P3-067: MRI brain atrophy and CSF biomarkers predict decline to Alzheimer's disease in mild cognitive impairment

Abstract Introduction Although recent data implicates sleep and circadian disruption to neurodegeneration in Alzheimer’s Disease (AD), the association of objective circadian biomarkers and neurodegeneration remains understudied. We hypothesize that actigraphy-based circadian measures are associated with cerebrospinal fluid (CSF) biomarkers of neurodegeneration in those mild cognitive impairment due to AD (MCI-AD). Methods Eighteen patients with CSF biomarker-confirmed MCI-AD underwent actigraphy monitoring generating the following circadian measures: amplitude, F-ratio and mesor and morning collection of CSF biomarkers of neurodegeneration (Aβ42,t-tau,p-tau). Linear models were used to evaluate the association of circadian and CSF measures; logarithmic transformations were performed on neurodegenerative markers for greater normality. Analysis was performed using SAS software. A significance level of 0.05 was assumed for all tests. Results Eighteen MCI-AD patients who were 68± 6.2 years, 44% female, with median AHI=12 and underwent actigraphy monitoring for 8.2+/-3.2 days were included. There was no significant association of circadian measures and Aβ42 nor with mesor and neurodegeneration biomarkers. Amplitude was associated with both p-tau and t-tau, such that each 10 unit increase in amplitude resulted in a predicted increase in p-tau of 8% (95% CI:1%-15%, p=0.018) and an increase of 13% (3%-23%; p=0.01) in t-tau. F-ratio was positively associated with p-tau and t-tau; each 1000 unit increase in F-ratio resulted in a predicted 12% (4%-22%; p=0.007) increase in P-tau and 20%(6%-35%; p=0.005) increase in t-tau. Associations of these circadian measures and CSF levels of p-tau and t-tau remained statistically significant after adjustment for age and sex. Conclusion Among patients with symptomatic MCI stages of AD, objective measures of circadian rhythm disruption are associated with CSF-based biomarkers of neurodegeneration even after consideration of age and sex. Future investigation should clarify directionality of this association and potential utility of circadian-based interventions in the mitigation of AD progression. Support N/A

Download Full-text

Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment

NeuroImage ◽

10.1016/j.neuroimage.2007.07.008 ◽

2007 ◽

Vol 38 (1) ◽

pp. 13-24 ◽

Cited By ~ 128

Author(s):

Stefan J. Teipel ◽

Christine Born ◽

Michael Ewers ◽

Arun L.W. Bokde ◽

Maximilian F. Reiser ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Brain Atrophy

Download Full-text

Independent morphological variables correlate with Aging, Mild Cognitive Impairment, and Alzheimer's Disease

10.1101/2022.01.10.22268812 ◽

2022 ◽

Author(s):

Fernanda Hansen Pacheco de Moraes ◽

Felipe Sudo ◽

Marina Monteiro Carneiro ◽

Bruno R. P. de Melo ◽

Paulo Mattos ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cortical Thickness ◽

Healthy Aging ◽

Brain Morphology ◽

Elderly Subjects ◽

Csf Biomarkers ◽

Morphological Criteria

This manuscript presents a study with recruited volunteers that comprehends three sorts of events present in Alzheimer's Disease (AD) evolution (structural, biochemical, and cognitive) to propose an update in neurodegeneration biomarkers for AD. The novel variables, K, I, and S, suggested based on physics properties and empirical evidence, are defined by power-law relations between cortical thickness, exposed and total area, and natural descriptors of brain morphology. Our central hypothesis is that variable K, almost constant in healthy human subjects, is a better discriminator of a diseased brain than the current morphological biomarker, Cortical Thickness, due to its aggregated information. We extracted morphological features from 3T MRI T1w images of 123 elderly subjects: 77 Healthy Cognitive Unimpaired Controls (CTL), 33 Mild Cognitive Impairment (MCI) patients, and 13 Alzheimer's Disease (AD) patients. Moreover, Cerebrospinal Fluid (CSF) biomarkers and clinical data scores were correlated with K, intending to characterize health and disease in the cortex with morphological criteria and cognitive-behavioral profiles. K distinguishes Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Cognitive Unimpaired Controls globally and locally with reasonable accuracy (CTL-AD, 0.82; CTL-MCI, 0.58). Correlations were found between global and local K associated with clinical behavioral data (executive function and memory assessments) and CSF biomarkers (t-Tau, Aβ-40, and Aβ-42). The results suggest that the cortical folding component, K, is a premature discriminator of healthy aging, Mild Cognitive Impairment, and Alzheimer's Disease, with significant differences within diagnostics. Despite the non-concomitant events, we found correlations between brain structural degeneration (K), cognitive tasks, and biochemical markers.

