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Relationship between Quality of Life and the Complexity of Default Mode Network in Resting State Functional Magnetic Resonance Image in Down Syndrome

Author

Listed:
  • Maria Carbó-Carreté

    (Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
    Serra Húnter Fellow, Department of Cognition, Developmental and Educational Psychology, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain)

  • Cristina Cañete-Massé

    (Department of Social Psychology & Quantitative Psychology, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain
    UB Institute of Complex Systems, University of Barcelona, 08007 Barcelona, Spain)

  • María D. Figueroa-Jiménez

    (Los Valles University Center, University of Guadalajara, Jalisco 46600, Mexico)

  • Maribel Peró-Cebollero

    (Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
    Department of Social Psychology & Quantitative Psychology, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain
    UB Institute of Complex Systems, University of Barcelona, 08007 Barcelona, Spain)

  • Joan Guàrdia-Olmos

    (Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
    Department of Social Psychology & Quantitative Psychology, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain
    UB Institute of Complex Systems, University of Barcelona, 08007 Barcelona, Spain)

Abstract

Background: The study of the Default Mode Network (DMN) has been shown to be sensitive for the recognition of connectivity patterns between the brain areas involved in this network. It has been hypothesized that the connectivity patterns in this network are related to different cognitive states. Purpose: In this study, we explored the relationship that can be estimated between these functional connectivity patterns of the DMN with the Quality-of-Life levels in people with Down syndrome, since no relevant data has been provided for this population. Methods: 22 young people with Down syndrome were evaluated; they were given a large evaluation battery that included the Spanish adaptation of the Personal Outcome Scale (POS). Likewise, fMRI sequences were obtained on a 3T resonator. For each subject, the DMN functional connectivity network was studied by estimating the indicators of complexity networks. The variability obtained in the Down syndrome group was studied by taking into account the Quality-of-Life distribution. Results: There is a negative correlation between the complexity of the connectivity networks and the Quality-of-Life values. Conclusions: The results are interpreted as evidence that, even at rest, connectivity levels are detected as already shown in the community population and that less intense connectivity levels correlate with higher levels of Quality of Life in people with Down syndrome.

Suggested Citation

  • Maria Carbó-Carreté & Cristina Cañete-Massé & María D. Figueroa-Jiménez & Maribel Peró-Cebollero & Joan Guàrdia-Olmos, 2020. "Relationship between Quality of Life and the Complexity of Default Mode Network in Resting State Functional Magnetic Resonance Image in Down Syndrome," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7127-:d:421310
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    References listed on IDEAS

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    1. Laura Gómez & Elsa Peña & Benito Arias & Miguel Verdugo, 2016. "Impact of Individual and Organizational Variables on Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 649-664, January.
    2. César Calvo-Lobo & Ana Ramos García & Marta Elena Losa Iglesias & Daniel López-López & David Rodríguez-Sanz & Carlos Romero-Morales & Ricardo Becerro-de-Bengoa-Vallejo, 2018. "The Relationship between Shoe Fitting and Foot Health of Persons with Down Syndrome: A Case Control Study," IJERPH, MDPI, vol. 15(5), pages 1-9, May.
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