Cíl: Cílem výzkumu bylo posouzení kognitivních funkcí u seniorů v domovech pro seniory prostřednictvím standardizovaných testů – Montrealský kognitivní test (MoCA) a Pojmenování obrázků a jejich vybavení (POBAV). Metodika: Výzkum zahrnoval 76 klientů ze tří domovů pro seniory. Hodnocení kognitivních funkcí bylo provedeno standardizovanými testy MoCA a POBAV (ježková verze). Statistické zpracování bylo provedeno na hladině významnosti a = 0,05. Výsledky: Průměrný skór v MoCA byl 20 bodů, průměrné výsledky u POBAV byly 3/5. Normální kognitivní stav mělo dle MoCA (při hraničním skóre ≤ 24 bodů) 21 % seniorů a dle POBAV dosáhlo normy 25 % dotázaných. U obou testů MoCA a POBAV nebyl zjištěn statisticky významný rozdíl v úrovni kognitivních funkcí v závislosti na pohlaví, vzdělání ani na délce pobytu v domově pro seniory. Byl však prokázán statisticky významný rozdíl v úrovni kognitivních funkcí v závislosti na věku, kognitivním tréninku i na kondičním cvičení a bylo zjištěno, že osoby absolvující kognitivní trénink a kondiční cvičení dosahují v obou testech lepších výsledků. Byla potvrzena shoda v detekci kognitivní poruchy pomocí MoCA a POBAV v 97 % případů. Mezi testy MoCA a POBAV byla zjištěna významná korelace. Pearsonův korelační koeficient mezi testy MoCA a POBAV – Chyby v pojmenování obrázků, znázorňuje negativní korelaci –0,625 (p < 0,001). Pearsonův korelační koeficient mezi testy MoCA a POBAV – Správně vybavené obrázky, představuje pozitivní korelaci 0,86 (p < 0,001). Závěr: Časný záchyt a monitoring kognitivního deficitu pomocí screeningových testů by měly být nedílnou součástí při poskytování dlouhodobé péče u seniorů. Test POBAV je vhodnou volbou pro včasný záchyt kognitivního deficitu a může sloužit jako srovnatelná alternativa testu MoCA.

Aim: The aim of the research was to assess cognitive functions of elderly people in nursing homes using standardized tests – Montreal Cognitive Assessment (MoCA) and Picture Naming and Immediate Recall (PICNIR). Methodology: The study included 76 clients from three nursing homes. The assessment of cognitive functions was carried out using the standardized tests MoCA and PICNIR (Hedgehog Version). Statistical processing was performed at a significance level of α = 0.05. Results: The average score in MoCA was 20 points, and the average results in PICNIR were 3/5. According to MoCA (with a threshold score of ≤ 24 points), 21% of elderly people had a normal cognitive state, and according to PICNIR, 25% of respondents reached the norm. No statistically significant difference in the level of cognitive functions was found in either the MoCA or PICNIR tests in relation to sex, education, or length of stay in the nursing home. However, a statistically significant difference in the level of cognitive functions was demonstrated in relation to age, cognitive training, and physical exercise, and it was found that individuals undergoing cognitive training and physical exercise achieved better results in both tests. A concordance in the detection of cognitive impairment using MoCA and PICNIR was confirmed in 97% of cases. A significant correlation was found between the MoCA and PICNIR tests. The Pearson correlation coefficient between MoCA and PICNIR – Mistakes in Naming demonstrated a negative correlation of –0.625 (P < 0.001). The Pearson correlation coefficient between MoCA and PICNIR – Correctly Recalled Picture Names indicated a positive correlation of 0.86 (P < 0.001). Conclusion: Early detection and monitoring of cognitive deficits using screening tests should be an integral part of providing long-term care for elderly people. The PICNIR test is a suitable choice for early detection of cognitive deficits and can serve as a comparable alternative to the MoCA test.

