Association of β-Amyloid and Basal Forebrain With Cortical Thickness and Cognition in Alzheimer and Lewy Body Disease Spectra

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000013277
Author(s):  
Han Soo Yoo ◽  
Seun Jeon ◽  
Enrica Cavedo ◽  
MinJin Ko ◽  
Mijin Yun ◽  
...  

Objective:Cholinergic degeneration and β-amyloid contribute to brain atrophy and cognitive dysfunction in Alzheimer’s disease (AD) and Lewy body disease (LBD), but their relationship has not been comparatively evaluated.Methods:In this cross-sectional study, we recruited 28 normal controls (NC), 55 patients with AD mild cognitive impairment (MCI), 34 patients with AD dementia, 28 patients with LBD MCI, and 51 patients with LBD dementia. The subjects underwent cognitive evaluation, brain magnetic resonance imaging to measure the basal forebrain (BF) volume and global cortical thickness (CTh), and 18F-Florbetaben (FBB) positron emission tomography to measure the standardized uptake value ratio (SUVR). Using general linear models and path analyses, the association of FBB-SUVR and BF volume with the CTh and/or cognitive dysfunction were evaluated in AD spectrum (AD and NC) and LBD spectrum (LBD and NC), respectively. Covariates included age, sex, education, deep and periventricular white matter hyperintensities, intracranial volume, hypertension, diabetes mellitus, and hyperlipidemia.Results:BF volume mediated the association between FBB-SUVR and CTh both in AD and LBD spectra, while FBB-SUVR was associated with CTh independently of BF volume only in LBD spectrum. Significant correlation between voxel-wise FBB-SUVR and CTh was observed only in LBD group. FBB-SUVR was independently associated with widespread cognitive dysfunction both in AD and LBD spectra, especially in the memory domain [standardized beta (B) for AD spectrum = -0.60, B for LBD spectrum = -0.33]. In AD spectrum, BF volume was associated with memory dysfunction (B = 0.18), and CTh was associated with language (B = 0.21) and executive (B = 0.23) dysfunction. In LBD spectrum, however, BF volume and CTh were independently associated with widespread cognitive dysfunction.Conclusions:There is a common β-amyloid-related degenerative mechanism with or without the mediation of BF in AD and LBD spectra, while the association of BF atrophy with cognitive dysfunction is more profound and there is localized β-amyloid-cortical atrophy interaction in LBD spectrum.

2021 ◽  
pp. 1-14
Author(s):  
Helena M. Blumen ◽  
Emily Schwartz ◽  
Gilles Allali ◽  
Olivier Beauchet ◽  
Michele Callisaya ◽  
...  

Background: The motoric cognitive risk (MCR) syndrome is a pre-clinical stage of dementia characterized by slow gait and cognitive complaint. Yet, the brain substrates of MCR are not well established. Objective: To examine cortical thickness, volume, and surface area associated with MCR in the MCR-Neuroimaging Consortium, which harmonizes image processing/analysis of multiple cohorts. Methods: Two-hundred MRIs (M age 72.62 years; 47.74%female; 33.17%MCR) from four different cohorts (50 each) were first processed with FreeSurfer 6.0, and then analyzed using multivariate and univariate general linear models with 1,000 bootstrapped samples (n-1; with resampling). All models adjusted for age, sex, education, white matter lesions, total intracranial volume, and study site. Results: Overall, cortical thickness was lower in individuals with MCR than in those without MCR. There was a trend in the same direction for cortical volume (p = 0.051). Regional cortical thickness was also lower among individuals with MCR than individuals without MCR in prefrontal, insular, temporal, and parietal regions. Conclusion: Cortical atrophy in MCR is pervasive, and include regions previously associated with human locomotion, but also social, cognitive, affective, and motor functions. Cortical atrophy in MCR is easier to detect in cortical thickness than volume and surface area because thickness is more affected by healthy and pathological aging.


Neurology ◽  
2020 ◽  
Vol 95 (12) ◽  
pp. e1672-e1685 ◽  
Author(s):  
Colin Groot ◽  
B.T. Thomas Yeo ◽  
Jacob W. Vogel ◽  
Xiuming Zhang ◽  
Nanbo Sun ◽  
...  

