Cargando…

Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity

While fMRI studies typically collapse data from many subjects, brain functional organization varies between individuals. Here, we establish that this individual variability is both robust and reliable, using data from the Human Connectome Project to demonstrate that functional connectivity profiles...

Descripción completa

Detalles Bibliográficos
Autores principales: Finn, Emily S., Shen, Xilin, Scheinost, Dustin, Rosenberg, Monica D., Huang, Jessica, Chun, Marvin M., Papademetris, Xenophon, Constable, R. Todd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008686/
https://www.ncbi.nlm.nih.gov/pubmed/26457551
http://dx.doi.org/10.1038/nn.4135
Descripción
Sumario:While fMRI studies typically collapse data from many subjects, brain functional organization varies between individuals. Here, we establish that this individual variability is both robust and reliable, using data from the Human Connectome Project to demonstrate that functional connectivity profiles act as a “fingerprint” that can accurately identify subjects from a large group. Identification was successful across scan sessions and even between task and rest conditions, indicating that an individual’s connectivity profile is intrinsic, and can be used to distinguish that individual regardless of how the brain is engaged during imaging. Characteristic connectivity patterns were distributed throughout the brain, but notably, the frontoparietal network emerged as most distinctive. Furthermore, we show that connectivity profiles predict levels of fluid intelligence; the same networks that were most discriminating of individuals were also most predictive of cognitive behavior. Results indicate the potential to draw inferences about single subjects based on functional connectivity fMRI.