Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability.
Cereb Cortex
; 26(10): 4004-14, 2016 10.
Article
em En
| MEDLINE
| ID: mdl-26334050
ABSTRACT
The connectivity architecture of the human brain varies across individuals. Mapping functional anatomy at the individual level is challenging, but critical for basic neuroscience research and clinical intervention. Using resting-state functional connectivity, we parcellated functional systems in an "embedding space" based on functional characteristics common across the population, while simultaneously accounting for individual variability in the cortical distribution of functional units. The functional connectivity patterns observed in resting-state data were mapped in the embedding space and the maps were aligned across individuals. A clustering algorithm was performed on the aligned embedding maps and the resulting clusters were transformed back to the unique anatomical space of each individual. This novel approach identified functional systems that were reproducible within subjects, but were distributed across different anatomical locations in different subjects. Using this approach for intersubject alignment improved the predictability of individual differences in language laterality when compared with anatomical alignment alone. Our results further revealed that the strength of association between function and macroanatomy varied across the cortex, which was strong in unimodal sensorimotor networks, but weak in association networks.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Encéfalo
/
Variação Biológica Individual
/
Vias Neurais
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article