Development of the Functional Connectome Topology in Adolescence: Evidence from Topological Data Analysis


Por: Gracia-Tabuenca Z., Díaz-Patiño J.C., Arelio-Ríos I., Moreno-García M.B., Barrios F.A., Alcauter S.

Publicada: 1 feb 2023
Resumen:
Adolescence is a crucial developmental period in terms of behavior and mental health. Therefore, understanding how the brain develops during this stage is a fundamental challenge for neuroscience. Recent studies have modeled the brain as a network or connectome, mainly applying measures from graph theory, showing a change in its functional organization, such as an increase in its segregation and integration. Topological Data Analysis (TDA) complements such modeling by extracting high-dimensional features across the whole range of connectivity values instead of exploring a fixed set of connections. This study inquires into the developmental trajectories of such properties using a longitudinal sample of typically developing human participants (N = 98; 53/45 female/male; 6.7-18.1 years), applying TDA to their functional connectomes. In addition, we explore the effect of puberty on individual developmental trajectories. Results showed that the adolescent brain has a more distributed topology structure compared with random networks but is more densely connected at the local level. Furthermore, developmental effects showed nonlinear trajectories for the topology of the whole brain and fronto-parietal networks, with an inflection point and increasing trajectories after puberty onset. These results add to the insights into the development of the functional organization of the adolescent brain.

Filiaciones:
Gracia-Tabuenca Z.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico

Díaz-Patiño J.C.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico

 Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, 22860, Mexico

Arelio-Ríos I.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico

Moreno-García M.B.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico

Barrios F.A.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico

Alcauter S.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico
ISSN: 23732822





Eneuro
Editorial
SOC NEUROSCIENCE, 11 DUPONT CIRCLE, NW, STE 500, WASHINGTON, DC 20036 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 10 Número: 2
Páginas:
WOS Id: 001093584200006
ID de PubMed: 36717266
imagen Green Published, gold, Green Submitted, All Open Access, Gold, Green

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