scholarly journals The effects of acupuncture on cognitive deficits in transgenic mouse studies of mild cognitive impairment and Alzheimerʼs disease

Medicine ◽  
2019 ◽  
Vol 98 (42) ◽  
pp. e17557
Author(s):  
Yang Yang ◽  
Shaowen Hu ◽  
Jiang He ◽  
Jianguo Zhang ◽  
Chunzhi Tang
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Transgenic Mouse ◽  
Cognitive Deficits

scholarly journals Effects of Anosognosia on Perceived Stress and Cortisol Levels in Alzheimer’s Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Genevieve Arsenault-Lapierre ◽  
Victor Whitehead ◽  
Sonia Lupien ◽  
Howard Chertkow
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Perceived Stress ◽  
Cognitive Deficits ◽  
Salivary Cortisol ◽  
Newly Diagnosed ◽  
Stress Scale ◽  
Cortisol Levels

Anosognosia, or unawareness of one’s own cognitive deficits, may cause issues when measuring perceived stress and cortisol levels in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). The goal of this study was to examine the effects of anosognosia on perceived stress and salivary cortisol levels in normal elderly (NE) adults, MCI individuals, newly diagnosed AD patients, and long-lasting AD patients, suspected to show more anosognosia. An anosognosia index for perceived stress was computed by subtracting the score on the Perceived Stress Scale measured in the participants and their relative. Cortisol levels were measured four times a day over two nonconsecutive days. Greater anosognosia for dementia correlated with greater anosognosia for perceived stress in the group as a whole. However, no correlation between cortisol levels and either anosognosia for dementia or perceived stress was observed. Our results suggest that measuring perceived stress in AD patients may be influenced by anosognosia.

scholarly journals Impaired abstract thinking may discriminate between normal aging and vascular mild cognitive impairment

2010 ◽  
Vol 68 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Felipe Kenji Sudo ◽  
Gilberto Sousa Alves ◽  
Carlos Eduardo de Oliveira Alves ◽  
Maria Elisa Lanna ◽  
Letice Ericeira-Valente ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cerebrovascular Disease ◽  
Cognitive Deficits ◽  
Cross Sectional Study ◽  
Abstract Thinking ◽  
Sectional Study ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Healthy Elderly

OBJECTIVE: Cerebrovascular disease (CVD) is associated with cognitive deficits. This cross-sectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. METHOD: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. RESULTS: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). CONCLUSION: CAMCOG discriminated controls from VaMCI and VaD. Assessment of abstract thinking may be useful as a screening item for diagnosis of VaMCI.

Cognitive Functions in the Geriatric Population

2021 ◽  
pp. 123-146
Author(s):  
Shivani Sharma ◽  
Ashima Nehra
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Clinical Diagnosis ◽  
Predictive Validity ◽  
Cognitive Deficits ◽  
Cognitive Functions ◽  
Diagnostic Challenge ◽  
Geriatric Population ◽  
Clinical Criteria ◽  
Cognitive States

This chapter describes how one of the challenging issues of clinical diagnosis is distinguishing between the cognitive deficits manifested in normal aging, depression, mild cognitive impairment (MCI) and dementia. The diagnostic challenge is that there is a great deal of overlap in the symptom constellations of these conditions. It is thus important to establish conceptual and clinical criteria with sufficient predictive validity to accurately identify differences and similarities in cognitive states to justify initiation of appropriate treatments.

scholarly journals Predictors of subjective cognitive deficits in patients with mild cognitive impairment

2021 ◽  
Author(s):  
Lorenz Loessner ◽  
Claudia Matthes ◽  
Robert Haussmann ◽  
Moritz D. Brandt ◽  
Cathrin Sauer ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Deficits

scholarly journals Structural Neuroimaging Markers of Cognitive Decline in Parkinson’s Disease

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Alexandru Hanganu ◽  
Oury Monchi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Clinical Practice ◽  
Mild Cognitive Impairment ◽  
Early Detection ◽  
Cognitive Decline ◽  
Cognitive Deficits ◽  
Daily Living ◽  
Near Future

Cognitive impairment in patients with Parkinson’s disease is a major challenge since it has been established that 25 to 40% of patients will develop cognitive impairment early in the disease. Furthermore, it has been reported that up to 80% of Parkinsonian patients will eventually develop dementia. Thus, it is important to improve the diagnosing procedures in order to detect cognitive impairment at early stages of development and to delay as much as possible the developing of dementia. One major challenge is that patients with mild cognitive impairment exhibit measurable cognitive deficits according to recently established criteria, yet those deficits are not severe enough to interfere with daily living, hence being avoided by patients, and might be overseen by clinicians. Recent advances in neuroimaging brain analysis allowed the establishment of several anatomical markers that have the potential to be considered for early detection of cognitive impairment in Parkinsonian patients. This review aims to outline the neuroimaging possibilities in diagnosing cognitive impairment in patients with Parkinson’s disease and to take into consideration the near-future possibilities of their implementation into clinical practice.

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