IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v70y2015icp144-155.html
   My bibliography  Save this article

Anomalous consistency in Mild Cognitive Impairment: A complex networks approach

Author

Listed:
  • Martínez, J.H.
  • Ariza, P.
  • Zanin, M.
  • Papo, D.
  • Maestú, F.
  • Pastor, J.M.
  • Bajo, R.
  • Boccaletti, S.
  • Buldú, J.M.

Abstract

Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood. Here we propose a novel method for evaluating consistency from non-invasive brain recordings. We evaluate the consistency of the cortical activity recorded with magnetoencephalography in a group of subjects diagnosed with Mild Cognitive Impairment (MCI), a condition sometimes prodromal of dementia, during the execution of a memory task. We use metrics coming from nonlinear dynamics to evaluate the consistency of cortical regions. A representation known as parenclitic networks is constructed, where atypical features are endowed with a network structure, the topological properties of which can be studied at various scales. Pathological conditions correspond to strongly heterogeneous networks, whereas typical or normative conditions are characterized by sparsely connected networks with homogeneous nodes. The analysis of this kind of networks allows identifying the extent to which consistency is affected in the MCI group and the focal points where MCI is especially severe. To the best of our knowledge, these results represent the first attempt at evaluating the consistency of brain functional activity using complex networks theory.

Suggested Citation

  • Martínez, J.H. & Ariza, P. & Zanin, M. & Papo, D. & Maestú, F. & Pastor, J.M. & Bajo, R. & Boccaletti, S. & Buldú, J.M., 2015. "Anomalous consistency in Mild Cognitive Impairment: A complex networks approach," Chaos, Solitons & Fractals, Elsevier, vol. 70(C), pages 144-155.
  • Handle: RePEc:eee:chsofr:v:70:y:2015:i:c:p:144-155
    DOI: 10.1016/j.chaos.2014.10.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077914001842
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2014.10.013?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anthony Randal McIntosh & Natasa Kovacevic & Roxane J Itier, 2008. "Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development," PLOS Computational Biology, Public Library of Science, vol. 4(7), pages 1-9, July.
    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. Gutiérrez, Caracé & Gancio, Juan & Cabeza, Cecilia & Rubido, Nicolás, 2021. "Finding the resistance distance and eigenvector centrality from the network’s eigenvalues," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    2. Vera-Ávila, V.P. & Sevilla-Escoboza, J.R. & Durón, R.R. Rivera & Buldú, J.M., 2021. "Dynamical consistency in networks of nonlinear oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).

    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. Mazen El-Baba & Daniel J Lewis & Zhuo Fang & Adrian M Owen & Stuart M Fogel & J Bruce Morton, 2019. "Functional connectivity dynamics slow with descent from wakefulness to sleep," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    2. David Florentino Montez & Finnegan J Calabro & Beatriz Luna, 2019. "Working memory improves developmentally as neural processes stabilize," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-15, March.
    3. Yoshiki Kaneoke & Tomohiro Donishi & Jun Iwatani & Satoshi Ukai & Kazuhiro Shinosaki & Masaki Terada, 2012. "Variance and Autocorrelation of the Spontaneous Slow Brain Activity," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-10, May.
    4. Jessie M H Szostakiwskyj & Stephanie E Willatt & Filomeno Cortese & Andrea B Protzner, 2017. "The modulation of EEG variability between internally- and externally-driven cognitive states varies with maturation and task performance," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-27, July.
    5. Biyu J He & John M Zempel, 2013. "Average Is Optimal: An Inverted-U Relationship between Trial-to-Trial Brain Activity and Behavioral Performance," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-14, November.
    6. Macauley Smith Breault & Pierre Sacré & Zachary B. Fitzgerald & John T. Gale & Kathleen E. Cullen & Jorge A. González-Martínez & Sridevi V. Sarma, 2023. "Internal states as a source of subject-dependent movement variability are represented by large-scale brain networks," Nature Communications, Nature, vol. 14(1), pages 1-20, 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:eee:chsofr:v:70:y:2015:i:c:p:144-155. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.