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Title: | Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by A Neuropsychological Assessment |
Author: | Figueroa Jiménez, María Dolores Carbó-Carreté, Maria Cañete-Massé, Cristina Zarabozo-Hurtado, Daniel Peró, Maribel Salazar Estrada, José Guadalupe Guàrdia-Olmos, Joan, 1958- |
Keywords: | Síndrome de Down Imatges per ressonància magnètica Neuropsicologia Down syndrome Magnetic resonance imaging Neuropsychology |
Issue Date: | 2-Mar-2021 |
Publisher: | MDPI |
Abstract: | 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/brainsci11030311 |
It is part of: | Brain Sciences, 2021, vol. 11, num. 3, p. 311 |
URI: | http://hdl.handle.net/2445/174684 |
Related resource: | https://doi.org/10.3390/brainsci11030311 |
ISSN: | 2076-3425 |
Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
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