Differences in directed functional brain connectivity related to age, sex and mental health.
Adult
Age Factors
Aged
Aged, 80 and over
Aging
/ physiology
Behavioral Symptoms
/ diagnostic imaging
Brain
/ diagnostic imaging
Connectome
/ methods
Databases, Factual
Female
Humans
Image Processing, Computer-Assisted
/ methods
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Nerve Net
/ diagnostic imaging
Sex Factors
Young Adult
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 10 2020
15 10 2020
Historique:
received:
20
04
2020
revised:
07
06
2020
accepted:
16
06
2020
pubmed:
3
7
2020
medline:
15
12
2021
entrez:
3
7
2020
Statut:
ppublish
Résumé
Functional interconnections between brain regions define the "connectome" which is of central interest for understanding human brain function. Resting-state functional magnetic resonance (rsfMRI) work has revealed changes in static connectivity related to age, sex, cognitive abilities and psychiatric symptoms, yet little is known how these factors may alter the information flow. The commonly used approach infers functional brain connectivity using stationary coefficients yielding static estimates of the undirected connection strength between brain regions. Dynamic graphical models (DGMs) are a multivariate model with dynamic coefficients reflecting directed temporal associations between nodes, and can yield novel insight into directed functional connectivity. Here, we leveraged this approach to test for associations between edge-wise estimates of direction flow across the functional connectome and age, sex, intellectual abilities and mental health. We applied DGM to investigate patterns of information flow in data from 984 individuals from the Human Connectome Project (HCP) and 10,249 individuals from the UK Biobank. Our analysis yielded patterns of directed connectivity in independent HCP and UK Biobank data similar to those previously reported, including that the cerebellum consistently receives information from other networks. We show robust associations between information flow and age and sex for several connections, with strongest effects of age observed in the sensorimotor network. Visual, auditory and sensorimotor nodes were also linked to mental health. Our findings support the use of DGM as a measure of directed connectivity in rsfMRI data and provide new insight into the shaping of the connectome during aging.
Identifiants
pubmed: 32613721
doi: 10.1002/hbm.25116
pmc: PMC7502836
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4173-4186Subventions
Organisme : The South-East Norway Regional Health Authority
ID : #2019107
Organisme : NORMENT
ID : #298646
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : The South-East Norway Regional Health Authority
ID : #2019101
Organisme : NORMENT
ID : #300768
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : NORMENT
ID : #249795
Organisme : SYNSCHIZ
ID : #283798
Organisme : Research Council of Norway
ID : #276082
Organisme : H2020 European Research Council: ERC StG BRAINMINT
ID : #802998
Organisme : The South-East Norway Regional Health Authority
ID : #2020086
Organisme : LifespanHealth
ID : #223273
Organisme : Swiss National Science Foundation
ID : #171598
Pays : Switzerland
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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