• MeSH
• Homes for the Aged statistics & numerical data   MeSH
• Epidemiologic Studies MeSH
• Cognition MeSH
• Correlation of Data MeSH
• Humans MeSH
• Neurocognitive Disorders * diagnosis   epidemiology   MeSH
• Neuropsychological Tests * statistics & numerical data   MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Mental Status and Dementia Tests statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH

Pochopení vztahu mezi senzomotorickými proměnnými a exerkiny, které ovlivňují funkci mozku a kognici, nám umožňuje hlouběji porozumět biologickému procesu stárnutí. Hlavním cílem této studie bylo zjistit, jak silně jsou mozkový neurotrofický faktor (brain-derived neurotrophic factor, BDNF), irisin, svalová hmota a svalová síla asociovány s výsledky testů vybraných kognitivních funkcí u starších žen a jak dobře je predikují. Padesát sedm starších žen (průměrný věk 70,4 ± 4,1 roku) absolvovalo baterii neuropsychologických testů, měření izometrické dynamometrie a bioelektrické impedance. Hladiny v krevním séru sledovaných exerkinů byly stanoveny enzymatickým imunosorbentním testem (ELISA). Pro testování predikcí byly využity hierarchické vícenásobné regresní modely. Odhadli jsme, že rozptyl 46,1 % v krátkodobé paměti byl zapříčiněn hladinami BDNF v séru, přičemž druhým statisticky významným prediktorem byl věk (beta = –0,22; p = 0,030). Síla dolních končetin (lower limb strength, LLS) prokázala významnou prediktivní sílu jak u paměti – bezprostřední vybavení (beta = 0,39; p = 0,004), tak u paměti – oddálené vybavení (beta = 0,45; p = 0,001). Hladiny BDNF v séru byly významným prediktorem u oddáleného vybavení (beta = 0,29; p = 0,048). Přidání hladin BDNF do modelu prokázalo významné zvýšení jeho prediktivní síly o přibližně 5,6 % (p = 0,048) u paměti – oddálené vybavení. Index kosterní svalové hmoty (skeletal muscle index, SMI) a úroveň vzdělání byly významnými prediktory mentální flexibility. Byla zjištěna silná pozitivní asociace mezi hladinami BDNF, irisinem, svalovou silou a kognitivní funkcí, přičemž irisin a svalová síla jsou silnými prediktory hladin BDNF u starších žen. Studie byla realizována s podporou grantu Univerzity Karlovy – PRIMUS/19/HUM/012, Specifického vysokoškolského výzkumu SVV 260599, projektu COOPERATIO a Grantové agentury UK číslo grantu 268321. Korespondenční adresa: PhDr. Veronika Holá Katedra gymnastiky a úpolových sportů FTVS UK José Martího 269/31 162 52 Praha 6-Veleslavín e-mail: veronika.hola@ftvs.cuni.cz

Understanding the relationship between sensorimotor variables and exerkines related to brain function and cognition may help better understand biological ageing. The main aim of this study was to determine how strongly brain-derived neurotrophic factor (BDNF), irisin, muscle mass and muscle strength are associated and predict scores on selected cognitive domain tests in older women. Fifty seven older women (mean age 70.4 ± 4.1 years) underwent a battery of cognitive and psychological tests and measurements of isometric dynamometry and bioelectrical impedance. Serum exerkines levels were measured by enzyme-linked immunosorbent assay (ELISA). Hierarchical multiple regression models were used to test the predictions. We estimated that 46.1% of the variance in short-term memory was accounted for by serum BDNF levels, with age being the second statistically significant predictor (Beta = -0.22; p = 0.030). Lower limb strength (LLS) showed significant predictive power in both immediate (Beta = 0.39; p = 0.004) and delayed memory (Beta = 0.45; p = 0.001), serum BDNF levels were a significant predictor in delayed memory (Beta = 0.29; p = 0.048). Adding serum BDNF levels to the model showed a significant increase in predictive power of approximately 5.6% (p = 0.048) in delayed memory. Skeletal muscle index (SMI) and education level were significant predictors of mental flexibility. A strong positive association between BDNF levels, irisin, muscle strength, and cognitive function was found, with irisin and muscle strength being strong predictors of BDNF levels in older women.

