dc.contributor.author |
Fernandes, Henrique M. |
dc.contributor.author |
Van Hartevelt, Tim J. |
dc.contributor.author |
Boccard, Sandra G J |
dc.contributor.author |
Owen, Sarah L. F. |
dc.contributor.author |
Cabral, Joana R. B. |
dc.contributor.author |
Green, Alex L. |
dc.contributor.author |
FitzGerald, James J. |
dc.contributor.author |
Aziz, Tipu Z. |
dc.contributor.author |
Kringelbach, Morten L. |
dc.contributor.author |
Deco, Gustavo |
dc.date |
2015 |
dc.identifier.citation |
Fernandes HM, Van Hartevelt TJ, Boccard SGJ, Owen SLF, Cabral J, Deco G et al. Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome. New Journal of Physics. 2015;17. DOI: 10.1088/1367-2630/17/1/015001. |
dc.identifier.citation |
1367-2630 |
dc.identifier.citation |
http://dx.doi.org/10.1088/1367-2630/17/1/015001 |
dc.identifier.uri |
http://hdl.handle.net/10230/24786 |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Institute of Physics (IOP) |
dc.relation |
New Journal of Physics. 2015;17. |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/295129 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/269921 |
dc.relation |
info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/615539 |
dc.rights |
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by/3.0/ |
dc.subject |
Deep brain stimulation |
dc.subject |
Fingerprint |
dc.subject |
Diffusion imaging |
dc.title |
Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome |
dc.type |
info:eu-repo/semantics/article |
dc.type |
info:eu-repo/semantics/publishedVersion |
dc.description.abstract |
Deep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement/ndisorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour/nof whole-brain neural networks. Traditionally, DBS targeting has been based upon animal/nmodels (such asMPTPfor Parkinson’s disease) but has also been the result of serendipity during/nhuman lesional neurosurgery. There are, however, no good animal models of psychiatric disorders/nsuch as depression and schizophrenia, and progress in this area has been slow. In this paper, we use/nadvanced tractography combined with whole-brain anatomical parcellation to provide a rational/nfoundation for identifying the connectivity ‘fingerprint’ of existing, successful DBS targets. This/nknowledge can then be used pre-surgically and even potentially for the discovery of novel targets. First,/nusing data from our recent case series of cingulate DBS for patients with treatment-resistant chronic/npain, we demonstrate how to identify the structural ‘fingerprints’ of existing successful and unsuccessful/nDBS targets in terms of their connectivity to other brain regions, as defined by the whole-brain/nanatomical parcellation. Second, we use a number of different strategies to identify the successful fingerprints/nof structural connectivity across four patients with successful outcomes compared with/ntwo patients with unsuccessful outcomes. This fingerprinting method can potentially be used presurgically/nto account for a patient’s individual connectivity and identify the best DBS target. Ultimately,/nour novel fingerprinting method could be combined with advanced whole-brain computational/nmodelling of the spontaneous dynamics arising from the structural changes in disease, to/nprovide new insights and potentially new targets for hitherto impenetrable neuropsychiatric/ndisorders. |
dc.description.abstract |
We thank Ms Eloise Starkfor her valuable comments. MLK was supported by the ERC ConsolidatorGrant:/nCAREGIVING (n. 615539) and the TrygFonden Charitable Foundation. GD was supported by the ERC Advanced/nGrant: DYSTRUCTURE (n. 295129), by the Spanish Research Project SAF2010-16085 and the FP7-ICT BrainScales. |