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Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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Related Experiment Video

Updated: Jul 13, 2026

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
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Timed image naming evaluation for adults (TIME) using BOSS images.

Sabine Heuer1, Corey Briska2, Priyanka Shah-Basak2

  • 1Department of Communication Sciences and Disorders, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America.

Plos One
|March 9, 2026
PubMed
Summary

This study provides crucial image naming norms for adults aged 40+, addressing age-related declines in word retrieval. Findings highlight the importance of response times alongside accuracy for understanding lexical access in aging populations.

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Area of Science:

  • Psycholinguistics
  • Neuroscience
  • Cognitive Psychology

Background:

  • Normative data for photograph naming is vital for psycholinguistic research.
  • Existing norms primarily use young adults, limiting applicability to older populations at risk for language impairments.
  • Lexical retrieval can decline in healthy aging, necessitating age-specific norms to differentiate normal from impaired word retrieval.

Purpose of the Study:

  • To establish normative data for image naming in middle-aged and older adults.
  • To investigate age-related differences in naming accuracy, name agreement, H values, and response times (RT).
  • To expand the utility of the Bank of Standardized Stimuli (BOSS) for research on aging and language.

Main Methods:

  • Collected normative data for 600 photographs from the BOSS across three age cohorts (40-50, 51-65, 66+).
  • Administered a web-based oral picture naming task via video conferencing.
  • Analyzed naming accuracy, name agreement, H values, and response times (RT).

Main Results:

  • High overall naming accuracy (80.5%) and name agreement (87.4%) were observed across the sample.
  • The 51-65 age cohort demonstrated the highest accuracy and fastest response times.
  • Significant correlations between RT, name agreement, and H value support RT as an index of naming difficulty.

Conclusions:

  • The study provides valuable normative data for middle-aged and older adults, including RT and alternative names.
  • Findings underscore the importance of incorporating RT measures with traditional naming norms for comprehensive stimulus characterization.
  • Open access to the updated dataset will aid future research on age-related language processing and clinical applications.