• Keywords
• irisin,
• MeSH
• Fibronectin Type III Domain physiology   MeSH
• Cognition physiology   MeSH
• Cognitive Aging * physiology   MeSH
• Humans MeSH
• Brain-Derived Neurotrophic Factor blood   MeSH
• Neuropsychological Tests * statistics & numerical data   MeSH
• Memory physiology   MeSH
• Prognosis MeSH
• Cross-Sectional Studies MeSH
• Regression Analysis MeSH
• Aged MeSH
• Muscular Atrophy etiology   MeSH
• Muscle Strength physiology   MeSH
• Check Tag
• Humans MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH

BACKGROUND: Semantic and short-term episodic memory are impaired in some brain disorders including Alzheimer's disease. OBJECTIVE: Development and validation of an almost self-administered, but cognitively demanding four-minute test identifying very mild cognitive impairment (vMCI). METHODS: The innovative hedgehog PICture Naming and Immediate Recall (PICNIR) consisted of two parts. The first task was to write down the names of 20 black-and-white pictures to evaluate long-term semantic memory and language. The second task involves immediate recall and writing the names of as many previously named pictures as possible in one minute. The PICNIR is assessed using the number of naming errors (NE) and correctly recalled picture names (PICR). The PICNIR and a neuropsychological battery were administered to 190 elderly individuals living independently in the community. They were divided into those with vMCI (n = 43 with Montreal Cognitive Assessment (MoCA) 24 ± 3 points) and sociodemographically matched cognitively normal (CN) individuals (n = 147 with MoCA 26 ± 3). Both subgroups had predicted mean Mini-Mental State Examination scores of 28-29 points. RESULTS: Compared to CN, vMCI participants made more NE (0.3 ± 0.6 versus 0.6 ± 0.9; p = 0.02) and recalled fewer PICR (8.9 ± 2.2 versus 6.8 ± 2.2; p < 0.000001). Discriminative validity was satisfactory using the area under the ROC curve (AUC): 0.76 for PICR, 0.74 for MoCA, 0.67 for MoCA-five-word recall, and 0.59 for NE. The AUCs of PICR and MoCA were comparable and larger than those of MoCA five-point recall or NE. Logical Memory scores, RAVLT scores, Digit symbol, and animal fluency correlated with PICR. CONCLUSIONS: The picture-based PICNIR is an ultra-brief, sensitive cognitive test valid for assessing very mild cognitive impairment. Its effectiveness should be validated for other languages and cultures.

• MeSH
• Memory, Episodic * MeSH
• Cognitive Dysfunction * diagnosis   psychology   MeSH
• Memory, Short-Term physiology   MeSH
• Humans MeSH
• Neuropsychological Tests * statistics & numerical data   MeSH
• Reproducibility of Results MeSH
• Mental Recall * physiology   MeSH
• Semantics MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Mental Status and Dementia Tests statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

OBJECTIVE: This study aims to evaluate the efficacy of the Uniform Data Set (UDS) 2 battery in distinguishing between individuals with mild cognitive impairment (MCI) attributable to Alzheimer's disease (MCI-AD) and those with MCI due to other causes (MCI-nonAD), based on contemporary AT(N) biomarker criteria. Despite the implementation of the novel UDS 3 battery, the UDS 2 battery is still used in several non-English-speaking countries. METHODS: We employed a cross-sectional design. A total of 113 Czech participants with MCI underwent a comprehensive diagnostic assessment, including cerebrospinal fluid biomarker evaluation, resulting in two groups: 45 individuals with prodromal AD (A+T+) and 68 participants with non-Alzheimer's pathological changes or normal AD biomarkers (A-). Multivariable logistic regression analyses were employed with neuropsychological test scores and demographic variables as predictors and AD status as an outcome. Model 1 included UDS 2 scores that differed between AD and non-AD groups (Logical Memory delayed recall), Model 2 employed also Letter Fluency and Rey's Auditory Verbal Learning Test (RAVLT). The two models were compared using area under the receiver operating characteristic curves. We also created separate logistic regression models for each of the UDS 2 scores. RESULTS: Worse performance in delayed recall of Logical Memory significantly predicted the presence of positive AD biomarkers. In addition, the inclusion of Letter Fluency RAVLT into the model significantly enhanced its discriminative capacity. CONCLUSION: Our findings demonstrate that using Letter Fluency and RAVLT alongside the UDS 2 battery can enhance its potential for differential diagnostics.

