IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0114167.html
   My bibliography  Save this article

Cortical Thickness, Surface Area and Volume Measures in Parkinson's Disease, Multiple System Atrophy and Progressive Supranuclear Palsy

Author

Listed:
  • Amanda Worker
  • Camilla Blain
  • Jozef Jarosz
  • K Ray Chaudhuri
  • Gareth J Barker
  • Steven C R Williams
  • Richard Brown
  • P Nigel Leigh
  • Andrew Simmons

Abstract

Objective: Parkinson's disease (PD), Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP) are neurodegenerative diseases that can be difficult to distinguish clinically. The objective of the current study was to use surface-based analysis techniques to assess cortical thickness, surface area and grey matter volume to identify unique morphological patterns of cortical atrophy in PD, MSA and PSP and to relate these patterns of change to disease duration and clinical features. Methods: High resolution 3D T1-weighted MRI volumes were acquired from 14 PD patients, 18 MSA, 14 PSP and 19 healthy control participants. Cortical thickness, surface area and volume analyses were carried out using the automated surface-based analysis package FreeSurfer (version 5.1.0). Measures of disease severity and duration were assessed for correlation with cortical morphometric changes in each clinical group. Results: Results show that in PSP, widespread cortical thinning and volume loss occurs within the frontal lobe, particularly the superior frontal gyrus. In addition, PSP patients also displayed increased surface area in the pericalcarine. In comparison, PD and MSA did not display significant changes in cortical morphology. Conclusion: These results demonstrate that patients with clinically established PSP exhibit distinct patterns of cortical atrophy, particularly affecting the frontal lobe. These results could be used in the future to develop a useful clinical application of MRI to distinguish PSP patients from PD and MSA patients.

Suggested Citation

  • Amanda Worker & Camilla Blain & Jozef Jarosz & K Ray Chaudhuri & Gareth J Barker & Steven C R Williams & Richard Brown & P Nigel Leigh & Andrew Simmons, 2014. "Cortical Thickness, Surface Area and Volume Measures in Parkinson's Disease, Multiple System Atrophy and Progressive Supranuclear Palsy," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0114167
    DOI: 10.1371/journal.pone.0114167
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0114167
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0114167&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0114167?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David C. Van Essen, 1997. "A tension-based theory of morphogenesis and compact wiring in the central nervous system," Nature, Nature, vol. 385(6614), pages 313-318, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ashish Raj & Yu-hsien Chen, 2011. "The Wiring Economy Principle: Connectivity Determines Anatomy in the Human Brain," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
    2. Kara E. Garcia & Xiaojie Wang & Christopher D. Kroenke, 2021. "A model of tension-induced fiber growth predicts white matter organization during brain folding," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    3. Cecilia L Friedrichs-Maeder & Alessandra Griffa & Juliane Schneider & Petra Susan Hüppi & Anita Truttmann & Patric Hagmann, 2017. "Exploring the role of white matter connectivity in cortex maturation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    4. Julien Lefèvre & Jean-François Mangin, 2010. "A Reaction-Diffusion Model of Human Brain Development," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-10, April.
    5. Deborah A Striegel & Monica K Hurdal, 2009. "Chemically Based Mathematical Model for Development of Cerebral Cortical Folding Patterns," PLOS Computational Biology, Public Library of Science, vol. 5(9), pages 1-6, September.
    6. Claus C Hilgetag & Helen Barbas, 2006. "Role of Mechanical Factors in the Morphology of the Primate Cerebral Cortex," PLOS Computational Biology, Public Library of Science, vol. 2(3), pages 1-14, March.
    7. David Samu & Anil K Seth & Thomas Nowotny, 2014. "Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-24, April.
    8. Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    9. Michael B Kranz & Michelle W Voss & Gillian E Cooke & Sarah E Banducci & Agnieszka Z Burzynska & Arthur F Kramer, 2018. "The cortical structure of functional networks associated with age-related cognitive abilities in older adults," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-26, September.
    10. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0114167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.