Intracranial brain stimulation modulates fMRI-based network switching
The extent to which functional MRI (fMRI) reflects direct neuronal changes remains unknown. Using 160 simultaneous electrical stimulation (es-fMRI) and intracranial brain stimulation recordings acquired in 26 individuals with epilepsy (with varying electrode locations), we tested whether brain netwo...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-08-01
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| Series: | Neurobiology of Disease |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0969996121001509 |
| _version_ | 1819147640455036928 |
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| author | Mangor Pedersen Andrew Zalesky |
| author_facet | Mangor Pedersen Andrew Zalesky |
| author_sort | Mangor Pedersen |
| collection | DOAJ |
| description | The extent to which functional MRI (fMRI) reflects direct neuronal changes remains unknown. Using 160 simultaneous electrical stimulation (es-fMRI) and intracranial brain stimulation recordings acquired in 26 individuals with epilepsy (with varying electrode locations), we tested whether brain networks dynamically change during intracranial brain stimulation, aiming to establish whether switching between brain networks is reduced after intracranial brain stimulation. As the brain spontaneously switches between a repertoire of intrinsic functional network configurations and the rate of switching is likely increased in epilepsy, we hypothesised that intracranial stimulation would reduce the brain's switching rate, thus potentially normalising aberrant brain network dynamics. To test this hypothesis, we quantified the rate that brain regions changed networks over time in response to brain stimulation, using network switching applied to multilayer modularity analysis of time-resolved es-fMRI connectivity. Network switching and synchrony was decreased after the first brain stimulation, followed by a more consistent pattern of network switching over time. This change was commonly observed in cortical networks and adjacent to the electrode targets. Our results suggest that neuronal perturbation is likely to modulate large-scale brain networks, and multilayer network modelling may be used to inform the clinical efficacy of brain stimulation in epilepsy. |
| first_indexed | 2024-12-22T13:33:02Z |
| format | Article |
| id | doaj.art-aed05ca8f4b44d9f9b60c1657a0c6834 |
| institution | Directory Open Access Journal |
| issn | 1095-953X |
| language | English |
| last_indexed | 2024-12-22T13:33:02Z |
| publishDate | 2021-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neurobiology of Disease |
| spelling | doaj.art-aed05ca8f4b44d9f9b60c1657a0c68342022-12-21T18:24:07ZengElsevierNeurobiology of Disease1095-953X2021-08-01156105401Intracranial brain stimulation modulates fMRI-based network switchingMangor Pedersen0Andrew Zalesky1Department of Psychology and Neuroscience, Auckland University of Technology (AUT), Auckland, New Zealand; Corresponding author at: School of Clinical Sciences, Auckland University of Technology (AUT), Private Bag 92006, Victoria St West, New Zealand.Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne, VIC, Australia; Melbourne School of Engineering, The University of Melbourne, VIC, AustraliaThe extent to which functional MRI (fMRI) reflects direct neuronal changes remains unknown. Using 160 simultaneous electrical stimulation (es-fMRI) and intracranial brain stimulation recordings acquired in 26 individuals with epilepsy (with varying electrode locations), we tested whether brain networks dynamically change during intracranial brain stimulation, aiming to establish whether switching between brain networks is reduced after intracranial brain stimulation. As the brain spontaneously switches between a repertoire of intrinsic functional network configurations and the rate of switching is likely increased in epilepsy, we hypothesised that intracranial stimulation would reduce the brain's switching rate, thus potentially normalising aberrant brain network dynamics. To test this hypothesis, we quantified the rate that brain regions changed networks over time in response to brain stimulation, using network switching applied to multilayer modularity analysis of time-resolved es-fMRI connectivity. Network switching and synchrony was decreased after the first brain stimulation, followed by a more consistent pattern of network switching over time. This change was commonly observed in cortical networks and adjacent to the electrode targets. Our results suggest that neuronal perturbation is likely to modulate large-scale brain networks, and multilayer network modelling may be used to inform the clinical efficacy of brain stimulation in epilepsy.http://www.sciencedirect.com/science/article/pii/S0969996121001509Multilayer networksfMRINetwork switchingIntracranial brain stimulationEpilepsy |
| spellingShingle | Mangor Pedersen Andrew Zalesky Intracranial brain stimulation modulates fMRI-based network switching Neurobiology of Disease Multilayer networks fMRI Network switching Intracranial brain stimulation Epilepsy |
| title | Intracranial brain stimulation modulates fMRI-based network switching |
| title_full | Intracranial brain stimulation modulates fMRI-based network switching |
| title_fullStr | Intracranial brain stimulation modulates fMRI-based network switching |
| title_full_unstemmed | Intracranial brain stimulation modulates fMRI-based network switching |
| title_short | Intracranial brain stimulation modulates fMRI-based network switching |
| title_sort | intracranial brain stimulation modulates fmri based network switching |
| topic | Multilayer networks fMRI Network switching Intracranial brain stimulation Epilepsy |
| url | http://www.sciencedirect.com/science/article/pii/S0969996121001509 |
| work_keys_str_mv | AT mangorpedersen intracranialbrainstimulationmodulatesfmribasednetworkswitching AT andrewzalesky intracranialbrainstimulationmodulatesfmribasednetworkswitching |