• MeSH
• Alzheimer Disease * diagnosis   cerebrospinal fluid   MeSH
• Amyloid beta-Peptides cerebrospinal fluid   MeSH
• Biomarkers * cerebrospinal fluid   MeSH
• Diagnosis, Differential MeSH
• Cognitive Dysfunction * diagnosis   etiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Neuropsychological Tests * standards   statistics & numerical data   MeSH
• tau Proteins cerebrospinal fluid   MeSH
• Cross-Sectional Studies MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cieľom výskumu bolo analyzovať heterogenitu kognitívneho deficitu u ľudí závislých od alkoholu a identifikovať empirické typy, ktoré sa líšia v miere oslabenia kognitívnych funkcií v doménach pamäť, pozornosť, jazyk a reč, exekutívne funkcie a psychomotorické tempo. Výskumu sa zúčastnilo 53 pacientov v procese liečby závislosti od alkoholu hospitalizovaných v Odbornom liečebnom ústave psychiatrickom n.o. na Prednej Hore vo veku od 19 do 55 rokov. Na posúdenie kognitívnych výkonov boli použité Test verbálnej fluencie, Pamäťový test učenia slov, Test kódovania symbolov, Test opakovania čísel odpredu a odzadu, Test cesty a Batéria frontálnych funkcií. Pomocou klastrovej analýzy sme identifikovali nasledujúce 4 typy participantov: 1. participanti so zachovanými kognitívnymi funkciami a s kognitívnou rezervou, 2. participanti bez kognitívneho deficitu, 3. participanti s miernym oslabením exekutívnych funkcií, 4. participanti s globálnym kognitívnym deficitom. Z hľadiska vecnej významnosti boli medzi skupinami zistené nezanedbateľné rozdiely z hľadiska veku, vzdelania a dĺžky excesívneho pitia. Výsledky výskumu poukazujú na heterogenitu kognitívneho deficitu u ľudí závislých od alkoholu a možnosť identifikácie viacerých podskupín, ktoré sa z kvantitatívneho aj kvalitatívneho hľadiska líšia v miere oslabenia kognitívnych funkcií.

The aim of the research was to analyze the heterogeneity of cognitive deficit in people with alcohol use disorders and to identify empirical types that differ in the degree of cognitive impairment across the domains of memory, attention, language and speech, executive function, and psychomotor speed. The study involved 53 patients in the process of treatment of alcohol use disorders hospitalized in the Specialized Psychiatric Institute in Predná Hora aged 19 to 55 years. Word Fluency Test, Auditory Verbal Learning Test, Symbol Encoding Test, Forward and Backward Digit Span Test, Trail Making Test and Frontal Assessment Battery were used to quantify cognitive performance. Using cluster analysis, we identified the following 4 types of participants: 1. participants with preserved cognitive functions and cognitive reserve, 2. participants without cognitive deficit, 3. participants with an incipient mild impairment of executive functioning, 4. participants with a global cognitive deficit. In terms of substantive significance, significant differences were found between the groups in terms of age, education and duration of excessive drinking. The results of this study shed light on the heterogeneity of cognitive deficits in people with alcohol use disorders, and the possibility of identifying several subgroups that differ quantitatively and qualitatively in their degree of cognitive impairment

• MeSH
• Alcoholism psychology   MeSH
• Adult MeSH
• Empirical Research MeSH
• Inpatients * classification   MeSH
• Cognitive Dysfunction * MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Neuropsychological Tests statistics & numerical data   MeSH
• Alcohol-Related Disorders * psychology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH

INTRODUCTION: Loneliness has a rising public health impact, but research involving neuropathology and representative cohorts has been limited. METHODS: Inverse odds of selection weights were generalized from the autopsy sample of Rush Alzheimer's Disease Center cohorts (N = 680; 89 ± 9 years old; 25% dementia) to the US-representative Health and Retirement Study (N = 8469; 76 ± 7 years old; 5% dementia) to extend external validity. Regressions tested cross-sectional associations between loneliness and (1) Alzheimer's disease (AD) and cerebrovascular pathology; (2) five cognitive domains; and (3) relationships between pathology and cognition, adjusting for depression. RESULTS: In weighted models, greater loneliness was associated with microinfarcts, lower episodic and working memory in the absence of AD pathology, lower working memory in the absence of infarcts, a stronger association of infarcts with lower episodic memory, and a stronger association of microinfarcts with lower working and semantic memory. DISCUSSION: Loneliness may relate to AD through multiple pathways involving cerebrovascular pathology and cognitive reserve. HIGHLIGHTS: Loneliness was associated with worse cognition in five domains. Loneliness was associated with the presence of microinfarcts. Loneliness moderated cognition-neuropathology associations. Transportability methods can provide insight into selection bias.

• MeSH
• Alzheimer Disease * psychology   pathology   MeSH
• Cerebrovascular Disorders * psychology   pathology   MeSH
• Cognition * physiology   MeSH
• Humans MeSH
• Neuropsychological Tests statistics & numerical data   MeSH
• Loneliness * psychology   MeSH
• Cross-Sectional Studies MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cíl: Cílem studie bylo prozkoumat souvislost mezi rychlostí chůze s výsledky Montrealského kognitivního testu (MoCA) u pacientů s kognitivním poklesem v porovnání s kontrolní skupinou. Soubor a metodika: Výzkumu se zúčastnilo celkem 50 probandů, kteří byli kategorizováni pomocí MoCA do experimentální skupiny složené z 25 probandů (69,6 ± 9,4) s kognitivním poklesem (MoCA ≤ 25) a kontrolní skupiny s 25 kognitivně intaktními probandy (MoCA ≥ 26) v průměrném věku 59,5 ± 7,0. Ke klinickému vyšetření probandů byl využit Stroop Color and Word test, Beckova stupnice pro posuzování závažnosti deprese, standardizovaný dotazník rizika pádů (Short FES-I) a dotazník kvality života Short Form-36 (SF-36). Probandi byli požádáni, aby provedli test chůze na 10 m (10 MWT) v náhodném pořadí ve dvou podmínkách: 10 MWT při samostatně zvolené konstantní rychlosti chůze, 10 MWT při maximální zvolené rychlosti chůze. Výsledky: Dle Mann-Whitneyho testu byl prokázán statisticky významný pokles rychlosti chůze na 10 m komfortní rychlostí (p = 0,028 < 0,05) a na 10 m maximální rychlostí (p = 0,011 < 0,05) u skupiny s kognitivním poklesem (MoCA ≤ 25) oproti kognitivně intaktní kontrolní skupině (MoCA ≥ 26). Závěr: V naší studii byl zjištěn významný pokles komfortní i maximální rychlosti chůze během 10 MWT u starších jedinců s kognitivním poklesem.

Aim: The aim of the study is the association between walking speed and the results of the Montreal Cognitive Test (MoCA) in elderly people with cognitive decline compared to the control group. Methods: A total of 50 participants took part in the research, and were categorized using the MoCA into an experimental group consisting of 25 elderly people (69.6 ± 9.4) with cognitive decline (MoCA ≤ 25) and a control group with 25 cognitively intact elderlypeople (MoCA ≥ 26) at an average age of 59.5 ± 7.0 years. The Stroop Color and Word test, the Beck Depression Rating Scale (BDI-I), the standardized Short Falls Efficacy Scale International (Short FES-I) and the 36-Item Short Form Survey (SF-36) were used for the clinical examination. The participants were asked to perform a 10-metre walk test (10 MWT) in a randomized order in two conditions: 10 MWT at a self-selected constant speed, 10 MWT at a maximum gait speed. Results: According to the Mann-Whitney test, a statistically significant decrease in walking speed for 10 meters at a comfortable speed (P = 0.028 < 0.05) and for 10 meters at a maximum speed (P = 0.011 < 0.05) was demonstrated in the group with cognitive decline (MoCA ≤ 25) versus the cognitively intact control group (MoCA ≥ 26). Conclusion: Our study identified a significant decrease in comfortable and maximum walking speed during 10 MWT in older people with a cognitive decline.

