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The mini-mental state examination (MMSE) or Folstein test is a brief 30-point questionnaire test that is used to screen for cognitive impairment. It is commonly used in medicine to screen for dementia. It is also used to estimate the severity of cognitive impairment at a given point in time and to follow the course of cognitive changes in an individual over time, thus making it an effective way to document an individual's response to treatment.


MMSE, Folstein test

Definition contributed by Anonymous
Mini Mental State Examination has been asserted to measure the following CONCEPTS
Phenotypes associated with Mini Mental State Examination


Alzheimer disease


No associations have been added.


No associations have been added.

IMPLEMENTATIONS of Mini Mental State Examination
No implementations have been added.
EXTERNAL DATASETS for Mini Mental State Examination
No implementations have been added.

Experimental conditions are the subsets of an experiment that define the relevant experimental manipulation.


You must specify conditions before you can define contrasts.

In the Cognitive Atlas, we define a contrast as any function over experimental conditions. The simplest contrast is the indicator value for a specific condition; more complex contrasts include linear or nonlinear functions of the indicator across different experimental conditions.

score (accuracy)

An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).


Folstein MF, Folstein SE, McHugh PR
(J Psychiatr Res)
1975 Nov

Detecting dementia with the mini-mental state examination in highly educated individuals.
O'Bryant SE, Humphreys JD, Smith GE, Ivnik RJ, Graff-Radford NR, Petersen RC, Lucas JA
Archives of neurology (Arch Neurol)
2008 Jul

A multistate model of cognitive dynamics in relation to frailty in older adults.
Mitnitski A, Fallah N, Rockwood K
Annals of epidemiology (Ann Epidemiol)
2011 Jul