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Minimal cognitive impairment (MCI)

Yongming Li, Yuchuan Liu, Pin Wang, Jie Wang, Sha Xu, Mingguo Qiu
OBJECTIVES: Traditional brain age estimation methods are based on the idea that uses the real age as the training label. However, these methods ignore that there is a deviation between the real age and the brain age due to the accelerated brain aging. METHODS: This paper considers this deviation and obtains it by maximizing the correlation between the estimated brain age and the class label rather than by minimizing the difference between the estimated brain age and the real age...
April 24, 2017: Biomedical Engineering Online
Anne-Sophie Vanhoenacker, Bernard Sneyers, Frederik De Keyzer, Sam Heye, Philippe Demaerel
Age-related brain atrophy is a common finding, but neurodegenerative diseases such as Alzheimer's disease are associated with accelerated atrophy of the medial temporal lobe. In current practice for brain atrophy evaluation, several rating scales are being used such as the medial temporal atrophy (MTA), global cortical atrophy-frontal subscale (GCA-F) and posterior atrophy (PA) scales. Practical cut-offs to differentiate between normal and advanced brain atrophy are needed, because of their possible usefulness as a biomarker...
April 10, 2017: Acta Neurologica Belgica
V Boccardi, M Baroni, L Paolacci, S Ercolani, A Longo, M Giordano, C Ruggiero, P Mecocci
OBJECTIVE: The use of drugs with intrinsic anticholinergic properties is widespread among old age persons. A growing body of evidences suggest that a high anticholinergic burden is associated with physical and cognitive impairment. However, the association between anticholinergic drug use and functional status is still poorly investigated, particularly among subjects with initial cognitive impairment. DESIGN: Cross-sectional study examining the association between drug-related anticholinergic burden and functional status in cognitively healthy (CH) (n=691), mild cognitive impairment (MCI) (n=541) or mild Alzheimer's diseases (AD) (n=1127) subjects...
2017: Journal of Nutrition, Health & Aging
Michael L Alosco, Jonathan Duskin, Lilah M Besser, Brett Martin, Christine E Chaisson, John Gunstad, Neil W Kowall, Ann C McKee, Robert A Stern, Yorghos Tripodis
The relationship between late-life body mass index (BMI) and Alzheimer's disease (AD) is poorly understood due to the lack of research in samples with autopsy-confirmed AD neuropathology (ADNP). The role of cerebrovascular disease (CVD) in the interplay between late-life BMI and ADNP is unclear. We conducted a retrospective longitudinal investigation and used joint modeling of linear mixed effects to investigate causal relationships among repeated antemortem BMI measurements, CVD (quantified neuropathologically), and ADNP in an autopsy sample of subjects across the AD clinical continuum...
March 13, 2017: Journal of Alzheimer's Disease: JAD
Siranjeevi Nagaraj, Katarzyna Laskowska-Kaszub, Konrad J Dębski, Joanna Wojsiat, Michał Dąbrowski, Tomasz Gabryelewicz, Jacek Kuźnicki, Urszula Wojda
Alzheimer's disease (AD) is the most common age-related dementia. Among its major challenges is identifying molecular signatures characteristic for the early AD stage in patients with Mild Cognitive Impairment (MCI-AD), which could serve for deciphering the AD pathomechanism and also as non-invasive, easy-to-access biomarkers. Using qRT-PCR we compared the microRNA (miRNA) profiles in blood plasma of 15 MCI-AD patients, whose diagnoses were confirmed by cerebrospinal fluid (CSF) biomarkers, with 20 AD patients and 15 non-demented, age-matched individuals (CTR)...
March 7, 2017: Oncotarget
Ziad Samir Nasreddine, Bhavini Bhovan Patel
UNLABELLED: Objective background: The Montreal Cognitive Assessment (MoCA) is a questionnaire that has been developed to help physicians around the world diagnose a patient's cognitive ability. Available in multiple languages and for use in multiple countries worldwide, the goal of this study was to validate the alternate versions 2 and 3 of the French MoCA test to assist physicians in the detection of mild cognitive impairment (MCI), while decreasing the learning effect upon frequent testing...
September 2016: Canadian Journal of Neurological Sciences. le Journal Canadien des Sciences Neurologiques
Yongming Li, Fan Li, Pin Wang, Xueru Zhu, Shujun Liu, Mingguo Qiu, Jingna Zhang, Xiaoping Zeng
Traditional age estimation methods are based on the same idea that uses the real age as the training label. However, these methods ignore that there is a deviation between the real age and the brain age due to accelerated brain aging. This paper considers this deviation and searches for it by maximizing the separability distance value rather than by minimizing the difference between the estimated brain age and the real age. Firstly, set the search range of the deviation as the deviation candidates according to prior knowledge...
