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Type 2 diabetes predicts accelerated cognitive decline and brain atrophy. We hypothesized that impaired fasting glucose (IFG) and incident glucose disorders have detrimental effects on global cognition and brain volume. We further hypothesized that metabolic and inflammatory derangements accompanying hyperglycaemia contribute to change in brain structure and function. This was a longitudinal study of a community-dwelling elderly cohort with neuropsychological testing (n = 880) and brain volumes by magnetic resonance imaging (n = 312) measured at baseline and 2 years. Primary outcomes were global cognition and total brain volume. Secondary outcomes were cognitive domains (processing speed, memory, language, visuospatial and executive function) and brain volumes (hippocampal, parahippocampal, precuneus and frontal lobe). Participants were categorised as normal, impaired fasting glucose at both assessments (stable IFG), baseline diabetes or incident glucose disorders (incident diabetes or IFG at 2 years). Measures included inflammatory cytokines and oxidative metabolites. Covariates were age, sex, education, non-English speaking background, smoking, blood pressure, lipid-lowering or antihypertensive medications, mood score, apolipoprotein E genotype and baseline cognition or brain volume. Participants with incident glucose disorders had greater decline in global cognition and visuospatial function compared to normal, similar to that observed in baseline diabetes. Homocysteine was independently associated with the observed effect of diabetes on executive function. Apolipoprotein E genotype did not influence the observed effects of diabetes on cognition. Incident glucose disorders and diabetes were also associated with greater 2-year decline in total brain volume, compared to normal (40.0 ± 4.2 vs. 46.7 ± 5.7 mm(3) vs. 18.1 ± 6.2, respectively, p < 0.005). Stable IFG did not show greater decline in global cognition or brain volumes compared to normal. Incident glucose disorders, like diabetes, are associated with accelerated decline in global cognition and brain volumes in non-demented elderly, whereas stable IFG is not. Preventing deterioration in glucose metabolism in the elderly may help preserve brain structure and function.

Higher levels of macrophage inhibitory cytokine-1, also known as growth differentiation factor 15 (MIC-1/GDF15), are associated with adverse health outcomes and all-cause mortality. The aim of this study was to examine the relationships between MIC-1/GDF15 serum levels and global cognition, five cognitive domains, and mild cognitive impairment (MCI), at baseline (Wave 1) and prospectively at 2 years (Wave 2), in nondemented participants aged 70-90 years. Analyses were controlled for age, sex, education, Framingham risk score, history of cerebrovascular accident, acute myocardial infarction, angina, cancer, depression, C-reactive protein, tumor necrosis factor-α, interleukins 6 and 12, and apolipoprotein ε4 genotype. Higher MIC-1/GDF15 levels were significantly associated with lower global cognition at both waves. Cross-sectional associations were found between MIC-1/GDF15 and all cognitive domains in Wave 1 (all P < 0.001) and between processing speed, memory, and executive function in Wave 2 (all P < 0.001). Only a trend was found for the prospective analyses, individuals with high MIC-1/GDF15 at baseline declined in global cognition, executive function, memory, and processing speed. However, when categorizing MIC-1/GDF15 by tertiles, prospective analyses revealed statistically significant lower memory and executive function in Wave 2 in those in the upper tertile compared with the lower tertile. Receiver operating characteristics (ROC) analysis was used to determine MIC-1/GDF15 cutoff values associated with cognitive decline and showed that a MIC-1/GDF15 level exceeding 2764 pg/ml was associated with a 20% chance of decline from normal to MCI or dementia. In summary, MIC-1/GDF15 levels are associated with cognitive performance and cognitive decline. Further research is required to determine the pathophysiology of this relationship., (© 2013 The Anatomical Society and John Wiley & Sons Ltd.)

