P2-265: Daily-life functional instruments to identify mild cognitive impairment

2012 ◽  
Vol 8 (4S_Part_10) ◽  
pp. P355-P355
Author(s):  
Claudia Memoria ◽  
Ivan Aprahamian ◽  
Orestes Forlenza
2020 ◽  
Vol 26 (1) ◽  
pp. 86-96
Author(s):  
Pinghsiu Lin ◽  
Haley M. LaMonica ◽  
Sharon L. Naismith ◽  
Loren Mowszowski

AbstractObjectives:With the rapid growth of the older population worldwide, understanding how older adults with mild cognitive impairment (MCI) use memory strategies to mitigate cognitive decline is important. This study investigates differences between amnestic and nonamnestic MCI subtypes in memory strategy use in daily life, and how factors associated with cognition, general health, and psychological well-being might relate to strategy use.Methods:One hundred forty-eight participants with MCI (mean age = 67.9 years, SD = 8.9) completed comprehensive neuropsychological, medical, and psychological assessments, and the self-report ‘Memory Compensation Questionnaire’. Correlational and linear regression analyses were used to explore relationships between memory strategy use and cognition, general health, and psychological well-being.Results:Memory strategy use does not differ between MCI subtypes (p > .007) despite higher subjective everyday memory complaints in those with amnestic MCI (p = .03). The most marked finding showed that increased reliance-type strategy use was significantly correlated with more subjective memory complaints and poorer verbal learning and memory (p < .01) in individuals with MCI. Moreover, fewer subjective memory complaints and better working memory significantly predicted (p < .05) less reliance strategy use, respectively, accounting for 10.6% and 5.3% of the variance in the model.Conclusions:In general, the type of strategy use in older adults with MCI is related to cognitive functioning. By examining an individual’s profile of cognitive dysfunction, a clinician can provide more personalized clinical recommendations regarding strategy use to individuals with MCI, with the aim of maintaining their day-to-day functioning and self-efficacy in daily life.


2009 ◽  
Vol 22 (2) ◽  
pp. 55-79
Author(s):  
Marion Droz Mendelzweig

Identifying a tipping point that might draw a distinction between normal and pathological ageing is a diffi cult task. This paper reviews various steps that lead to establishing a diagnosis of dementia disorders as it is done in a memory clinic. It analyses the way different data is collected in the patient’s daily life. The steps, including a patient’s neurological status, neuropsychological tests and MRI, are interwoven with regard to identifying Alzheimer’s disease. The mild cognitive impairment category that emerges from this process appears as a grey zone, useful to the practitioners and patients despite the controversies underlying the concept. By questioning the performative dynamic stemming from the encounters between patients with cognitive concerns and professionals, this paper intends to fi nd out how this activity contributes to the standardization of the disease outlines, and how this process contributes to separating ageing signs from a pathological way of becoming aged.


2008 ◽  
Vol 2 (1) ◽  
pp. 76-79
Author(s):  
Marcio Luiz Figueredo Balthazar ◽  
Benito Pereira Damasceno

Abstract Non-amnestic mild cognitive impairment (MCI) evolving to neurodegenerative diseases other than Alzheimer's disease (AD) is rarely well documented. We report a case of a 49 year-old woman who presented a slowly progressive attentional/dysexecutive syndrome sparing other cognitive domains and without significant impairment of daily life activities. Her mother had Parkinsonism and her brother, a psychotic syndrome. Brain CT/MRI showed frontal atrophy while brain SPECT showed moderate cortical hypoperfusion, mainly in the frontal lobes. Our case is an example of non-memory MCI whose neuropsychological data and brain imaging indicating high likelihood of progression to a non-AD dementia.


2015 ◽  
Vol 63 (9) ◽  
pp. 1774-1782 ◽  
Author(s):  
Leslie Vaughan ◽  
Patricia E. Hogan ◽  
Stephen R. Rapp ◽  
Elizabeth Dugan ◽  
Richard A. Marottoli ◽  
...  

2018 ◽  
Vol 32 (20) ◽  
pp. 15761-15769 ◽  
Author(s):  
K. López-de-Ipiña ◽  
U. Martinez-de-Lizarduy ◽  
P. M. Calvo ◽  
B. Beitia ◽  
J. García-Melero ◽  
...  

Abstract Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this previous stage does not seem sufficiently severe to interfere in independent abilities of daily life, so it is usually diagnosed inappropriately. Thus, its detection is a crucial challenge to be addressed by medical specialists. This paper presents a novel proposal for such early diagnosis based on automatic analysis of speech and disfluencies, and Deep Learning methodologies. The proposed tools could be useful for supporting Mild Cognitive Impairment diagnosis. The Deep Learning approach includes Convolutional Neural Networks and nonlinear multifeature modeling. Additionally, an automatic hybrid methodology is used in order to select the most relevant features by means of nonparametric Mann–Whitney U test and Support Vector Machine Attribute evaluation.


2015 ◽  
Vol 56 (5) ◽  
pp. 877-885 ◽  
Author(s):  
Preeyam K. Parikh ◽  
Angela K. Troyer ◽  
Andrea M. Maione ◽  
Kelly J. Murphy

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