IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-15410-w.html
   My bibliography  Save this article

Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences

Author

Listed:
  • Kathy Y. Liu

    (University College London)

  • Rogier A. Kievit

    (University of Cambridge)

  • Kamen A. Tsvetanov

    (Cambridge Centre for Ageing and Neuroscience (Cam-CAN), University of Cambridge and MRC Cognition and Brain Sciences Unit
    University of Cambridge
    University of Cambridge)

  • Matthew J. Betts

    (German Center for Neurodegenerative Diseases (DZNE)
    Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg
    Center for Behavioral Brain Sciences)

  • Emrah Düzel

    (German Center for Neurodegenerative Diseases (DZNE)
    Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg
    University College London)

  • James B. Rowe

    (University of Cambridge
    Cambridge Centre for Ageing and Neuroscience (Cam-CAN), University of Cambridge and MRC Cognition and Brain Sciences Unit
    University of Cambridge)

  • Robert Howard

    (University College London)

  • Dorothea Hämmerer

    (German Center for Neurodegenerative Diseases (DZNE)
    Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg
    Center for Behavioral Brain Sciences
    University College London)

Abstract

The locus coeruleus (LC), the origin of noradrenergic modulation of cognitive and behavioral function, may play an important role healthy ageing and in neurodegenerative conditions. We investigated the functional significance of age-related differences in mean normalized LC signal intensity values (LC-CR) in magnetization-transfer (MT) images from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) cohort - an open-access, population-based dataset. Using structural equation modelling, we tested the pre-registered hypothesis that putatively noradrenergic (NA)-dependent functions would be more strongly associated with LC-CR in older versus younger adults. A unidimensional model (within which LC-CR related to a single factor representing all cognitive and behavioral measures) was a better fit with the data than the a priori two-factor model (within which LC-CR related to separate NA-dependent and NA-independent factors). Our findings support the concept that age-related reduction of LC structural integrity is associated with impaired cognitive and behavioral function.

Suggested Citation

  • Kathy Y. Liu & Rogier A. Kievit & Kamen A. Tsvetanov & Matthew J. Betts & Emrah Düzel & James B. Rowe & Robert Howard & Dorothea Hämmerer, 2020. "Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15410-w
    DOI: 10.1038/s41467-020-15410-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-15410-w
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-020-15410-w?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Prokopis C. Prokopiou & Nina Engels-Domínguez & Kathryn V. Papp & Matthew R. Scott & Aaron P. Schultz & Christoph Schneider & Michelle E. Farrell & Rachel F. Buckley & Yakeel T. Quiroz & Georges El Fa, 2022. "Lower novelty-related locus coeruleus function is associated with Aβ-related cognitive decline in clinically healthy individuals," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Mite Mijalkov & Ludvig Storm & Blanca Zufiria-Gerbolés & Dániel Veréb & Zhilei Xu & Anna Canal-Garcia & Jiawei Sun & Yu-Wei Chang & Hang Zhao & Emiliano Gómez-Ruiz & Massimiliano Passaretti & Sara Gar, 2025. "Computational memory capacity predicts aging and cognitive decline," Nature Communications, Nature, vol. 16(1), pages 1-14, 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:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15410-w. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.