Inflammation may contribute to cognitive decline and dementia. This study examined the cross-sectional relationships between markers of systemic inflammation (C-reactive protein, interleukins-1β, -6, -8, -10, -12, plasminogen activator inhibitor, serum amyloid A, tumour necrosis factor-α and vascular adhesion molecule-1) and cognitive function in 873 non-demented community-dwelling elderly participants aged 70-90 years. Regression analyses were performed to determine the relationships between cognitive domains and inflammatory markers, controlling for age, sex, education, cardiovascular risk factors, obesity and other metabolic factors, smoking, alcohol consumption, depression and presence of the apolipoprotein ε4 genotype. Regression analyses were repeated using four factors derived from a factor analysis of the cognitive tests. After Bonferroni correction for multiple testing, associations remained between raised levels of interleukin-12 and reduced performance in processing speed. Marked sex differences were noted in the abovementioned findings, with only females being significantly affected. Using the four factors derived from the factor analyses of cognitive test as dependent variables, interleukins-12 and -6 were both associated with the processing speed/executive function factor, even after controlling for relevant confounding factors. Thus, markers of systemic inflammation are related to cognitive deficits in a non-clinical community-dwelling elderly population, independent of depression, cardiovascular or metabolic risk factors, or presence of apolipoprotein ε4 genotype. Additional research is required to elucidate the pathophysiology and longitudinal development of these relationships.

Amnestic mild cognitive impairment (aMCI) is a syndrome widely considered to be prodromal Alzheimer's disease. Accurate diagnosis of aMCI would enable earlier treatment, and could thus help minimize the prevalence of Alzheimer's disease. The aim of the present study was to evaluate a magnetic resonance imaging-based automated classification schema for identifying aMCI. This was carried out in a sample of community-dwelling adults aged 70-90 years old: 79 with a clinical diagnosis of aMCI and 204 who were cognitively normal. Our schema was novel in using measures of both spatial atrophy, derived from T1-weighted images, and white matter alterations, assessed with diffusion tensor imaging (DTI) tract-based spatial statistics (TBSS). Subcortical volumetric features were extracted using a FreeSurfer-initialized Large Deformation Diffeomorphic Metric Mapping (FS+LDDMM) segmentation approach, and fractional anisotropy (FA) values obtained for white matter regions of interest. Features were ranked by their ability to discriminate between aMCI and normal cognition, and a support vector machine (SVM) selected an optimal feature subset that was used to train SVM classifiers. As evaluated via 10-fold cross-validation, the classification performance characteristics achieved by our schema were: accuracy, 71.09%; sensitivity, 51.96%; specificity, 78.40%; and area under the curve, 0.7003. Additionally, we identified numerous socio-demographic, lifestyle, health and other factors potentially implicated in the misclassification of individuals by our schema and those previously used by others. Given its high level of performance, our classification schema could facilitate the early detection of aMCI in community-dwelling elderly adults., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Neuropsychiatric symptoms (NPS) are non-cognitive disturbances such as depression. Rates of NPS have been shown to increase as cognitive ability declines and may be useful in predicting transition from mild cognitive impairment (MCI) to dementia. This community-based study reports the association between NPS and cognitive decline over two years. Participants included 873 community dwelling adults aged 70-90 years enrolled in the Sydney Memory and Ageing Study. NPS were assessed by the Neuropsychiatric Inventory (NPI). Cognitive impairment was defined by diagnosis (MCI or incident dementia) or neuropsychological test performance across five cognitive domains. Cognitive decline was defined by progression to dementia or worse neuropsychological performance. Total NPS at baseline did not differ between those without cognitive impairment (26.2%) and those with MCI (28.8%), but agitation and apathy were associated with MCI. Only baseline depression was associated with dementia at follow-up. Total NPS at baseline was cross-sectionally associated with cognitive impairment in executive function, attention, and global cognition, but did not predict cognitive decline. Depression, anxiety, agitation, anxiety, and apathy were all associated with impairment in at least one cognitive domain, but only anxiety and agitation were significantly associated with cognitive decline. Sensitivity analyses applied more stringent criteria for NPS and cognitive impairment in MCI but did not alter interpretation of results from the main analysis. Overall rates of NPS at baseline were not associated with MCI, dementia, or cognitive decline over two years. Additional follow-up is needed to further examine this association over a longer time course.

