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mini-mental
847 studies tagged mini-mental, dated 1982-05-01 to 2026-09-16. Bibliography: BibTeX (.bib) · RIS (.ris)
Newest in this topic
- Feasibility of remote self-administered cognitive assessment in an Alzheimer's disease treatment clinic 2026-09-16
- Structural brain imaging for newly diagnosed cognitive impairment by Medicare coverage type 2026-09-15
- Detection and Continuous Monitoring of Memory Dysfunction in Mild Cognitive Impairment and Healthy Aging Through Adaptive Computational Phenotyping 2026-09-12
Studies
847 studies carry this tag.
Date range
1982 to 2026
Top journals
- Neurology 63
- Journal of Alzheimer's disease : JAD 31
- Archives of neurology 30
- Alzheimer s & Dementia 25
- Alzheimer's & dementia : the journal of the Alzheimer's Association 21
315 journals in all.
Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.
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We included 6879 persons (mean 56.1 years, standard deviation 6.2).
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Age, education level, number of pain sites, pain duration, pain level, depression and sleep quality were risk factors of MCI in older patients with chronic pain.
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Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease.
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Among the atrophic brain regions in aMCI, VSTM performance correlated with the volume of the right prefrontal cortex (PFC) but not the medial temporal lobe (MTL), and this correlation was mainly present in patients with greater MTL atrophy.
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All groups showed significantly increased brain-PAD, and the median (IQR) brain-PAD was 4.3 (5.4) years in MCI, 6.3 (6.2) years in AD, and 5.0 (6.5) years in DLB.
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The DMN is the highest coverage of brain network regarding changes in local brain activity in patients with MCI.
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Out of 796 participants, 793 completed the study.
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Among the 1665 AIBL participants (741 [44.5%] female) and 2029 ADNI participants (925 [45.6%] female), the mean (SD) age at first evaluation was 71.8 (7.1) years and 74.5 (6.7) years, respectively.
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Twenty-six participants participated in the formal semi-structured interviews.
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(n = 16,683) had an average age of 69.07 ± 7.34, 72.04% were female, and had an average of 16.66 ± 2.26 years of education.
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57/100
We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI.
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Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cognitive Impairment (MCI), remains challenging due to the overlap of initial symptoms with normal aging processes.
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52/100
Adjudicated AKI, which was largely mild and reversible, was independently associated with increased risk of probable dementia and the composite of probable dementia and MCI in older adults at high cardiovascular risk.
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One of the most challenging tasks for neurologists is the early diagnosis of Alzheimer’s disease (AD).
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<0.001), with key domain correlations ≥0.7 (language, memory, executive).
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Multivariate correlation analysis, which was adjusted for age, sex, and education level, revealed a significant correlation between the two tests in orientation, memory, and attention.
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Mild cognitive impairment (MCI) is an early stage of non-age-related cognitive decline with an increased risk of progressing to dementia.
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• SCD patients showed attenuation of sensory (P1, N1, P2) and cognitive (P300, P600, P900) components, with performance-related gains. • MCI patients exhibited neural compensations, reversing the downward trend observed in SCD, which resulted in a non-monotonic pattern of ERPs. • The progression of cognitive decline was linked to electrophysiological discontinuity, suggesting resilience mechanisms in both low and higher order cognitive regions.
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NPS affects up to 80% of individuals with early AD or MCI, often preceding cognitive decline.
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Sex was not a predictor of the total scores of MoCA.
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When an individual with MCI-LB endorsed more clinical features, they typically experienced a faster cognitive decline (ACE-R Score Difference β = -1.1 [-1.7 to -0.5]), specifically when experiencing visual hallucinations (β = -2.1 [-3.5 to -0.8]) or cognitive fluctuations (β = -3.4 [-4.8 to -2.1]).Individuals with MCI-LB typically acquired more clinical features with the passage of time (25.5% [20.0-32.0%] one-year probability), limiting the prognostic utility of baseline-only features.
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Of 486 older adults who provided consent, 375 (with rMDD, MCI, or both) received at least 1 intervention session (mean [SD] age, 72.2 [6.4] years; 232 women [62%] and 143 men [38%]).
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The MMSE-2 demonstrated robust performance in differentiating participants across Clinical Dementia Rating (CDR) stages and CDR-Sum of Boxes scores.
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Mild cognitive impairment (MCI) is a condition characterized by noticeable deficits in memory retrieval or other cognitive domains than the individuals with the same age but do not significantly interfere with daily functioning.
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Our study highlights the potential of Decipher‐AI for screening undiagnosed cognitive impairment in primary care.
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Our study highlights the potential of Decipher‐AI for screening undiagnosed cognitive impairment in primary care.
