Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unrespons...
| Main Authors: | , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Public Library of Science
2024
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| _version_ | 1826313605699600384 |
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| author | Dagnino, PC Escrichs, A López-González, A Gosseries, O Annen, J Sanz Perl, Y Kringelbach, ML Laureys, S Deco, G |
| author_facet | Dagnino, PC Escrichs, A López-González, A Gosseries, O Annen, J Sanz Perl, Y Kringelbach, ML Laureys, S Deco, G |
| author_sort | Dagnino, PC |
| collection | OXFORD |
| description | A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness. |
| first_indexed | 2024-09-25T04:15:51Z |
| format | Journal article |
| id | oxford-uuid:a3b96718-a72d-45c4-ad01-d9e5dc3e3f94 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:15:51Z |
| publishDate | 2024 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oxford-uuid:a3b96718-a72d-45c4-ad01-d9e5dc3e3f942024-07-20T14:46:39ZRe-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a3b96718-a72d-45c4-ad01-d9e5dc3e3f94EnglishJisc Publications RouterPublic Library of Science2024Dagnino, PCEscrichs, ALópez-González, AGosseries, OAnnen, JSanz Perl, YKringelbach, MLLaureys, SDeco, GA fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness. |
| spellingShingle | Dagnino, PC Escrichs, A López-González, A Gosseries, O Annen, J Sanz Perl, Y Kringelbach, ML Laureys, S Deco, G Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title | Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title_full | Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title_fullStr | Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title_full_unstemmed | Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title_short | Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation |
| title_sort | re awakening the brain forcing transitions in disorders of consciousness by external in silico perturbation |
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