The cumulative semantic interference effect in normal and pathological ageing.

Neuropsychologia

Human Cognitive Neuroscience and Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK.

Published: December 2014

People affected by mild cognitive impairment (MCI), a precursor of Alzheimer's Disease, present with impairments in picture naming, a lexical/semantic task which rests on the activation of perceptual, semantic, and phonological representations. The poor performance of MCI individuals in picture naming has been accounted for in terms of deficits of either the perceptual, semantic, or phonological stages. To disentangle the source of this deficit we compared the cumulative semantic interference effect (Howard et al., 2006. Cognition. 100, 464-482.) and the repetition priming effect of a group of people with MCI to that of a group of healthy elderly participants and with a group of healthy young participants. The cumulative semantic interference effect defines a linear increase in the picture naming reaction times which is function of the already named pictures belonging to the same semantic category to which the named picture belongs. The repetition priming effect refers to an increase in performance for repeated items compared to unrepeated items. Results showed that whereas the cumulative semantic interference effect was present in the healthy elderly and young samples, it was absent in the MCI sample; instead, all groups showed comparable repetition priming effects. This pattern of results suggests that the impairment in picture naming exhibited by MCI individuals is due to an inefficient semantic access.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neuropsychologia.2014.10.007DOI Listing

Publication Analysis

Top Keywords

cumulative semantic
16
semantic interference
16
picture naming
16
repetition priming
12
perceptual semantic
8
semantic phonological
8
mci individuals
8
group healthy
8
healthy elderly
8
semantic
7

Similar Publications

Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation.

Neural Netw

December 2024

Intelligent Financial Software Engineering New Technology Joint Laboratory, Xidian University, Xi'an, 710071, China; Shanghai Fairyland Software Corp., Ltd., Shanghai, 200233, China. Electronic address:

Article Synopsis
  • Next Basket Recommendation (NBR) aims to predict user preferences based on past purchasing behavior using advanced models like recurrent neural networks.
  • Current NBR models struggle with optimal representation due to reliance on unique IDs, missing out on important semantic connections between items and broader collaborative user relations.
  • A new dual-tower model combines semantic understanding and global collaboration through a hierarchical semantic attention mechanism and a hypergraph network, improving the accuracy of recommendations based on comprehensive experiments.
View Article and Find Full Text PDF

Background: Findings regarding the protective effect of Angiotensin II receptor blockers (ARBs) against Alzheimer's disease and related dementias (AD/ADRD) and cognitive decline have been inconclusive.

Methods: Individuals with hypertension who do not have any prior ADRD diagnosis were included in this retrospective cohort study from Optum's de-identified Clinformatics® Data Mart. We identified antihypertensive medication (AHM) drug classes and subclassified ARBs by blood-brain barrier (BBB) permeability.

View Article and Find Full Text PDF

Background: Bilingual assessment is particularly difficult in the very first period of children's second language (L2) exposure. This exploratory, longitudinal study examined L2 learning after 1 and 2 years of L2 exposure by young immigrants and how it is affected by their age at first exposure to the L2 (AoE).

Method: Participants were 18 immigrants ranging in age from 2;11 to 14;2 (years;months), all within their first year in Montreal at Time 1, enrolled in a French school or day care, and from a Mandarin first language background.

View Article and Find Full Text PDF

Research on Mobile Robot Navigation Method Based on Semantic Information.

Sensors (Basel)

July 2024

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

This paper proposes a solution to the problem of mobile robot navigation and trajectory interpolation in dynamic environments with large scenes. The solution combines a semantic laser SLAM system that utilizes deep learning and a trajectory interpolation algorithm. The paper first introduces some open-source laser SLAM algorithms and then elaborates in detail on the general framework of the SLAM system used in this paper.

View Article and Find Full Text PDF

Purpose: To preliminarily investigate the reliability and validity of the Chinese version of the Cerebellar Cognitive Affective Syndrome Scale (CCAS scale) in the cerebellar injury population.

Methods: In this study, 40 patients with cerebellar injury and 39 normal individuals hospitalized in a stroke center were assessed using the Chinese version of the CCAS scale A, MMSE, and PHQ2, and the results were analyzed using content validity, structural validity, internal consistency, inter- rater agreement, and test-retest reliability.

Results: The correlation coefficients of semantic fluency, phonemic fluency, category switching, digit span forward, digit span backward, cube, verbal recall, similarities and Go No-Go subscores in the Chinese version of the CCAS scale A were 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!