Phenotyping Superagers Using Resting-State fMRI.

Laiz Laura de Godoy Adalberto Studart Neto D R de Paula Nathan Green Arjama Halder P Arantes Khallil Chaim N C Moraes Monica Sanches Yassuda Ricardo Nitrini Martin Dresler Claudia da Costa Leite Jasmina Panovska-Griffiths Andrea Soddu Sotirios Bisdas

Published in: AJNR. American journal of neuroradiology (2023)

Our findings suggest that the functional connectivity in the default mode, salience, and language networks can provide potential imaging biomarkers for predicting superagers. The 7T field holds promise for the most appropriate study setting to accurately detect the functional connectivity patterns in superagers.

Keyphrases

functional connectivity
resting state
high resolution
autism spectrum disorder
high throughput
big data
photodynamic therapy