Cited by 711Neurological disorders and treatmentsObsessive-Compulsive Spectrum DisordersTranscranial Magnetic Stimulation Studies

Connectivity Predicts deep brain stimulation outcome in P arkinson disease

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Horn, Andreas, Reich, Martin, Vorwerk, Johannes, Li, Ningfei, Wenzel, Gregor, Fang, Qianqian, Schmitz‐Hübsch, Tanja, Nickl, Robert +4 more·2017·Annals of Neurology

Abstract

Objective: The benefit of deep brain stimulation (DBS) for Parkinson disease (PD) may depend on connectivity between the stimulation site and other brain regions, but which regions and whether connectivity can predict outcome in patients remain unknown. Here, we identify the structural and functional connectivity profile of effective DBS to the subthalamic nucleus (STN) and test its ability to predict outcome in an independent cohort. Methods: A training dataset of 51 PD patients with STN DBS was combined with publicly available human connectome data (diffusion tractography and resting state functional connectivity) to identify connections reliably associated with clinical improvement (motor score of the Unified Parkinson Disease Rating Scale [UPDRS]). This connectivity profile was then used to predict outcome in an independent cohort of 44 patients from a different center. Results: In the training dataset, connectivity between the DBS electrode and a distributed network of brain regions correlated with clinical response including structural connectivity to supplementary motor area and functional anticorrelation to primary motor cortex ( p < 0.001). This same connectivity profile predicted response in an independent patient cohort ( p < 0.01). Structural and functional connectivity were independent predictors of clinical improvement ( p < 0.001) and estimated response in individual patients with an average error of 15% UPDRS improvement. Results were similar using connectome data from normal subjects or a connectome age, sex, and disease matched to our DBS patients. Interpretation: Effective STN DBS for PD is associated with a specific connectivity profile that can predict clinical outcome across independent cohorts. This prediction does not require specialized imaging in PD patients themselves. Ann Neurol 2017;82:67–78

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  • In psychiatric surgery, advanced tractography facilitates combining brain connectomic analyses with neuromodulation interventions.

    “In psychiatric surgery, advanced tractography facilitates the combination between brain connectomic analyses and neuromodulation interventions (Davidson et al., 2020; Horn et al., 2017; Riva-Posse et al., 2018)”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Horn et al., 2017

    The Abstract > Interpretation and Subjects and Methods > Connectivity Estimation (page numbers unavailable) describe combining diffusion tractography and functional connectome analyses with deep brain stimulation. But the study tests this approach in Parkinson disease, not psychiatric surgery; its references to psychiatric applications do not establish the claim in that setting. (LLM, conf=0.87)

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Research works printed but not linked: 48

