Literature DB >> 33423111

Role of dopamine and gray matter density in aging effects and individual differences of functional connectomes.

Benjamín Garzón1,2, Martin Lövdén3, Lieke de Boer3, Jan Axelsson4,5, Katrine Riklund4,5, Lars Bäckman3, Lars Nyberg4,5,6, Marc Guitart-Masip3,7.   

Abstract

With increasing age, functional connectomes become dissimilar across normal individuals, reflecting heterogenous aging effects on functional connectivity (FC). We investigated the distribution of these effects across the connectome and their relationship with age-related differences in dopamine (DA) D1 receptor availability and gray matter density (GMD). With this aim, we determined aging effects on mean and interindividual variance of FC using fMRI in 30 younger and 30 older healthy subjects and mapped the contribution of each connection to the patterns of age-related similarity loss. Aging effects on mean FC accounted mainly for the dissimilarity between connectomes of younger and older adults, and were related, across brain regions, to aging effects on DA D1 receptor availability. Aging effects on the variance of FC indicated a global increase in variance with advancing age, explained connectome dissimilarity among older subjects and were related to aging effects on variance of GMD. The relationship between aging and the similarity of connectomes can thus be partly explained by age differences in DA modulation and gray matter structure.

Entities:  

Keywords:  Aging; Dopamine; Functional connectome; PET; fMRI

Year:  2021        PMID: 33423111      PMCID: PMC7981334          DOI: 10.1007/s00429-020-02205-4

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  76 in total

1.  Aging cognition: from neuromodulation to representation.

Authors:  Shu Chen Li; Ulman Lindenberger; Sverker Sikström
Journal:  Trends Cogn Sci       Date:  2001-11-01       Impact factor: 20.229

2.  Benefits of multi-modal fusion analysis on a large-scale dataset: life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure.

Authors:  Adrian R Groves; Stephen M Smith; Anders M Fjell; Christian K Tamnes; Kristine B Walhovd; Gwenaëlle Douaud; Mark W Woolrich; Lars T Westlye
Journal:  Neuroimage       Date:  2012-06-29       Impact factor: 6.556

3.  A fast diffeomorphic image registration algorithm.

Authors:  John Ashburner
Journal:  Neuroimage       Date:  2007-07-18       Impact factor: 6.556

4.  ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.

Authors:  Raimon H R Pruim; Maarten Mennes; Daan van Rooij; Alberto Llera; Jan K Buitelaar; Christian F Beckmann
Journal:  Neuroimage       Date:  2015-03-11       Impact factor: 6.556

5.  Functional connectivity during rested wakefulness predicts vulnerability to sleep deprivation.

Authors:  B T Thomas Yeo; Jesisca Tandi; Michael W L Chee
Journal:  Neuroimage       Date:  2015-02-17       Impact factor: 6.556

6.  Age effect on the default mode network, inner thoughts, and cognitive abilities.

Authors:  Katell Mevel; Brigitte Landeau; Marine Fouquet; Renaud La Joie; Nicolas Villain; Florence Mézenge; Audrey Perrotin; Francis Eustache; Béatrice Desgranges; Gaël Chételat
Journal:  Neurobiol Aging       Date:  2012-10-18       Impact factor: 4.673

7.  Differential and distributed effects of dopamine neuromodulations on resting-state network connectivity.

Authors:  David M Cole; Christian F Beckmann; Nicole Y L Oei; Stephanie Both; Joop M A van Gerven; Serge A R B Rombouts
Journal:  Neuroimage       Date:  2013-04-18       Impact factor: 6.556

8.  Global signal regression strengthens association between resting-state functional connectivity and behavior.

Authors:  Jingwei Li; Ru Kong; Raphaël Liégeois; Csaba Orban; Yanrui Tan; Nanbo Sun; Avram J Holmes; Mert R Sabuncu; Tian Ge; B T Thomas Yeo
Journal:  Neuroimage       Date:  2019-04-08       Impact factor: 6.556

9.  The influence of head motion on intrinsic functional connectivity MRI.

Authors:  Koene R A Van Dijk; Mert R Sabuncu; Randy L Buckner
Journal:  Neuroimage       Date:  2011-07-23       Impact factor: 6.556

Review 10.  Can brain state be manipulated to emphasize individual differences in functional connectivity?

Authors:  Emily S Finn; Dustin Scheinost; Daniel M Finn; Xilin Shen; Xenophon Papademetris; R Todd Constable
Journal:  Neuroimage       Date:  2017-03-31       Impact factor: 6.556

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  1 in total

1.  DyNAMiC: A prospective longitudinal study of dopamine and brain connectomes: A new window into cognitive aging.

Authors:  Kristin Nordin; Tetiana Gorbach; Robin Pedersen; Vania Panes Lundmark; Jarkko Johansson; Micael Andersson; Charlotte McNulty; Katrine Riklund; Anders Wåhlin; Goran Papenberg; Grégoria Kalpouzos; Lars Bäckman; Alireza Salami
Journal:  J Neurosci Res       Date:  2022-03-16       Impact factor: 4.433

  1 in total

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