Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation
It is unclear whether Hebbian-like learning occurs at the level of long-range white matter connections in humans, i.e., where measurable changes in structural connectivity (SC) are correlated with changes in functional connectivity. However, the behavioral changes observed after deep brain stimulati...
| Main Authors: | , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media SA
2015
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| _version_ | 1826299899354808320 |
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| author | van Hartevelt, T Cabral, J Møller, A FitzGerald, J Green, A Aziz, T Deco, G Kringelbach, M |
| author_facet | van Hartevelt, T Cabral, J Møller, A FitzGerald, J Green, A Aziz, T Deco, G Kringelbach, M |
| author_sort | van Hartevelt, T |
| collection | OXFORD |
| description | It is unclear whether Hebbian-like learning occurs at the level of long-range white matter connections in humans, i.e., where measurable changes in structural connectivity (SC) are correlated with changes in functional connectivity. However, the behavioral changes observed after deep brain stimulation (DBS) suggest the existence of such Hebbian-like mechanisms occurring at the structural level with functional consequences. In this rare case study, we obtained the full network of white matter connections of one patient with Parkinson's disease (PD) before and after long-term DBS and combined it with a computational model of ongoing activity to investigate the effects of DBS-induced long-term structural changes. The results show that the long-term effects of DBS on resting-state functional connectivity is best obtained in the computational model by changing the structural weights from the subthalamic nucleus (STN) to the putamen and the thalamus in a Hebbian-like manner. Moreover, long-term DBS also significantly changed the SC towards normality in terms of model-based measures of segregation and integration of information processing, two key concepts of brain organization. This novel approach using computational models to model the effects of Hebbian-like changes in SC allowed us to causally identify the possible underlying neural mechanisms of long-term DBS using rare case study data. In time, this could help predict the efficacy of individual DBS targeting and identify novel DBS targets. |
| first_indexed | 2024-03-07T05:08:57Z |
| format | Journal article |
| id | oxford-uuid:dae598b6-827d-446b-beda-f0cfb502fc39 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:08:57Z |
| publishDate | 2015 |
| publisher | Frontiers Media SA |
| record_format | dspace |
| spelling | oxford-uuid:dae598b6-827d-446b-beda-f0cfb502fc392022-03-27T09:06:29ZEvidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:dae598b6-827d-446b-beda-f0cfb502fc39EnglishSymplectic Elements at OxfordFrontiers Media SA2015van Hartevelt, TCabral, JMøller, AFitzGerald, JGreen, AAziz, TDeco, GKringelbach, MIt is unclear whether Hebbian-like learning occurs at the level of long-range white matter connections in humans, i.e., where measurable changes in structural connectivity (SC) are correlated with changes in functional connectivity. However, the behavioral changes observed after deep brain stimulation (DBS) suggest the existence of such Hebbian-like mechanisms occurring at the structural level with functional consequences. In this rare case study, we obtained the full network of white matter connections of one patient with Parkinson's disease (PD) before and after long-term DBS and combined it with a computational model of ongoing activity to investigate the effects of DBS-induced long-term structural changes. The results show that the long-term effects of DBS on resting-state functional connectivity is best obtained in the computational model by changing the structural weights from the subthalamic nucleus (STN) to the putamen and the thalamus in a Hebbian-like manner. Moreover, long-term DBS also significantly changed the SC towards normality in terms of model-based measures of segregation and integration of information processing, two key concepts of brain organization. This novel approach using computational models to model the effects of Hebbian-like changes in SC allowed us to causally identify the possible underlying neural mechanisms of long-term DBS using rare case study data. In time, this could help predict the efficacy of individual DBS targeting and identify novel DBS targets. |
| spellingShingle | van Hartevelt, T Cabral, J Møller, A FitzGerald, J Green, A Aziz, T Deco, G Kringelbach, M Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title | Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title_full | Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title_fullStr | Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title_full_unstemmed | Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title_short | Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation |
| title_sort | evidence from a rare case study for hebbian like changes in structural connectivity induced by long term deep brain stimulation |
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