Alterations in brain network organization in adults with obesity as compared to healthy-weight individuals and seniors. Ottino-González, J., Baggio, H. C., Jurado, M. A., Segura, B., Caldú, X., Prats-Soteras, X., Tor, C., Sender-Palacios, M. J., Miró, N., Sánchez-Garre, C., Dadar, M., Dagher, A., García-García, I., & Garolera, M. bioRxiv, May, 2020. Publisher: Cold Spring Harbor Laboratory Section: New Results
Alterations in brain network organization in adults with obesity as compared to healthy-weight individuals and seniors [link]Paper  doi  abstract   bibtex   
\textlessh3\textgreaterAbstract\textless/h3\textgreater \textlessp\textgreaterLife expectancy and obesity rates have drastically increased in recent years. An unhealthy weight is related to long-lasting biological deregulations that might compromise the normal course of aging. The aim of the current study was to test whether the network composition of young adults with obesity would show signs of premature aging. To this end, subjects with obesity (N = 30, mean age 32.8 ± 5.68), healthy-weight controls (N = 33, mean age 30.9 ± 6.24) as well as non-demented seniors (N = 30, mean age 67.1 ± 6.65) all underwent a resting-state MRI acquisition. Functional connectivity was studied by means of graph-theory measurements (i.e., small-world index, clustering coefficient, characteristic path length, and mean degree). Contrary to what expected, obesity in adults was related to disruptions in small-world properties driven by increases in network segregation (i.e., clustering coefficient) as compared to elders. Also, this group showed alterations in global and regional centrality metrics (i.e., degree) relative to controls and seniors. Despite not mimicking what was here shown by seniors, the topological organization linked to an obesity status may represent a flaw for cognitive functions depending on the rapid combination between different modular communities.\textless/p\textgreater
@article{ottino-gonzalez_alterations_2020,
	title = {Alterations in brain network organization in adults with obesity as compared to healthy-weight individuals and seniors},
	copyright = {© 2020, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution-NonCommercial-NoDerivs 4.0 International), CC BY-NC-ND 4.0, as described at http://creativecommons.org/licenses/by-nc-nd/4.0/},
	url = {https://www.biorxiv.org/content/10.1101/685081v6},
	doi = {10.1101/685081},
	abstract = {{\textless}h3{\textgreater}Abstract{\textless}/h3{\textgreater} {\textless}p{\textgreater}Life expectancy and obesity rates have drastically increased in recent years. An unhealthy weight is related to long-lasting biological deregulations that might compromise the normal course of aging. The aim of the current study was to test whether the network composition of young adults with obesity would show signs of premature aging. To this end, subjects with obesity (N = 30, mean age 32.8 ± 5.68), healthy-weight controls (N = 33, mean age 30.9 ± 6.24) as well as non-demented seniors (N = 30, mean age 67.1 ± 6.65) all underwent a resting-state MRI acquisition. Functional connectivity was studied by means of graph-theory measurements (i.e., small-world index, clustering coefficient, characteristic path length, and mean degree). Contrary to what expected, obesity in adults was related to disruptions in small-world properties driven by increases in network segregation (i.e., clustering coefficient) as compared to elders. Also, this group showed alterations in global and regional centrality metrics (i.e., degree) relative to controls and seniors. Despite not mimicking what was here shown by seniors, the topological organization linked to an obesity status may represent a flaw for cognitive functions depending on the rapid combination between different modular communities.{\textless}/p{\textgreater}},
	language = {en},
	urldate = {2020-08-31},
	journal = {bioRxiv},
	author = {Ottino-González, J. and Baggio, H. C. and Jurado, M. A. and Segura, B. and Caldú, X. and Prats-Soteras, X. and Tor, C. and Sender-Palacios, M. J. and Miró, N. and Sánchez-Garre, C. and Dadar, M. and Dagher, A. and García-García, I. and Garolera, M.},
	month = may,
	year = {2020},
	note = {Publisher: Cold Spring Harbor Laboratory
Section: New Results},
	keywords = {Article, Neuropsicologia},
	pages = {685081},
}
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