Familiarity-based recognition in the young, healthy elderly, mild cognitive impaired and Alzheimer's patients

Algarabel, Salvador; Escudero, Joaquín; Mazón, Jose F.; Pitarque, Alfonso; Fuentes, Manuel; Peset, Vicente; Lacruz, Laura

doi:10.1016/j.neuropsychologia.2009.03.016

Cited by 47 publications

(76 citation statements)

References 68 publications

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“…This conclusion, as well as others obtained using the remember-know procedure (Hudon et al, 2009;Serra et al, 2010), was based on the assumption that this dependent variable was more susceptible to the influence of familiarity than others (but see Migo, Montaldi, Norman, Quamme, & Mayes, 2009). As in a previous paper (Algarabel et al, 2009) we do not find the assumption to be well founded. Other researchers (Wolk et al, 2008), as well as ourselves (Algarabel et al, 2009), have also provided evidence that there is a deficit in familiarity in these patients who, in many cases, will develop Alzheimer's disease.…”

Section: Discussioncontrasting

confidence: 79%

“…Previous studies that assessed familiarity in MCI patients produced inconclusive results. Initially, Westerberg, Paller, Holdstock, Mayes, and Reber (2006) concluded that familiarity was intact in MCI (see also Anderson et al, 2008;Hudon, Belleville, & Gauthier, 2009;Serra et al, 2010), although subsequent reports (Algarabel et al, 2009;Ally, McKeever, Waring, & Budson, 2009;Wolk, Signoff, & DeKosky, 2008) did contradict Westerberg's initial negative findings. These contradictory results may be due largely to methodological problems associated with the use of experimental paradigms that are based on premises not fully accepted (see e.g., Wixted, Mickes, & Squire, 2010).…”

Section: Recognition Deficits In MCI 609mentioning

confidence: 96%

“…If participants are led to believe, and this fact becomes completely essential in the design, that one of the words has been studied, the word eliciting familiarity will be chosen as the 'studied' word, and can be taken as an index of the degree of familiarity induced in the study phase (see Algarabel, Pitarque, Tomás, & Mazón, 2010;Parkin et al, 2001). We have used this estimation of the familiarity processes before (Algarabel et al, 2009(Algarabel et al, , 2010 very successfully because it does not require making any strong assumption about the nature of familiarity (see Wixted et al, 2010) as other procedures do.…”

Section: Recognition Deficits In MCI 609mentioning

confidence: 99%

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Recognition memory deficits in mild cognitive impairment

Algarabel

Fuentes

Escudero

et al. 2012

Aging, Neuropsychology, and Cognition

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There is no agreement on the pattern of recognition memory deficits characteristic of patients diagnosed with mild cognitive impairment (MCI). Whereas lower performance in recollection is the hallmark of MCI, there is a strong controversy about possible deficits in familiarity estimates when using recognition memory tasks. The aim of this research is to shed light on the pattern of responding in recollection and familiarity in MCI. Five groups of participants were tested. The main participant samples were those formed by two MCI groups differing in age and an Alzheimer's disease group (AD), which were compared with two control groups. Whereas one of the control groups served to assess the performance of the MCI and AD people, the other one, composed of young healthy participants, served the purpose of evaluating the adequacy of the experimental tasks used in the evaluation of the different components of recognition memory. We used an associative recognition task as a direct index of recollection and a choice task on a pair of stimuli, one of which was perceptually similar to those studied in the associative recognition phase, as an index of familiarity. Our results indicate that recollection decreases with age and neurological status, and familiarity remains stable in the elderly control sample but it is deficient in MCI. This research shows that a unique encoding situation generated deficits in recollective and familiarity mechanisms in mild cognitive impaired individuals, providing evidence for the existence of deficits in both retrieval processes in recognition memory in a MCI stage.

