2009
DOI: 10.1073/pnas.0811879106
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Distinct patterns of brain activity in young carriers of the APOE -ε4 allele

Abstract: The APOE 4 allele is a risk factor for late-life pathological changes that is also associated with anatomical and functional brain changes in middle-aged and elderly healthy subjects. We investigated structural and functional effects of the APOE polymorphism in 18 young healthy APOE 4-carriers and 18 matched noncarriers (age range: 20 -35 years). Brain activity was studied both at rest and during an encoding memory paradigm using blood oxygen level-dependent fMRI. Resting fMRI revealed increased ''default mode… Show more

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Cited by 1,506 publications
(1,273 citation statements)
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References 63 publications
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“…The regions of changed centrality partially coincide with previous work that reported brain regions with default mode network (DMN)‐related changes in APOE‐ε4 carriers (Filippini et al., 2009), most markedly the precuneus. Those did not include the visual cortex as the statistical analyses were limited to changes inside the DMN.…”
Section: Discussionmentioning
confidence: 98%
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“…The regions of changed centrality partially coincide with previous work that reported brain regions with default mode network (DMN)‐related changes in APOE‐ε4 carriers (Filippini et al., 2009), most markedly the precuneus. Those did not include the visual cortex as the statistical analyses were limited to changes inside the DMN.…”
Section: Discussionmentioning
confidence: 98%
“…Overall, the most frequently reported changes are weakened DMN connectivity in middle‐aged and older subjects (Goveas et al., 2013; Machulda et al., 2011; Reiman et al., 1996; Sheline et al., 2010; Wang et al., 2012) and, less frequently, increased DMN connectivity in young adults (Filippini et al., 2009; Fleisher et al., 2009). Our results demonstrate early visual effects in a population study with realistic proportions of carriers and noncarriers, which shows the applicability of functional measures in a community setting.…”
Section: Discussionmentioning
confidence: 99%
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“…RS‐fMRI networks were thereafter extracted from each individual denoised RS‐fMRI dataset (12 subjects × 3 days × 6 scans = 216 datasets) applying a dual regression analysis [Beckmann et al, 2009; Filippini et al, 2009] based on 10 predefined standard network templates as used in our previous research [Klaassens et al, 2015]. Confound regressors of time series from white matter (measured from the center of the corpus callosum) and cerebrospinal fluid (measured from the center of lateral ventricles) were included in this analysis to account for non‐neuronal signal fluctuations [Birn, 2012].…”
Section: Methodsmentioning
confidence: 99%