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Age-related differences in functional nodes of the brain cortex - a high model order group ICA study

Authors :
Harri Littow
Ahmed Abou Elseoud
Marianne Haapea
Matti Isohanni
Irma Moilanen
Katariina Mankinen
Juha Nikkinen
Jukka Rahko
Heikki Rantala
Jukka Remes
Tuomo Starck
Osmo Tervonen
Juha Veijola
Christian F Beckmann
Vesa J Kiviniemi
Source :
Frontiers in Systems Neuroscience, Vol 4 (2010)
Publication Year :
2010
Publisher :
Frontiers Media S.A., 2010.

Abstract

Functional MRI measured with blood oxygen dependent (BOLD) contrast in the absence of intermittent tasks reflects spontaneous activity of so called resting state networks (RSN) of the brain. Group level independent component analysis (ICA) of BOLD data can separate the human brain cortex into 42 independent RSNs. In this study we evaluated age related effects from primary motor and sensory, and, higher level control RSNs. 168 healthy subjects were scanned and divided into three groups: 55 adolescents (ADO, 13.2 ± 2.4 yrs), 59 young adults (YA, 22.2 ± 0.6yrs) , and 54 older adults (OA, 42.7 ± 0.5 yrs), all with normal IQ. High model order group probabilistic ICA components (70) were calculated and dual regression analysis was used to compare 21 RSN’s spatial differences between groups. The power spectra were derived from individual ICA mixing matrix time series of the group analyses for frequency domain analysis. We show that primary sensory and motor networks tend to alter more in younger age groups, whereas associative and higher level cognitive networks consolidate and re-arrange until older adulthood. The change has a common trend: both spatial extent and the low frequency power of the RSN’s reduce with increasing age. We interpret these result as a sign of normal pruning via focusing of activity to less distributed local hubs.

Details

Language :
English
ISSN :
16625137
Volume :
4
Database :
Directory of Open Access Journals
Journal :
Frontiers in Systems Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.53c4a6f63be5454f8ce375be5e2346ea
Document Type :
article
Full Text :
https://doi.org/10.3389/fnsys.2010.00032