2015
DOI: 10.1016/j.neurobiolaging.2015.08.020
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Functional connectivity change across multiple cortical networks relates to episodic memory changes in aging

Abstract: A major task of contemporary cognitive neuroscience of aging is to explain why episodic memory declines. Change in resting-state functional connectivity (rsFC) could be a mechanism accounting for reduced function. We addressed this through 3 studies. In study 1, 119 healthy participants (20-83 years) were followed for 3.5 years with verbal recall testing and magnetic resonance imaging. Independent of atrophy, recall change was related to change in rsFC in anatomically widespread areas. Striking age-effects wer… Show more

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Cited by 68 publications
(56 citation statements)
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References 71 publications
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“…The observed correlations of SC and FC measures with age among all seven networks are consistent with published independent DTI (Westlye et al, 2010; Lebel et al, 2012; Chen et al, 2013) and rs-fMRI (Mevel et al, 2013; Cao et al, 2014; Fjell et al, 2015a) human brain aging studies. In these studies, other trajectories, such as quadratic or Poisson trajectories, were used to model age-related changes in SC (FA, MD, AD, RD) or FC across wider age ranges that included children and adolescents.…”
Section: Discussionsupporting
confidence: 86%
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“…The observed correlations of SC and FC measures with age among all seven networks are consistent with published independent DTI (Westlye et al, 2010; Lebel et al, 2012; Chen et al, 2013) and rs-fMRI (Mevel et al, 2013; Cao et al, 2014; Fjell et al, 2015a) human brain aging studies. In these studies, other trajectories, such as quadratic or Poisson trajectories, were used to model age-related changes in SC (FA, MD, AD, RD) or FC across wider age ranges that included children and adolescents.…”
Section: Discussionsupporting
confidence: 86%
“…Higher mean FC was observed for males, though the sex term in the regression model was not significant for FC in any network. Sex differences in FC in healthy adults have been reported in previous studies using graph theory (Cao et al, 2014; Scheinost et al, 2015), however, not in previous rs-fMRI aging studies in normal adults that used the same FC metric as this work (i.e., z-transformed correlation of the averaged BOLD time signal; Wang et al, 2012; Fjell et al, 2015a). …”
Section: Discussionmentioning
confidence: 53%
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“…Strength of traditional functional connectivity has been linked to performance in episodic memory tasks in aging populations (Fjell et al, 2015; Fjell et al, 2016), bipolar disorder (Oertel-Knochel et al, 2015), and schizophrenia (Haut et al, 2015). In a study measuring availability of dopamine D2 receptors, caudate-hippocampal connectivity was associated with D2 receptor availability and episodic memory, but not processing speed (Nyberg et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Functional networks estimated by glucose consumption assed by FDG-PET and cortical thickness networks interact during aging, with the first acting as a constraint to the latter (ROMERO-GARCIA; ATIENZA; CANTERO, 2014). The relationship between white matter integrity and functional networks is more elusive (ANDREWS-HANNA et al, 2007;FJELL et al, 2015a;TSANG et al, 2017), but there is enough support to the idea that functional connectivity is somewhat dissociated of structural connectivity (FJELL et al, 2017b;TSANG et al, 2017). Multimodal studies fusing structural and functional connectivity and morphometry in aging are scarce, but overall point to compensatory recruitment of areas and also increased functional connectivity with white-matter integrity preservation (BURIANOVÁ et al, 2015;MARSTALLER et al, 2015).…”
Section: Scientific Findings From Neuroimagingmentioning
confidence: 99%