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Alzheimer's disease (AD) is a brain network disorder where pathological proteins accumulate through networks and drive cognitive decline. Yet, the role of network connectivity in facilitating this accumulation remains unclear. Using in-vivo multimodal imaging, we show that the distribution of tau and reactive microglia in humans follows spatial patterns of connectivity variation, the so-called gradients of brain organization. Notably, less distinct connectivity patterns ("gradient contraction") are associated with cognitive decline in regions with greater tau, suggesting an interaction between reduced network differentiation and tau on cognition. Furthermore, by modeling tau in subject-specific gradient space, we demonstrate that tau accumulation in the frontoparietal and temporo-occipital cortices is associated with greater baseline tau within their functionally and structurally connected hubs, respectively. Our work unveils a role for both functional and structural brain organization in pathology accumulation in AD, and supports subject-specific gradient space as a promising tool to map disease progression. In Alzheimer's disease, the role of connectivity in facilitating pathology accumulation remains unclear. Using in-vivo neuroimaging, the authors show that tau and reactive microglia follow connectome gradients, underlying cognitive decline. [ABSTRACT FROM AUTHOR]

Purpose of Review: Brain cholinergic denervation is a major feature of Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB). We reviewed the topography assessed by a cholinergic molecular imaging study in these two major types of dementia. A small meta-analysis directly comparing vesicular acetylcholine transporter (VAChT) PET scans of AD vs. DLB patients is presented. Recent Findings: VAChT PET studies showed evidence of extensive cortical cholinergic denervation in both forms of dementia, while multiple subcortical structures were also in DLB. Novel analysis revealed evidence of metathalamic denervation in AD, and epithalamus, premotor/sensorimotor cortical, and striatal losses in DLB. Summary: Topographically distinct cortical and subcortical cholinergic lesions can distinguish AD and DLB, and new structures have been highlighted here. Differential vulnerability of specific cholinergic projections is likely associated with specific clinical features of these disorders. Improved understanding of the mechanisms and roles of cholinergic neurotransmission in regions with cholinergic deficits may lead to symptomatic therapies. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to determine the amyloid (Aβ) and tau biomarker levels associated with imminent Alzheimer’s disease (AD) - related metabolic decline in cognitively normal individuals.Methods: A threshold analysis was performed in 120 cognitively normal elderly individuals by modelling 2-year declines in brain glucose metabolism measured with [18F]fluorodeoxyglucose ([18F]FDG) as a function of [18F]florbetapir Aβ positron emission tomography (PET) and cerebrospinal fluid phosphorylated tau biomarker thresholds. Additionally, using a novel voxel-wise analytical framework, we determined the sample sizes needed to test an estimated 25% drugeffect with 80% of power on changes in FDG uptake over 2 years at every brain voxel.Results: The combination of [18F]florbetapir standardized uptake value ratios and phosphorylated-tau levels more than one standard deviation higher than their respective thresholds for biomarker abnormality was the best predictor of metabolic decline in individuals with preclinical AD. We also found that a clinical trial using these thresholds would require as few as 100 individuals to test a 25% drug effect on AD-related metabolic decline over 2 years.Conclusions: These results highlight the new concept that combined Aβ and tau thresholds can predict imminent neurodegeneration as an alternative framework with a high statistical power for testing the effect of disease-modifying therapies on [18F]FDG uptake decline over a typical 2-year clinical trial period in individuals with preclinical AD. [ABSTRACT FROM AUTHOR]

Studies of rodent models of Alzheimer's disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load. The use of PET for detection of Aβ in the brain in AD has limitations; studies also indicate that retinal changes, including Aβ deposition, occur in AD. Here the authors demonstrate the potential to use in vivo retinal hyperspectral imaging as a surrogate for brain accumulation of Aβ. [ABSTRACT FROM AUTHOR]