scholarly journals A retinal deep phenotyping TM platform to predict the cerebral amyloid PET status in older adults

2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Jean‐Paul Soucy ◽  
Claudia Chevrefils ◽  
Sam Osseiran ◽  
Jean‐Philippe Sylvestre ◽  
Frédéric Lesage ◽  
...  
Keyword(s):  
Older Adults ◽  
Amyloid Pet ◽  
Cerebral Amyloid ◽  
Deep Phenotyping

scholarly journals Evaluation of a retinal deep phenotyping platform to detect the likely cerebral amyloid PET status in humans

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Jean‐Paul Soucy ◽  
Claudia Chevrefils ◽  
Sam Osseiran ◽  
Jean‐Philippe Sylvestre ◽  
Sylvain Beaulieu ◽  
...  
Keyword(s):  
Amyloid Pet ◽  
Cerebral Amyloid ◽  
Deep Phenotyping

scholarly journals Cognitive function and amyloid marker in frail older adults: The COGFRAIL Cohort Study

2020 ◽  
pp. 1-8
Author(s):  
S. Sourdet ◽  
G. Soriano ◽  
J. Delrieu ◽  
Z. Steinmeyer ◽  
S. Guyonnet ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Cognitive Impairment ◽  
Amyloid Β ◽  
Amyloid Pet ◽  
Physical Frailty ◽  
Cognitive Frailty ◽  
Frail Older Adults ◽  
Amyloid Pathology ◽  
Cerebral Amyloid

Background: Frailty and cognitive impairment are common manifestations of the ageing process and are closely related. But the mechanisms linking aging, physical frailty, and cognitive disorders, are complex and remain unclear. Objectives: We aim to explore the role of cerebral amyloid pathology, but also a range of nutritional, physical, biological or brain-aging marker in the development of cognitive frailty. Method: COGFRAIL study is a monocentric prospective study of frail older patients with an objective cognitive impairment (Clinical Dementia Rating Scale global score at 0.5 or 1). Three-hundred-and-twenty-one patients are followed up every 6 months, for 2 years. Clinical assessment at baseline and during follow-up included frailty, physical, mood, sensory, nutritional, and cognitive assessment (with a set of neuropsychological tests). Cerebral amyloid pathology is measured by amyloid Positron Emission Tomography (PET) or amyloid-β-1-42 level in cerebrospinal fluid. Brain magnetic resonance imaging, measurement of body composition using Dual X Ray Absorptiometry and blood sampling are performed. The main outcome of the study is to assess the prevalence of positive cerebral amyloid status according to amyloid PET or amyloid-β-1-42 level CSF. Secondary outcomes included biological, nutritional, MRI imaging, cognitive, clinical, physical and body composition markers to better understand the mechanisms of cognitive frailty. Perspective: COGFRAIL study will give the opportunity to better understand the link between Gerosciences, frailty, cognitive impairment, and Alzheimer’s disease, and to better characterize the physical and cognitive trajectories of frail older adults according to their amyloid status. Understanding the relationship between physical frailty and cognitive impairment is a prerequisite for the development of new interventions that could prevent and treat both conditions.

Amyloid-PET in cerebral amyloid angiopathy

Neurology ◽  
2017 ◽  
Vol 89 (14) ◽  
pp. 1437-1438 ◽  
Author(s):  
Nicolas Raposo ◽  
Joshua A. Sonnen
Keyword(s):  
Cerebral Amyloid Angiopathy ◽  
Amyloid Angiopathy ◽  
Amyloid Pet ◽  
Cerebral Amyloid

Non-Linear Association between Cerebral Amyloid Deposition and White Matter Microstructure in Cognitively Healthy Older Adults

2015 ◽  
Vol 47 (1) ◽  
pp. 117-127 ◽  
Author(s):  
Dominik Wolf ◽  
Florian U. Fischer ◽  
Armin Scheurich ◽  
Andreas Fellgiebel ◽  
Keyword(s):  
Older Adults ◽  
White Matter ◽  
Amyloid Deposition ◽  
Healthy Older Adults ◽  
Linear Association ◽  
White Matter Microstructure ◽  
Non Linear ◽  
Cerebral Amyloid

scholarly journals Magnetic Resonance Hippocampal Subfield Volumetric Analysis for Differentiating among Healthy Older Adults and Older Adults with Mild Cognitive Impairment or Major Depressive Disorder

