Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease

Deep brain stimulation (DBS) for Parkinson's disease is a highly effective treatment in controlling otherwise debilitating symptoms. Yet the underlying brain mechanisms are currently not well understood. Whole-brain computational modeling was used to disclose the effects of DBS during resting-s...

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Main Authors: Saenger, V, Kahan, J, Foltynie, T, Friston, K, Aziz, T, Green, A, van Hartevelt, T, Cabral, J, Stevner, A, Fernandes, H, Mancini, L, Thornton, J, Yousry, T, Limousin, P, Zrinzo, L, Hariz, M, Marques, P, Sousa, N, Kringelbach, M, Deco, G
Format: Journal article
Language:English
Published: Springer Nature 2017
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author Saenger, V
Kahan, J
Foltynie, T
Friston, K
Aziz, T
Green, A
van Hartevelt, T
Cabral, J
Stevner, A
Fernandes, H
Mancini, L
Thornton, J
Yousry, T
Limousin, P
Zrinzo, L
Hariz, M
Marques, P
Sousa, N
Kringelbach, M
Deco, G
author_facet Saenger, V
Kahan, J
Foltynie, T
Friston, K
Aziz, T
Green, A
van Hartevelt, T
Cabral, J
Stevner, A
Fernandes, H
Mancini, L
Thornton, J
Yousry, T
Limousin, P
Zrinzo, L
Hariz, M
Marques, P
Sousa, N
Kringelbach, M
Deco, G
author_sort Saenger, V
collection OXFORD
description Deep brain stimulation (DBS) for Parkinson's disease is a highly effective treatment in controlling otherwise debilitating symptoms. Yet the underlying brain mechanisms are currently not well understood. Whole-brain computational modeling was used to disclose the effects of DBS during resting-state functional Magnetic Resonance Imaging in ten patients with Parkinson's disease. Specifically, we explored the local and global impact that DBS has in creating asynchronous, stable or critical oscillatory conditions using a supercritical bifurcation model. We found that DBS shifts global brain dynamics of patients towards a Healthy regime. This effect was more pronounced in very specific brain areas such as the thalamus, globus pallidus and orbitofrontal regions of the right hemisphere (with the left hemisphere not analyzed given artifacts arising from the electrode lead). Global aspects of integration and synchronization were also rebalanced. Empirically, we found higher communicability and coherence brain measures during DBS-ON compared to DBS-OFF. Finally, using our model as a framework, artificial in silico DBS was applied to find potential alternative target areas for stimulation and whole-brain rebalancing. These results offer important insights into the underlying large-scale effects of DBS as well as in finding novel stimulation targets, which may offer a route to more efficacious treatments.
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spelling oxford-uuid:30fd2f4b-e23e-4929-8c7c-4d6f923fdb682022-03-26T13:05:05ZUncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s diseaseJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:30fd2f4b-e23e-4929-8c7c-4d6f923fdb68EnglishSymplectic Elements at OxfordSpringer Nature2017Saenger, VKahan, JFoltynie, TFriston, KAziz, TGreen, Avan Hartevelt, TCabral, JStevner, AFernandes, HMancini, LThornton, JYousry, TLimousin, PZrinzo, LHariz, MMarques, PSousa, NKringelbach, MDeco, GDeep brain stimulation (DBS) for Parkinson's disease is a highly effective treatment in controlling otherwise debilitating symptoms. Yet the underlying brain mechanisms are currently not well understood. Whole-brain computational modeling was used to disclose the effects of DBS during resting-state functional Magnetic Resonance Imaging in ten patients with Parkinson's disease. Specifically, we explored the local and global impact that DBS has in creating asynchronous, stable or critical oscillatory conditions using a supercritical bifurcation model. We found that DBS shifts global brain dynamics of patients towards a Healthy regime. This effect was more pronounced in very specific brain areas such as the thalamus, globus pallidus and orbitofrontal regions of the right hemisphere (with the left hemisphere not analyzed given artifacts arising from the electrode lead). Global aspects of integration and synchronization were also rebalanced. Empirically, we found higher communicability and coherence brain measures during DBS-ON compared to DBS-OFF. Finally, using our model as a framework, artificial in silico DBS was applied to find potential alternative target areas for stimulation and whole-brain rebalancing. These results offer important insights into the underlying large-scale effects of DBS as well as in finding novel stimulation targets, which may offer a route to more efficacious treatments.
spellingShingle Saenger, V
Kahan, J
Foltynie, T
Friston, K
Aziz, T
Green, A
van Hartevelt, T
Cabral, J
Stevner, A
Fernandes, H
Mancini, L
Thornton, J
Yousry, T
Limousin, P
Zrinzo, L
Hariz, M
Marques, P
Sousa, N
Kringelbach, M
Deco, G
Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title_full Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title_fullStr Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title_full_unstemmed Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title_short Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease
title_sort uncovering the underlying mechanisms and whole brain dynamics of deep brain stimulation for parkinson s disease
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