Depressive symptoms are common in the elderly and they have been associated with cognitive and functional impairment. However, relatively less is known about the relationship of a lifetime history of depression to cognitive impairment and functional status. The aim of this cross-sectional study was to assess whether current depressive symptoms and past depression are associated with cognitive or functional impairment in a community-based sample representative of east Sydney, Australia. We also examined whether there was an interaction between current and past depression in their effects on cognitive performance. Eight hundred non-demented aged participants received a neuropsychological assessment, a past psychiatric history interview and the 15-item Geriatric Depression Scale. The Bayer-Activities of Daily Living scale was completed by an informant to determine functional ability. Clinically relevant depressive symptoms were present in 6.1% of the sample and 16.6% reported a history of depression. Participants with current depression had significantly higher levels of psychological distress and anxiety, and lower life satisfaction and performed worse on memory and executive function compared to participants without current depression. After controlling for anxiety the effect on executive function was no longer significant while the effect on memory remained significant. A history of depression was associated with worse executive function, higher levels of psychological distress and anxiety, and lower life satisfaction. After controlling for psychological distress the effect of past depression on executive function was no longer significant. There were no significant interactions between current and past depression in their effects on cognitive performance. There were no differences between participants with or without current depression and with or without past depression on functional abilities. These results support the view that current and past depressive episodes are associated with poorer cognitive performance but not with functional abilities., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Objective: While activities of daily living are by definition preserved in mild cognitive impairment (MCI), there is evidence of poorer instrumental activities of daily living (IADL) functioning in MCI compared to normal ageing. The aims of the present study were to examine differences in IADL between individuals with MCI and cognitively normal elderly, and to examine the relationships of IADL with cognitive functions., Methods: The sample of 762 community-living participants aged 70-90 were assessed with a comprehensive neuropsychological test battery and with the informant-completed Bayer-Activities of Daily Living Scale (B-ADL)., Results: Compared to cognitively normal individuals, the MCI group was rated as having more difficulties on the B-ADL and performed worse on cognitive tests. Factor analysis of the B-ADL items yielded two factors, which were labelled 'high cognitive demand' (HCD) and 'low cognitive demand' (LCD). Individuals with MCI scored worse than cognitively normal participants on the HCD factor but similarly on the LCD factor. Men were rated as having more difficulties on the HCD, but not the LCD, factor compared to women. The HCD factor score correlated significantly with all five cognitive domains measured, but the LCD factor correlated significantly only with attention/processing speed and to a lesser extent with executive function., Conclusions: Having more difficulties in IADL, especially those with higher demand on cognitive capacities, was found to be associated with MCI and overall cognitive functioning. This has implications for the definition of MCI, as lack of functional impairment is generally used as a criterion for diagnosis., (Copyright © 2010 John Wiley & Sons, Ltd.)

Background: Early detection of progressive cognitive decline offers an opportunity for preventative interventions with enormous public health implications. Functional neuroimaging during cognitive activity in individuals at risk of dementia has the potential to advance this objective. In a prior study, we evaluated the utility of a novel functional magnetic resonance imaging paradigm that incorporated a graded working memory (WM) task to detect changes associated with mild cognitive impairment (MCI). We observed greater deactivation of posteromedial cortex (PMC) under conditions of increased WM load in MCI compared with control subjects. Our objective here is to test whether this paradigm can predict ensuing functional decline., Methods: Thirty individuals with MCI who underwent baseline functional magnetic resonance image scanning were followed clinically for 2 years. Multiple linear regression analyses were used to determine whether deactivation in PMC under increased load at baseline independently predicted decline in instrumental activities of daily living (IADL)., Results: Greater deactivation in PMC to increased load predicted greater decline in IADL after controlling for baseline clinical severity, MCI subtype, apolipoprotein ε4 carrier status, gray matter, PMC and hippocampal volumes, and task performance., Conclusions: Increased deactivation observed at baseline was a harbinger of subsequent functional decline as measured by IADL in a cohort with MCI. This graded WM challenge may operate like a memory stress test by producing a threshold effect beyond which abnormal deactivation is elicited in MCI subjects who are at greatest risk of functional decline., (Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