2021 ◽  
Vol 73 (12) ◽  
pp. 786-792
Author(s):  
Doonyaporn Wongsawaeng ◽  
Orasa Chawalparit ◽  
Siriwan Piyapittayanan ◽  
Tanyaluck Thientunyakit ◽  
Weerasak Muangpaisan ◽  
...  
Keyword(s):  
Older Adults ◽  
Major Depressive Disorder ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Depressive Disorder ◽  
Subgroup Analysis ◽  
Amyloid Pet ◽  
Major Depressive ◽  
Healthy Older Adults ◽  
Valuable Adjunct

Objective: Depression among older adults is frequently an early symptom of cognitive decline, and is believed to be a risk factor for Alzheimer’s disease (AD). Hippocampal subfield volume loss is found in both mild cognitive impairment (MCI) and major depressive disorder (MDD). We aimed to investigate the potential of MR hippocampal subfield volumetry for discriminating among healthy older adults (HOA) and older adults with MCI or MDD. Materials and Methods: Seventy age-matched subjects (29 non-depressed MCI, 12 MDD, and 29 HOA) underwent 3-Tesla MR imaging (MRI) with high-resolution 3D-T1W-TFE whole brain. Hippocampal subfield volumetric measurements were performed using FreeSurfer software to distinguish among MCI, MDD, and HOA. Subgroup analysis with amyloid PET result was also performed.Results: Significantly smaller bilateral hippocampal tail volume was observed in MCI compared to HOA (p=0.004 and p=0.04 on the left and right side, respectively). The same comparative finding was observed at left HATA (hippocampus-amygdala-transition-area) of MCI (p=0.046). Other regions showed non-significantly smaller size in MCI than in HOA [left molecular layer HP (p=0.06), left whole hippocampus (p=0.06), and left CA1 (p=0.07)]. There was a non-significant trend toward smaller size in almost all 13 subfield hippocampal regions of MCI compared to MDD, even in subgroup analysis with amyloid PET result.Conclusion: MR hippocampal subfield volumetry may have value in routine clinical practice for screening individuals with MCI, and may be a valuable adjunct to amyloid PET study for very early-stage diagnosis of AD.

scholarly journals Cerebral amyloid PET imaging in Alzheimer’s disease

2013 ◽  
Vol 126 (5) ◽  
pp. 643-657 ◽  
Author(s):  
Clifford R. Jack ◽  
Jorge R. Barrio ◽  
Vladimir Kepe
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Pet Imaging ◽  
Amyloid Pet ◽  
Cerebral Amyloid ◽  
Amyloid Pet Imaging

IC-P-190: AN AMYLOID LIGAND-FREE OPTICAL RETINAL IMAGING METHOD TO PREDICT CEREBRAL AMYLOID PET STATUS

2006 ◽  
Vol 14 (7S_Part_2) ◽  
pp. P158-P158
Author(s):  
Jean-Paul Soucy ◽  
Claudia Chevrefils ◽  
Jean-Philippe Sylvestre ◽  
Jean Daniel Arbour ◽  
Marc-André Rhéaume ◽  
...  
Keyword(s):  
Retinal Imaging ◽  
Imaging Method ◽  
Amyloid Pet ◽  
Ligand Free ◽  
Cerebral Amyloid

Cerebrospinal Fluid Anti-Amyloid-β Autoantibodies and Amyloid PET in Cerebral Amyloid Angiopathy-Related Inflammation

2015 ◽  
Vol 50 (1) ◽  
pp. 1-7 ◽  
Author(s):  
María Carmona-Iragui ◽  
Ana Fernández-Arcos ◽  
Daniel Alcolea ◽  
Fabrizio Piazza ◽  
Estrella Morenas-Rodriguez ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Cerebral Amyloid Angiopathy ◽  
Amyloid Β ◽  
Amyloid Angiopathy ◽  
Amyloid Pet ◽  
Cerebral Amyloid
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