Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks
Functional and effective connectivity of cortical areas are essential for normal brain function under different behavioral states. Appropriate cortical activity during sleep and wakefulness is ensured by the balanced activity of excitatory and inhibitory circuits. Ultimately, fast, millisecond corti...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Neural Plasticity |
| Online Access: | http://dx.doi.org/10.1155/2016/1478684 |
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| author | Amaury Vanvinckenroye Gilles Vandewalle Christophe Phillips Sarah L. Chellappa |
| author_facet | Amaury Vanvinckenroye Gilles Vandewalle Christophe Phillips Sarah L. Chellappa |
| author_sort | Amaury Vanvinckenroye |
| collection | DOAJ |
| description | Functional and effective connectivity of cortical areas are essential for normal brain function under different behavioral states. Appropriate cortical activity during sleep and wakefulness is ensured by the balanced activity of excitatory and inhibitory circuits. Ultimately, fast, millisecond cortical rhythmic oscillations shape cortical function in time and space. On a much longer time scale, brain function also depends on prior sleep-wake history and circadian processes. However, much remains to be established on how the brain operates at the neuronal level in humans during sleep and wakefulness. A key limitation of human neuroscience is the difficulty in isolating neuronal excitation/inhibition drive in vivo. Therefore, computational models are noninvasive approaches of choice to indirectly access hidden neuronal states. In this review, we present a physiologically driven in silico approach, Dynamic Causal Modelling (DCM), as a means to comprehend brain function under different experimental paradigms. Importantly, DCM has allowed for the understanding of how brain dynamics underscore brain plasticity, cognition, and different states of consciousness. In a broader perspective, noninvasive computational approaches, such as DCM, may help to puzzle out the spatial and temporal dynamics of human brain function at different behavioural states. |
| format | Article |
| id | doaj-art-ad2518857a3c41f99ab7f8938c227b1e |
| institution | Kabale University |
| issn | 2090-5904 1687-5443 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Neural Plasticity |
| spelling | doaj-art-ad2518857a3c41f99ab7f8938c227b1e2025-02-03T01:11:39ZengWileyNeural Plasticity2090-59041687-54432016-01-01201610.1155/2016/14786841478684Eyes Open on Sleep and Wake: In Vivo to In Silico Neural NetworksAmaury Vanvinckenroye0Gilles Vandewalle1Christophe Phillips2Sarah L. Chellappa3Cyclotron Research Centre, University of Liège, 8 Allée du 6 Août, Bâtiment B30, 4000 Liège, BelgiumCyclotron Research Centre, University of Liège, 8 Allée du 6 Août, Bâtiment B30, 4000 Liège, BelgiumCyclotron Research Centre, University of Liège, 8 Allée du 6 Août, Bâtiment B30, 4000 Liège, BelgiumCyclotron Research Centre, University of Liège, 8 Allée du 6 Août, Bâtiment B30, 4000 Liège, BelgiumFunctional and effective connectivity of cortical areas are essential for normal brain function under different behavioral states. Appropriate cortical activity during sleep and wakefulness is ensured by the balanced activity of excitatory and inhibitory circuits. Ultimately, fast, millisecond cortical rhythmic oscillations shape cortical function in time and space. On a much longer time scale, brain function also depends on prior sleep-wake history and circadian processes. However, much remains to be established on how the brain operates at the neuronal level in humans during sleep and wakefulness. A key limitation of human neuroscience is the difficulty in isolating neuronal excitation/inhibition drive in vivo. Therefore, computational models are noninvasive approaches of choice to indirectly access hidden neuronal states. In this review, we present a physiologically driven in silico approach, Dynamic Causal Modelling (DCM), as a means to comprehend brain function under different experimental paradigms. Importantly, DCM has allowed for the understanding of how brain dynamics underscore brain plasticity, cognition, and different states of consciousness. In a broader perspective, noninvasive computational approaches, such as DCM, may help to puzzle out the spatial and temporal dynamics of human brain function at different behavioural states.http://dx.doi.org/10.1155/2016/1478684 |
| spellingShingle | Amaury Vanvinckenroye Gilles Vandewalle Christophe Phillips Sarah L. Chellappa Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks Neural Plasticity |
| title | Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks |
| title_full | Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks |
| title_fullStr | Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks |
| title_full_unstemmed | Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks |
| title_short | Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks |
| title_sort | eyes open on sleep and wake in vivo to in silico neural networks |
| url | http://dx.doi.org/10.1155/2016/1478684 |
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