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Related Concept Videos

Dementia l: Introduction01:22

Dementia l: Introduction

Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...
Dementia01:30

Dementia

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.

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Related Experiment Video

Updated: Jul 16, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Improving dementia assessment by reducing sample heterogeneity.

Marshal Folstein1

  • 1Tufts University School of Medicine, Boston, Massachusetts, USA. mfolstein@rcn.com

International Psychogeriatrics
|March 27, 2007
PubMed
Summary

Enhance dementia trials with cognitive tests like the Mini-mental State Examination (MMSE) and Hopkins Verbal Learning Test (HVLT). Reducing sample heterogeneity using risk factor inventories can boost statistical power and identify drug responders.

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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

Related Experiment Videos

Last Updated: Jul 16, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

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

Area of Science:

  • Neuroscience
  • Clinical Trials
  • Biostatistics

Background:

  • Clinical dementia trials require robust outcome assessments.
  • Current methods may not fully capture disease heterogeneity.
  • Improving statistical power is crucial for trial success.

Purpose of the Study:

  • To propose enhanced outcome assessment strategies for clinical dementia trials.
  • To identify methods for reducing sample heterogeneity to increase statistical power.

Main Methods:

  • Utilizing cognitive assessments: Mini-mental State Examination (MMSE) and Hopkins Verbal Learning Test (HVLT).
  • Integrating neuroimaging and genetic screening.
  • Administering a risk factor inventory for subject selection.

Main Results:

  • MMSE and HVLT can improve outcome assessment.
  • Risk factor inventories can reduce sample heterogeneity.
  • Reduced heterogeneity increases statistical power and aids in selecting drug responders.

Conclusions:

  • Combining cognitive tests, imaging, and genetic screening enhances dementia trial outcomes.
  • Risk factor inventories are valuable tools for optimizing clinical trial design and subject selection.