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Landau, S.

Publications and source records attributed to Landau, S..

5 recordsLinked to original sources

Characterisation of Posterior Predominant Amyloid PET Binding Across Multiple Cohorts

The standard approach to quantify amyloid (A{beta}) PET averages uptake within a single cortical mask that assumes no clinically relevant spatial heterogeneity in uptake patterns. Here, in a sample of 12,379 clinically impaired participants taken from four phenotypically diverse cohorts we use data-driven approaches to discover heterogeneous patterns of A{beta}-PET binding, uncovering a reproducible and clinically relevant pattern of posterior predominant A{beta}-PET binding. In particular, A{beta}-PET positive participants who have posterior predominant binding are less likely to be APOE-{varepsilon}4 carriers, more severely impaired, have thinner cortex in posterior regions, and greater posterior tau PET burden. Furthermore, in a subsample of participants with neuropathological assessment, participants with posterior predominant A{beta} binding have a higher likelihood of having cerebral amyloid angiopathy at autopsy. These findings suggest that A{beta}-PET accumulates along two orthogonal axes with biological and clinical relevance, indicating that the standard approach to assess A{beta}-PET is insufficient to capture meaningful signal from A{beta}-PET imaging. This work has implications for the diagnosis and treatment of Alzheimers disease and extends our understanding of the mechanisms governing variable A{beta}-PET distribution and its downstream effects.

neuroscience↗

Quantitative Image Analysis of Tissue Properties: A MATLAB Tool for Measuring Morphology and Co-localization in 2D Images

In recent years, the structural analysis of tissue elements has gained significant importance in biomedical research. Advancements in imaging technologies have created a pressing need to quantify tissue and cell properties accurately. This paper introduces a MATLAB-based analytical tool designed to measure a spectrum of properties from 2D images of tissues and cells. Our software efficiently computes parameters such as eccentricity, orientation, density, co-localization, size, and perimeter. The algorithms precision in evaluating these characteristics has broad implications for enhancing the understanding of various biological processes and diseases. The codes flexibility allows for application across different tissue types and experimental conditions, providing researchers with a robust method for quantitative analysis. This advancement in computational image analysis represents a pivotal step towards more detailed and objective assessment in tissue engineering and cellular biology.

bioengineering↗

Global brain activity and its coupling with cerebrospinal fluid flow is related to tau pathology

AO_SCPLOWBSTRACTC_SCPLOWAmyloid-{beta} (A{beta}) and tau deposition constitute Alzheimers disease (AD) neuropathology. Cortical tau deposits first in the entorhinal cortex and hippocampus and then propagates to neocortex in an A{beta}-dependent manner. Tau also tends to accumulate earlier in higher-order association cortex than in lower-order primary sensory-motor cortex. While previous research has examined the production and spread of tau, little attention has been paid to its clearance. Low-frequency (<0.1 Hz) global brain activity during the resting state is coupled with cerebrospinal fluid (CSF) flow and potentially reflects glymphatic clearance. Here we report that tau deposition in subjects with evaluated A{beta}, accompanied by cortical thinning and cognitive decline, is strongly associated with decreased coupling between CSF flow and global brain activity. Substantial modulation of global brain activity is also manifested as propagating waves of brain activation between higher- and lower-order regions, resembling tau spreading. Together, the findings suggest an important role of resting-state global brain activity in AD tau pathology. One Sentence SummaryResting-state global brain activity affects tau deposition through the potential involvement of a glymphatic clearance function.

neuroscience↗

Alzheimer's pathology is associated with dedifferentiation of functional memory networks in aging

In presymptomatic Alzheimers disease (AD), beta-amyloid plaques (A{beta}) and tau tangles accumulate in distinct spatiotemporal patterns within the brain, tracking closely with episodic memory decline. Here, we tested whether age-related changes in the segregation of the brains functional episodic memory networks - anterior-temporal (AT) and posterior-medial (PM) networks - are associated with the accumulation of A{beta}, tau and memory decline using fMRI and PET. We found that AT and PM networks were less segregated in older than younger adults and this reduced specialization was associated with more tau and A{beta} in the same regions. The effect of network dedifferentiation on memory depended on the amount of A{beta} and tau, with low segregation and pathology associated with better performance at baseline and low segregation and high pathology related to worse performance over time. This pattern suggests a compensation phase followed by a degenerative phase in the early, preclinical phase of AD.

neuroscience↗

Biomarker Localization, Analysis, Visualization, Extraction, and Registration (BLAzER) Workflow for Research and Clinical Brain PET Applications

ObjectiveThere is a need for tools enabling efficient evaluation of amyloid- and tau-PET images suited for both clinical and research settings. The purpose of this study was to assess and validate a semi-automated imaging workflow, called Biomarker Localization, Analysis, Visualization, Extraction, and Registration (BLAzER). We tested BLAzER using two different segmentation platforms, FreeSurfer (FS) and Neuroreader (NR), for regional brain PET quantification in images from participants in the Alzheimers Disease Neuroimaging Initiative (ADNI) dataset.\n\nMethods127 amyloid-PET and 55 tau-PET studies along with corresponding volumetric MRI were obtained from ADNI. The BLAzER workflow utilizes segmentation of MR images by FS or NR, then visualizes and quantifies regional brain PET data using FDA-cleared software (MIM), enabling quality control to ensure optimal registration and detect segmentation errors.\n\nResultsBLAzER analysis required only [~]5 min plus segmentation time. BLAzER using FS segmentation showed strong agreement with ADNI for global amyloid-PET standardized uptake value ratios (SUVRs) (r = 0.9922, p < 0.001) and regional tau-PET SUVRs across all Braak staging regions (r > 0.97, p < 0.001) with high inter-operator reproducibility for both (ICC > 0.97) and nearly identical dichotomization as amyloid-positive or -negative (2 discrepant cases out of 127). Comparing FS vs. NR segmentation with BLAzER, the global SUVRs were strongly correlated for global amyloid-PET (r = 0.9841, p < 0.001), but were systematically higher (4% on average) with NR, likely due to more inclusion of white matter, which has high florbetapir binding.\n\nConclusionsBLAzER provides an efficient workflow for regional brain PET quantification. FDA-cleared components and the ability to visualize registration reduce barriers between research and clinical applications.

neuroscience↗