Skip Navigation
Skip to contents

JMD : Journal of Movement Disorders


Author index

Page Path
HOME > Browse Articles > Author index
Jonathan D. Rohrer 1 Article
Automated Brainstem Segmentation Detects Differential Involvement in Atypical Parkinsonian Syndromes
Martina Bocchetta, Juan Eugenio Iglesias, Viorica Chelban, Edwin Jabbari, Ruth Lamb, Lucy L. Russell, Caroline V. Greaves, Mollie Neason, David M. Cash, David L. Thomas, Jason D. Warren, John Woodside, Henry Houlden, Huw R. Morris, Jonathan D. Rohrer
J Mov Disord. 2020;13(1):39-46.   Published online September 26, 2019
  • 7,845 View
  • 242 Download
  • 15 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary Material
Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts.
We investigated brainstem involvement in APS using an automated method. We measured the volume of the medulla, pons, superior cerebellar peduncle (SCP) and midbrain from T1-weighted MRIs in 67 patients and 42 controls. Diagnoses were corticobasal syndrome (CBS, n = 14), multiple system atrophy (MSA, n = 16: 8 with parkinsonian syndrome, MSA-P; 8 with cerebellar syndrome, MSA-C), progressive supranuclear palsy with a Richardson’s syndrome (PSP-RS, n = 12), variant PSP (n = 18), and APS not otherwise specified (APS-NOS, n = 7).
All brainstem regions were smaller in MSA-C (19–42% volume difference, p < 0.0005) and in both PSP groups (18–33%, p < 0.0005) than in controls. MSA-P showed lower volumes in all regions except the SCP (15–26%, p < 0.0005). The most affected region in MSA-C and MSA-P was the pons (42% and 26%, respectively), while the most affected regions in both the PSP-RS and variant PSP groups were the SCP (33% and 23%, respectively) and midbrain (26% and 24%, respectively). The brainstem was less affected in CBS, but nonetheless, the pons (14%, p < 0.0005), midbrain (14%, p < 0.0005) and medulla (10%, p = 0.001) were significantly smaller in CBS than in controls. The brainstem was unaffected in APS-NOS.
Automated methods can accurately quantify the involvement of brainstem structures in APS. This will be important in future trials with large patient numbers where manual segmentation is unfeasible.


