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Mild cognitive impairment

Nicholas J Ashton, Mark Ide, Michael Schöll, Kaj Blennow, Simon Lovestone, Abdul Hye, Henrik Zetterberg
There is a need for an accessible biomarker that can complement current cerebrospinal fluid and imaging biomarkers in an accurate and early diagnosis of Alzheimer disease (AD). Saliva is a rich source of potential biomarkers and proteins related to neurodegenerative disorders have been shown to be present in this matrix, including tau. In this study, we quantified salivary total tau (t-tau) concentration in 160 healthy elderly control, 68 mild cognitive impairment, and 53 AD participants using ultrasensitive Single molecule array (Simoa) technology...
June 20, 2018: Neurobiology of Aging
Zhihui Li, Xin Peng, Wei Xiang, Jiaqi Han, Kun Li
BACKGROUND: Aging is often accompanied by decline in aspects of cognitive function. Cognitive decline has harmful effects on living independence and general health. Resistance training is seen as a promising intervention to prevent or delay cognitive deterioration, yet the evidence from reviews is less consistent. AIM: To assess the effect of resistance training on cognition in the elderly with and without mild cognitive impairment and to provide an up-to-date overview...
July 13, 2018: Aging Clinical and Experimental Research
Nare Torosyan, Chakmeedaj Sethanandha, Joshua D Grill, Michelle L Dilley, Jooyeon Lee, Jeffrey L Cummings, Celine Ossinalde, Daniel H Silverman
BACKGROUND: Caprylidene is a ketogen that, when metabolized, produces the ketones beta-hydroxybutyrate and acetoacetate, which can cross the blood brain barrier. It has been hypothesized that ketone bodies can be used as an alternate energy source by neurons with impaired glucose utilization. Caprylidene has been shown to improve cognition in patients with mild-to-moderate Alzheimer's disease (AD) who lacked an AD-predisposing allele (ɛ4) of the gene for apolipoprotein E. In this pilot study, we examined the effects of caprylidene on regional cerebral blood flow (rCBF) in patients with mild to moderate AD...
July 10, 2018: Experimental Gerontology
Jeremy A Elman, Amy J Jak, Matthew S Panizzon, Xin M Tu, Tian Chen, Chandra A Reynolds, Daniel E Gustavson, Carol E Franz, Sean N Hatton, Kristen C Jacobson, Rosemary Toomey, Ruth McKenzie, Hong Xian, Michael J Lyons, William S Kremen
Introduction: Longitudinal testing is necessary to accurately measure cognitive change. However, repeated testing is susceptible to practice effects, which may obscure true cognitive decline and delay detection of mild cognitive impairment (MCI). Methods: We retested 995 late-middle-aged men in a ∼6-year follow-up of the Vietnam Era Twin Study of Aging. In addition, 170 age-matched replacements were tested for the first time at study wave 2. Group differences were used to calculate practice effects after controlling for attrition effects...
2018: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Rebecca J Melrose, Amy M Jimenez, Hannah Riskin-Jones, Gali Weissberger, Joseph Veliz, Arpi S Hasratian, Stacy Wilkins, David L Sultzer
Poor executive functioning increases risk of decline in Mild Cognitive Impairment (MCI). Executive functioning can be conceptualized within the framework of working memory. While some components are responsible for maintaining representations in working memory, the central executive is involved in the manipulation of information and creation of new representations. We aimed to examine the neural correlates of these components of working memory using a maintenance working memory and visuospatial reasoning task...
2018: NeuroImage: Clinical
K Conwell, B von Reutern, N Richter, J Kukolja, G R Fink, O A Onur
In recent years, changes in resting-state networks (RSN), identified by functional magnetic resonance imaging (fMRI), have gained increasing attention as potential biomarkers and trackers of neurological disorders such as Alzheimer's disease (AD). Intersession reliability of RSN is fundamental to this approach. In this study, we investigated the test-retest reliability of three memory related RSN (i.e., the default mode, salience, and executive control network) in 15 young, 15 healthy seniors (HS), and 15 subjects affected by mild cognitive impairment (MCI) with positive biomarkers suggestive of incipient AD (6 females each)...
2018: NeuroImage: Clinical
Xiaozheng Liu, Jiuzun Chen, Bangli Shen, Gang Wang, Jiapeng Li, Hongtao Hou, Xingli Chen, Zhongwei Guo, Chuanwan Mao
Neuroimaging studies have demonstrated that major depressive disorder increases the risk of dementia in older individuals with mild cognitive impairment. We used resting-state functional magnetic resonance imaging to explore the intrinsic coupling patterns between the amplitude and synchronisation of low-frequency brain fluctuations using the amplitude of low-frequency fluctuations (ALFF) and the functional connectivity density (FCD) in 16 patients who had mild cognitive impairment with depressive symptoms (D-MCI) (mean age: 69...
