RT Journal Article
SR Electronic
T1 Development of the Functional Connectome Topology in Adolescence: Evidence from Topological Data Analysis
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0296-21.2022
DO 10.1523/ENEURO.0296-21.2022
VO 10
IS 2
A1 Zeus Gracia-Tabuenca
A1 Juan Carlos Díaz-Patiño
A1 Isaac Arelio-Ríos
A1 Martha Beatriz Moreno-García
A1 Fernando A. Barrios
A1 Sarael Alcauter
YR 2023
UL http://www.eneuro.org/content/10/2/ENEURO.0296-21.2022.abstract
AB 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.