Association of the apolipoprotein E genotype with memory performance and executive functioning in cognitively intact elderly.

2015 ◽  
Vol 29 (3) ◽  
pp. 382-387 ◽  
Author(s):  
Tobias Luck ◽  
Francisca S. Then ◽  
Melanie Luppa ◽  
Matthias L. Schroeter ◽  
Katrin Arélin ◽  
...  
Keyword(s):  
Executive Functioning ◽  
Apolipoprotein E ◽  
Memory Performance ◽  
Cognitively Intact ◽  
With Memory ◽  
Apolipoprotein E Genotype

scholarly journals Aberrant functional connectivity in Papez circuit correlates with memory performance in cognitively intact middle-aged APOE4 carriers

Cortex ◽  
2014 ◽  
Vol 57 ◽  
pp. 167-176 ◽  
Author(s):  
Wenjun Li ◽  
Piero G. Antuono ◽  
Chunming Xie ◽  
Gang Chen ◽  
Jennifer L. Jones ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Memory Performance ◽  
Middle Aged ◽  
Papez Circuit ◽  
Cognitively Intact ◽  
With Memory

P3-323: THE EFFECT OF APOLIPOPROTEIN E GENOTYPE ON IN-HOME MEASURED SLEEP TIME IN COGNITIVELY INTACT OLDER ADULTS

2006 ◽  
Vol 14 (7S_Part_23) ◽  
pp. P1204-P1205
Author(s):  
Christina L. Reynolds ◽  
Nora Mattek ◽  
Zachary Beattie ◽  
Jeffrey A. Kaye
Keyword(s):  
Older Adults ◽  
Apolipoprotein E ◽  
Sleep Time ◽  
Cognitively Intact ◽  
Apolipoprotein E Genotype

No association between subjective memory complaints and apolipoprotein E genotype in cognitively intact elderly

2004 ◽  
Vol 19 (12) ◽  
pp. 1131-1139 ◽  
Author(s):  
Dylan G. Harwood ◽  
Warren W. Barker ◽  
Raymond L. Ownby ◽  
Michael Mullan ◽  
Ranjan Duara
Keyword(s):  
Apolipoprotein E ◽  
Subjective Memory Complaints ◽  
Subjective Memory ◽  
Memory Complaints ◽  
Cognitively Intact ◽  
Apolipoprotein E Genotype

P1-376: Effects of the Apolipoprotein E genotype on memory performance and brain morphology in young healthy adults

2011 ◽  
Vol 7 ◽  
pp. S233-S233
Author(s):  
Harald Hampel ◽  
Julia Miller ◽  
Monika Scheibe ◽  
Fabian Fusser ◽  
Silke Matura ◽  
...  
Keyword(s):  
Apolipoprotein E ◽  
Memory Performance ◽  
Healthy Adults ◽  
Brain Morphology ◽  
Apolipoprotein E Genotype

scholarly journals Cerebrospinal fluid biomarkers and apolipoprotein E genotype in cerebral amyloid angiopathy. A narrative review

2021 ◽  
Vol 2 ◽  
pp. 100010
Author(s):  
Aikaterini Theodorou ◽  
Ioanna Tsantzali ◽  
Elisabeth Kapaki ◽  
Vasilios C. Constantinides ◽  
Konstantinos Voumvourakis ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Apolipoprotein E ◽  
Cerebral Amyloid Angiopathy ◽  
Narrative Review ◽  
Amyloid Angiopathy ◽  
Cerebrospinal Fluid Biomarkers ◽  
Cerebral Amyloid ◽  
Apolipoprotein E Genotype

scholarly journals Early stages of tau pathology and its associations with functional connectivity, atrophy and memory

Brain ◽  
2021 ◽  
Author(s):  
David Berron ◽  
Jacob W Vogel ◽  
Philip S Insel ◽  
Joana B Pereira ◽  
Long Xie ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Entorhinal Cortex ◽  
Temporal Lobe ◽  
Medial Temporal Lobe ◽  
Memory Impairment ◽  
Memory Performance ◽  
Hippocampal Atrophy ◽  
Tau Pathology ◽  
Β Amyloid ◽  
With Memory

Abstract In Alzheimer’s disease, postmortem studies have shown that the first cortical site where neurofibrillary tangles appear is the transentorhinal region, a subregion within the medial temporal lobe that largely overlaps with area 35, and the entorhinal cortex. Here we used tau-PET imaging to investigate the sequence of tau pathology progression within the human medial temporal lobe and across regions in the posterior-medial system. Our objective was to study how medial temporal tau is related to functional connectivity, regional atrophy, and memory performance. We included 215 β-amyloid negative cognitively unimpaired, 81 β-amyloid positive cognitively unimpaired and 87 β-amyloid positive individuals with mild cognitive impairment, who each underwent [18]F-RO948 tau and [18]F-flutemetamol amyloid PET imaging, structural T1-MRI and memory assessments as part of the Swedish BioFINDER-2 study. First, event-based modelling revealed that the entorhinal cortex and area 35 show the earliest signs of tau accumulation followed by the anterior and posterior hippocampus, area 36 and the parahippocampal cortex. In later stages, tau accumulation became abnormal in neocortical temporal and finally parietal brain regions. Second, in cognitively unimpaired individuals, increased tau load was related to local atrophy in the entorhinal cortex, area 35 and the anterior hippocampus and tau load in several anterior medial temporal lobe subregions was associated with distant atrophy of the posterior hippocampus. Tau load, but not atrophy, in these regions was associated with lower memory performance. Further, tau-related reductions in functional connectivity in critical networks between the medial temporal lobe and regions in the posterior-medial system were associated with this early memory impairment. Finally, in patients with mild cognitive impairment, the association of tau load in the hippocampus with memory performance was partially mediated by posterior hippocampal atrophy. In summary, our findings highlight the progression of tau pathology across medial temporal lobe subregions and its disease-stage specific association with memory performance. While tau pathology might affect memory performance in cognitively unimpaired individuals via reduced functional connectivity in critical medial temporal lobe-cortical networks, memory impairment in mild cognitively impaired patients is associated with posterior hippocampal atrophy.

Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment

2021 ◽  
pp. 1-15
Author(s):  
Sung Hoon Kang ◽  
Bo Kyoung Cheon ◽  
Ji-Sun Kim ◽  
Hyemin Jang ◽  
Hee Jin Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Apolipoprotein E ◽  
Cross Validation ◽  
Good Accuracy ◽  
External Validation ◽  
Amnestic Mild Cognitive Impairment ◽  
Temporal Region ◽  
Apolipoprotein E Genotype

Background: Amyloid (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer’s disease. However, Aβ evaluation through amyloid positron emission tomography (PET) is limited due to high cost and safety issues. Objective: We therefore aimed to develop and validate prediction models of Aβ positivity for aMCI using optimal interpretable machine learning (ML) approaches utilizing multimodal markers. Methods: We recruited 529 aMCI patients from multiple centers who underwent Aβ PET. We trained ML algorithms using a training cohort (324 aMCI from Samsung medical center) with two-phase modelling: model 1 included age, gender, education, diabetes, hypertension, apolipoprotein E genotype, and neuropsychological test scores; model 2 included the same variables as model 1 with additional MRI features. We used four-fold cross-validation during the modelling and evaluated the models on an external validation cohort (187 aMCI from the other centers). Results: Model 1 showed good accuracy (area under the receiver operating characteristic curve [AUROC] 0.837) in cross-validation, and fair accuracy (AUROC 0.765) in external validation. Model 2 led to improvement in the prediction performance with good accuracy (AUROC 0.892) in cross validation compared to model 1. Apolipoprotein E genotype, delayed recall task scores, and interaction between cortical thickness in the temporal region and hippocampal volume were the most important predictors of Aβ positivity. Conclusion: Our results suggest that ML models are effective in predicting Aβ positivity at the individual level and could help the biomarker-guided diagnosis of prodromal AD.

Symptom Factors and Neuropsychological Performance in Collegiate Athletes with Chronic Concussion Symptoms

2020 ◽  
Author(s):  
Erin Guty ◽  
Kaitlin Riegler ◽  
Jessica Meyer ◽  
Alexa E Walter ◽  
Semyon M Slobounov ◽  
...  
Keyword(s):  
Executive Functioning ◽  
Student Athletes ◽  
Memory Performance ◽  
Collegiate Athletes ◽  
Cognitive Outcomes ◽  
Depression Symptoms ◽  
Memory Functioning ◽  
Postconcussion Symptoms ◽  
Symptom Predictors ◽  
Time Since Injury

Abstract Objective The present study explored the relationship between specific types of postconcussion symptoms and cognitive outcomes in student–athletes with chronic concussion symptoms. Method Forty student–athletes with chronic concussion symptoms were given a battery of neuropsychological tests and rated themselves on a variety of postconcussion symptoms, which included the following factors derived from prior work: Physical, Sleep, Cognitive, Affective, and Headache. Cognitive outcomes included performance on composites for the memory and attention/executive functioning speed tests, respectively. The following covariates were also explored: Sex, depression symptoms, number of previous concussions, and time since injury. Results Headache was the only individual symptom factor that significantly (p < .05) predicted worse attention/executive functioning performance. None of the symptom factors were significantly related to memory performance over and above the variable of time since injury, such that longer time since injury was related to worse memory performance. Conclusion Comparable to work examining symptom predictors of cognitive outcomes in acutely concussed samples, headache predicted worse attention/executive functioning performance. Additionally, we found that the longer athletes had been symptomatic since injury, the “worse” their memory functioning. Understanding how headache and the length of time an individual is symptomatic are related to cognitive outcomes can help inform treatment and recommendations for athletes with prolonged symptom recovery.

scholarly journals Interaction between apolipoprotein E genotype and hypertension on cognitive function in older women in the Nurses’ Health Study

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0224975 ◽  
Author(s):  
Iris Y. Kim ◽  
Francine Grodstein ◽  
Peter Kraft ◽  
Gary C. Curhan ◽  
Katherine C. Hughes ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Apolipoprotein E ◽  
Older Women ◽  
Health Study ◽  
Apolipoprotein E Genotype
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