A 10‐item smell identification scale related to risk for Alzheimer's disease

Tabert, Matthias H.; Liu, Xinhua; Doty, Richard L.; Serby, Michael; Zamora, Diana; Pelton, Gregory H.; Marder, Karen; Albers, Mark W.; Stern, Yaakov; Devanand, Davangere P.

doi:10.1002/ana.20533

Cited by 228 publications

(184 citation statements)

References 21 publications

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“…As noted, AD is associated with olfactory dysfunction (Nordin & Murphy, 1998;Nordin et al, 1997). In addition, olfactory impairments have been observed also in MCI patients that received an AD diagnosis within two years , Tabert et al, 2005. Given that the ApoE gene is related to AD as well (Bertram, 2004), it could be argued that the obtained effect of ApoE on odor identification in the elderly is driven by an impending development AD.…”

Section: Apoe and Odor Identificationmentioning

confidence: 98%

Olfactory Function: The Influence of Demographic, Cognitive, and Genetic factors

Hedner¹

2013

PsycEXTRA Dataset

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Olfactory function is affected by demographic, cognitive, and genetic factors. In the present thesis, three empirical studies investigated individual differences in olfactory ability. Study I explored demographic and cognitive correlates in common olfactory tasks; odor detection, odor discrimination, and odor identification. The results indicated that old age influenced performance negatively in all tasks, and that semantic memory proficiency and executive functioning were related to odor discrimination and odor identification performance. No cognitive influence was observed for measurements of olfactory threshold. Using population-based data, Study II investigated a potential influence of the ApoE gene on olfactory identification after controlling for health status, semantic memory, and preclinical and clinical dementia. The main finding was that the ApoE-ɛ4 allele interacted with age, such that older ɛ4-carriers had an impaired odor identification performance relative to older non-carriers. Importantly, the negative ApoE-ɛ4 effect on olfactory proficiency was independent of clinical dementia conversion within five years. Study III investigated the effects of the BDNF val66met polymorphism on olfactory change over a five-year interval, in a communitydwelling sample of young and old age cohorts. The results showed that agerelated decline in olfactory identification was influenced by the BDNF val66met. In middle-aged subjects, no effect of BDNF val66met was observed although older val homozygote carriers showed a selectively larger olfactory decline than the older met carriers. Overall, results suggest that the relative influence of demographic and cognitive factors vary across different olfactory tasks and that two genes (ApoE and BDNF) impact age-related deficits in odor identification. Potential theoretical and practical implications of the findings are discussed as well as potential limitations of association studies in genomics research.

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Section: Apoe and Odor Identificationmentioning

confidence: 98%

Olfactory Function: The Influence of Demographic, Cognitive, and Genetic factors

Hedner¹

2013

PsycEXTRA Dataset

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“…et al, 2000; Tabert et al, 2005;. These correlations are likely due in large part to a robust association of olfactory identification with neurofibrillary pathology in the entorhinal cortex, hippocampus, and other central olfactory regions .…”

Section: -•-Biological Indicators and Health-related Processesmentioning

confidence: 99%

Neurological Factors in Cognitive Aging

Wilson¹

2008

Handbook of Cognitive Aging: Interdisciplinary Perspectives

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“…With the progression of the disease, patient has signs such as confusion, touchiness, attack, mood swings, speech problems and loss of the long term memory. By decreasing patient's tolerance, he avoids family and society (5,7). Gradually, physical performance is lost and it causes death (8).…”

Section: Alzheimermentioning

confidence: 99%

Identification of Genes Involved in the Early Stages of Alzheimer Disease Using a Neural Network Algorithm

Barati

Ebrahimi

2016

Gene Cell Tissue

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Alzheimer disease is one form of dementia in old age. Alzheimer disease, the incurable disease, which is usually in the seventh decade of human life, shows its symptoms. The disease may be present for years without clinical symptoms. The current study identified the genes with altered expression in patients with Alzheimer disease. The important sequence of each gene in Alzheimer disease was found and introduced as a biomarker of this disease. The present study used microarray libraries related to Alzheimer disease. Finally, the data were weighted using 10 data mining methods, including methods such as support vector machine (SVM), deviation, information gain ratio and the Gini coefficient. Sequences with least two algorithm weights above 0.5 were selected as the most important sequences. Then, a neural network algorithm (neural net, auto multilayer perceptron and perceptron) was run on 11 data bases from the weighted perceptron algorithm, resulting in a careful 97% best performance.

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A 10‐item smell identification scale related to risk for Alzheimer's disease

Cited by 228 publications

References 21 publications

Olfactory Function: The Influence of Demographic, Cognitive, and Genetic factors

Olfactory Function: The Influence of Demographic, Cognitive, and Genetic factors

Neurological Factors in Cognitive Aging

Identification of Genes Involved in the Early Stages of Alzheimer Disease Using a Neural Network Algorithm

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