Citations to this article as recorded by  
  • Loss of brainstem white matter predicts onset and motor neuron symptoms in C9orf72 expansion carriers: a GENFI study
    Agnès Pérez-Millan, Sergi Borrego-Écija, John C. van Swieten, Lize Jiskoot, Fermin Moreno, Robert Laforce, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Barbara Borroni, Elizabeth Finger, Matthis Synofzik, Daniela Galimberti, Rik
    Journal of Neurology.2023; 270(3): 1573.     CrossRef
  • Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes
    Joomee Song, Juyoung Hahm, Jisoo Lee, Chae Yeon Lim, Myung Jin Chung, Jinyoung Youn, Jin Whan Cho, Jong Hyeon Ahn, Kyungsu Kim
    Scientific Reports.2023;[Epub]     CrossRef
  • Identification of the pathogenesis features of various phenotypes of multiple sclerosis based on the study of the morphological functional connectivity of subcortical gray matter structures
    A. G. Trufanov, A. Y. Polushin, E. A. Gorbunova, M. V. Lukin
    Russian Journal for Personalized Medicine.2023; 3(1): 27.     CrossRef
  • Structural MRI predicts clinical progression in presymptomatic genetic frontotemporal dementia: findings from the GENetic Frontotemporal dementia Initiative cohort
    Martina Bocchetta, Emily G Todd, Arabella Bouzigues, David M Cash, Jennifer M Nicholas, Rhian S Convery, Lucy L Russell, David L Thomas, Ian B Malone, Juan Eugenio Iglesias, John C van Swieten, Lize C Jiskoot, Harro Seelaar, Barbara Borroni, Daniela Galim
    Brain Communications.2023;[Epub]     CrossRef
  • Quantitative MRI protocol and decision model for a ‘one stop shop’ early-stage Parkinsonism diagnosis: Study design
    Samy Abo Seada, Anke W. van der Eerden, Agnita J.W. Boon, Juan A. Hernandez-Tamames
    NeuroImage: Clinical.2023; 39: 103506.     CrossRef
  • Neuroimaging correlates of brain injury in Wilson’s disease: a multimodal, whole-brain MRI study
    Samuel Shribman, Martina Bocchetta, Carole H Sudre, Julio Acosta-Cabronero, Maggie Burrows, Paul Cook, David L Thomas, Godfrey T Gillett, Emmanuel A Tsochatzis, Oliver Bandmann, Jonathan D Rohrer, Thomas T Warner
    Brain.2022; 145(1): 263.     CrossRef
  • Nuclear imaging in Parkinson's disease: The past, the present, and the future
    Haim Golan, Olga Volkov, Eli Shalom
    Journal of the Neurological Sciences.2022; 436: 120220.     CrossRef
  • Criteria-unfulfilled multiple system atrophy at an initial stage exhibits laterality of middle cerebellar peduncles
    Minori Furuta, Masayuki Sato, Setsuki Tsukagoshi, Yoshito Tsushima, Yoshio Ikeda
    Journal of the Neurological Sciences.2022; 438: 120281.     CrossRef
  • A data-driven model of brain volume changes in progressive supranuclear palsy
    W. J. Scotton, M. Bocchetta, E. Todd, D. M. Cash, N. Oxtoby, L. VandeVrede, H. Heuer, D. C. Alexander, J. B. Rowe, H. R. Morris, A. Boxer, J. D. Rohrer, P. A. Wijeratne
    Brain Communications.2022;[Epub]     CrossRef
  • Neuroimaging Correlates of Cognitive Deficits in Wilson's Disease
    Samuel Shribman, Maggie Burrows, Rhian Convery, Martina Bocchetta, Carole H. Sudre, Julio Acosta‐Cabronero, David L. Thomas, Godfrey T. Gillett, Emmanuel A. Tsochatzis, Oliver Bandmann, Jonathan D. Rohrer, Thomas T. Warner
    Movement Disorders.2022; 37(8): 1728.     CrossRef
  • Corticobasal syndrome and Parkinson’s disease at the beginning: asymmetrical patterns of MRI and Blink Reflex for early diagnosis
    Giulia Donzuso, Giorgia Sciacca, Antonina Luca, Calogero E. Cicero, Giovanni Mostile, Alessandra Nicoletti, Mario Zappia
    Journal of Neural Transmission.2022; 129(12): 1427.     CrossRef
  • Eye movements and association with regional brain atrophy in clinical subtypes of progressive supranuclear palsy
    Ji-Hyun Choi, Heejung Kim, Jung Hwan Shin, Jee-Young Lee, Han-Joon Kim, Jong-Min Kim, Beomseok Jeon
    Journal of Neurology.2021; 268(3): 967.     CrossRef
  • Artificial intelligence applied to neuroimaging data in Parkinsonian syndromes: Actuality and expectations
    Annalisa Vitale, Rossella Villa, Lorenzo Ugga, Valeria Romeo, Arnaldo Stanzione, Renato Cuocolo
    Mathematical Biosciences and Engineering.2021; 18(2): 1753.     CrossRef
  • Differential early subcortical involvement in genetic FTD within the GENFI cohort
    Martina Bocchetta, Emily G. Todd, Georgia Peakman, David M. Cash, Rhian S. Convery, Lucy L. Russell, David L. Thomas, Juan Eugenio Iglesias, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Barbara Borroni, Daniela Galimberti, Raquel Sanchez-Valle, Ro
    NeuroImage: Clinical.2021; 30: 102646.     CrossRef
  • Quantitative MRI markers in Parkinson's disease and parkinsonian syndromes
    Germain Arribarat, Patrice Péran
    Current Opinion in Neurology.2020; 33(2): 222.     CrossRef

JMD : Journal of Movement Disorders Twitter