Re-awakening the brain : forcing transitions in disorders of consciousness by external in silico perturbation
- Author
- Paulina Clara Dagnino, Anira Escrichs, Ane López-González, Olivia Gosseries, Jitka Annen (UGent) , Yonatan Sanz Perl, Morten L. Kringelbach, Steven Laureys and Gustavo Deco
- Organization
- Abstract
- 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.
- Keywords
- PROTEIN, LANGUAGE, EVOLUTION
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JDMMRV8DEVDEX2KHCFDV4QVD
- MLA
- Dagnino, Paulina Clara, et al. “Re-Awakening the Brain : Forcing Transitions in Disorders of Consciousness by External in Silico Perturbation.” PLOS COMPUTATIONAL BIOLOGY, vol. 20, no. 5, 2024, doi:10.1371/journal.pcbi.1011350.
- APA
- Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Sanz Perl, Y., … Deco, G. (2024). Re-awakening the brain : forcing transitions in disorders of consciousness by external in silico perturbation. PLOS COMPUTATIONAL BIOLOGY, 20(5). https://doi.org/10.1371/journal.pcbi.1011350
- Chicago author-date
- Dagnino, Paulina Clara, Anira Escrichs, Ane López-González, Olivia Gosseries, Jitka Annen, Yonatan Sanz Perl, Morten L. Kringelbach, Steven Laureys, and Gustavo Deco. 2024. “Re-Awakening the Brain : Forcing Transitions in Disorders of Consciousness by External in Silico Perturbation.” PLOS COMPUTATIONAL BIOLOGY 20 (5). https://doi.org/10.1371/journal.pcbi.1011350.
- Chicago author-date (all authors)
- Dagnino, Paulina Clara, Anira Escrichs, Ane López-González, Olivia Gosseries, Jitka Annen, Yonatan Sanz Perl, Morten L. Kringelbach, Steven Laureys, and Gustavo Deco. 2024. “Re-Awakening the Brain : Forcing Transitions in Disorders of Consciousness by External in Silico Perturbation.” PLOS COMPUTATIONAL BIOLOGY 20 (5). doi:10.1371/journal.pcbi.1011350.
- Vancouver
- 1.Dagnino PC, Escrichs A, López-González A, Gosseries O, Annen J, Sanz Perl Y, et al. Re-awakening the brain : forcing transitions in disorders of consciousness by external in silico perturbation. PLOS COMPUTATIONAL BIOLOGY. 2024;20(5).
- IEEE
- [1]P. C. Dagnino et al., “Re-awakening the brain : forcing transitions in disorders of consciousness by external in silico perturbation,” PLOS COMPUTATIONAL BIOLOGY, vol. 20, no. 5, 2024.
@article{01JDMMRV8DEVDEX2KHCFDV4QVD,
abstract = {{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.}},
articleno = {{e1011350}},
author = {{Dagnino, Paulina Clara and Escrichs, Anira and López-González, Ane and Gosseries, Olivia and Annen, Jitka and Sanz Perl, Yonatan and Kringelbach, Morten L. and Laureys, Steven and Deco, Gustavo}},
issn = {{1553-734X}},
journal = {{PLOS COMPUTATIONAL BIOLOGY}},
keywords = {{PROTEIN,LANGUAGE,EVOLUTION}},
language = {{eng}},
number = {{5}},
pages = {{29}},
title = {{Re-awakening the brain : forcing transitions in disorders of consciousness by external in silico perturbation}},
url = {{http://doi.org/10.1371/journal.pcbi.1011350}},
volume = {{20}},
year = {{2024}},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: