- Email: [email protected]
NEURAL AND COGNITIVE CORRELATES OF COGNITIVE RESERVE IN SUBJECTIVE COGNITIVE DECLINE
Podium Presentations: Tuesday, July 18, 2017
diabetes. There is a relationship of decreased CBF with obesity and growing evidence that CBF may benefit from greater levels of physical activity, thus it is reasonable to hypothesize that CBF may be enhanced by a behavioral intervention targeting weight loss through increased physical activity and reduced caloric intake. Methods: At enrollment in the Action for Health in Diabetes clinical trial, participants had Type 2 diabetes, were overweight or obese, and aged 45-76 years. They were randomly assigned to receive: 1) Intensive Lifestyle Intervention (ILI) for 8-11 years (depending on randomization date), which included group and individual counseling to induce weight loss and increase physical activity; or 2) Diabetes Support and Education (DSE), a control condition. Following this intervention, 310 participants from 3 clinical sites underwent standardized brain magnetic resonance imaging (3.0 Tesla) to assess CBF with multi-phase pseudo continuous arterial spin labeling with background suppression, an average of 10.4 years after randomization. They also underwent standardized cognitive assessments. Results: Weight changes from baseline to time of MRI averaged -6.2% for ILI versus -2.8% for DSE (p<0.001), and increases in weekly minutes of self-reported moderate or intense physical activity averaged 40% versus 12% (p¼0.03). Overall mean CBF was 6% greater among ILI compared with DSE (p¼0.037), with significant mean [95% confidence interval] differences between ILI and DSE in the limbic region and occipital lobes: 3.39 [0.07,6.70] and 3.52 [0.20,6.84] ml/100g/min, respectively. In ILI, greater CBF was associated with larger changes in weight and physical activity. The magnitude of the CBF difference between ILI and DSE varied depending on individual’s scores on a composite measure of cognitive function (p¼0.016). Conclusions: Longterm ILI focused on weight loss and increased physical activity in overweight and obese adults with Type 2 diabetes is associated with overall greater CBF. O3-11-06
NEURAL AND COGNITIVE CORRELATES OF COGNITIVE RESERVE IN SUBJECTIVE COGNITIVE DECLINE
Elena Rolandi1, Ilaria Stella1, Samantha Galluzzi1, Federica Ribaldi1, Claudia Ambrosi2, Roberto Gasparotti2, Harald Hampel3, Giovanni B. Frisoni4,5, Enrica Cavedo1,3, 1 IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; 2University of Brescia, Brescia, Italy; 3Sorbonne Universities, Pierre et Marie Curie University, Paris, France; 4 Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; 5University of Geneva, Geneva, Switzerland. Contact e-mail: [email protected] Background: Lifetime commitment in cognitive activities confers
increased brain resilience against aging and neurodegenerative disease, a phenomenon named cognitive reserve (CR). Thus, the investigation of CR in population at risk for Alzheimer’s Disease is of great interest. Aim of the present study was to investigate the neural and cognitive correlates of cognitive reserve in elderly with subjective cognitive decline (SCD). Preliminary results are shown. Methods: Fifty-four older adults with SCD underwent baseline neuropsychological assessment and 3T MRI scan. CR was measured by the Cognitive Reserve Index (CRI) (Nucci et al., 2012), a new standardized composite measure of education, occupational attain-
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ment and leisure time activities during lifespan. Composite measures representing different cognitive domains (long term memory, learning abilities, attention, executive functions, constructional praxis and global cognition) were computed averaging age-adjusted z-scores of appropriate individual tests. Pearson correlations between CRI score and cognitive domains were computed. T1-weighted images were pre-processed to perform optimized Voxel-Based Morphometry with SPM12. Simple regression between CRI score and voxel-wise gray matter (GM) volumes were computed, with age and total tissue volumes as nuisance covariates. Statistical threshold were set at p < 0.001 (uncorrected) with a spatial extent threshold of 100 voxels. Results: CRI score showed a significant positive correlation with executive functions (r ¼ 0.311; p ¼ .022) and global cognition (r ¼ 0.295; p ¼ .030). Voxel-wise analysis on GM volumes showed a significant positive correlation between CRI score and two main regions: the right fusiform gyrus and the left occipital middle gyrus (Table 1), while an inverse relation was found between CRI score and right superior frontal gyrus (Table 2). Conclusions: In elderly with SCD, a standardized proxy of CR was associated with improved global cognition and increased brain reserve in regions early affected by aging and Alzheimer’s disease. An inverse relation was found between CRI score and right superior frontal gyrus volumes, despite the significant association found between CRI and executive functions. Network analysis on the same population would help to clarify the functional meaning of these results (Stern 2016). Nucci M., Mapelli D., Mondini S. Aging Clin Exp Res. 2012 Stern Y. Brain Imaging Behav. 2016.
diabetes. There is a relationship of decreased CBF with obesity and growing evidence that CBF may benefit from greater levels of physical activity, thus it is reasonable to hypothesize that CBF may be enhanced by a behavioral intervention targeting weight loss through increased physical activity and reduced caloric intake. Methods: At enrollment in the Action for Health in Diabetes clinical trial, participants had Type 2 diabetes, were overweight or obese, and aged 45-76 years. They were randomly assigned to receive: 1) Intensive Lifestyle Intervention (ILI) for 8-11 years (depending on randomization date), which included group and individual counseling to induce weight loss and increase physical activity; or 2) Diabetes Support and Education (DSE), a control condition. Following this intervention, 310 participants from 3 clinical sites underwent standardized brain magnetic resonance imaging (3.0 Tesla) to assess CBF with multi-phase pseudo continuous arterial spin labeling with background suppression, an average of 10.4 years after randomization. They also underwent standardized cognitive assessments. Results: Weight changes from baseline to time of MRI averaged -6.2% for ILI versus -2.8% for DSE (p<0.001), and increases in weekly minutes of self-reported moderate or intense physical activity averaged 40% versus 12% (p¼0.03). Overall mean CBF was 6% greater among ILI compared with DSE (p¼0.037), with significant mean [95% confidence interval] differences between ILI and DSE in the limbic region and occipital lobes: 3.39 [0.07,6.70] and 3.52 [0.20,6.84] ml/100g/min, respectively. In ILI, greater CBF was associated with larger changes in weight and physical activity. The magnitude of the CBF difference between ILI and DSE varied depending on individual’s scores on a composite measure of cognitive function (p¼0.016). Conclusions: Longterm ILI focused on weight loss and increased physical activity in overweight and obese adults with Type 2 diabetes is associated with overall greater CBF. O3-11-06
NEURAL AND COGNITIVE CORRELATES OF COGNITIVE RESERVE IN SUBJECTIVE COGNITIVE DECLINE
Elena Rolandi1, Ilaria Stella1, Samantha Galluzzi1, Federica Ribaldi1, Claudia Ambrosi2, Roberto Gasparotti2, Harald Hampel3, Giovanni B. Frisoni4,5, Enrica Cavedo1,3, 1 IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; 2University of Brescia, Brescia, Italy; 3Sorbonne Universities, Pierre et Marie Curie University, Paris, France; 4 Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; 5University of Geneva, Geneva, Switzerland. Contact e-mail: [email protected] Background: Lifetime commitment in cognitive activities confers
increased brain resilience against aging and neurodegenerative disease, a phenomenon named cognitive reserve (CR). Thus, the investigation of CR in population at risk for Alzheimer’s Disease is of great interest. Aim of the present study was to investigate the neural and cognitive correlates of cognitive reserve in elderly with subjective cognitive decline (SCD). Preliminary results are shown. Methods: Fifty-four older adults with SCD underwent baseline neuropsychological assessment and 3T MRI scan. CR was measured by the Cognitive Reserve Index (CRI) (Nucci et al., 2012), a new standardized composite measure of education, occupational attain-
P929
ment and leisure time activities during lifespan. Composite measures representing different cognitive domains (long term memory, learning abilities, attention, executive functions, constructional praxis and global cognition) were computed averaging age-adjusted z-scores of appropriate individual tests. Pearson correlations between CRI score and cognitive domains were computed. T1-weighted images were pre-processed to perform optimized Voxel-Based Morphometry with SPM12. Simple regression between CRI score and voxel-wise gray matter (GM) volumes were computed, with age and total tissue volumes as nuisance covariates. Statistical threshold were set at p < 0.001 (uncorrected) with a spatial extent threshold of 100 voxels. Results: CRI score showed a significant positive correlation with executive functions (r ¼ 0.311; p ¼ .022) and global cognition (r ¼ 0.295; p ¼ .030). Voxel-wise analysis on GM volumes showed a significant positive correlation between CRI score and two main regions: the right fusiform gyrus and the left occipital middle gyrus (Table 1), while an inverse relation was found between CRI score and right superior frontal gyrus (Table 2). Conclusions: In elderly with SCD, a standardized proxy of CR was associated with improved global cognition and increased brain reserve in regions early affected by aging and Alzheimer’s disease. An inverse relation was found between CRI score and right superior frontal gyrus volumes, despite the significant association found between CRI and executive functions. Network analysis on the same population would help to clarify the functional meaning of these results (Stern 2016). Nucci M., Mapelli D., Mondini S. Aging Clin Exp Res. 2012 Stern Y. Brain Imaging Behav. 2016.