Primate Recall Memory

2021 ◽  
pp. 210-222
Author(s):  
Molly Flessert ◽  
Michael J. Beran
Keyword(s):  
Recall Memory

Recall memory in the first three years of life: a longitudinal study of preterm and term children

2005 ◽  
Vol 47 (10) ◽  
pp. 653 ◽  
Author(s):  
Susan A Rose ◽  
Judith F Feldman ◽  
Jeffery J Jankowski
Keyword(s):  
Longitudinal Study ◽  
Recall Memory

scholarly journals Delayed recall memory impairment in patients with Parkinson's disease

2016 ◽  
Vol 10 (3) ◽  
pp. 204-209 ◽  
Author(s):  
Arthur Oscar Schelp ◽  
Cristiane Lara Mendes-Chiloff ◽  
Vanessa Cristina Paduan ◽  
José Eduardo Corrente ◽  
Fabrício Diniz de Lima ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Episodic Memory ◽  
Memory Impairment ◽  
Rating Scale ◽  
Demographic Variables ◽  
Delayed Recall ◽  
Recall Memory ◽  
Significant Difference ◽  
With Memory

ABSTRACT Age is one of the risk factors for dementia in patients with Parkinson's disease (PDD). Distinct cognitive syndromes of Parkinson's disease (PD) have been identified in previous studies. Questions about the role of such cognitive disorders in PD outcomes, especially memory dysfunction, in patients with PD remain unanswered. Objective: To establish possible correlations between delayed recall memory (episodic memory), age, and other demographic variables in patients with PD. Methods: A two-stage protocol was applied. Patients with delayed recall memory compromise, selected based on a brief battery of tests (BBRC-Edu), were classified as dementia cases and submitted to the Mattis Dementia Rating Scale (MDRS). Data from patients with memory disturbances were compared against individuals without episodic memory impairment, and correlated with age and demographic variables. Results: Except for identification and naming, all subtests in the screening battery showed a significant difference (p≤0.0001) between the memory-compromised group (case) and the group without memory impairment (no case). The results also correlated negatively with age (p≤0.0001) and positively with level of education (p=0.0874) in patients with PD. Conclusion: The analysis showed a significant relationship between age and dementia characterized by impaired episodic memory. The findings support reports of a wide spectrum of neuropsychological performance impairment in PD with age, particularly dementia associated with memory deterioration. No correlations between disease duration and cognitive dysfunction were evident.

scholarly journals Age affects pigeon memory capacity, but not representation of serial order, during a locomotor sequential-learning task

2021 ◽  
Author(s):  
Christina Meier ◽  
Parisa Sepehri ◽  
Debbie M. Kelly
Keyword(s):  
Cognitive Processing ◽  
Age Groups ◽  
Serial Order ◽  
Memory Capacity ◽  
Learning Task ◽  
Individual Variability ◽  
Sequential Learning ◽  
Choice Test ◽  
Age Related ◽  
Recall Memory

Abstract Aging affects individuals of every species, with sometimes detrimental effects on memory and cognition. The simultaneous-chaining task, a sequential-learning task, requires subjects to select items in a predetermined sequence, putting demands on memory and cognitive processing capacity. It is thus a useful tool to investigate age-related differences in these domains. Pigeons of three age groups (young, adult and aged) completed a locomotor adaptation of the task, learning a list of four items. Training began presenting only the first item; additional items were added, one at a time, once previous items were reliably selected in their correct order. Although memory capacity declined noticeably with age, not all aged pigeons showed impairments compared to younger pigeons, suggesting that inter-individual variability emerged with age. During a subsequent free-recall memory test, when all trained items were presented alongside novel distractor items, most pigeons did not reproduce the trained sequence in the absence of reinforcement. During a further forced-choice test, when pigeons were given a choice between only two of the trained items, all three age groups showed evidence of an understanding of the ordinal relationship between items by choosing the earlier item, indicating that complex cognitive processing, unlike memory capacity, remained unaffected by age.

scholarly journals Muscular Function: An alternative way to identify cognitive impairment, Secondary Analysis From SABE-Colombia

2020 ◽  
Author(s):  
Elkin Garcia-Cifuentes ◽  
Felipe Botero-Rodríguez ◽  
Felipe Ramirez Velandia ◽  
Angela Iragorri ◽  
Isabel Marquez ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Cognitive Performance ◽  
Motor Function ◽  
Gait Speed ◽  
Handgrip Strength ◽  
Secondary Analysis ◽  
Screening Tools ◽  
Cognitively Impaired ◽  
Recall Memory

Abstract Background Traditionally, the identification of cognitive impairment is based on neuropsychological tests and supported with not widely available biomarkers. This study aimed to establish the association between motor function (Gait Speed and Handgrip Strength) and the performance in a global cognitive performance and various cognitive domains. Our secondary objective was to determine a cut-off point for Gait Speed and Handgrip Strength to classify older adults as cognitively impaired. Methods This is a secondary analysis from the SABE Colombia study (Health, Well-Being, and Aging) conducted in 2015. We performed linear regression models, to establish association with motor function, clinical, and sociodemographic variables, and predict the scores of the Mini-mental State Examination and its domains (i.e. orientation, recall, counting, and language). The evaluation of the motor function variables as an instrument to separate cognitively impaired older adults was evaluated by developing a receiving operating characteristic curve (ROC). Results Gait speed was associated with orientation (r2 = 0.16), language (r2 = 0.15), recall memory (r2 = 0.14) and counting (r2 = 0.08). Similarly, handgrip strength was associated with orientation (r2 = 0.175), language (r2 = 0.164), recall memory (r2 = 0.137), and counting (r2 = 0.08). Slow gait had a cut-off point of 0,59 m/s, with an area under the curve (AUC) of 0.629 (0.613–0.646), whereas a weak handgrip strength had an AUC of 0.653 (0.645–0.661), with a cut-off point of 17.50 Kg for separating those older adults with cognitive impairment. Conclusions Gait Speed or Handgrip Strength are similarly associated with cognitive performance, exhibiting the larger associations with orientation and language domains. Gait Speed and Handgrip Strength can be easily performed by any clinician and seems to be useful screening tools to detect cognitive impairment.

Factors That Can Interact with Familiarity

2019 ◽  
pp. 55-76
Author(s):  
Joanna Pozzulo
Keyword(s):  
Criminal Justice ◽  
Recognition Memory ◽  
Criminal Justice System ◽  
Eyewitness Confidence ◽  
Recall Memory ◽  
Unconscious Transference ◽  
Lineup Procedures ◽  
Lineup Identification ◽  
Lineup Procedure ◽  
System Variables

This chapter discusses system variables that are under the control of the criminal justice system and can be manipulated after the crime has occurred, such as the type of lineup procedure shown to the eyewitness. The chapter first discusses recall memory and the different interviewing protocols and how these may interact with familiarity to influence an eyewitness’ memory of the perpetrator as well as the environment and event. Next, the chapter focuses on recognition memory, specifically lineup identification. The different lineup procedures used to collect eyewitness evidence are discussed, in addition to how each procedure may promote higher rates of accuracy and eyewitness confidence when a familiar-stranger is the perpetrator. Last, the chapter discusses unconscious transference and the commitment effect.

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