P4-075: Alzheimer's disease progress estimation based on mixed-effect biomarker modelling

2015 ◽  
Vol 11 (7S_Part_17) ◽  
pp. P798-P799
Author(s):  
Ricardo Guerrero ◽  
Alexander Schmidt-Richberg ◽  
Christian Ledig ◽  
Daniel Rueckert
Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  

AbstractWe conduct an imaging genetics study to explore how effective brain connectivity in the default mode network (DMN) may be related to genetics within the context of Alzheimer’s disease and mild cognitive impairment. We develop an analysis of longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) and genetic data obtained from a sample of 111 subjects with a total of 319 rs-fMRI scans from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. A Dynamic Causal Model (DCM) is fit to the rs-fMRI scans to estimate effective brain connectivity within the DMN and related to a set of single nucleotide polymorphisms (SNPs) contained in an empirical disease-constrained set which is obtained out-of-sample from 663 ADNI subjects having only genome-wide data. We relate longitudinal effective brain connectivity estimated using spectral DCM to SNPs using both linear mixed effect (LME) models as well as function-on-scalar regression (FSR). In both cases we implement a parametric bootstrap for testing SNP coefficients and make comparisons with p-values obtained from asymptotic null distributions. In both networks at an initial q-value threshold of 0.1 no effects are found. We report on exploratory patterns of associations with relatively high ranks that exhibit stability to the differing assumptions made by both FSR and LME.


CNS Drugs ◽  
2015 ◽  
Vol 29 (7) ◽  
pp. 519-528 ◽  
Author(s):  
Nicola Coley ◽  
Adeline Gallini ◽  
Sandrine Andrieu

2020 ◽  
Author(s):  
Sascha Gill ◽  
Meng Wang ◽  
Pauline Mouches ◽  
Deepthi Rajashekar ◽  
Tolulope Sajobi ◽  
...  

Abstract Background: Agitation and aggression are common in dementia and pre-dementia. The dementia risk syndrome mild behavioral impairment (MBI) includes these symptoms in the impulse dyscontrol domain. However, the neural circuitry associated with impulse dyscontrol in neurodegenerative disease is not well understood. The aim of this work is to investigate if regional micro- and macro-structural brain properties are associated with impulse dyscontrol symptoms in older adults with normal cognition, mild cognitive impairment, and Alzheimer’s disease. Methods: Clinical, neuropsychiatric, and T1-weighted and diffusion-tensor MRI (DTI) data from 80 individuals with and 123 individuals without impulse dyscontrol, were obtained from the Alzheimer’s Disease Neuroimaging Initiative. Linear mixed effect (LME) models were used to assess if impulse dyscontrol was related to regional DTI and volumetric parameters. Results: Impulse dyscontrol was present in 17% of participants with NC, 43% with MCI, and 66% with AD. Impulse dyscontrol was associated with: 1) lower fractional anisotropy, and greater mean, axial, and radial diffusivity in the fornix; 2) lesser fractional anisotropy, and greater radial diffusivity in the superior fronto-occipital fasciculus; 3) greater axial diffusivity in the cingulum; 4) grey matter atrophy, specifically, lower cortical thickness and greater surface area in the parahippocampal gyrus. Conclusion: Our findings provide evidence that well-established atrophy patterns of AD are prominent in the presence of impulse dyscontrol, even when disease status is controlled for, and possibly in advance of dementia. Our findings support the growing evidence base for impulse dyscontrol symptoms as an early manifestation of Alzheimer’s disease.


2018 ◽  
Vol 64 (s1) ◽  
pp. S289-S297 ◽  
Author(s):  
Steven J. Kiddle ◽  
Nicola Voyle ◽  
Richard J.B. Dobson

2020 ◽  
Author(s):  
Min Seok Baek ◽  
Hanna Cho ◽  
Hye Sun Lee ◽  
Jae Hoon Lee ◽  
Young Hoon Ryu ◽  
...  

Abstract Background: To assess effects of apolipoprotein E (ApoE) ε4 genotype on Aβ and tau burden and their longitudinal changes in Alzheimer’s disease (AD) spectrum.Methods: Among 272 individuals who underwent PET scans (18F-florbetaben for Aβ and 18F-flortaucipir for tau) and ApoE genotyping, 187 individuals completed 2-year follow-up PET scans. After correcting for partial-volume effect, we compared the standardized uptake value ratio (SUVR) for Aβ and tau burden between the ε4+ and ε4- groups. By using a linear mixed-effect model, we measured changes in SUVR in the ApoE ε4+ and ε4- groups.Results: The ε4+ group showed greater baseline Aβ burden in the diffuse cortical regions and greater tau burden in the lateral, and medial temporal, cingulate, and insula cortices. Tau accumulation rate was higher in the parietal, occipital, lateral, and medial temporal cortices in the ε4+ group. In Aβ+ individuals, baseline tau burden was greater in the medial temporal cortex, while Aβ burden was conversely greater in the ε4- group. Tau accumulation rate was higher in the ε4+ group in a small region in the lateral temporal cortex. The effect of ApoE ε4 on enhanced tau accumulation persisted even after adjusting for the global cortical Aβ burden.Conclusions: Progressive tau accumulation may be more prominent in ε4 carriers, particularly in the medial and lateral temporal cortices. ApoE ε4 allele has differential effects on Aβ burden depending on the existing amyloidosis and enhances vulnerability to progressive tau accumulation in the AD spectrum independent of Aβ.


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