In this study we report the long-term follow-up of EA, a patient originally affected by a disproportionate semantic impairment of biological categories due to herpetic encephalitis. After 10 years, EA still presented a biological categories semantic impairment, but his deficit had become minimal for animals while it remained considerably severe for fruit and vegetables, without any evolution from the original level of impairment. The eventual discrepancy between the two subsets of biological categories was statistically significant at word-picture matching and verbal semantic probes (and could not be explained by nuisance variables), but not significant at picture naming due to an associated lexical impairment that, besides plant life items, also affected animals and artefact stimuli. Our recovery data corroborate the notion that biological categories should be further fractionated, and we comment on the suitability of different accounts of category specificity to accommodate such findings. We discuss our case against the background of other cases reported in the literature and the current models of organisation of the semantic system, bringing to light some interesting consistencies concerning patients whose semantic impairment disproportionately affects the categories of fruit and vegetables.

Download full-text PDF

Source
http://dx.doi.org/10.1080/02643290442000004DOI Listing

Publication Analysis

Top Keywords

biological categories
16
semantic impairment
12
plant life
8
herpetic encephalitis
8
long-term follow-up
8
follow-up patient
8
fruit vegetables
8
semantic
5
impairment
5
categories
5

Similar Publications

Background: Benign breast disease (BBD) increases breast cancer (BC) risk progressively for women diagnosed with non-proliferative (NP) change, proliferative disease without atypia (PDWA), and atypical hyperplasia (AH). Leveraging data from 18,704 women in the Mayo BBD Cohort (1967-2013), we evaluated temporal trends in BBD diagnoses and how they have influenced associated BC risk over four decades.

Methods: BC risk trends associated with BBD were evaluated using standardized incidence ratios (SIRs) and age-period-cohort modeling across four eras-pre-mammogram (1967-1981), pre-core needle biopsy (CNB) (1982-1992), transition to CNB (1993-2001), and CNB era (2002-2013).

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

National Center for Neurological Disorders, Shanghai, Shanghai, China.

Background: The heart-brain connection has been proposed to correlate cardiac disorders with brain health. However, the associations between subclinical alterations in cardiac structure or function and Alzheimer's disease (AD) pathologies haven't been fully elucidated. This study aimed to delineate the interrelationships between the subclinical alterations in the left heart, cerebrospinal fluid (CSF) AD biomarkers, and cognition.

View Article and Find Full Text PDF

Background: Olfactory deficits are predictive of cognitive decline and dementia. Previous studies have linked brain magnetic resonance imaging markers of neurodegeneration to olfactory deficits in aging; however, these studies analyzed cross-sectional data for markers, olfaction, or both. Furthermore, potential cerebrovascular contributions to understanding why olfactory deficits predict dementia remain unexplored.

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands.

Background: We hypothesise that improved diagnostic precision, operationalised by adding amyloid positron emission tomography (PET) to the diagnostic work-up in a memory clinic, is beneficial for long-term health and healthcare cost outcomes. We investigated whether a more precise diagnosis influenced institutionalisation and mortality incidence trajectories, and annual healthcare costs over a period up to eight years.

Method: Between October 2014 and December 2016, patients from the Amsterdam Dementia Cohort were offered an amyloid-PET as part of their diagnostic work-up.

View Article and Find Full Text PDF

Background: The Defense Automated Neurobehavioral Assessment (DANA) encompasses a suite of standardized neurocognitive screening tools designed for detecting various neurodegenerative diseases and subtle cognitive deficits. This study presents a pilot investigation into digital cognitive screening, utilizing an Android version of the DANA tests, conducted among a diverse South Asian population residing in India.

Methods: The study involved individuals aged over 50 years, nested within the ongoing population-based longitudinal Precision-CARRS study, representative of socio-demographically and linguistically diverse adults from Delhi and Chennai in India.

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!