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Amyloid deposition occurs in aging, even in individuals free from cognitive symptoms, and is often interpreted as preclinical Alzheimer's disease (AD) pathophysiology. YKL-40 is a marker of neuroinflammation, being increased in AD, and hypothesized to interact with amyloid-β (Aβ) in causing cognitive decline early in the cascade of AD pathophysiology. Whether and how Aβ and YKL-40 affect brain and cognitive changes in cognitively healthy older adults is still unknown. We studied 89 participants (mean age: 73.1 years) with cerebrospinal fluid samples at baseline, and both MRI and cognitive assessments from two time-points separated by two years. We tested how baseline levels of Aβ42 and YKL-40 correlated with changes in cortical thickness and cognition. Thickness change correlated with Aβ42 only in Aβ42+ participants (<600 pg/mL, n = 27) in the left motor and premotor cortices. Aβ42 was unrelated to cognitive change. Increased YKL-40 was associated with less preservation of scores on the animal naming test in the total sample (r = -0.28, p = 0.012) and less preservation of a score reflecting global cognitive function for Aβ42+ participants (r = -0.58, p = 0.004). Our results suggest a role for inflammation in brain atrophy and cognitive changes in cognitively normal older adults, which partly depended on Aβ accumulation.

PSEN1 mutations are the most frequent cause of autosomal dominant Alzheimer's disease (ADAD), and show nearly full penetrance. There is presently increasing interest in the study of biomarkers that track disease progression in order to test therapeutic interventions in ADAD. We used white mater (WM) volumetric characteristics and diffusion tensor imaging (DTI) metrics to investigate correlations with the normalized time to expected symptoms onset (relative age ratio) and group differences in a cohort of 36 subjects from PSEN1 ADAD families: 22 mutation carriers, 10 symptomatic (SMC) and 12 asymptomatic (AMC), and 14 non-carriers (NC). Subjects underwent a 3T MRI. WM morphometric data and DTI metrics were analyzed. We found that PSEN1 MC showed significant negative correlation between fractional anisotropy (FA) and the relative age ratio in the genus and body of corpus callosum and corona radiate (p <  0.05 Family-wise error correction (FWE) at cluster level) and positive correlation with mean diffusivity (MD), axial diffusivity (AxD), and radial diffusivity (RD) in the splenium of corpus callosum. SMC presented WM volume loss, reduced FA and increased MD, AxD, and RD in the anterior and posterior corona radiate, corpus callosum (p <  0.05 FWE) compared with NC. No significant differences were observed between AMC and NC in WM volume or DTI measures. These findings suggest that the integrity of the WM deteriorates linearly in PSEN1 ADAD from the early phases of the disease; thus DTI metrics might be useful to monitor the disease progression. However, the lack of significant alterations at the preclinical stages suggests that these indexes might not be good candidates for early markers of the disease.

Cognitive reserve capacity may increase tolerance of neurodegenerative processes. However, its role regarding amyloid-β (Aβ42) deposition in cognitively normal subjects is not well understood. We aimed to investigate the association between areas showing Aβ42-related structural changes and cognitive reserve proxies in cognitively intact subjects showing normal or abnormal Aβ42 cerebrospinal fluid (CSF) concentrations. Thirty-three subjects (aged 55-85) underwent lumbar puncture and high resolution anatomical magnetic resonance imaging analyzed by voxel-based morphometry and cortical thickness procedures. Subjects with abnormal Aβ42 CSF levels showed significant left hippocampal atrophy and greater cortical thinning in parietal, temporal, and frontal regions (including the supramarginal and the anterior cingulate gyrus) compared to subjects with normal Aβ42 CSF levels. Using a multivariate general linear model, we investigated the relationship between these areas and cognitive reserve proxies. We found a significant relationship between decreased volume of the left hippocampus or decreased cortical thickness of the right supramarginal gyrus and higher cognitive reserve proxies only in the group with abnormal Aβ42 CSF levels. Thus, subjects with abnormal Aβ42 CSF levels (which may be at a higher risk of developing Alzheimer's disease) and with high scores on cognitive reserve proxies may be tolerating a more advanced neurodegenerative process in critical cortical and subcortical regions. The present results emphasize the relevance of evaluating cognitive reserve proxies, as well as the importance of using neuroimaging techniques for early diagnosis in individuals with higher reserve.

PSEN1 mutations are the most frequent cause of familial Alzheimer's disease and show nearly full penetrance. Here we studied alterations in brain function in a cohort of 19 PSEN1 mutation carriers: 8 symptomatic (SMC) and 11 asymptomatic (AMC). Asymptomatic carriers were, on average, 12 years younger than the predicted age of disease onset. Thirteen healthy subjects were used as a control group (CTR). Subjects underwent a 10-min resting-state functional magnetic resonance imaging (fMRI) scan and also performed a visual encoding task. The analysis of resting-state fMRI data revealed alterations in the default mode network, with increased frontal connectivity and reduced posterior connectivity in AMC and decreased frontal and increased posterior connectivity in SMC. During task-related fMRI, SMC showed reduced activity in regions of the left occipital and left prefrontal cortices, while both AMC and SMC showed increased activity in a region within the precuneus/posterior cingulate, all as compared to CTR. Our findings suggest that fMRI can detect evolving changes in brain mechanisms in PSEN1 mutation carriers and support the use of this technique as a biomarker in Alzheimer's disease, even before the appearance of clinical symptoms.

