Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Dementia01:30

Dementia

124
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
124
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

2.1K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
2.1K
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

506
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
506

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Increasing Health Care Agent Documentation in a Residency Clinic.

WMJ : official publication of the State Medical Society of Wisconsin·2025
Same author

AGP Reports for Glucose and Insulin Devices Qualitative Study: What Patients and Clinicians Want.

The science of diabetes self-management and care·2025
Same author

Comparing Patch vs Pen Bolus Insulin Delivery in Type 2 Diabetes Using Continuous Glucose Monitoring Metrics and Profiles.

Journal of diabetes science and technology·2021
See all related articles

Related Experiment Video

Updated: Jul 14, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.6K

Using personal writings to detect dementia: A text mining approach.

Beni Asllani1, Deborah M Mullen1

  • 1Department of Management, The University of Tennessee at Chattanooga, Gary W. Rollins College of Business, Chattanooga, TN, USA.

Health Informatics Journal
|October 6, 2023
PubMed
Summary
This summary is machine-generated.

This study explored dementia detection in writings using Linguistic Inquiry and Word Count (LIWC). Findings suggest linguistic markers in text may indicate early dementia changes.

Keywords:
dementialinguistic inquiry and word counttext-mining

More Related Videos

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.2K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

Related Experiment Videos

Last Updated: Jul 14, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.6K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.2K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

Area of Science:

  • Neuroscience
  • Computational Linguistics
  • Psychology

Background:

  • Early detection of dementia is crucial for timely intervention.
  • Textual analysis offers a non-invasive method for cognitive assessment.
  • Linguistic patterns may reflect underlying cognitive changes associated with dementia.

Purpose of the Study:

  • To pilot a text mining approach for dementia detection using Linguistic Inquiry and Word Count (LIWC).
  • To compare linguistic features in writings of individuals with and without dementia.
  • To explore the potential of analyzing word choice and affect for early dementia identification.

Main Methods:

  • A novel text mining pilot was conducted using Linguistic Inquiry and Word Count (LIWC).
  • Writings from public figures were analyzed for word choice, affect, and linguistic patterns.
  • Comparison was made between samples from individuals with and without dementia.

Main Results:

  • Writings from individuals with dementia showed significantly more analytical thinking words.
  • Individuals with dementia used significantly less authentic and emotional tone, and fewer functional words.
  • Pronoun usage was significantly higher, and time-oriented words were significantly lower in samples from those with dementia.

Conclusions:

  • Textual analysis using LIWC shows potential for detecting early linguistic changes associated with dementia.
  • Distinct linguistic markers, including word choice and affect, differentiate individuals with and without dementia.
  • This approach may facilitate early preventative treatment before significant cognitive impairment is evident.