Mapping individual structural covariance network in development brain with dynamic time warping.
Cereb Cortex
; 34(2)2024 01 31.
Article
in En
| MEDLINE
| ID: mdl-38342688
ABSTRACT
A conspicuous property of brain development or maturity is coupled with coordinated or synchronized brain structural co-variation. However, there is still a lack of effective approach to map individual structural covariance network. Here, we developed a novel individual structural covariance network method using dynamic time warping algorithm and applied it to delineate developmental trajectories of topological organizations of structural covariance network from childhood to early adulthood with a large sample of 655 individuals from Human Connectome Project-Development dataset. We found that the individual structural covariance network exhibited small-worldness property and the network global topological characteristics including small-worldness, global efficiency, local efficiency, and modularity linearly increase with age while the shortest path length linearly decreases with age. The nodal topological properties including betweenness and degree increased with age in language and emotion regulation related brain areas, while it decreased with age mainly in visual cortex, sensorimotor area, and hippocampus. Moreover, the topological attributes of structural covariance network as features could predict the age of each individual. Taken together, our results demonstrate that dynamic time warping can effectively map individual structural covariance network to uncover the developmental trajectories of network topology, which may facilitate future investigations to establish the links of structural co-variations with respect to cognition and disease vulnerability.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Connectome
/
Sensorimotor Cortex
Type of study:
Prognostic_studies
Limits:
Adult
/
Child
/
Humans
Language:
En
Journal:
Cereb Cortex
Journal subject:
CEREBRO
Year:
2024
Type:
Article
Affiliation country:
China