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Apolipoprotein ε4 is associated with better cognitive control allocation in healthy young adults.

Nicolas Zink | Wiebke Bensmann | Larissa Arning | Christian Beste | Ann-Kathrin Stock
NeuroImage | 2019

Many gene variants may impair our health and cognitive abilities at old age, but some of them paradoxically improve the same or similar functions at much younger age (antagonistic pleiotropy hypothesis). Such a diametric pattern may also hold true for the ancestral Apolipoprotein E (APOE) ε4 allele, which increases the risk for Alzheimer's disease and cognitive decline in old age, but may benefit (pre)frontal (executive) functions in young carriers. We therefore investigated potential cognitive benefits of the risk allele on cognitive control capacities and top-down control allocation ("metacontrol") in n = 190 healthy young adults. On a behavioral level, we found young APOE ε4 carriers to better adapt to different degrees of cognitive control requirements, with superior performance in case of high control demands. On a neurophysiological level, these group differences were reflected by modulations of the N450 component, which were rooted in activation differences of the superior frontal gyrus (SFG, BA8). Taken together, our results suggest that young ε4 carriers are more efficient than non-carriers at allocating cognitive control resources based on the actual task requirements (i.e. metacontrol), as they seem to experience less conflict/exert less effort and recruit fewer additional prefrontal areas when task set complexity increases. We further found that ε2 carriers processed implicit spatial stimulus features to a stronger degree than ε3 and ε4 carriers, but failed to benefit from this, as the additional information likely increased response selection conflicts. This finding should however be treated with ample caution as the group of ε2 carriers was comparatively small.

Pubmed ID: 30342978

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sLORETA (tool)

RRID:SCR_013829

A software application which computes images of electric neuronal activity from EEG and MEG. Standard Low Resolution Brain Electromagnetic Tomography, or sLORETA, localizes “test point sources” exactly (under ideal conditions) when estimating electric neuronal generators. This property can be generalized to any source distribution, based on the principles of linearity and superposition. However, it would be noted that sLORETA has very low spatial resolution.

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