scholarly journals Patients with Mild Cognitive Impairment Show Lower Visual Short-Term Memory Performance in Feature Binding Tasks

2017 ◽  
Vol 7 (1) ◽  
pp. 74-86 ◽  
Author(s):  
Raju P. Sapkota ◽  
Ian van der Linde ◽  
Nirmal Lamichhane ◽  
Tirthalal Upadhyaya ◽  
Shahina Pardhan
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Short Term Memory ◽  
Feature Binding ◽  
Object Location ◽  
Short Term ◽  
Cognitive Changes ◽  
Term Memory ◽  
Visual Short Term Memory ◽  
Location Binding

Background: Early cognitive changes in people at risk of developing dementia may be detected using behavioral tests that examine the performance of typically affected brain areas, such as the hippocampi. An important cognitive function supported by the hippocampi is memory binding, in which object features are associated to create a unified percept. Aim: To compare visual short-term memory (VSTM) binding performance for object names, locations, and identities between a participant group known to be at higher risk of developing dementia (mild cognitive impairment [MCI]) and healthily aging controls. Methods: Ten MCI and 10 control participants completed five VSTM tests that differed in their requirement of remembering bound or unbound object names, locations, and identities, along with a standard neuropsychological test (Addenbrooke’s Cognitive Examination [ACE]-III). Results: The performance of the MCI participants was selectively and significantly lower than that of the healthily aging controls for memory tasks that required object-location or name-location binding. Conclusion: Tasks that measure unimodal (object-location) and crossmodal (name-location) binding performance appear to be particularly effective for the detection of early cognitive changes in those at higher risk of developing dementia due to Alzheimer’s disease.

P2-317: WHEN IS SHORT-TERM MEMORY BINDING SELECTIVELY IMPAIRED IN MILD COGNITIVE IMPAIRMENT?

2016 ◽  
Vol 12 ◽  
pp. P761-P761 ◽  
Author(s):  
Mario Alfredo Parra ◽  
Sara Fernandez Guinea ◽  
Lidia Sanchez ◽  
Beatriz Suarez ◽  
Anna Frank ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Memory Binding

scholarly journals New evidence for rapid development of colour–location binding in infants’ visual short-term memory

2009 ◽  
Vol 17 (1-2) ◽  
pp. 67-82 ◽  
Author(s):  
Lisa M. Oakes ◽  
Ian M. Messenger ◽  
Shannon Ross-Sheehy ◽  
Steven J. Luck
Keyword(s):  
Short Term Memory ◽  
Rapid Development ◽  
Short Term ◽  
Term Memory ◽  
Visual Short Term Memory ◽  
Location Binding ◽  
New Evidence

scholarly journals An Eye Tracking Investigation of Color-Location Binding in Infants' Visual Short-Term Memory

Infancy ◽  
2017 ◽  
Vol 22 (5) ◽  
pp. 584-607 ◽  
Author(s):  
Lisa M. Oakes ◽  
Heidi A. Baumgartner ◽  
Shipra Kanjlia ◽  
Steven J. Luck
Keyword(s):  
Eye Tracking ◽  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Visual Short Term Memory ◽  
Location Binding

Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study

2021 ◽  
pp. 1-14
Author(s):  
Juan F. Martínez-Florez ◽  
Juan D. Osorio ◽  
Judith C. Cediel ◽  
Juan C. Rivas ◽  
Ana M. Granados-Sánchez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Diagnosis ◽  
Short Term Memory ◽  
Amnestic Mild Cognitive Impairment ◽  
Short Term ◽  
Term Memory ◽  
Memory Binding ◽  
Feature Importance

Background: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer’s disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and genetic markers have proved to be sensitive and specific for the early diagnosis of AD. However, the high cost of these procedures is prohibitive in low-income and middle-income countries (LIMCs). The neuropsychological assessments currently aim to identify cognitive markers that could contribute to the early diagnosis of dementia. Objective: Compare machine learning (ML) architectures classifying and predicting aMCI and asset the contribution of cognitive measures including binding function in distinction and prediction of aMCI. Methods: We conducted a two-year follow-up assessment of a sample of 154 subjects with a comprehensive multidomain neuropsychological battery. Statistical analysis was proposed using complete ML architectures to compare subjects’ performance to classify and predict aMCI. Additionally, permutation importance and Shapley additive explanations (SHAP) routines were implemented for feature importance selection. Results: AdaBoost, gradient boosting, and XGBoost had the highest performance with over 80%success classifying aMCI, and decision tree and random forest had the highest performance with over 70%success predictive routines. Feature importance points, the auditory verbal learning test, short-term memory binding tasks, and verbal and category fluency tasks were used as variables with the first grade of importance to distinguish healthy cognition and aMCI. Conclusion: Although neuropsychological measures do not replace biomarkers’ utility, it is a relatively sensitive and specific diagnostic tool for aMCI. Further studies with ML must identify cognitive performance that differentiates conversion from average MCI to the pathological MCI observed in AD.

Face Short-Term Memory-Related Electroencephalographic Patterns can Differentiate Multi- versus Single-Domain Amnestic Mild Cognitive Impairment

2011 ◽  
Vol 26 (1) ◽  
pp. 157-169 ◽  
Author(s):  
Marie-Pierre Deiber ◽  
Vicente Ibáñez ◽  
François Herrmann ◽  
Cristelle Rodriguez ◽  
Joan Emch ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Short Term Memory ◽  
Amnestic Mild Cognitive Impairment ◽  
Single Domain ◽  
Short Term ◽  
Term Memory
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