Download Full-text

Functional signature of conversion in Mild Cognitive Impairment patients

10.1101/290783 ◽

2018 ◽

Author(s):

Stefano Delli Pizzi ◽

Miriam Punzi ◽

Stefano L Sensi ◽

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Brain Atrophy ◽

Cortical Atrophy ◽

Study Cohort ◽

Dramatic Decline ◽

Healthy Control ◽

Cortical Regions

AbstractThe entorhinal-hippocampal circuit is a strategic hub for memory but also the first site to be affected in the Alzheimer’s Disease (AD)-related pathology. We investigated MRI patterns of brain atrophy and functional connectivity in a study cohort obtained from the Alzheimer’s Disease Neuroimaging Initiative database including healthy control (HC), Mild Cognitive Impairment (MCI), and AD subjects. MCI individuals were clinically evaluated 24 months after the MRI scan, and the group further divided into a subset of subjects who either did (c-MCI) or did not (nc-MCI) convert to AD. Compared to HC subjects, AD patients exhibited a collapse of long-range connectivity from the hippocampus and entorhinal cortex, pronounced cortical/sub-cortical atrophy, and a dramatic decline in cognitive performances. c-MCI patients showed entorhinal and hippocampal hypo-connectivity, no signs of cortical thinning but evidence of right hippocampus atrophy. On the contrary, nc-MCI patients showed lack of brain atrophy, largely preserved cognitive functions, hippocampal and entorhinal hyper-connectivity with selected neocortical/sub-cortical regions mainly involved in memory processing and brain meta-stability. This hyper-connectivity can represent an early compensatory strategy to overcome the progression of cognitive impairment. This functional signature can also be employed for the diagnosis of c-MCI subjects.

Download Full-text

Usefulness of CSF Biomarkers in Predicting the Progression of Amnesic and Nonamnesic Mild Cognitive Impairment to Alzheimer’s Disease

Current Aging Science ◽

10.2174/1874609812666190112095430 ◽

2019 ◽

Vol 12 (1) ◽

pp. 35-42

Author(s):

Ricard L. Ortega ◽

Farida Dakterzada ◽

Alfonso Arias ◽

Ester Blasco ◽

Alba Naudí ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Csf Biomarkers ◽

Prodromal Phase ◽

Diagnosis And Prognosis ◽

Amnestic Mci ◽

Atypical Presentations ◽

T Tau

Objective: The aim of this study was to investigate the usefulness of Alzheimer’s disease Cerebrospinal Fluid (CSF) biomarkers in predicting the progression to dementia in patients with Mild Cognitive Impairment (MCI). Methods: One hundred and thirteen patients were consecutively recruited from April 2012 to April 2014. Measurement of CSF biomarkers (amyloid-β42 (Aβ42), total tau (t-tau) and phosphorylated tau (p-tau)) and a neuropsychological evaluation were performed for all patients. We categorized patients with MCI as A+A- and N+N- based on the presence/absence of amyloid pathology and neurodegeneration, respectively. Results: Of 72 patients with MCI, 26 (36%) progressed to dementia. These patients had lower CSF Aβ42 levels and higher p-tau and t-tau levels at baseline. The proportion that progressed to dementia was 14.3% (2/14), 36.8% (7/19), 66.7% (4/6) and 75% (12/16) in the A-N-, A+N-, A-N+ (SNAP), and A+N+ patients, respectively (p < 0.05). There were significant differences in the probability of progression from amnestic MCI (aMCI) to AD between the A+N+ and A-N- patients (OR = 8.1, 95% CI 1.5-42.3, p = 0.001) but not between SNAP (OR = 7.3, 95% CI 0.9-61, p = 0.02) or A+N- (OR = 2.1, 95% CI 0.4 to 10.4, p = 0.15) patients compared to the A-N- subgroup. None of the biomarker profiles of the subgroups predicted the time until the progression to AD. Conclusion: The use of CSF AD biomarkers in clinical practice improves the certainty of diagnosis and prognosis of patients, especially in patients in the prodromal phase or in patients with atypical presentations.

Download Full-text