Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome

Author:

Johnson Kara A12ORCID,Duffley Gordon12ORCID,Anderson Daria Nesterovich123ORCID,Ostrem Jill L4,Welter Marie-Laure5,Baldermann Juan Carlos67,Kuhn Jens68,Huys Daniel6,Visser-Vandewalle Veerle9,Foltynie Thomas10,Zrinzo Ludvic10,Hariz Marwan1011,Leentjens Albert F G12,Mogilner Alon Y13,Pourfar Michael H13,Almeida Leonardo14,Gunduz Aysegul1415ORCID,Foote Kelly D14,Okun Michael S14,Butson Christopher R12316

Affiliation:

1. Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA

2. Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA

3. Department of Neurosurgery, University of Utah, Salt Lake City, Utah, USA

4. Department of Neurology, University of California San Francisco, San Francisco, California, USA

5. Institut du Cerveau et de la Moelle Epiniere, Sorbonne Universités, University of Pierre and Marie Curie University of Paris, the French National Institute of Health and Medical Research U 1127, the National Center for Scientific Research 7225, Paris, France

6. Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany

7. Department of Neurology, University of Cologne, Cologne, Germany

8. Department of Psychiatry, Psychotherapy, and Psychosomatic Medicine, Johanniter Hospital Oberhausen, EVKLN, Oberhausen, Germany

9. Department of Stereotaxy and Functional Neurosurgery, University Hospital Cologne, Cologne, Germany

10. Functional Neurosurgery Unit, Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, UK

11. Department of Clinical Neuroscience, Umea University, Umea, Sweden

12. Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, Maastricht, The Netherlands

13. Center for Neuromodulation, New York University Langone Medical Center, New York, New York, USA

14. Norman Fixel Institute for Neurological Diseases , Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA

15. J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA

16. Departments of Neurology and Psychiatry, University of Utah, Salt Lake City, Utah, USA

Abstract

Abstract Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate ‘reverse’ tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P < 0.017). For centromedial thalamus, connectivity to sensorimotor networks, parietal-temporal-occipital networks, putamen, and cerebellum was positively correlated with tic improvement; the model predicted clinical improvement scores (P = 0.012) and was robust to cross-validation. Regions in the anterior/lateral centromedial thalamus exhibited higher connectivity to the positively correlated networks, but volume of tissue activated overlap with this map did not predict improvement (P > 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), but the model was not robust to cross-validation. Collectively, the results demonstrate that the structural connectivity of the site of stimulation are likely important for mediating symptom improvement, and the networks involved in tic improvement may differ across surgical targets. These networks provide important insight on potential mechanisms and could be used to guide lead placement and stimulation parameter selection, as well as refine targets for neuromodulation therapies for Tourette syndrome.

Funder

Human Connectome Project, WU-Minn Consortium

Principal Investigators: David Van Essen and Kamil Ugurbil

NIH Institutes and Centers

NIH Blueprint for Neuroscience Research

McDonnell Center for Systems Neuroscience at Washington University

National Science Foundation Graduate Research Fellowship Program

National Institutes of Health

NIH

P41 Center for Integrative Biomedical Computing

National Institute for Health Research University College London Hospitals Biomedical Research Centre

International Tourette Syndrome Registry Grant

The University of Utah Study Design and Biostatistics Center

National Center for Research Resources

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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