  1. [1]Schuepbach WMM Rau J Knudsen K Neurostimulation for Parkinson’s disease with early motor complications N Engl J Med 2013 368 610 622 23406026
  2. [2]Fox MD Buckner RL Liu H Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases Proc Natl Acad Sci 2014 111 E4367 E4375 25267639 PMC4205651
  3. [3]Henderson JM “Connectomic surgery”: diffusion tensor imaging (DTI) tractography as a targeting modality for surgical modulation of neural networks Front Integr Neurosci 2012 6 15 22536176 PMC3334531
  4. [4]Lozano AM Lipsman N Probing and regulating dysfunctional circuits using deep brain stimulation Neuron 2013 77 406 424 23395370
  5. [5]Litvak V Jha A Eusebio A Resting oscillatory corticosubthalamic connectivity in patients with Parkinson’s disease Brain 2011 134 pt 2 359 374 21147836
  6. [6]Oswal A Jha A Neal S Analysis of simultaneous MEG and intracranial LFP recordings during deep brain stimulation: a protocol and experimental validation J Neurosci Methods 2016 261 29 46 26698227 PMC4758829
  7. [7]Ceballos-Baumann AO Boecker H Bartenstein P A positron emission tomographic study of subthalamic nucleus stimulation in Parkinson disease: enhanced movement-related activity of motor-association cortex and decreased motor cortex resting activity Arch Neurol 1999 56 997 1003 10448806
  8. [8]Accolla EA Herrojo Ruiz M Horn A Brain networks modulated by subthalamic nucleus deep brain stimulation Brain 2016 139 pt 9 2503 2515 27412387
  9. [9]Pouratian N Zheng Z Bari AA Multi-institutional evaluation of deep brain stimulation targeting using probabilistic connectivity-based thalamic segmentation J Neurosurg 2011 115 995 1004 21854118
  10. [10]Riva-Posse P Choi KS Holtzheimer PE Defining critical white matter pathways mediating successful subcallosal cingulate deep brain stimulation for treatment-resistant depression Biol Psychiatry 2014 76 963 969 24832866 PMC4487804
  11. [11]Asanuma K Tang C Ma Y Network modulation in the treatment of Parkinson’s disease Brain 2006 129 pt 10 2667 2678 16844713 PMC4459513
  12. [12]Gradinaru V Mogri M Thompson KR Optical deconstruction of parkinsonian neural circuitry Science 2009 324 354 359 19299587 PMC6744370
  13. [13]Nambu A Tokuno H Takada M Functional significance of the cortico-subthalamo-pallidal “hyperdirect” pathway Neurosci Res 2002 43 111 117 12067746
  14. [14]Haynes WIA Haber SN The organization of prefrontal-subthalamic inputs in primates provides an anatomical substrate for both functional specificity and integration: implications for basal ganglia models and deep brain stimulation J Neurosci 2013 33 4804 4814 23486951 PMC3755746
  15. [15]Coenen VA Allert N Mädler B A role of diffusion tensor imaging fiber tracking in deep brain stimulation surgery: DBS of the dentato-rubro-thalamic tract (drt) for the treatment of therapy-refractory tremor Acta Neurochir (Wien) 2011 153 1579 1585 21553318
  16. [18]Anderson JS Dhatt HS Ferguson MA Functional connectivity targeting for deep brain stimulation in essential tremor AJNR Am J Neuroradiol 2011 32 1963 1968 21885716 PMC3217124
  17. [19]Fasano A Laganiere SE Lam S Fox MD Lesions causing freezing of gait localize to a cerebellar functional network Ann Neurol 2017 81 129 141 28009063 PMC5266642
  18. [20]Boes AD Prasad S Liu H Network localization of neurological symptoms from focal brain lesions Brain 2015 138 3061 3075 26264514 PMC4671478
  19. [21]Darby R Laganiere S Pascual-Leone A Finding the imposter: brain connectivity of lesions causing delusional misidentifications Brain 2016 140 pt 2 1 11 PMC5278302 28082298
  20. [22]Fischer DB Boes AD Demertzi A A human brain network derived from coma-causing brainstem lesions Neurology 2016 87 2427 2434 27815400 PMC5177681
  21. [23]Laganiere S Boes AD Fox MD Network localization of hemichorea-hemiballismus Neurology 2016 86 2187 2195 27170566 PMC4898318
  22. [24]Horn A Kühn AA Merkl A Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space Neuroimage 2017 150 395 404 28163141 PMC6050588
  23. [25]Fox MD Buckner RL White MP Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate Biol Psychiatry 2012 72 595 603 22658708 PMC4120275
  24. [26]Horn A Kühn AA Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations Neuroimage 2015 107 127 135 25498389
  25. [27]McIntyre CC Grill WM Sherman DL Thakor NV Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition J Neurophysiol 2004 91 1457 1469 14668299
  26. [28]Åström M Diczfalusy E Martens H Wårdell K Relationship between Neural Activation and Electric Field Distribution during Deep Brain Stimulation IEEE Trans Biomed Eng 2015 62 664 672 25350910
  27. [29]Ewert S Plettig P Li N Chakravarty MM Collins DL Herrington TM Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity NeuroImage 2017 10.1016/j.neuroimage.2017.05.015 28536045 · DOI
  28. [30]Vorwerk J Cho J-H Rampp S A guideline for head volume conductor modeling in EEG and MEG Neuroimage 2014 100 590 607 24971512
  29. [31]Hemm S Mennessier G Vayssiere N Co-registration of stereotactic MRI and isofieldlines during deep brain stimulation Brain Res Bull 2005 68 59 61 16325005
  30. [32]Yeo BTT Krienen FM Sepulcre J The organization of the human cerebral cortex estimated by intrinsic functional connectivity J Neurophysiol 2011 106 1125 1165 21653723 PMC3174820
  31. [33]Horn A Ostwald D Reisert M Blankenburg F The structural-functional connectome and the default mode network of the human brain Neuroimage 2014 102 pt 1 142 151 24099851
  32. [34]Horn A Blankenburg F Toward a standardized structural-functional group connectome in MNI space Neuroimage 2016 124 pt A 310 322 26327244
  33. [35]Horn A Neumann W-J Degen K Schneider G-H Kühn AA Toward an electrophysiological “sweet spot” for deep brain stimulation in the subthalamic nucleus Human Brain Mapping 2017 10.1002/hbm.23594 PMC6867148 28390148 · DOI
  34. [36]van Albada SJ Robinson PA Transformation of arbitrary distributions to the normal distribution with application to EEG test-retest reliability J Neurosci Methods 2007 161 205 211 17204332
  35. [37]Mayberg HS Lozano AM Voon V Deep brain stimulation for treatment-resistant depression Neuron 2005 45 651 660 15748841
  36. [38]Muthuraman M Deuschl G Koirala N Effects of DBS in parkinsonian patients depend on the structural integrity of frontal cortex Sci Rep 2017 7 43571 28262813 PMC5337928
  37. [39]Baudrexel S Witte T Seifried C Resting state fMRI reveals increased subthalamic nucleus–motor cortex connectivity in Parkinson’s disease Neuroimage 2011 55 1728 1738 21255661
  38. [40]Hanajima R Ashby P Lozano AM Single pulse stimulation of the human subthalamic nucleus facilitates the motor cortex at short intervals J Neurophysiol 2004 92 1937 1943 15152016
  39. [41]Shirota Y Ohtsu H Hamada M Supplementary motor area stimulation for Parkinson disease: a randomized controlled study Neurology 2013 80 1400 1405 23516319
  40. [42]Brys M Fox MD Agarwal S Multifocal repetitive TMS for motor and mood symptoms of Parkinson disease: a randomized trial Neurology 2016 87 1907 1915 27708129 PMC5100715
  41. [43]Ruffini G Fox MD Ripolles O Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields Neuroimage 2014 89 216 225 24345389 PMC3944133
  42. [44]Ellis T-M Foote KD Fernandez HH Reoperation for suboptimal outcomes after deep brain stimulation surgery Neurosurgery 2008 63 754 760 discussion 760–761 18981887
  43. [45]Papapetropoulos S Ellul J Argyriou AA The effect of depression on motor function and disease severity of Parkinson’s disease Clin Neurol Neurosurg 2006 108 465 469 16150537
  44. [46]Jaggi JL Umemura A Hurtig HI Bilateral stimulation of the subthalamic nucleus in Parkinson’s disease: surgical efficacy and prediction of outcome Stereotact Funct Neurosurg 2004 82 104 114 15305083
  45. [47]Zaidel A Bergman H Ritov Y Israel Z Levodopa and subthalamic deep brain stimulation responses are not congruent Mov Disord 2010 25 2379 2386 20824733
  46. [48]Butson CR Cooper SE Henderson JM Probabilistic analysis of activation volumes generated during deep brain stimulation Neuroimage 2011 54 2096 2104 20974269 PMC3008334
  47. [49]Howell B McIntyre CC Analyzing the tradeoff between electrical complexity and accuracy in patient-specific computational models of deep brain stimulation J Neural Eng 2016 13 036023 27172137 PMC5259803
  48. [50]Eisenstein SA Koller JM Black KD Functional anatomy of subthalamic nucleus stimulation in Parkinson disease Ann Neurol 2014 76 279 295 24953991 PMC4172323

