Constantin Tuleasca1,2,3,4, Elena Najdenovska5,6, Jean Régis7, Tatiana Witjas8, Nadine Girard9, Jérôme Champoudry7, Mohamed Faouzi10, Jean-Philippe Thiran11,6,12, Meritxell Bach Cuadra5,11,6, Marc Levivier13,6, Dimitri Van De Ville14,15. 1. Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois (CHUV), Rue du Bugnon 44-46, BH-08, 1011, Lausanne, Switzerland. constantin.tuleasca@gmail.com. 2. Medical Image Analysis Laboratory (MIAL) and Department of Radiology-Center of Biomedical Imaging (CIBM), Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. constantin.tuleasca@gmail.com. 3. Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. constantin.tuleasca@gmail.com. 4. Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. constantin.tuleasca@gmail.com. 5. Medical Image Analysis Laboratory (MIAL) and Department of Radiology-Center of Biomedical Imaging (CIBM), Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. 6. Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. 7. Stereotactic and Functional Neurosurgery Service and Gamma Knife Unit, CHU Timone, Marseille, France. 8. Neurology Department, CHU Timone, Marseille, France. 9. Department of Diagnostic and Interventionnal Neuroradiology, AMU, CRMBM UMR CNRS 7339, Faculté de Médecine et APHM, Hopital Timone, Marseille, France. 10. Institute of Social and Preventive Medicine, Lausanne, Switzerland. 11. Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. 12. Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. 13. Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois (CHUV), Rue du Bugnon 44-46, BH-08, 1011, Lausanne, Switzerland. 14. Faculty of Medicine, University of Geneva, Geneva, Switzerland. 15. Medical Image Processing Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Abstract
INTRODUCTION: Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard surgical stereotactic procedures (deep brain stimulation, thalamotomy) or minimally invasive high-intensity focused ultrasound (HIFU) or stereotactic radiosurgical thalamotomy (SRS-T). Resting-state fMRI (rs-fMRI) is a non-invasive imaging method acquired in absence of a task. We examined whether rs-fMRI correlates with tremor score on the treated hand (TSTH) improvement 1 year after SRS-T. METHODS: We included 17 consecutive patients treated with left unilateral SRS-T in Marseille, France. Tremor score evaluation and rs-fMRI were acquired at baseline and 1 year after SRS-T. Resting-state data (34 scans) were analyzed without a priori hypothesis, in Lausanne, Switzerland. Based on degree of improvement in TSTH, to consider SRS-T at least as effective as medication, we separated two groups: 1, ≤ 50% (n = 6, 35.3%); 2, > 50% (n = 11, 64.7%). They did not differ statistically by age (p = 0.86), duration of symptoms (p = 0.41), or lesion volume at 1 year (p = 0.06). RESULTS: We report TSTH improvement correlated with interconnectivity strength between salience network with the left claustrum and putamen, as well as between bilateral motor cortices, frontal eye fields and left cerebellum lobule VI with right visual association area (the former also with lesion volume). Longitudinal changes showed additional associations in interconnectivity strength between right dorsal attention network with ventro-lateral prefrontal cortex and a reminiscent salience network with fusiform gyrus. CONCLUSIONS: Brain connectivity measured by resting-state fMRI relates to clinical response after SRS-T. Relevant networks are visual, motor, and attention. Interconnectivity between visual and motor areas is a novel finding, revealing implication in movement sensory guidance.
INTRODUCTION: Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard surgical stereotactic procedures (deep brain stimulation, thalamotomy) or minimally invasive high-intensity focused ultrasound (HIFU) or stereotactic radiosurgical thalamotomy (SRS-T). Resting-state fMRI (rs-fMRI) is a non-invasive imaging method acquired in absence of a task. We examined whether rs-fMRI correlates with tremor score on the treated hand (TSTH) improvement 1 year after SRS-T. METHODS: We included 17 consecutive patients treated with left unilateral SRS-T in Marseille, France. Tremor score evaluation and rs-fMRI were acquired at baseline and 1 year after SRS-T. Resting-state data (34 scans) were analyzed without a priori hypothesis, in Lausanne, Switzerland. Based on degree of improvement in TSTH, to consider SRS-T at least as effective as medication, we separated two groups: 1, ≤ 50% (n = 6, 35.3%); 2, > 50% (n = 11, 64.7%). They did not differ statistically by age (p = 0.86), duration of symptoms (p = 0.41), or lesion volume at 1 year (p = 0.06). RESULTS: We report TSTH improvement correlated with interconnectivity strength between salience network with the left claustrum and putamen, as well as between bilateral motor cortices, frontal eye fields and left cerebellum lobule VI with right visual association area (the former also with lesion volume). Longitudinal changes showed additional associations in interconnectivity strength between right dorsal attention network with ventro-lateral prefrontal cortex and a reminiscent salience network with fusiform gyrus. CONCLUSIONS: Brain connectivity measured by resting-state fMRI relates to clinical response after SRS-T. Relevant networks are visual, motor, and attention. Interconnectivity between visual and motor areas is a novel finding, revealing implication in movement sensory guidance.
Authors: Derek B Archer; Stephen A Coombes; Winston T Chu; Jae Woo Chung; Roxana G Burciu; Michael S Okun; Aparna Wagle Shukla; David E Vaillancourt Journal: Brain Date: 2018-06-01 Impact factor: 13.501
Authors: Elena Najdenovska; Constantin Tuleasca; João Jorge; Philippe Maeder; José P Marques; Timo Roine; Daniel Gallichan; Jean-Philippe Thiran; Marc Levivier; Meritxell Bach Cuadra Journal: Sci Rep Date: 2019-02-04 Impact factor: 4.379
Authors: Constantin Tuleasca; Thomas Bolton; Jean Régis; Tatiana Witjas; Nadine Girard; Marc Levivier; Dimitri Van De Ville Journal: Hum Brain Mapp Date: 2019-12-15 Impact factor: 5.038
Authors: Mario Stanziano; Nico Golfrè Andreasi; Giuseppe Messina; Sara Rinaldo; Sara Palermo; Mattia Verri; Greta Demichelis; Jean Paul Medina; Francesco Ghielmetti; Salvatore Bonvegna; Anna Nigri; Giulia Frazzetta; Ludovico D'Incerti; Giovanni Tringali; Francesco DiMeco; Roberto Eleopra; Maria Grazia Bruzzone Journal: Front Neurol Date: 2022-01-12 Impact factor: 4.003