(20-05-2017) Determinants of fluid intelligence in healthy aging: Omega-3 polyunsaturated fatty acid status and frontoparietal cortex structure.

Zamroziewicz MK1,2,3, Paul EJ1,2, Zwilling CE1,2, Barbey AK1,2,3,4,5,6,7.
Author information

Abstract
INTRODUCTION:
Accumulating evidence indicates that cognitive decline depends not only upon changes in brain health, but critically, also upon nutritional status. Decline in fluid intelligence, one of the most debilitating aspects of cognitive aging, has been linked to omega-3 polyunsaturated fatty acid (PUFA) status; however, it is not known whether this phenomenon results from specific omega-3 PUFAs acting on particular aspects of brain health. Therefore, this study aims to explore whether particular patterns of omega-3 PUFAs influence fluid intelligence by supporting specific neural structures.

METHODS:
We measured six plasma phospholipid omega-3 PUFAs, fluid intelligence, and regional gray matter volume in the frontal and parietal cortices in 100 cognitively intact older adults (65-75 years old). A four-step mediation analysis was implemented using principal component analysis and multivariate linear regressions, adjusted for age, gender, education, and body mass index.

RESULTS:
The mediation analysis revealed that one pattern of omega-3 PUFAs, consisting of alpha-linolenic acid, stearidonic acid, and eicosatrienoic acid, was linked to fluid intelligence, and that total gray matter volume of the left frontoparietal cortex (FPC) fully mediated the relationship between this omega-3 PUFA pattern and fluid intelligence.

DISCUSSION:
These data demonstrate that fluid intelligence may be optimally supported by specific omega-3 PUFAs through preservation of FPC gray matter structure in cognitively intact older adults. This report provides novel evidence for the benefits of particular omega-3 PUFA patterns on fluid intelligence and underlying gray matter structure.

KEYWORDS:
Brain aging; Cognitive aging; Cognitive performance; Cortical integrity; Nutrient biomarker patterns; Nutrient biomarkers; Nutritional cognitive neuroscience

PMID: 28492102 DOI: 10.1080/1028415X.2017.1324357

Source: Nutr Neurosci. 2017 May 11:1-10. doi: 10.1080/1028415X.2017.1324357.