Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome
Deep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement disorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour of whole-brain neural networks. Traditionally, DBS targeting has been based upon animal models...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2015-01-01
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| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/17/1/015001 |
| _version_ | 1797751213361463296 |
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| author | Henrique M Fernandes Tim J Van Hartevelt Sandra G J Boccard Sarah L F Owen Joana Cabral Gustavo Deco Alex L Green James J Fitzgerald Tipu Z Aziz Morten L Kringelbach |
| author_facet | Henrique M Fernandes Tim J Van Hartevelt Sandra G J Boccard Sarah L F Owen Joana Cabral Gustavo Deco Alex L Green James J Fitzgerald Tipu Z Aziz Morten L Kringelbach |
| author_sort | Henrique M Fernandes |
| collection | DOAJ |
| description | Deep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement disorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour of whole-brain neural networks. Traditionally, DBS targeting has been based upon animal models (such as MPTP for Parkinson’s disease) but has also been the result of serendipity during human lesional neurosurgery. There are, however, no good animal models of psychiatric disorders such as depression and schizophrenia, and progress in this area has been slow. In this paper, we use advanced tractography combined with whole-brain anatomical parcellation to provide a rational foundation for identifying the connectivity ‘fingerprint’ of existing, successful DBS targets. This knowledge can then be used pre-surgically and even potentially for the discovery of novel targets. First, using data from our recent case series of cingulate DBS for patients with treatment-resistant chronic pain, we demonstrate how to identify the structural ‘fingerprints’ of existing successful and unsuccessful DBS targets in terms of their connectivity to other brain regions, as defined by the whole-brain anatomical parcellation. Second, we use a number of different strategies to identify the successful fingerprints of structural connectivity across four patients with successful outcomes compared with two patients with unsuccessful outcomes. This fingerprinting method can potentially be used pre-surgically to account for a patient’s individual connectivity and identify the best DBS target. Ultimately, our novel fingerprinting method could be combined with advanced whole-brain computational modelling of the spontaneous dynamics arising from the structural changes in disease, to provide new insights and potentially new targets for hitherto impenetrable neuropsychiatric disorders. |
| first_indexed | 2024-03-12T16:45:16Z |
| format | Article |
| id | doaj.art-213a3989c22a4d779ebe33205b34ffe5 |
| institution | Directory Open Access Journal |
| issn | 1367-2630 |
| language | English |
| last_indexed | 2024-03-12T16:45:16Z |
| publishDate | 2015-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | New Journal of Physics |
| spelling | doaj.art-213a3989c22a4d779ebe33205b34ffe52023-08-08T14:16:19ZengIOP PublishingNew Journal of Physics1367-26302015-01-0117101500110.1088/1367-2630/17/1/015001Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcomeHenrique M Fernandes0Tim J Van Hartevelt1Sandra G J Boccard2Sarah L F Owen3Joana Cabral4Gustavo Deco5Alex L Green6James J Fitzgerald7Tipu Z Aziz8Morten L Kringelbach9Department of Psychiatry, University of Oxford , Oxford, OX3 7JX, UK; Center of Functionally Integrative Neuroscience (CFIN), Aarhus University , Aarhus, DenmarkDepartment of Psychiatry, University of Oxford , Oxford, OX3 7JX, UK; Center of Functionally Integrative Neuroscience (CFIN), Aarhus University , Aarhus, DenmarkOxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgical Sciences, University of Oxford , UKDepartment of Clinical Healthcare, Faculty of Health and Life Sciences, Oxford Brookes University , UKDepartment of Psychiatry, University of Oxford , Oxford, OX3 7JX, UK; Theoretical and Computational Neuroscience Group, Center of Brain and Cognition, Universitat Pompeu Fabra , Barcelona, E-08018, SpainTheoretical and Computational Neuroscience Group, Center of Brain and Cognition, Universitat Pompeu Fabra , Barcelona, E-08018, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, E-08010, SpainOxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgical Sciences, University of Oxford , UKOxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgical Sciences, University of Oxford , UKOxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgical Sciences, University of Oxford , UKDepartment of Psychiatry, University of Oxford , Oxford, OX3 7JX, UK; Center of Functionally Integrative Neuroscience (CFIN), Aarhus University , Aarhus, Denmark; Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgical Sciences, University of Oxford , UKDeep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement disorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour of whole-brain neural networks. Traditionally, DBS targeting has been based upon animal models (such as MPTP for Parkinson’s disease) but has also been the result of serendipity during human lesional neurosurgery. There are, however, no good animal models of psychiatric disorders such as depression and schizophrenia, and progress in this area has been slow. In this paper, we use advanced tractography combined with whole-brain anatomical parcellation to provide a rational foundation for identifying the connectivity ‘fingerprint’ of existing, successful DBS targets. This knowledge can then be used pre-surgically and even potentially for the discovery of novel targets. First, using data from our recent case series of cingulate DBS for patients with treatment-resistant chronic pain, we demonstrate how to identify the structural ‘fingerprints’ of existing successful and unsuccessful DBS targets in terms of their connectivity to other brain regions, as defined by the whole-brain anatomical parcellation. Second, we use a number of different strategies to identify the successful fingerprints of structural connectivity across four patients with successful outcomes compared with two patients with unsuccessful outcomes. This fingerprinting method can potentially be used pre-surgically to account for a patient’s individual connectivity and identify the best DBS target. Ultimately, our novel fingerprinting method could be combined with advanced whole-brain computational modelling of the spontaneous dynamics arising from the structural changes in disease, to provide new insights and potentially new targets for hitherto impenetrable neuropsychiatric disorders.https://doi.org/10.1088/1367-2630/17/1/015001deep brain stimulationfingerprintdiffusion imaging |
| spellingShingle | Henrique M Fernandes Tim J Van Hartevelt Sandra G J Boccard Sarah L F Owen Joana Cabral Gustavo Deco Alex L Green James J Fitzgerald Tipu Z Aziz Morten L Kringelbach Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome New Journal of Physics deep brain stimulation fingerprint diffusion imaging |
| title | Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| title_full | Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| title_fullStr | Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| title_full_unstemmed | Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| title_short | Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| title_sort | novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
| topic | deep brain stimulation fingerprint diffusion imaging |
| url | https://doi.org/10.1088/1367-2630/17/1/015001 |
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