The basal forebrain area (BFA) is closely connected to the hippocampus by virtue of cholinergic neuronal projections. Structural neuroimaging studies have shown reduced volumes of both structures in Alzheimer's disease and its prodromal stage mild cognitive impairment (MCI), but generally not in the same investigation. By combining voxel based morphometry and region of interest methods, we measured the grey matter (GM) volumes of the two brain regions with the goal of elucidating their contributions to MCI and its two subtypes (amnestic MCI and non-amnestic MCI) in an elderly epidemiological sample. The results replicated previous findings that the atrophies of both brain regions were associated with an increased likelihood of MCI and its two subtypes. However, in a regression model for the prediction of MCI with GM volumes for both regions used as predictors, only hippocampal atrophy remained significant. Two possible interpretations for this pattern of results were discussed. One is that the observed correlation between BFA atrophy and MCI is spurious and due to the hippocampal atrophy correlated with both. Alternatively, our observation is consistent with the possibility that BFA atrophy has a causal effect on MCI, which is mediated via its influence on hippocampal atrophy. Furthermore, we found that the left hippocampal atrophy had a stronger effect than the right hippocampus and bilateral BFA in the prediction of amnestic MCI occurrence when the four unilateral areas were entered into one regression model. In addition, a slight but statistically significant difference was found in the left hippocampal volume between APOE ε4 allele carriers and non-carriers, consistent with prior studies.

Background: The Sydney Memory and Ageing Study (Sydney MAS) was initiated in 2005 to examine the clinical characteristics and prevalence of mild cognitive impairment (MCI) and related syndromes, and to determine the rate of change in cognitive function over time., Methods: Non-demented community-dwelling individuals (N = 1037) aged 70-90 were recruited from two areas of Sydney, following a random approach to 8914 individuals on the electoral roll. They underwent detailed neuropsychiatric and medical assessments and donated a blood sample for clinical chemistry, proteomics and genomics. A knowledgeable informant was also interviewed. Structural MRI scans were performed on 554 individuals, and subgroups participated in studies of falls and balance, metabolic and inflammatory markers, functional MRI and prospective memory. The cohort is to be followed up with brief telephone reviews annually, and detailed assessments biannually., Results: This is a generally well-functioning cohort mostly living in private homes and rating their health as being better than average, although vascular risk factors are common. Most (95.5%) participants or their informants identified a cognitive difficulty, and 43.5% had impairment on at least one neuropsychological test. MCI criteria were met by 34.8%; with 19.3% qualifying for amnestic MCI, whereas 15.5% had non-amnestic MCI; 1.6% had impairment on neuropsychological test performance but no subjective complaints; and 5.8% could not be classified. The rate of MCI was 30.9% in the youngest (70-75) and 39.1% in the oldest (85-90) age bands. Rates of depression and anxiety were 7.1% and 6.9% respectively., Conclusions: Cognitive complaints are common in the elderly, and nearly one in three meet criteria for MCI. Longitudinal follow-up of this cohort will delineate the progression of complaints and objective cognitive impairment, and the determinants of such change.

Objectives: Objective cognitive impairment determined by neuropsychological test performance is a core criterion for the diagnosis of mild cognitive impairment (MCI), yet no consensus has been reached on how this criterion should be operationalized. The aims of this study were to investigate the effect of varying the criteria used to determine cognitive impairment (CI) on prevalence and case definition and to examine comparability of different criteria., Design: Cross-sectional study., Setting: Sydney Memory and Ageing Study, Australia., Participants: Nine hundred eighty-seven nondemented community-dwelling adults aged 70-90 years were enrolled in this study., Measurements: Participants received a comprehensive neuropsychological test battery measuring four cognitive domains. They were classified as normal or cognitively impaired by applying two types of “impairment” rule that varied the statistical threshold for impairment and the criteria used to determine impairment for each cognitive domain. Prevalence of four MCI cognitive subtypes was determined according to nine different criteria and two types of normative data. Rates of CI were compared in persons of English-speaking and non-English-speaking backgrounds (NESB)., Results: Prevalence of CI ranged from 4 to 70% depending on the impairment criteria used. Agreement between different criteria was poor to moderate. This lack of consistency had greatest impact on MCI subtype classifications with many being reclassified as “normal” or into a different subtype when stringency of the criteria was increased or decreased. Higher rates of impairment were found in persons of NESB across all cognitive domains., Conclusions: The prevalence of CI was strongly affected by the choice of neuropsychological assessment parameters. Guidelines for operationalizing CI are required.

