Learning and serial effects on verbal memory in mild cognitive impairment

Campos-Magdaleno, María; Díaz-Bóveda, Rosalía; Juncos‐Rabadán, Onésimo; Facal, David; Pereiro, Arturo X.

doi:10.1080/23279095.2015.1053887

Cited by 18 publications

(16 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We assumed, in accordance with Brambati et al . (2009) and Campos-Magdaleno, Díaz-Bóveda, Juncos-Rabadán, Facal, & Pereiro (2016), that the change from single-domain to multiple-domain corresponds to cognitive worsening, in which multi-domain MCI represents the most severely impaired of the MCI subtypes.…”

Section: Methodsmentioning

confidence: 99%

Changes in visual memory in mild cognitive impairment: a longitudinal study with CANTAB

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background Mild cognitive impairment (MCI), as a stage in the cognitive continuum between normal ageing and dementia, is mainly characterized by memory impairment. The aims of this study were to examine CANTAB measures of temporal changes of visual memory in MCI and to evaluate the usefulness of the baseline scores for predicting changes in cognitive status. Methods The study included 201 participants aged over 50 years with subjective cognitive complaints. Visual memory was assessed with four CANTAB tests [paired associates learning (PAL), delayed matching to sample (DMS), pattern recognition memory (PRM) and spatial span (SSP)] administered at baseline and on two further occasions, with a follow-up interval of 18–24 months. Participants were divided into three groups according to the change in their cognitive status: participants with subjective cognitive complaints who remained stable, MCI participants who remained stable (MCI-Stable) and MCI participants whose cognitive deterioration continued (MCI-Worsened). Linear mixed models were used to model longitudinal changes, with evaluation time as a fixed variable, and multinomial regression models were used to predict changes in cognitive status. Results Isolated significant effects were obtained for age and group with all CANTAB tests used. Interactions between evaluation time and group were identified in the PAL and DMS tests, indicating different temporal patterns depending on the changes in cognitive status. Regression models also indicated that CANTAB scores were good predictors of changes in cognitive status. Conclusions Decline in visual memory measured by PAL and DMS tests can successfully distinguish different types of MCI, and considered together PAL, DMS, PRM and SSP can predict changes in cognitive status.

show abstract

Section: Methodsmentioning

confidence: 99%

Changes in visual memory in mild cognitive impairment: a longitudinal study with CANTAB

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…This article discusses the design and initial validation of a digital game aimed to early detect MCI and AD in senior adults. For this, the game addresses the most relevant marker of early cognitive impairment, that is, episodic memory [6]- [12]. To do this, we followed an adaptation of the DS Research Methodology in IS [43], which covers the whole process to obtain a working artifact both from an ICT and a medical perspective.…”

Section: Discussionmentioning

confidence: 99%

Peer Review #1 of "Design process and preliminary psychometric study of a video game to detect cognitive impairment in senior adults (v0.2)"

Tan¹

2017

View full text Add to dashboard Cite

Introduction. Assessment of episodic memory has been traditionally used to evaluate potential cognitive impairments in senior adults. Typically, episodic memory evaluation is based on personal interviews and pen-and-paper tests. This article presents the design, development and a preliminary validation of a novel digital game to assess episodic memory intended to overcome the limitations of traditional methods, such as the cost of its administration, its intrusive character, the lack of early detection capabilities, the lack of ecological validity, the learning effect and the existence of confounding factors. Materials and methods. Our proposal is based on the gamification of the California Verbal Learning Test (CVLT) and it has been designed to comply with the psychometric characteristics of reliability and validity. Two qualitative focus groups and a first pilot experiment were carried out to validate the proposal. Results. A more ecological, non-intrusive and better administrable tool to perform cognitive assessment was developed. Initial evidence from the focus groups and pilot experiment confirmed the developed game's usability and offered promising results insofar its psychometric validity is concerned. Moreover, the potential of this game for the cognitive classification of senior adults was confirmed, and administration time is dramatically reduced with respect to pen-and-paper tests. Limitations. Additional research is needed to improve the resolution of the game for the identification of specific cognitive impairments, as well as to achieve a complete validation of the psychometric properties of the digital game. Conclusion. Initial evidence show that serious games can be used as an instrument to assess the cognitive status of senior adults, and even to predict the onset of mild cognitive impairments or Alzheimer's disease.

show abstract

“…Episodic memory is a cognitive system that allows human beings to recall past experiences [47]. The evaluation of episodic memory is paramount to MCI or AD detection, as it is the most reliable indicator of the likelihood of conversion of MCI into AD [29,48,49,50]. Episodix (cf.…”

Section: The Panoramix Suit 311 Episodix Serious Gamementioning

confidence: 99%

Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques

Valladares-Rodríguez¹,

Pérez‐Rodríguez²,

Fernandez-Iglesias³

et al. 2018

Methods Inf Med

Self Cite

View full text Add to dashboard Cite

Summary Objective: Alzheimer’s disease (AD) is one of the most prevalent diseases among the adult population. The early detection of Mild Cognitive Impairment (MCI), which may trigger AD, is essential to slow down the cognitive decline process. Methods: This paper presents a suit of serious games that aims at detecting AD and MCI overcoming the limitations of traditional tests, as they are time-consuming, affected by confounding factors that distort the result and usually administered when symptoms are evident and it is too late for preventive measures. The battery, named Panoramix, assesses the main early cognitive markers (i.e., memory, executive functions, attention and gnosias). Regarding its validation, it has been tested with a cohort study of 16 seniors, including AD, MCI and healthy individuals. Results: This first pilot study offered initial evidence about psychometric validity, and more specifically about construct, criterion and external validity. After an analysis using machine learning techniques, findings show a promising 100% rate of success in classification abilities using a subset of three games in the battery. Thus, results are encouraging as all healthy subjects were correctly discriminated from those already suffering AD or MCI. Conclusions: The solid potential of digital serious games and machine learning for the early detection of dementia processes is demonstrated. Such a promising performance encourages further research to eventually introduce this technique for the clinical diagnosis of cognitive impairment.

show abstract

Learning and serial effects on verbal memory in mild cognitive impairment

Cited by 18 publications

References 51 publications

Changes in visual memory in mild cognitive impairment: a longitudinal study with CANTAB

Changes in visual memory in mild cognitive impairment: a longitudinal study with CANTAB

Peer Review #1 of "Design process and preliminary psychometric study of a video game to detect cognitive impairment in senior adults (v0.2)"

Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques

Contact Info

Product

Resources

About