Functional connectome fingerprinting across the lifespan
(2023) In Network Neuroscience 7(3). p.1206-1227- Abstract
Systematic changes have been observed in the functional architecture of the human brain with advancing age. However, functional connectivity (FC) is also a powerful feature to detect unique “connectome fingerprints,” allowing identification of individuals among their peers. Although fingerprinting has been robustly observed in samples of young adults, the reliability of this approach has not been demonstrated across the lifespan. We applied the fingerprinting framework to the Cambridge Centre for Ageing and Neuroscience cohort (n = 483 aged 18 to 89 years). We found that individuals are “fingerprintable” (i.e., identifiable) across independent functional MRI scans throughout the lifespan. We observed a U-shape distribution in the... (More)
Systematic changes have been observed in the functional architecture of the human brain with advancing age. However, functional connectivity (FC) is also a powerful feature to detect unique “connectome fingerprints,” allowing identification of individuals among their peers. Although fingerprinting has been robustly observed in samples of young adults, the reliability of this approach has not been demonstrated across the lifespan. We applied the fingerprinting framework to the Cambridge Centre for Ageing and Neuroscience cohort (n = 483 aged 18 to 89 years). We found that individuals are “fingerprintable” (i.e., identifiable) across independent functional MRI scans throughout the lifespan. We observed a U-shape distribution in the strength of “self-identifiability” (within-individual correlation across modalities), and “others-identifiability” (between-individual correlation across modalities), with a decrease from early adulthood into middle age, before improving in older age. FC edges contributing to self-identifiability were not restricted to specific brain networks and were different between individuals across the lifespan sample. Self-identifiability was additionally associated with regional brain volume. These findings indicate that individual participant-level identification is preserved across the lifespan despite the fact that its components are changing nonlinearly.
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- author
- St-Onge, Frédéric ; Javanray, Mohammadali ; Binette, Alexa Pichet LU ; Strikwerda-Brown, Cherie ; Remz, Jordana ; Spreng, R. Nathan ; Shafiei, Golia ; Misic, Bratislav ; Vachon-Presseau, Étienne and Villeneuve, Sylvia
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- fMRI, Functional connectome fingerprinting, Lifespan
- in
- Network Neuroscience
- volume
- 7
- issue
- 3
- pages
- 22 pages
- publisher
- MIT Press
- external identifiers
-
- pmid:37781144
- scopus:85175033601
- ISSN
- 2472-1751
- DOI
- 10.1162/netn_a_00320
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
- id
- b721ab52-5f3e-4a13-8c99-5f70b50d3153
- date added to LUP
- 2023-12-13 11:07:36
- date last changed
- 2024-07-05 10:30:23
@article{b721ab52-5f3e-4a13-8c99-5f70b50d3153,
abstract = {{<p>Systematic changes have been observed in the functional architecture of the human brain with advancing age. However, functional connectivity (FC) is also a powerful feature to detect unique “connectome fingerprints,” allowing identification of individuals among their peers. Although fingerprinting has been robustly observed in samples of young adults, the reliability of this approach has not been demonstrated across the lifespan. We applied the fingerprinting framework to the Cambridge Centre for Ageing and Neuroscience cohort (n = 483 aged 18 to 89 years). We found that individuals are “fingerprintable” (i.e., identifiable) across independent functional MRI scans throughout the lifespan. We observed a U-shape distribution in the strength of “self-identifiability” (within-individual correlation across modalities), and “others-identifiability” (between-individual correlation across modalities), with a decrease from early adulthood into middle age, before improving in older age. FC edges contributing to self-identifiability were not restricted to specific brain networks and were different between individuals across the lifespan sample. Self-identifiability was additionally associated with regional brain volume. These findings indicate that individual participant-level identification is preserved across the lifespan despite the fact that its components are changing nonlinearly.</p>}},
author = {{St-Onge, Frédéric and Javanray, Mohammadali and Binette, Alexa Pichet and Strikwerda-Brown, Cherie and Remz, Jordana and Spreng, R. Nathan and Shafiei, Golia and Misic, Bratislav and Vachon-Presseau, Étienne and Villeneuve, Sylvia}},
issn = {{2472-1751}},
keywords = {{fMRI; Functional connectome fingerprinting; Lifespan}},
language = {{eng}},
number = {{3}},
pages = {{1206--1227}},
publisher = {{MIT Press}},
series = {{Network Neuroscience}},
title = {{Functional connectome fingerprinting across the lifespan}},
url = {{http://dx.doi.org/10.1162/netn_a_00320}},
doi = {{10.1162/netn_a_00320}},
volume = {{7}},
year = {{2023}},
}