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Article

Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment

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Department of Health Sciences of the Centro Universitario de los Valles, University of Guadalajara (México), 44160 Guadalajara, Mexico
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Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
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Serra Hunter Fellow, Department of Cognition, Developmental Psychology and Education, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain
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Department of Social Psychology & Quantitative Psychology, Faculty of Psychology, University of Barcelona, 08035 Barcelona, Spain
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UB Institute of Complex Systems, University of Barcelona, 08028 Barcelona, Spain
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RIO Group Clinical Laboratory, Center for Research in Advanced Functional Neuro-Diagnosis CINDFA, 44160 Guadalajara, Mexico
*
Author to whom correspondence should be addressed.
Academic Editors: Alberto Spalice and Alberto Costa
Brain Sci. 2021, 11(3), 311; https://doi.org/10.3390/brainsci11030311
Received: 1 December 2020 / Revised: 21 February 2021 / Accepted: 25 February 2021 / Published: 2 March 2021
Background: Studies on complexity indicators in the field of functional connectivity derived from resting-state fMRI (rs-fMRI) in Down syndrome (DS) samples and their possible relationship with cognitive functioning variables are rare. We analyze how some complexity indicators estimated in the subareas that constitute the default mode network (DMN) might be predictors of the neuropsychological outcomes evaluating Intelligence Quotient (IQ) and cognitive performance in persons with DS. Methods: Twenty-two DS people were assessed with the Kaufman Brief Test of Intelligence (KBIT) and Frontal Assessment Battery (FAB) tests, and fMRI signals were recorded in a resting state over a six-minute period. In addition, 22 controls, matched by age and sex, were evaluated with the same rs-fMRI procedure. Results: There was a significant difference in complexity indicators between groups: the control group showed less complexity than the DS group. Moreover, the DS group showed more variance in the complexity indicator distributions than the control group. In the DS group, significant and negative relationships were found between some of the complexity indicators in some of the DMN networks and the cognitive performance scores. Conclusions: The DS group is characterized by more complex DMN networks and exhibits an inverse relationship between complexity and cognitive performance based on the negative parameter estimates. View Full-Text
Keywords: DMN; down syndrome; fMRI; IQ; resting state; neuropsychology DMN; down syndrome; fMRI; IQ; resting state; neuropsychology
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MDPI and ACS Style

Figueroa-Jimenez, M.D.; Carbó-Carreté, M.; Cañete-Massé, C.; Zarabozo-Hurtado, D.; Peró-Cebollero, M.; Salazar-Estrada, J.G.; Guàrdia-Olmos, J. Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment. Brain Sci. 2021, 11, 311. https://doi.org/10.3390/brainsci11030311

AMA Style

Figueroa-Jimenez MD, Carbó-Carreté M, Cañete-Massé C, Zarabozo-Hurtado D, Peró-Cebollero M, Salazar-Estrada JG, Guàrdia-Olmos J. Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment. Brain Sciences. 2021; 11(3):311. https://doi.org/10.3390/brainsci11030311

Chicago/Turabian Style

Figueroa-Jimenez, María D., María Carbó-Carreté, Cristina Cañete-Massé, Daniel Zarabozo-Hurtado, Maribel Peró-Cebollero, José G. Salazar-Estrada, and Joan Guàrdia-Olmos. 2021. "Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment" Brain Sciences 11, no. 3: 311. https://doi.org/10.3390/brainsci11030311

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