2018: Neural Plasticity
Lei Wu, Feng-Tao Liu, Jing-Jie Ge, Jue Zhao, Yi-Lin Tang, Wen-Bo Yu, Huan Yu, Tim Anderson, Chuan-Tao Zuo, Ling Chen, Jian Wang
This study aimed to characterize the clinical features and the related cerebral glucose metabolism pattern of cognitive impairments in Parkinson's disease (PD) with positron emission tomography (PET) imaging. We recruited 168 PD patients and 100 age-matched healthy controls of similar education and gender distribution. All of those enrolled underwent clinical assessment including the unified Parkinson's disease rating scale motor score, Hoehn and Yahr scale, and comprehensive neuropsychological tests including domains of executive function, attention, memory, visuospatial function, and language...
July 12, 2018: Human Brain Mapping
Qibin Chen, Li Ren, Su Min, Xuechao Hao, Hengsheng Chen, Jie Deng
Background: Accompanied with the effective antidepressant effect, electroconvulsive shock (ECS) can induce cognitive impairment, but the mechanism is unclear. Synaptic plasticity is the fundamental mechanism of learning and memory. This study aimed to investigate the effect of ECS on synaptic plasticity changes in rats with depression-like behavior. Methods: Chronic unpredictable mild stress procedure was conducted to establish a model of depression-like behavior...
2018: Neuropsychiatric Disease and Treatment
John C Williamson, Andrew J Larner
BACKGROUND/AIMS: The Mini-Addenbrooke's Cognitive Examination (MACE) is a relatively new short cognitive screening instrument for the detection of patients with dementia and mild cognitive impairment (MCI). Few studies of the MACE have been reported hitherto. The aim of this study was to undertake a pragmatic diagnostic test accuracy study of MACE in a large cohort of patients seen in a dedicated cognitive disorders clinic. METHODS: MACE was administered to consecutive patients referred to a neurology-led Cognitive Function Clinic over the course of 3 years to assess its performance for the diagnosis of dementia and MCI using various test metrics...
July 11, 2018: Dementia and Geriatric Cognitive Disorders
Robert Fieo, Yaakov Stern
BACKGROUND/AIMS: Dementia exhibits an insidious onset consisting of cognitive, behavioral, and functional impairment. We explored a functional continuum that extends assessment beyond the clinical instrumental activities of daily living (IADL) range and into advanced activities of daily living. METHODS: We examined the predictive power (Cox regression; n = 2,471) of a unidimensional IADL-extended (IADL-x) scale for incident mild cognitive impairment (MCI). We also examined "time to MCI" as an outcome measure...
July 11, 2018: Dementia and Geriatric Cognitive Disorders
Stephanos Leandrou, Styliani Petroudi, Constantino Carlos Reyes-Aldasoro, Panayiotis A Kyriacou, Constantinos S Pattichis
Classifying and predicting Alzheimer's disease (AD) in individuals with memory disorders through clinical and psychometric assessment is challenging especially in Mild Cognitive Impairment (MCI) subjects. Quantitative structural Magnetic Resonance Imaging (MRI) acquisition methods in combination with Computer-Aided Diagnosis (CAD) are currently being used for the assessment AD. These acquisitions methods include: i) Voxel-based Morphometry (VBM), ii) volumetric measurements in specific Regions of Interest (ROIs), iii) cortical thickness measurements, iv) shape analysis and v) texture analysis...
January 23, 2018: IEEE Reviews in Biomedical Engineering
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, Alessia Bramanti, Francesco C Morabito
In this paper, a novel electroencephalographic (EEG)-based method is introduced for the quantification of brain-electrical connectivity changes over a longitudinal evaluation of mild cognitive impaired (MCI) subjects. In the proposed method, a dissimilarity matrix is constructed by estimating the coupling strength between every pair of EEG signals, Hierarchical clustering is then applied to group the related electrodes according to the dissimilarity estimated on pairs of EEG recordings. Subsequently, the connectivity density of the electrodes network is calculated...
February 5, 2018: IEEE Transactions on Neural Networks and Learning Systems
Maxime Lussier, Monica Lavoie, Sylvain Giroux, Charles Consel, Manon Guay, Joel Macoir, Carol Hudon, Dominique Lorrain, Lise Talbot, Francis Langlois, Helene Pigot, Nathalie Bier
INTRODUCTION: The aging of the world population is accompanied by a substantial increase in neurodegenerative disorders such as dementia. Early detection of dementia, i.e. at the mild cognitive impairment (MCI) stage, could be an essential condition for slowing down the loss of autonomy and quality of life caused by the disease, as it would provide a critical window for the implementation of early pharmacological and non-pharmacological interventions. However, the current assessments for MCI have several limitations...
