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Individualization of deep brain stimulation targets for movement disorders

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References

  1. Abosch A, Timmermann L, Bartley S, Rietkerk HG, Whiting D, Connolly PJ, Lanctin D, Hariz MI (2013) An international survey of deep brain stimulation procedural steps. Stereotact Funct Neurosurg 91(1):1–11

    Article  PubMed  Google Scholar 

  2. Akakin A, Peris-Celda M, Kilic T, Seker A, Gutierrez-Martin A, Rhoton A (2014) The dentate nucleus and its projection system in the human cerebellum: the dentate nucleus microsurgical anatomical study. Neurosurgery 74(4):401–425

    Article  PubMed  Google Scholar 

  3. Anthofer J, Steib K, Fellner C, Lange M, Brawanski A, Schlaier J (2014) The variability of atlas-based targets in relation to surrounding major fibre tracts in thalamic deep brain stimulation. Acta Neurochir (Wien) 156(8):1497–1504, discussion 1504

    Article  Google Scholar 

  4. Avecillas-Chasin JM, Alonso-Frech F, Parras O, Del Prado N, Barcia JA (2015) Assessment of a method to determine deep brain stimulation targets using deterministic tractography in a navigation system. Neurosurg Rev. doi:10.1007/s10143-015-0643-1

    PubMed  Google Scholar 

  5. Behrens TEJ, Woolrich MW, Jenkinson M, Johansen-Berg H, Nunes RG, Clare S, Matthews PM, Brady JM, Smith SM (2003) Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 50(5):1077–1088

    Article  CAS  PubMed  Google Scholar 

  6. Bürgel U, Mädler B, Honey CR, Thron A, Gilsbach J, Coenen VA (2009) Fiber tracking with distinct software tools results in a clear diversity in anatomical fiber tract portrayal. Cent Eur Neurosurg 70(1):27–35

    Article  PubMed  Google Scholar 

  7. Chung H-W, Chou M-C, Chen C-Y (2011) Principles and limitations of computational algorithms in clinical diffusion tensor MR tractography. AJNR Am J Neuroradiol 32(1):3–13

    PubMed  Google Scholar 

  8. Coenen VA, Allert N, Paus S, Kronenbürger M, Urbach H, Mädler B (2014) Modulation of the cerebello–thalamo–cortical network in thalamic deep brain stimulation for tremor: a diffusion tensor imaging study. Neurosurgery 75(6):657–669, discussion 669–70

    Article  PubMed  Google Scholar 

  9. Coenen VA, Mädler B, Schiffbauer H, Urbach H, Allert N (2011) Individual fiber anatomy of the subthalamic region revealed with diffusion tensor imaging: a concept to identify the deep brain stimulation target for tremor suppression. Neurosurgery 68(4):1069–1075, discussion 1075–6

    PubMed  Google Scholar 

  10. Coenen VA, Prescher A, Schmidt T, Picozzi P, Gielen FLH (2008) What is dorso-lateral in the subthalamic nucleus (STN)?—a topographic and anatomical consideration on the ambiguous description of today’s primary target for deep brain stimulation (DBS) surgery. Acta Neurochir (Wien) 150(11):1163–1165, discussion 1165

    Article  Google Scholar 

  11. Coenen VA, Schlaepfer TE, Allert N, Mädler B (2012) Diffusion tensor imaging and neuromodulation: DTI as key technology for deep brain stimulation. Int Rev Neurobiol 107:207–234

    Article  PubMed  Google Scholar 

  12. Descoteaux M, Deriche R, Knösche TR, Anwander A (2009) Deterministic and probabilistic tractography based on complex fibre orientation distributions. IEEE Trans Med Imaging 28(2):269–86

  13. Jeong J-W, Chugani DC, Behen ME, Tiwari VN, Chugani HT (2012) Altered white matter structure of the dentatorubrothalamic pathway in children with autistic spectrum disorders. Cerebellum 11(4):957–971

    Article  PubMed  Google Scholar 

  14. Nestor KA, Jones JD, Butson CR, Morishita T, Jacobson CE, Peace DA, Chen D, Foote KD, Okun MS (2014) Coordinate-based lead location does not predict Parkinson’s disease deep brain stimulation outcome. PLoS One 9(4), e93524

    Article  PubMed Central  PubMed  Google Scholar 

  15. Schlaier J, Schoedel P, Lange M, Winkler J, Warnat J, Dorenbeck U, Brawanski A (2005) Reliability of atlas-derived coordinates in deep brain stimulation. Acta Neurochir (Wien) 147(11):1175–1180, discussion 1180

    Article  CAS  Google Scholar 

  16. Thomas C, Ye FQ, Irfanoglu MO, Modi P, Saleem KS, Leopold DA, Pierpaoli C (2014) Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited. Proc Natl Acad Sci U S A 111(46):16574–16579

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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Correspondence to Josué M. Avecillas-Chasin.

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Avecillas-Chasin, J.M. Individualization of deep brain stimulation targets for movement disorders. Acta Neurochir 157, 1795–1797 (2015). https://doi.org/10.1007/s00701-015-2523-4

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  • DOI: https://doi.org/10.1007/s00701-015-2523-4

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