In this study functional magnetic resonance imaging (fMRI) is used to investigate the functional brain activation pattern in the preclinical stage of AD (pre-AD) subjects during a visual encoding memory task. Thirty subjects, eleven in the pre-AD stage, with decreased cerebrospinal fluid levels of Aβ42 (<500 pg/ml), and 19 controls with normal Aβ42 levels (CTR) were included. fMRI was acquired during a visual encoding task. Data were analyzed through an Independent Component Analysis (ICA) and region-of-interest-based univariate analysis of task-related BOLD signal change. From the ICA decomposition, we identified the main task-related component, which included the activation of visual associative areas and prefrontal executive regions, and the deactivation of the default-mode network. The activation was positively correlated with task performance in the CTR group (p < 0.0054). Within this pattern, subjects in the pre-AD stage had significantly greater activation of the precuneus and posterior cingulate cortex during encoding. Subjects in the pre-AD stage present distinct functional neural activity before the appearance of clinical symptomatology. These findings may represent that subtle changes in functional brain activity precede clinical and cognitive symptoms in the AD continuum. Present findings provide evidence suggesting that fMRI may be a suitable biomarker of preclinical AD.

Neuroimaging studies of familial Alzheimer's disease allow investigation of the disease process before clinical onset. We performed semi-automated MRI analysis to evaluate cortical thickness (CTh), grey matter (GM) volumes, and GM diffusivity indexes in PSEN1 mutation carriers (MC). We recruited 11 MC from 4 families with PSEN1 mutations (L286P, M139T, K239N) and 6 familial and 12 non-familial healthy controls. MC were classified as either asymptomatic (n=6) or symptomatic (n=5). Subjects underwent structural and diffusion-weighted 3-Tesla MRI scanning. CTh and GM volumes of subcortical structures and diffusivity indexes were calculated and group comparisons were performed. Structural images were reanalyzed with voxel-based morphometry methodology. Cerebrospinal fluid amyloid-β1-42 levels (Aβ) were measured. We found that symptomatic MC presented widespread cortical thinning, especially in precuneus and parietotemporal areas (p<0.01) and increased mean diffusivity (MD) in these areas compared to controls. Unexpectedly, asymptomatic MC, 9.9 years prior to the predicted age of disease onset, presented increased CTh in the precuneus and parietotemporal areas (p<0.01), increased caudate volumes (p<0.01), and decreased MD (p<0.05) in these areas compared to HC. In MC, CTh correlated with adjusted age. Aβ values were within normal limits in AMC. In conclusion, at early preclinical stages, CTh in the precuneus and parietotemporal regions and caudate volume increase in PSEN1 MC and decrease thereafter with disease progression. The different trends in MD in asymptomatic and symptomatic MC suggest that different microstructural changes underlie the contrasting morphometric findings. Reactive neuronal hypertrophy or/and inflammation may account for increased CTh and decreased MD in asymptomatic MC.

We conducted an integrated multi-modal magnetic resonance imaging (MRI) study based on functional MRI (fMRI) data during a complex but cognitively preserved visual task in 15 amnestic mild cognitive impairment (a-MCI) patients and 15 Healthy Elders (HE). Independent Component Analysis of fMRI data identified a functional network containing an Activation Task Related Pattern (ATRP), including regions of the dorsal and ventral visual stream, and a Deactivation Task Related Pattern network (DTRP), with high spatial correspondence with the default-mode network (DMN). Gray matter (GM) volumes of the underlying ATRP and DTRP cortical areas were measured, and probabilistic tractography (based on diffusion MRI) identified fiber pathways within each functional network. For the ATRP network, a-MCI patients exhibited increased fMRI responses in inferior-ventral visual areas, possibly reflecting compensatory activations for more compromised dorsal regions. However, no significant GM or white matter group differences were observed within the ATRP network. For the DTRP/DMN, a-MCI showed deactivation deficits and reduced GM volumes in the posterior cingulate/precuneus, excessive deactivations in the inferior parietal lobe, and less fiber tract integrity in the cingulate bundles. Task performance correlated with DTRP-functionality in the HE group. Besides allowing the identification of functional reorganizations in the cortical network directly processing the task-stimuli, these findings highlight the importance of conducting integrated multi-modal MRI studies in MCI based on spared cognitive domains in order to identify functional abnormalities in critical areas of the DMN and their precise anatomical substrates. These latter findings may reflect early neuroimaging biomarkers in dementia.