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[P2–360]: GLYCEMIC STATES MODULATE CORTICAL THICKNESS AND STRUCTURAL CONNECTIVITY IN OLD AGE
Author(s) -
Baran Timothy M.,
Ren Ping,
Vankee Lin Feng,
Lo Raymond Y.,
Lead Tee Boon
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.1015
Subject(s) - diffusion mri , fractional anisotropy , dementia , medicine , glycemic , diabetes mellitus , glycated hemoglobin , white matter , nuclear medicine , endocrinology , magnetic resonance imaging , disease , radiology , type 2 diabetes
years of education, being 59.0% female underwent 3 Tesla MRI scans with 3DT1 acquisition. From the whole sample, 45 had dementia, 26 had cognitive impairment no-dementia and 112 were cognitively healthy. The images were processed in SPM 12. Hippocampi volumes were extracted, along with other brain cortical areas important to memory using the Neuromorphometrics atlas. Multivariate linear regression was conducted with the verbal-visual episodic memory test (the delayed recall task of the Brief Cognitive Battery) as a dependent variable and the left hippocampal volume as the predictor valuable, controlling for age, the test’s learning task, the Mini-Mental State Examination (MMSE) and the sum of the other cortical regions. The same analysis was conducted after splitting the sample in low education (<4 years of education) and relatively high education (>1⁄44 years) groups. Results:The multivariate regression model explained 68.2% of the variation on the performance on the memory test, and the left hippocampus was significantly associated, along with the learning phase of the test, the MMSE and education. The model explained 60.2% in the low educated group and 74.0% in the high educated. Furthermore, the left hippocampus was significantly more associated with the performance on memory on the high educated group. Conclusions:Education can modulate the role of the left hippocampus on episodic memory performance, even at low levels (>1⁄44 years). Further studies with brain structural connectivity can clarify if these findings reflect different structural patterns of network organization related to episodic memory processing.