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Authors
Horn, A., Reich, M., Vorwerk, J., Li, N., Wenzel, G., Fang, Q., Schmitz‐Hübsch, T., Nickl, R., Kupsch, A., Volkmann, J., Kühn, A. A., & Fox, M. D.
Affiliations
  • Beth Israel Deaconess Medical Center (US)
  • University of Würzburg (DE)
  • University of Utah (US)
  • Technische Universität Berlin (DE)
  • Charité – Universitätsmedizin Berlin (DE)
  • Northeastern University (US)
  • NeuroCure Cluster of Excellence (DE)
  • Otto-von-Guericke-Universität Magdeburg (DE)
Corresponding author
  • Horn, Andreas
  • Fox, Michael D.
Venue
Annals of Neurology
Publisher
Wiley
Published
2017-07
Volume
82
Issue
1
Pages
67-78
ISSN
  • 0364-5134 (ISSN-L)
  • 1531-8249
OpenAlex
W2622109244
Cited by
711
References
2
Citations by year
2026: 88 · 2025: 92 · 2024: 67 · 2023: 83 · 2022: 103 · 2021: 98 · 2020: 72 · 2019: 54 · 2018: 42 · 2017: 12
FWCI
34.29
Type
journal article
Language
en
Open access
Locations
  • Annals of Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (KFO247)
  • National Institute of Neurological Disorders and Stroke (K23NS083741)
  • Dystonia Medical Research Foundation
  • National Institutes of Health (R01‐GM114365)
  • National Institute of Dental and Craniofacial Research
  • National Institute of Mental Health
Topics
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
  • Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
deep brain stimulation, Parkinson's disease, subthalamic nucleus, structural connectivity, functional connectivity, outcome prediction, supplementary motor area, primary motor cortex, anticorrelation, human connectome, diffusion tractography, motor symptoms
MeSH terms
Aged, Female, Humans, Male, Middle Aged, Motor Cortex, Parkinson Disease, Case-Control Studies, Treatment Outcome, Subthalamic Nucleus, Deep Brain Stimulation, Connectome

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