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Section: Discussioncontrasting

confidence: 79%

Section: Recognition Deficits In MCI 609mentioning

confidence: 96%

Section: Recognition Deficits In MCI 609mentioning

confidence: 99%

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Recognition memory deficits in mild cognitive impairment

Algarabel

Fuentes

Escudero

et al. 2012

Aging, Neuropsychology, and Cognition

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“…Whereas Westerberg et al found that recollection was severely impaired and familiarity relatively preserved in MCI patients, Algarabel et al (2009) suggested that familiarity could be impaired in MCI patients. In summary, there is no consensus regarding the preservation of familiarity in patients with MCI and AD, but all studies agree that recollection is severely impaired in both patient populations.…”

Section: Introductionmentioning

confidence: 96%

“…Finally, recollection and familiarity have been more indirectly assessed by means of experimental manipulations (e.g. test format: Westerberg et al, 2006; salience of fluency: Algarabel et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

Item familiarity and controlled associative retrieval in Alzheimer's disease: An fMRI study

Genon

Collette

Feyers

et al. 2013

Cortex

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Typical Alzheimer's disease (AD) is characterized by an impaired form of associative memory, recollection, that includes the controlled retrieval of associations. In contrast, familiarity-based memory for individual items may sometimes be preserved in the early stages of the disease. This is the first study that directly examines whole brain regional activity during one core aspect of the recollection function: associative controlled episodic retrieval (CER), contrasted to item familiarity in AD patients. Cerebral activity related to associative CER and item familiarity in AD patients and healthy controls (HC) was measured with functional magnetic resonance imaging during a word-pair recognition task to which the process dissociation procedure was applied. Some patients had null CER estimates (AD-), whereas others did show some CER abilities (AD+), although significantly less than HC. In contrast, familiarity estimates were equivalent in the three groups. In AD+, as in controls, associative CER activated the inferior precuneus/posterior cingulate cortex (PCC). When performing group comparisons, no region was found to be significantly more activated during CER in HC than AD+ and vice versa. However, during associative CER, functional connectivity between this region and the hippocampus, the inferior parietal and dorsolateral prefrontal cortex (DLPFC) was significantly higher in HC than in AD+. In all three groups, item familiarity was related to activation along the intraparietal sulcus (IPS). In conclusion, whereas the preserved automatic detection of an old item (without retrieval of accurate word association) is related to parietal activation centred on the IPS, the inferior precuneus/PCC supports associative CER ability in AD patients, as in HC. However, AD patients have deficient functional connectivity during associative CER, suggesting that the residual recollection function in these patients might be impoverished by the lack of some recollection-related aspects such as autonoetic quality, episodic details and verification.

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A machine learning approach for potential Super‐Agers identification using neuronal functional connectivity networks

Fili,

Mohammadiarvejeh,

Klinedinst

et al. 2024

Alz & Dem Diag Ass & Dis Mo

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INTRODUCTIONAging is often associated with cognitive decline. Understanding neural factors that distinguish adults in midlife with superior cognitive abilities (Positive‐Agers) may offer insight into how the aging brain achieves resilience. The goals of this study are to (1) introduce an optimal labeling mechanism to distinguish between Positive‐Agers and Cognitive Decliners, and (2) identify Positive‐Agers using neuronal functional connectivity networks data and demographics.METHODSIn this study, principal component analysis initially created latent cognitive trajectories groups. A hybrid algorithm of machine learning and optimization was then designed to predict latent groups using neuronal functional connectivity networks derived from resting state functional magnetic resonance imaging. Specifically, the Optimal Labeling with Bayesian Optimization (OLBO) algorithm used an unsupervised approach, iterating a logistic regression function with Bayesian posterior updating. This study encompassed 6369 adults from the UK Biobank cohort.RESULTSOLBO outperformed baseline models, achieving an area under the curve of 88% when distinguishing between Positive‐Agers and cognitive decliners.DISCUSSIONOLBO may be a novel algorithm that distinguishes cognitive trajectories with a high degree of accuracy in cognitively unimpaired adults.Highlights Design an algorithm to distinguish between a Positive‐Ager and a Cognitive‐Decliner. Introduce a mathematical definition for cognitive classes based on cognitive tests. Accurate Positive‐Ager identification using rsfMRI and demographic data (AUC = 0.88). Posterior default mode network has the highest impact on Positive‐Aging odds ratio.

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Familiarity-based recognition in the young, healthy elderly, mild cognitive impaired and Alzheimer's patients

Cited by 47 publications

References 68 publications

Recognition memory deficits in mild cognitive impairment

Recognition memory deficits in mild cognitive impairment

Item familiarity and controlled associative retrieval in Alzheimer's disease: An fMRI study

A machine learning approach for potential Super‐Agers identification using neuronal functional connectivity networks

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