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

Language and Cognition01:27

Language and Cognition

342
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
342
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

93
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
93

You might also read

Related Articles

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

Sort by
Same author

Systematic review and meta-analysis: pharmacogenetics of anti-TNF treatment response in rheumatoid arthritis.

The pharmacogenomics journal·2017
Same author

Systematic review: genetic biomarkers associated with anti-TNF treatment response in inflammatory bowel diseases.

Alimentary pharmacology & therapeutics·2016
Same author

Healthcare information technology infrastructures in Turkey.

Yearbook of medical informatics·2014
Same author

Polymorphic variants of MnSOD Val16Ala, CAT-262 C < T and GPx1 Pro198Leu genotypes and the risk of laryngeal cancer in a smoking population.

The Journal of laryngology and otology·2013
Same author

Cytochrome P4501A1 genotypes and smoking- and hypertension-related ischemic stroke risk.

Human & experimental toxicology·2012
Same author

Electronic health record interoperability as realized in the Turkish health information system.

Methods of information in medicine·2010

Related Experiment Video

Updated: Jun 25, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

Machine Learning-Based Prediction Models for Cognitive Decline Progression: A Comparative Study in Multilingual

B Ceyhan1, S Bek2, T Önal-Süzek1

  • 1Department of Bioinformatics, Graduate School of Natural and Applied Sciences, Mugla Sitki Kocman University, Mugla 48000, Türkiye.

JAR Life
|May 22, 2024
PubMed
Summary

Early detection of dementia progression in mild cognitive impairment (MCI) is possible using speech analysis. Audio features from spontaneous speech show cross-language potential for tracking cognitive decline, offering a cost-effective solution.

Keywords:
Spontaneous speechdementiamachine learningmental status and dementia testsmild cognitive impairment

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 &#8211; 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

1.0K

Related Experiment Videos

Last Updated: Jun 25, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
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 &#8211; 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

1.0K

Area of Science:

  • Neurology
  • Computational Linguistics
  • Machine Learning

Background:

  • Mild cognitive impairment (MCI) is a precursor to dementia, necessitating early detection for intervention.
  • Dementia impacts cognitive functions, including language and speech, making speech analysis a viable diagnostic tool.
  • Automated speech analysis offers a cost-effective method for monitoring cognitive decline in patients and aiding caregivers.

Purpose of the Study:

  • To investigate the efficacy of audio features from spontaneous speech (SS) in distinguishing cognitive impairment.
  • To analyze the cross-language applicability of speech analysis for cognitive decline detection.
  • To evaluate machine learning models for predicting MCI progression using linguistic and acoustic data.

Main Methods:

  • Utilized spontaneous speech (SS) and Mini Mental Status Examination (MMSE) scores from two datasets: Mugla University Dementia Outpatient Clinic (MUDC) and Alzheimer's Dementia Recognition through Spontaneous Speech (ADRess) challenge.
  • Applied machine learning models, including random forest and multilayer perceptron (MLP), to analyze audio features from SS in both English and Turkish.
  • Assessed language-specific model performance and cross-language transferability.

Main Results:

  • Achieved high accuracy rates: 95% with random forest on the ADRess dataset and 94% with MLP on the MUDC dataset for language-specific models.
  • Demonstrated cross-language effectiveness with accuracies of 72% for English and 76% for Turkish when models were applied to the other language.
  • Highlighted the significant impact of audio features in differentiating cognitive impairment levels across distinct language structures.

Conclusions:

  • Audio features extracted from spontaneous speech possess cross-language potential for automated cognitive impairment tracking.
  • Speech analysis provides a convenient and cost-effective tool for clinicians and patients in monitoring MCI progression.
  • This approach supports early intervention strategies for dementia prevention and management.