Constantin Tuleasca1, Jean Régis2, Elena Najdenovska3, Tatiana Witjas4, Nadine Girard5, Jérôme Champoudry2, Mohamed Faouzi6, Jean-Philippe Thiran7, Meritxell Bach Cuadra8, Marc Levivier9, Dimitri Van De Ville10. 1. Centre Hospitalier Universitaire Vaudois, Neurosurgery Service and Gamma Knife Center, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. Electronic address: constantin.tuleasca@gmail.com. 2. Stereotactic and Functional Neurosurgery Service and Gamma Knife Unit, CHU Timone, Marseille, France. 3. Medical Image Analysis Laboratory and Department of Radiology-Center of Biomedical Imaging, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. 4. Neurology Department, CHU Timone, Marseille, France. 5. Department of Diagnostic and Interventional Neuroradiology, AMU, CRMBM UMR CNRS 7339, Faculté de Médecine et APHM, Hopital Timone, Marseille, France. 6. Centre for Clinical Epidemiology, Institute of Social and Preventive Medicine, Lausanne, Switzerland. 7. Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland; Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. 8. Medical Image Analysis Laboratory and Department of Radiology-Center of Biomedical Imaging, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. 9. Centre Hospitalier Universitaire Vaudois, Neurosurgery Service and Gamma Knife Center, Lausanne, Switzerland; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. 10. Faculty of Medicine, University of Geneva, Geneva, Switzerland; Medical Image Processing Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Abstract
OBJECTIVE: To correlate pretherapeutic resting-state functional magnetic resonance imaging (rs-fMRI) measures with pretherapeutic head tremor presence and/or further improvement 1 year after stereotactic radiosurgical thalamotomy (SRS-T) for essential tremor (ET). METHODS: We prospectively collected head tremor scores (range, 0-3) and rs-fMRI data for a cohort of 17 consecutive ET patients in pretherapeutic and 1 year after SRS-T states. We additionally acquired rs-fMRI data for a healthy control (HC) group (n = 12). Group-level independent component analysis (n = 17 for pretherapeutic rs-fMRI) was applied to decompose neuroimaging data into 20 large-scale brain networks using a standard approach. Through spatial regression, we projected 1 year after SRS-T and HC rs-fMRI time points, on the same 20 brain networks. RESULTS: Pretherapeutic interconnectivity (IC) strength between the network including bilateral thalamus and limbic system with left supplementary motor area predicted head tremor improvement at 1 year after SRS-T (family-wise corrected P < 0.001, cluster size Kc = 146). For the statistically significant cluster, IC strength was strongest in HCs (mean, 4.6; median, 3.8) compared with pre- (mean, 0.1; median, 0.2) or posttherapeutic (mean, -0.2; median, 0.09) states. CONCLUSIONS: Baseline measures of IC between bilateral thalamus and limbic system with left supplementary motor area may predict head tremor arrest after thalamotomy. However, procedures such as SRS-T, for this particular clinical feature, do not align patients to HCs in terms of functional brain connectivity. We postulate that supplementary motor area is modulating head tremor appearance, by abnormal connectivity with the thalamolimbic system.
OBJECTIVE: To correlate pretherapeutic resting-state functional magnetic resonance imaging (rs-fMRI) measures with pretherapeutic head tremor presence and/or further improvement 1 year after stereotactic radiosurgical thalamotomy (SRS-T) for essential tremor (ET). METHODS: We prospectively collected head tremor scores (range, 0-3) and rs-fMRI data for a cohort of 17 consecutive ET patients in pretherapeutic and 1 year after SRS-T states. We additionally acquired rs-fMRI data for a healthy control (HC) group (n = 12). Group-level independent component analysis (n = 17 for pretherapeutic rs-fMRI) was applied to decompose neuroimaging data into 20 large-scale brain networks using a standard approach. Through spatial regression, we projected 1 year after SRS-T and HC rs-fMRI time points, on the same 20 brain networks. RESULTS: Pretherapeutic interconnectivity (IC) strength between the network including bilateral thalamus and limbic system with left supplementary motor area predicted head tremor improvement at 1 year after SRS-T (family-wise corrected P < 0.001, cluster size Kc = 146). For the statistically significant cluster, IC strength was strongest in HCs (mean, 4.6; median, 3.8) compared with pre- (mean, 0.1; median, 0.2) or posttherapeutic (mean, -0.2; median, 0.09) states. CONCLUSIONS: Baseline measures of IC between bilateral thalamus and limbic system with left supplementary motor area may predict head tremor arrest after thalamotomy. However, procedures such as SRS-T, for this particular clinical feature, do not align patients to HCs in terms of functional brain connectivity. We postulate that supplementary motor area is modulating head tremor appearance, by abnormal connectivity with the thalamolimbic system.
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