• MeSH
• Cognitive Dysfunction * MeSH
• Humans MeSH
• Neuropsychological Tests statistics & numerical data   MeSH
• Walking Speed * MeSH
• Aged MeSH
• Statistics as Topic MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Clinical Study MeSH

Cognitive impairment has a significant impact on the quality of life of MS patients. It leads to impairment in social activities, physical independence, ability to manage daily activities, ability to take regular medication and employment. The aim of modern treatment should not only be to achieve stabilisation of the disease, but also to improve cognitive function and therefore employment. This article presents recent information on the positive effect of ocrelizumab treatment on these parameters.

• Keywords
• okrelizumab, studie CASTING, Symbol Digit Modalities Test,
• MeSH
• Antibodies, Monoclonal, Humanized administration & dosage   pharmacology   therapeutic use   MeSH
• Administration, Intravenous MeSH
• Cognition * physiology   drug effects   MeSH
• Humans MeSH
• Multicenter Studies as Topic MeSH
• Neuropsychological Tests statistics & numerical data   MeSH
• Prospective Studies MeSH
• Multiple Sclerosis, Relapsing-Remitting * drug therapy   MeSH
• Employment statistics & numerical data   MeSH
• Check Tag
• Humans MeSH

Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary care. Artificial neural networks (ANNs) are suitable to design computed aided diagnostic systems because of their features of generating relationships between variables and their learning capability. The main aim pursued in that work is to explore the ability of a hybrid ANN-based system in order to provide a tool to assist in the clinical decision-making that facilitates a reliable MCI estimate. The model is designed to work with variables usually available in primary care, including Minimental Status Examination (MMSE), Functional Assessment Questionnaire (FAQ), Geriatric Depression Scale (GDS), age, and years of education. It will be useful in any clinical setting. Other important goal of our study is to compare the diagnostic rendering of ANN-based system and clinical physicians. A sample of 128 MCI subjects and 203 controls was selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI). The ANN-based system found the optimal variable combination, being AUC, sensitivity, specificity, and clinical utility index (CUI) calculated. The ANN results were compared with those from medical experts which include two family physicians, a neurologist, and a geriatrician. The optimal ANN model reached an AUC of 95.2%, with a sensitivity of 90.0% and a specificity of 84.78% and was based on MMSE, FAQ, and age inputs. As a whole, physician performance achieved a sensitivity of 46.66% and a specificity of 91.3%. CUIs were also better for the ANN model. The proposed ANN system reaches excellent diagnostic accuracy although it is based only on common clinical tests. These results suggest that the system is especially suitable for primary care implementation, aiding physicians work with cognitive impairment suspicions.

• MeSH
• Databases, Factual statistics & numerical data   MeSH
• Diagnosis, Computer-Assisted methods   statistics & numerical data   MeSH
• Cognitive Dysfunction diagnosis   psychology   MeSH
• Humans MeSH
• Neural Networks, Computer * MeSH
• Neuropsychological Tests * statistics & numerical data   MeSH
• Area Under Curve MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Sensitivity and Specificity MeSH
• Case-Control Studies MeSH
• Decision Support Systems, Clinical * statistics & numerical data   MeSH
• Computational Biology MeSH
• Check Tag
• Humans MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH

Some people aged 80 years and older are "memory SuperAgers" (SAs), that is, they have the episodic memory of a sexagenarian. In a sample of 208 non-demented adults, we found that 12% were SAs. A total of 101 participants completed the 4-year study; of this subsample, 10.9% were stable SAs and 61.3% stable non-SAs across all assessments. The SA phenotype is conducive to further research.

• MeSH
• Memory, Episodic * MeSH
• Cognition * MeSH
• Humans MeSH
• Neuropsychological Tests statistics & numerical data   MeSH
• Aged, 80 and over MeSH
• Aging * MeSH
• Healthy Volunteers statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Female MeSH
• Publication type
• Journal Article MeSH