May 7, 2018: IEEE Journal of Biomedical and Health Informatics
Jin San Lee, Seong-Kyung Cho, Hee Jin Kim, Yeo Jin Kim, Key-Chung Park, Samuel N Lockhart, Duk L Na, Changsoo Kim, Sang Won Seo
To evaluate prediction models of cognitive trajectories in patients with nonamnestic mild cognitive impairment (naMCI) using group-based trajectory analysis, we evaluated 121 patients with naMCI who underwent at least their first three yearly assessments. Group-based trajectory models were used to classify cognitive trajectories based on Clinical Dementia Rating Sum of Boxes scores over four years in patients with naMCI. A total of 22 patients (18.2%) were classified into the "fast-decliners" group, while 99 patients (81...
July 11, 2018: Scientific Reports
Ko Woon Kim, Jong Doo Choi, Hyejoo Lee, Na Kyung Lee, Seongbeom Park, Juhee Chin, Byung Hwa Lee, Jiwon Shin, Yeshin Kim, Hyemin Jang, Jee Hyun Choi, Duk L Na
Recent improvements in neuroimaging and molecular markers of Alzheimer's disease (AD) have aided diagnosis in the early stage of the disease, which greatly increases the chance for successful prevention and treatment. However, the expanding resources for AD diagnosis are unlikely to benefit all elderly due to economic burden. Here, we aimed to develop an inexpensive and sensitive method to detect early-stage AD. A scenario for real-world social event memory test (SEMT) was created and filmed in 360° video...
July 10, 2018: Scientific Reports
HyunChul Youn, Eun Seong Lee, Suji Lee, Sangil Suh, Hyun-Ghang Jeong, Jae Seon Eo
BACKGROUND: Depression is a risk factor for mild cognitive impairment (MCI) and for the conversion from MCI to Alzheimer's disease (AD). This study investigated regional cerebral glucose metabolism (rCMglc) in older adults with depression and MCI, either with or without amyloidopathy. METHODS: We recruited 31 older adults diagnosed with depression and MCI, and 21 older adults with normal cognition (NC). All participants completed demographic questionnaires and were examined with a standardized neuropsychological battery, F-18 fluorodeoxyglucose positron emission tomography (PET), and F-18 florbetaben PET...
June 18, 2018: Journal of Affective Disorders
Christian Sande Musaeus, Knut Engedal, Peter Hgh, Vesna Jelic, Morten Mrup, Mala Naik, Anne-Rita Oeksengaard, Jon Snaedal, Lars-Olof Wahlund, Gunhild Waldemar, Birgitte Bo Andersen
BACKGROUND: Quantitative EEG (qEEG) power could potentially be used as a diagnostic tool for Alzheimer's disease (AD) and may further our understanding of the pathophysiology. However, the early qEEG power changes of AD are not well understood. OBJECTIVE: To investigate the early changes in qEEG power and the possible correlation with memory function and cerebrospinal fluid biomarkers. In addition, whether qEEG power could discriminate between AD, mild cognitive impairment (MCI), and older healthy controls (HC) at the individual level...
July 6, 2018: Journal of Alzheimer's Disease: JAD
Brianne A Kent, Stephen M Strittmatter, Haakon Nygaard
BACKGROUND: Sleep disturbances have long been associated with Alzheimer's disease (AD), and there is a growing interest in how these disturbances might impact AD pathophysiology. Despite this growing interest, surprisingly little is known about how sleep architecture and the broader neuronal network are affected in widely used transgenic mouse models of AD. OBJECTIVE: We analyzed sleep and electroencephalography (EEG) power in three transgenic mouse models of AD, using identical and commercially available hardware and analytical software...
July 6, 2018: Journal of Alzheimer's Disease: JAD
David C Garrett, Nyssa Rae, Jared R Fletcher, David B Hogan, Elise C Fear
Dehydration is a common condition characterized by a decrease in total body water (TBW). Acute dehydration can cause physical and cognitive impairment, heat stroke and exhaustion, and if severe and uncorrected, even death. The health effects of chronic mild dehydration are less well studied with urolithiasis (kidney stones) the only condition consistently associated with it. Aside from infants and those with particular medical conditions, athletes, military personnel, workers, and older adults are at particular risk of dehydration due to their physical activity, environmental exposure, and/or challenges in maintaining fluid homeostasis...
November 20, 2017: IEEE Reviews in Biomedical Engineering
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