October 7, 2016: Physics in Medicine and Biology
D Facal, O Juncos-Rabadán, J Guardia-Olmos, A X Pereiro, C Lojo-Seoane
OBJECTIVES: Attrition is one of the greatest difficulties in longitudinal studies on cognitive ageing because of the associated risk of underestimating declines. The aims of this paper were to characterize the magnitude and selectivity of attrition in a study of mild cognitive impairment. DESIGN: Forty two patients with multiple-domain amnestic MCI, 71 with single-domain amnestic MCI, 35 with non-amnestic MCI and 318 healthy controls were recruited from primary care centers and assessed at baseline...
2016: Journal of Nutrition, Health & Aging
Yong Zhang, Dongjin Kwon, Pardis Esmaeili-Firidouni, Adolf Pfefferbaum, Edith V Sullivan, Harold Javitz, Victor Valcour, Kilian M Pohl
HIV-Associated Neurocognitive Disorder (HAND) is the most common constellation of cognitive dysfunctions in chronic HIV infected patients age 60 or older in the U.S. Only few published methods assist in distinguishing HAND from other forms of age-associated cognitive decline, such as Mild Cognitive Impairment (MCI). In this report, a data-driven, nonparameteric model to identify morphometric patterns separating HAND from MCI due to non-HIV conditions in this older age group was proposed. This model enhanced the potential for group separation by combining a smaller, longitudinal data set containing HAND samples with a larger, public data set including MCI cases...
December 2016: Human Brain Mapping
Danni Li, Jeffrey R Misialek, Eric Boerwinkle, Rebecca F Gottesman, A Richey Sharrett, Thomas H Mosley, Josef Coresh, Lisa M Wruck, David S Knopman, Alvaro Alonso
INTRODUCTION: Phospholipids are altered in brains of patients with dementia and some studies suggest their plasma levels may be useful in the detection of mild cognitive impairment (MCI) and dementia. METHODS: We measured 188 plasma metabolites in participants who underwent a detailed neuropsychological assessment and classified as normal (n = 153), MCI (n = 145), or dementia (n = 143) by expert adjudication. RESULTS: Among 10 phospholipids recently implicated as altered in dementia, higher concentration of PC aa C36:6 was significantly associated with decreased prevalence of dementia (odds ratio = 0...
2016: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
T H Turner, J B Renfroe, J Elm, A Duppstadt-Delambo, V K Hinson
Ability to identify change is crucial for measuring response to interventions and tracking disease progression. Beyond psychometrics, investigations of Parkinson's disease with mild cognitive impairment (PD-MCI) must consider fluctuating medication, motor, and mental status. One solution is to employ 90% reliable change indices (RCIs) from test manuals to account for account measurement error and practice effects. The current study examined robustness of 90% RCIs for 19 commonly used executive function tests in 14 PD-MCI subjects assigned to the placebo arm of a 10-week randomized controlled trial of atomoxetine in PD-MCI...
November 2016: Applied Neuropsychology. Adult
Charlotta Ryd, Louise Nygård, Camilla Malinowsky, Annika Öhman, Anders Kottorp
INTRODUCTION: The number of older adults living with mild cognitive impairment (MCI) or mild-stage Alzheimer's disease (AD) is increasing and they are often expected to live in their own homes without support, despite limited ability to perform daily life activities. The Everyday Technology Use Questionnaire (ETUQ) has proven to be able to separate these groups and might also have potential to predict overall functional level (need of assistance in daily life activities) among them. AIM: To investigate whether the ETUQ can predict overall functional level among older adults with MCI or mild-stage AD...
March 2017: Scandinavian Journal of Caring Sciences
Maxime François, Michael F Fenech, Philip Thomas, Maryam Hor, Alan Rembach, Ralph N Martins, Stephanie R Rainey-Smith, Colin L Masters, David Ames, Christopher C Rowe, S Lance Macaulay, Andrew F Hill, Wayne R Leifert, The Australian Imaging Biomarkers And Lifestyle Study Research Group
Alzheimer's disease (AD) is a degenerative brain disorder and is the most common form of dementia. Minimally invasive approaches are required that combine biomarkers to identify individuals who are at risk of developing mild cognitive impairment (MCI) and AD, to appropriately target clinical trials for therapeutic discovery as well as lifestyle strategies aimed at prevention. Buccal mucosa cells from the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing cohort (n=60) were investigated for cytological markers that could be used to identify both MCI and AD individuals...
2016: Current Alzheimer Research
Jana Podhorna, Tillmann Krahnke, Michael Shear, John E Harrison
BACKGROUND: Development of new treatments for Alzheimer's disease (AD) has broadened into early interventions in individuals with modest cognitive impairment and a slow decline. The 11-item version of the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) was originally developed to measure cognition in patients with mild to moderate AD. Attempts to improve its properties for early AD by removing items prone to ceiling and/or by adding cognitive measures known to be impaired early have yielded a number of ADAS-Cog variants...
