Premium
Long‐term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence
Author(s) -
Sato João Ricardo,
Biazoli Claudinei Eduardo,
Zugman André,
Pan Pedro Mario,
Bueno Ana Paula Arantes,
Moura Luciana Monteiro,
Gadelha Ary,
Picon Felipe Almeida,
Amaro Edson,
Salum Giovanni Abrahão,
Miguel Euripedes Constantino,
Rohde Luis Augusto,
Bressan Rodrigo Affonseca,
Jackowski Andrea Parolin
Publication year - 2021
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.15435
Subject(s) - connectome , human connectome project , neuroscience , psychology , functional connectivity , discriminative model , neuroimaging , default mode network , resting state fmri , dorsum , connectomics , medicine , artificial intelligence , computer science , anatomy
There is compelling evidence showing that between‐subject variability in several functional and structural brain features is sufficient for unique identification in adults. However, individuation of brain functional connectomes depends on the stabilization of neurodevelopmental processes during childhood and adolescence. Here, we aimed to (1) evaluate the intra‐subject functional connectome stability over time for the whole brain and for large scale functional networks and (2) determine the long‐term identification accuracy or ‘fingerprinting’ for the cortical volumetric profile and the functional connectome. For these purposes, we analysed a longitudinal cohort of 239 children and adolescents scanned in two sessions with an interval of approximately 3 years (age range 6–15 years at baseline and 9–18 years at follow‐up). Corroborating previous results using short between‐scan intervals in children and adolescents, we observed a moderate identification accuracy (38%) for the whole functional profile. In contrast, identification accuracy using cortical volumetric profile was 95%. Among the large‐scale networks, the default‐mode (26.8%), the frontoparietal (23.4%) and the dorsal‐attention (27.6%) networks were the most discriminative. Our results provide further evidence for a protracted development of specific individual structural and functional connectivity profiles.