Objectives: To document the prevalence of self- and informant report of cognitive problems, usually referred to as "subjective cognitive complaints" (SCCs), in a community-dwelling sample of older adults and to examine the relationship between SCCs and objective impairment, mood, and personality measures., Participants: Eight hundred twenty-seven nondemented community-dwelling adults aged 70-90 years., Measurements: Participants were asked 24 SCC questions, including the Memory Complaint Questionnaire (MAC-Q), and completed neuropsychological testing in the domains of memory, language, executive function, visuospatial skills, and psychomotor speed. The Geriatric Depression Scale, Goldberg Anxiety Scale, and Neuroticism, Openness, and Conscientiousness from the NEO-Five Factor Inventory were used as measures of participants' psychological status. Informants completed 19 SCC questions, including a modified short Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE)., Results: Overall, 95.5% of participants or their informants endorsed at least one SCC. Although participants were more likely to endorse a memory complaint, informants seemed more accurate in endorsing a complaint when cognitive impairment was objectively present. SCC correlated with participants' scores on measures of depression, anxiety, neuroticism, and inversely with measures of openness and conscientiousness. Age, education, and sex had little impact on these effects. Regression analysis showed that psychological factors explained the number of complaints more than cognitive performance., Conclusions: The usefulness of SCCs as a criterion for mild cognitive impairment is questioned because of their high prevalence and their relationship to psychological factors. This may be helpful for clinicians to bear in mind when presented with patients with cognitive complaints.

Background/aims: Raised low-grade systemic inflammation has been associated with dementia, and preliminary studies suggest an association with mild cognitive impairment (MCI). This study examines the relationship between systemic inflammation and MCI subtypes., Methods: We measured the inflammatory markers C-reactive protein, interleukins (IL)-1β, -6, -8, -10 and -12, plasminogen activator inhibitor-1 (PAI-1), serum amyloid A (SAA), tumor necrosis factor-α (TNF-α) and vascular adhesion molecule-1 (VCAM-1) in the Sydney Memory and Ageing Study (MAS) cohort, a longitudinal study of 1,037 Australians aged 70-90 years., Results: After adjusting for possible confounding variables, levels of TNF-α and SAA were higher in participants with MCI compared to cognitively normal individuals, and some sex differences were apparent. Nonamnestic multiple domain MCI was associated with higher levels of IL-1β and IL-12, TNF-α and SAA compared to cognitively normal, amnestic MCI (single and multiple domain) and nonamnestic single domain MCI. PAI-1 levels were higher in cognitively normal and nonamnestic multiple domain MCI than in amnestic multiple domain MCI., Conclusion: Our findings suggest an association between specific inflammatory markers and MCI subtypes, highlight sex differences in the association with MCI, and point to a discrete impact of systemic inflammation on cognition., (Copyright © 2011 S. Karger AG, Basel.)

Objectives: Mild cognitive impairment (MCI) is recognized as a predementia state, but its definition is inconsistent and only 20%-30% develop dementia after 2 years. Biomarkers may help identify individuals at greatest risk of progressive decline. The authors examine a novel neuroimaging technique, diffusion tensor imaging (DTI) as a potential biomarker of MCI., Design: Cross-sectional prospective study., Setting: Subjects were recruited randomly using the electoral roll from two electorates in East Sydney, Australia., Participants: A community-dwelling sample (N = 249) and age 70-90 years., Measurements: Screening to exclude dementia, comprehensive neuropsychiatric assessment, cognitive test battery, structural magnetic resonance imaging and DTI to obtain measures of fractional anisotropy (FA) and mean diffusivity (MD). MCI was diagnosed by standard criteria., Results: After controlling for age, sex, and years of education, the amnestic MCI (aMCI) group demonstrated microstructural pathology in the parahippocampal white matter, frontal white matter, splenium of corpus callosum, and posterior cingulate region. The nonamnestic MCI (naMCI) group demonstrated microstructural pathology in the frontal white matter, internal capsule, occipital white matter, and the posterior cingulate region. A binary logistic regression model showed that DTI of the left posterior cingulate was significant in identifying persons with aMCI to an accuracy of 85.1%. Receiver operating characteristics curve analysis yielded a sensitivity of 80% and specificity of 60.3% in distinguishing aMCI from naMCI and the normal comparison group., Conclusion: DTI of the posterior cingulate region discriminates MCI from cognitively normal individuals with accuracy and has the potential to be used as a biomarker of MCI, in particular aMCI.