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Neighborhood deprivation is associated with Future research should investigate the possible mechanisms of this association to identify optimal interventions at the neighborhood level.
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In the testing cohort, the super learner obtained a concordance statistic (95% confidence interval) of 0.822 (0.810, 0.835), higher than any of the individual ML models (Figure 1), and its predicted risk aligned with observed risk in calibration slope plots (Figure 2).
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In this cohort, several community‐wide social/environmental factors were associated with MCI.
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At baseline, no significant difference (P > .05) existed between the groups in the scores: (1) for cognitive function on the MMSE or MoCA, (2) for the physiological, psychological, social, and environmental domains and the total score on the WHOQOL-BREF, or (3) for self-efficacy on the GSES scores.
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Considering the significant impact of dementia, the Italian Ministry of Health entrusted the Italian National Institute of Health (Istituto Superiore di Sanità) with the development of a guideline within the Italian National Guideline System (Sistema Nazionale Linee Guida, SNLG) on the diagnosis and treatment of dementia and MCI.
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A total of 844 eligible individuals were consecutively approached, 294 consented to participate, and 204 completed the study (mean [SD] age, 70.0 [5.1] years; 127 women [62.3%]).
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63/100
It remains unclear which risk factors accelerate brain atrophy along with a progression from normal cognition to mild cognitive impairment (MCI).
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68/100
Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) cognitive continuum.
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We constructed models for MCI and mild dementia that predict MMSE over time.
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Fifty-one AD patients enrolled, mean age 73.5.
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Environmental Burden Rank (EBR) across the sample (0.53±0.32) was near the 50th percentile nationally.
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Dementia is a common medical condition in the ageing population, and cognitive intervention is a non-pharmacologic strategy to improve cognitive functions.
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DCR outperforms the MMSE in detecting and classifying cognitive impairment-in a fraction of the time-while being not influenced by a patient's ethnicity.
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This meta-analysis pooled 14 studies of the Mini-Cog, a 3-minute memory-and-clock-drawing test doctors can give in a routine visit, to see how well it catches dementia.
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Among Medicare beneficiaries from 2008 to 2018, AD incidence generally decreased while MCI increased.
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Among Medicare beneficiaries from 2008 to 2018, AD prevalence was generally stable, while MCI increased.
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The average detection rates for mild cognitive impairment is 0.08 (interquartile range=0.00-0.02) for both clinicians and practices, suggesting that only about 8% of expected cases were diagnosed on average.
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This study included patients with clinical SCD and SCD-free, healthy control (HC) participants with available baseline CSF and/or longitudinal cognitive data from the observational DZNE Longitudinal Cognitive Impairment and Dementia study.
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Disease-modifying drug use necessitates better Alzheimer disease (AD) detection.
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These results highlight the need to increase the overall detection rates of MCI and of dementia particularly in socioeconomically disadvantaged groups.
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The machine learning model developed in this study demonstrated strong classification performance in detecting and differentiating depression, anxiety, and apathy.
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Over 78 million people will suffer from dementia by 2030, emphasizing the need for early identification of patients with mild cognitive impairment (MCI) at risk, and personalized clinical evaluation steps to diagnose potentially reversible causes.
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In peripheral blood, the overall pooled results showed no significant difference in LCN2 across Alzheimer's disease (AD), MCI and control groups.
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For automatic EEG diagnosis, this paper presents a new EEG data set with well-organized clinical annotations called Chung-Ang University Hospital EEG (CAUEEG), which has event history, patient's age, and corresponding diagnosis labels.
From across this tag
9 of the 846 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 9. The same 9 appear here every time.
- How predictive is the MMSE for cognitive performance after stroke?
- Use of Speech Analyses within a Mobile Application for the Assessment of Cognitive Impairment in Elderly People
- Computerized Cognitive Training in Older Adults With Mild Cognitive Impairment or Dementia: A Systematic Review and Meta-Analysis
- Application of mini-mental state examination and Montreal Cognitive Assessment in the diagnosis of dementia with Lewy bodies and Alzheimer’s disease
- Progression of mild cognitive impairment to dementia in clinic- vs community-based cohorts
- A Four‐Arm Randomized Controlled Trial on the Effects of Multi‐Dimensional Cognitive Intervention in Parkinson's Disease Patients with Mild Cognitive Impairment and Subjective Cognitive Decline (REMIND)
- Frailty and cognitive impairment--a review of the evidence and causal mechanisms
- Time‐dependent biomarker accuracy in forecasting mild cognitive impairment
- Transition from mild cognitive impairment to normal cognition: Determining the predictors of reversion with multi-state Markov models