IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-29047-4.html
   My bibliography  Save this article

A computational model of neurodegeneration in Alzheimer’s disease

Author

Listed:
  • D. Jones

    (Mayo Clinic
    Mayo Clinic)

  • V. Lowe

    (Mayo Clinic)

  • J. Graff-Radford

    (Mayo Clinic)

  • H. Botha

    (Mayo Clinic)

  • L. Barnard

    (Mayo Clinic)

  • D. Wiepert

    (Mayo Clinic)

  • M. C. Murphy

    (Mayo Clinic)

  • M. Murray

    (Mayo Clinic)

  • M. Senjem

    (Mayo Clinic)

  • J. Gunter

    (Mayo Clinic)

  • H. Wiste

    (Mayo Clinic)

  • B. Boeve

    (Mayo Clinic)

  • D. Knopman

    (Mayo Clinic)

  • R. Petersen

    (Mayo Clinic)

  • C. Jack

    (Mayo Clinic)

Abstract

Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the relationship between clinical symptoms of dementia, patterns of neurodegeneration, and functional systems is not clear. Here we present a model of the association between dementia symptoms and degenerative brain anatomy using F18-fluorodeoxyglucose PET and dimensionality reduction techniques in two cohorts of patients with AD. This reflected a simple information processing-based functional description of macroscale brain anatomy which we link to AD physiology, functional networks, and mental abilities. We further apply the model to normal aging and seven degenerative diseases of mental functions. We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.

Suggested Citation

  • D. Jones & V. Lowe & J. Graff-Radford & H. Botha & L. Barnard & D. Wiepert & M. C. Murphy & M. Murray & M. Senjem & J. Gunter & H. Wiste & B. Boeve & D. Knopman & R. Petersen & C. Jack, 2022. "A computational model of neurodegeneration in Alzheimer’s disease," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29047-4
    DOI: 10.1038/s41467-022-29047-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-29047-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-29047-4?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. Ian W. Eisenberg & Patrick G. Bissett & A. Zeynep Enkavi & Jamie Li & David P. MacKinnon & Lisa A. Marsch & Russell A. Poldrack, 2019. "Uncovering the structure of self-regulation through data-driven ontology discovery," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    2. Timothy N Rubin & Oluwasanmi Koyejo & Krzysztof J Gorgolewski & Michael N Jones & Russell A Poldrack & Tal Yarkoni, 2017. "Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-24, October.
    3. Karolina Finc & Kamil Bonna & Xiaosong He & David M. Lydon-Staley & Simone Kühn & Włodzisław Duch & Danielle S. Bassett, 2020. "Dynamic reconfiguration of functional brain networks during working memory training," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    4. Andrew C. Murphy & Maxwell A. Bertolero & Lia Papadopoulos & David M. Lydon-Staley & Danielle S. Bassett, 2020. "Multimodal network dynamics underpinning working memory," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    5. Karolina Finc & Kamil Bonna & Xiaosong He & David M. Lydon-Staley & Simone Kühn & Włodzisław Duch & Danielle S. Bassett, 2020. "Author Correction: Dynamic reconfiguration of functional brain networks during working memory training," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. David J. Whiteside & Negin Holland & Kamen A. Tsvetanov & Elijah Mak & Maura Malpetti & George Savulich & P. Simon Jones & Michelle Naessens & Matthew A. Rouse & Tim D. Fryer & Young T. Hong & Frankli, 2023. "Synaptic density affects clinical severity via network dysfunction in syndromes associated with frontotemporal lobar degeneration," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Julie Ottoy & Min Su Kang & Jazlynn Xiu Min Tan & Lyndon Boone & Reinder Vos de Wael & Bo-yong Park & Gleb Bezgin & Firoza Z. Lussier & Tharick A. Pascoal & Nesrine Rahmouni & Jenna Stevenson & Jaime , 2024. "Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

    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. Zengmin Li & Dilsher Athwal & Hsu-Lei Lee & Pankaj Sah & Patricio Opazo & Kai-Hsiang Chuang, 2023. "Locating causal hubs of memory consolidation in spontaneous brain network in male mice," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Junjiao Feng & Liang Zhang & Chunhui Chen & Jintao Sheng & Zhifang Ye & Kanyin Feng & Jing Liu & Ying Cai & Bi Zhu & Zhaoxia Yu & Chuansheng Chen & Qi Dong & Gui Xue, 2022. "A cognitive neurogenetic approach to uncovering the structure of executive functions," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    3. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    5. Ana Sofía Ríos & Simón Oxenford & Clemens Neudorfer & Konstantin Butenko & Ningfei Li & Nanditha Rajamani & Alexandre Boutet & Gavin J. B. Elias & Jurgen Germann & Aaron Loh & Wissam Deeb & Fuyixue Wa, 2022. "Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. Joyneel Misra & Srinivas Govinda Surampudi & Manasij Venkatesh & Chirag Limbachia & Joseph Jaja & Luiz Pessoa, 2021. "Learning brain dynamics for decoding and predicting individual differences," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-25, September.
    7. Bu, Di & Hanspal, Tobin & Liao, Yin & Liu, Yong, 2020. "Financial literacy and self-control in FinTech: Evidence from a field experiment on online consumer borrowing," SAFE Working Paper Series 273, Leibniz Institute for Financial Research SAFE.
    8. Elizabeth L. Johnson & Jack J. Lin & David King-Stephens & Peter B. Weber & Kenneth D. Laxer & Ignacio Saez & Fady Girgis & Mark D’Esposito & Robert T. Knight & David Badre, 2023. "A rapid theta network mechanism for flexible information encoding," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    9. Farid Anvari & Stephan Billinger & Pantelis P. Analytis & Vithor Rosa Franco & Davide Marchiori, 2024. "Testing the convergent validity, domain generality, and temporal stability of selected measures of people’s tendency to explore," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    10. Acerbi, Alberto & Sacco, Pier Luigi, 2022. "The self-control vs. self-indulgence dilemma: A culturomic analysis of 20th century trends," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    11. Strömbäck, Camilla & Skagerlund, Kenny & Västfjäll, Daniel & Tinghög, Gustav, 2020. "Subjective self-control but not objective measures of executive functions predicts financial behavior and well-being," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).

    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:13:y:2022:i:1:d:10.1038_s41467-022-29047-4. 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: 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.