Harnessing forgetfulness: can episodic-memory tests predict early Alzheimer’s disease?

Warren, Samuel L.; Moustafa, Ahmed A.; Alashwal, Hany; Initiative, Alzheimer’s Disease Neuroimaging

doi:10.1007/s00221-021-06182-w

Cited by 9 publications

(8 citation statements)

References 35 publications

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“…Specifically, a Face-Name pairs test, similar to the People subtest, may have the potential to be a useful neuropsychological tool for the identification of the MCI and the prediction of conversion to probable ADD within two years [ 57 ]. The study of Warren et al (2021) also showed that episodic memory measures, such as the logical memory test (LMT) and RAVLT, can be reliable predictors of MCI to mild ADD progression [ 58 ]. Furthermore, the present results are supported by other studies which used longitudinal design [ 55 , 59 , 60 ].…”

Section: Discussionmentioning

confidence: 99%

Episodic Memory in Amnestic Mild Cognitive Impairment (aMCI) and Alzheimer’s Disease Dementia (ADD): Using the “Doors and People” Tool to Differentiate between Early aMCI—Late aMCI—Mild ADD Diagnostic Groups

et al. 2022

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Episodic memory is the type of memory that allows the recollection of personal experiences containing information on what has happened and, also, where and when it happened. Because of its sensitivity to neurodegenerative diseases and the aging of the brain, it is considered a hallmark of Alzheimer’s disease dementia (ADD). The objective of the present study was to examine episodic memory in amnestic mild cognitive impairment (aMCI) and ADD. Patients with the diagnosis of early aMCI, late aMCI, and mild ADD were evaluated using the Doors and People tool which consists of four subtests examining different aspects of episodic memory. The statistical analysis with receiver operating characteristic curves (ROC) showed the discriminant potential and the cutoffs of every subtest. Overall, the evaluation of episodic memory with the Doors and People tool can discriminate with great sensitivity between the different groups of people with AD and, especially, early aMCI, late aMCI, and mild ADD patients.

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Section: Discussionmentioning

confidence: 99%

Episodic Memory in Amnestic Mild Cognitive Impairment (aMCI) and Alzheimer’s Disease Dementia (ADD): Using the “Doors and People” Tool to Differentiate between Early aMCI—Late aMCI—Mild ADD Diagnostic Groups

et al. 2022

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“…Measures of SMC are generally neuropsychological tests in which individuals rate their current memory, compare current and previous memory performance, or rate their memory in comparison to peers [18,30]. Tests of SMC have been found to predict accelerated cognitive decline; however, research into the relationship between SMC and objective performance on cognitive measures is limited [10,27]. Nonetheless, longitudinal testing has shown that individuals with SMC are more likely to progress to MCI and dementia than those without SMC [33,34].…”

Section: Measuring Smcmentioning

confidence: 99%

“…In turn, there is a vast literature that examines MCI as a predictor or transitional stage of AD. For Example, psychological tests have been devised that selectively focus on the cognitive domains affected by MCI and dementia to separate healthy individuals from those with clinical symptoms [9,10]. Nonetheless, evidence suggests that MCI is not the earliest stage of prodromal AD and that earlier disease detection is necessary for significant intervention [11,12].…”

Section: Introductionmentioning

confidence: 99%

Subjective memory complaints as a predictor of mild cognitive impairment and Alzheimer’s disease

et al. 2022

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While there is a multitude of studies on mild cognitive impairment (MCI; more than 80,000 articles), subjective memory complaints (SMC) have received less attention as a prodromal stage of Alzheimer’s disease (AD; less than 2000 articles). In this perspective review article, we argue that SMC should also be considered as another risk factor for the development of AD, and perhaps a pre-MCI condition. This recognition of SMC could help clinicians to identify individuals at risk of developing dementia and could provide protective treatment for them. Accordingly, in this perspective article, we review key studies that outline the nature of SMC, discuss how SMC is measured, explore SMC in MCI, introduce some approaches to SMC treatment, and we discuss future directions for SMC research. Overall, we argue that, like MCI, there should be more research on SMC as a risk factor for developing AD. Consequentially, we aim to highlight the need for further research on SMC and the condition’s role as a potential neuroprotector against AD (e.g., early-stage marker).

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“…In humans, AD signs are increased confusion and loss of learning ability and memory [ 4 ]. Generally, AD is categorized into three stages based on its symptoms and effects [ 5 ]. In the beginning stage (mild AD), the sign of AD is most commonly amnesia [ 6 ], which does not change a person's daily life.…”

Section: Introductionmentioning

confidence: 99%

A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal

Swarnalatha

2023

Computational Intelligence and Neuroscience

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Recent researchers have been drawn to the analysis of electroencephalogram (EEG) signals in order to confirm the disease and severity range by viewing the EEG signal which has complicated the dataset. The conventional models such as machine learning, classifiers, and other mathematical models achieved the lowest classification score. The current study proposes to implement a novel deep feature with the best solution for EEG signal analysis and severity specification. A greedy sandpiper-based recurrent neural system (SbRNS) model for predicting Alzheimer’s disease (AD) severity has been proposed. The filtered data are used as input for the feature analysis and the severity range is divided into three classes: low, medium, and high. The designed approach was then implemented in the matrix laboratory (MATLAB) system, and the effectiveness score was calculated using key metrics such as precision, recall, specificity, accuracy, and misclassification score. The validation results show that the proposed scheme achieved the best classification outcome.

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Harnessing forgetfulness: can episodic-memory tests predict early Alzheimer’s disease?

Cited by 9 publications

References 35 publications

Episodic Memory in Amnestic Mild Cognitive Impairment (aMCI) and Alzheimer’s Disease Dementia (ADD): Using the “Doors and People” Tool to Differentiate between Early aMCI—Late aMCI—Mild ADD Diagnostic Groups

Episodic Memory in Amnestic Mild Cognitive Impairment (aMCI) and Alzheimer’s Disease Dementia (ADD): Using the “Doors and People” Tool to Differentiate between Early aMCI—Late aMCI—Mild ADD Diagnostic Groups

Subjective memory complaints as a predictor of mild cognitive impairment and Alzheimer’s disease

A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal

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