalamus, describing thalamocortical relay neurons (TC) and thalamic reticular neurons (RE). We perform a multi-scale study of thalamic responsiveness and its dependence on cell and brain states. Building upon existing single-cell experiments we show that: (1) Awake and sleep-like states can be defined via the absence/presence of the neuromodulator acetylcholine (ACh), which indirectly controls bursting in TC and RE. (2) Thalamic response to sensory stimuli is linear in awake state and becomes nonlinear in sleep state, while cortical input generates nonlinear response in both awake and sleep state. (3) Stimulus response is controlled by cortical input, which suppresses responsiveness in awake state while it 'wakes-up' the thalamus in sleep state promoting a linear response. (4) Synaptic noise induces a global linear responsiveness, diminishing the difference in response between thalamic states. Finally, the model replicates spindle oscillations within a sleep-like state, exhibiting a qualitative change in activity and responsiveness. The development of this thalamic mean-field model provides a new tool for incorporating detailed thalamic dynamics in large scale brain simulations. |
| format | Article |
| id | doaj-art-8341d0cf2602477bb9f909366e4758f9 |
| institution | OA Journals |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-8341d0cf2602477bb9f909366e4758f92025-08-20T01:58:04ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582024-12-012012e101226210.1371/journal.pcbi.1012262A multi-scale study of thalamic state-dependent responsiveness.Jorin OverwieningFederico TeslerDomenico GuarinoAlain DestexheThe thalamus is the brain's central relay station, orchestrating sensory processing and cognitive functions. However, how thalamic function depends on internal and external states, is not well understood. A comprehensive understanding would necessitate the integration of single cell dynamics with their collective behavior at population level. For this we propose a biologically realistic mean-field model of the thalamus, describing thalamocortical relay neurons (TC) and thalamic reticular neurons (RE). We perform a multi-scale study of thalamic responsiveness and its dependence on cell and brain states. Building upon existing single-cell experiments we show that: (1) Awake and sleep-like states can be defined via the absence/presence of the neuromodulator acetylcholine (ACh), which indirectly controls bursting in TC and RE. (2) Thalamic response to sensory stimuli is linear in awake state and becomes nonlinear in sleep state, while cortical input generates nonlinear response in both awake and sleep state. (3) Stimulus response is controlled by cortical input, which suppresses responsiveness in awake state while it 'wakes-up' the thalamus in sleep state promoting a linear response. (4) Synaptic noise induces a global linear responsiveness, diminishing the difference in response between thalamic states. Finally, the model replicates spindle oscillations within a sleep-like state, exhibiting a qualitative change in activity and responsiveness. The development of this thalamic mean-field model provides a new tool for incorporating detailed thalamic dynamics in large scale brain simulations.https://doi.org/10.1371/journal.pcbi.1012262 |
| spellingShingle | Jorin Overwiening Federico Tesler Domenico Guarino Alain Destexhe A multi-scale study of thalamic state-dependent responsiveness. PLoS Computational Biology |
| title | A multi-scale study of thalamic state-dependent responsiveness. |
| title_full | A multi-scale study of thalamic state-dependent responsiveness. |
| title_fullStr | A multi-scale study of thalamic state-dependent responsiveness. |
| title_full_unstemmed | A multi-scale study of thalamic state-dependent responsiveness. |
| title_short | A multi-scale study of thalamic state-dependent responsiveness. |
| title_sort | multi scale study of thalamic state dependent responsiveness |
| url | https://doi.org/10.1371/journal.pcbi.1012262 |
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