February 12, 2016: Alzheimer's Research & Therapy
Eun Hyun Seo, Sang Hoon Kim, Sang Hag Park, Seong-Ho Kang, Il Han Choo
This study aimed to investigate the independent and interactive influences of apolipoprotein E (APOE) ε4 and beta-amyloid (Aβ) on multiple cognitive domains in a large group of cognitively normal (CN) individuals and patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Participants were included if clinical and cognitive assessments, amyloid imaging, and APOE genotype were all available from the Alzheimer's Disease Neuroimaging Initiative database (CN = 324, MCI = 502, AD = 182). Individuals with one or two copies of ε4 were designated as APOE ε4 carriers (ε4+); individuals with no ε4 were designated as APOE ε4 non-carriers (ε4-)...
February 2016: Journal of Korean Medical Science
Richard E Kennedy, Gary R Cutter, Guoqiao Wang, Lon S Schneider
BACKGROUND: Many post hoc analyses of clinical trials in Alzheimer's disease (AD) and mild cognitive impairment (MCI) are in small Phase 2 trials. Subject heterogeneity may lead to statistically significant post hoc results that cannot be replicated in larger follow-up studies. OBJECTIVE: We investigated the extent of this problem using simulation studies mimicking current trial methods with post hoc analyses based on ApoE4 carrier status. METHODS: We used a meta-database of 24 studies, including 3,574 subjects with mild AD and 1,171 subjects with MCI/prodromal AD, to simulate clinical trial scenarios...
2016: Journal of Alzheimer's Disease: JAD
Félix Bermejo-Pareja, Israel Contador, Rocío Trincado, David Lora, Álvaro Sánchez-Ferro, Alex J Mitchell, Elina Boycheva, Alejandro Herrero, Jesús Hernández-Gallego, Sara Llamas, Alberto Villarejo Galende, Julián Benito-León
BACKGROUND: The predictive value of diverse subtypes of mild cognitive impairment (MCI) for dementia and death is highly variable. OBJECTIVE: To compare the predictive value of several MCI subtypes in progression to dementia and/or mortality in the NEDICES (Neurological Disorders in Central Spain) elderly cohort. METHODS: Retrospect algorithmic MCI subgroups were established in a non-dementia baseline NEDICES cohort using Spanish adaptations of the original Mini-Mental State Examination (MMSE-37) and Pfeffer's Functional Activities Questionnaire (Pfeffer-11)...
2016: Journal of Alzheimer's Disease: JAD
Fevziye Burcu Sirin, Duygu Kumbul Doğuç, Hüseyin Vural, Ibrahim Eren, Ikbal Inanli, Recep Sütçü, Namik Delibaş
BACKGROUND/AIM: F2α-isoprostane is accepted as an oxidative stress indicator and melatonin shows neuroprotective effects by antioxidative and antiamyloidogenic influences. By measuring these in patients diagnosed with minimal cognitive impairment (MCI) and Alzheimer-type dementia, we intended to demonstrate whether the measurement of these markers contributes to early diagnosis of Alzheimer disease (AD) in the MCI stage or not. MATERIALS AND METHODS: Three groups (n = 63) were created: the AD group, MCI group, and control group...
2015: Turkish Journal of Medical Sciences
Helen Hochstetler, Paula T Trzepacz, Shufang Wang, Peng Yu, Michael Case, David B Henley, Elisabeth Degenhardt, Jeannie-Marie Leoutsakos, Constantine G Lyketsos
BACKGROUND: Alzheimer's disease (AD) is associated with variable cognitive and functional decline, and it is difficult to predict who will develop the disease and how they will progress. OBJECTIVE: This exploratory study aimed to define latent classes from participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database who had similar growth patterns of both cognitive and functional change using Growth Mixture Modeling (GMM), identify characteristics associated with those trajectories, and develop a decision tree using clinical predictors to determine which trajectory, as determined by GMM, individuals will most likely follow...
2016: Journal of Alzheimer's Disease: JAD
J C Davis, L Dian, K M Khan, S Bryan, C A Marra, C L Hsu, P Jacova, B K Chiu, T Liu-Ambrose
SUMMARY: Falls are a costly public health problem worldwide. The literature is devoid of prospective data that identifies factors among fallers that significantly drive health care resource utilization. We found that cognitive function--specifically, executive functions--and cognitive status are significant determinants of health resource utilization among older fallers. INTRODUCTION: Although falls are costly, there are no prospective data examining factors among fallers that drive health care resource utilization...
March 2016: Osteoporosis International
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