ObjectiveTo determine whether atrophy relates to phenotypical variants of posterior cortical atrophy (PCA) recently proposed in clinical criteria (i.e., dorsal, ventral, dominant-parietal, and caudal) we assessed associations between latent atrophy factors and cognition.MethodsWe employed a data-driven Bayesian modeling framework based on latent Dirichlet allocation to identify latent atrophy factors in a multicenter cohort of 119 individuals with PCA (age 64 ± 7 years, 38% male, Mini-Mental State Examination 21 ± 5, 71% β-amyloid positive, 29% β-amyloid status unknown). The model uses standardized gray matter density images as input (adjusted for age, sex, intracranial volume, MRI scanner field strength, and whole-brain gray matter volume) and provides voxelwise probabilistic maps for a predetermined number of atrophy factors, allowing every individual to express each factor to a degree without a priori classification. Individual factor expressions were correlated to 4 PCA-specific cognitive domains (object perception, space perception, nonvisual/parietal functions, and primary visual processing) using general linear models.ResultsThe model revealed 4 distinct yet partially overlapping atrophy factors: right-dorsal, right-ventral, left-ventral, and limbic. We found that object perception and primary visual processing were associated with atrophy that predominantly reflects the right-ventral factor. Furthermore, space perception was associated with atrophy that predominantly represents the right-dorsal and right-ventral factors. However, individual participant profiles revealed that the large majority expressed multiple atrophy factors and had mixed clinical profiles with impairments across multiple domains, rather than displaying a discrete clinical–radiologic phenotype.ConclusionOur results indicate that specific brain behavior networks are vulnerable in PCA, but most individuals display a constellation of affected brain regions and symptoms, indicating that classification into 4 mutually exclusive variants is unlikely to be clinically useful.


2020 ◽  
Vol 45 (4) ◽  
pp. 261-266
Author(s):  
Cansu Özden ◽  
Lars Frings ◽  
Ivayla Apostolova ◽  
Catharina Lange ◽  
Susanne Klutmann ◽  
...  

2012 ◽  
Vol 8 (4S_Part_5) ◽  
pp. P171-P171
Author(s):  
Ryo Ohtomo ◽  
Kurumi Fujii ◽  
Shoji Tsuji ◽  
Atsushi Iwata

2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Jin Ho Jung ◽  
Seong Ho Jeong ◽  
Seun Jeon ◽  
Kyoungwon Baik ◽  
Yang Hyun Lee ◽  
...  

2017 ◽  
Vol 13 (7S_Part_8) ◽  
pp. P408-P409
Author(s):  
Masahiro Mishina ◽  
Kenji Ishii ◽  
Kenji Ishibashi ◽  
Muneyuki Sakata ◽  
Jun Toyohara ◽  
...  

2012 ◽  
Vol 28 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Hitoshi Shimada ◽  
Hitoshi Shinotoh ◽  
Shigeki Hirano ◽  
Michie Miyoshi ◽  
Koichi Sato ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Dakota A. Egglefield ◽  
Sophie Schiff ◽  
Jeffrey N. Motter ◽  
Alice Grinberg ◽  
Bret R. Rutherford ◽  
...  

Background: Reduced cortical thickness and hippocampal volume are prevalent markers of late life depression as well as mild cognitive impairment (MCI) but are conspicuously absent in the vascular depression (VD) literature. The present study aimed to determine differences in cortical thickness and hippocampal volume between VD and non-VD patients.Methods: Participants were enrolled in an 8-week open treatment antidepressant trial. Forty-one depressed individuals aged 50 and older underwent brain magnetic resonance imaging at baseline and were classified as VD or non-VD. Cortical thickness values for the left and right entorhinal, parahippocampal, and precuneal cortices, as well as left and right hippocampal volume, were linearly regressed on VD status to determine mean differences between VD and non-VD. Covariates included site, age, sex, and mean thickness or intracranial volume.Results: No statistical differences were found between VD and non-VD patients in cortical thickness of the bilateral precuneal, entorhinal, or parahippocampal cortices, or hippocampal volume (p > 0.001).Conclusions: The absence of statistical differences in gray matter between VD and non-VD patients raises several diagnostic, etiological, and developmental possibilities, namely that VD may not be connected with other late-life psychiatric illnesses such as MCI or dementia and that vascular disease may not be a common etiological risk factor for depression and dementia. Larger datasets, prospective longitudinal studies, and cognitively intact controls are needed to further address these types of questions.


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