[Neuropsychological diagnostics of cognitive deficits : Focus on dementia]. / Neuropsychologische Diagnostik bei kognitiven Einschränkungen : Schwerpunkt demenzielle Erkrankungen.

Older people often report a decline in their cognitive functions - memory problems and difficulty finding words are frequently mentioned. In this context it is essential to differentiate between age-related cognitive decline and pathological processes as they occur in the context of dementia. Neuropsychological diagnostics make an important contribution to this distinction. Using cognitive tests, the quality and quantity of cognitive deficits can be determined. Moreover, the cognitive profile can be used to generate hypotheses about the etiology of the cognitive impairment. In order to avoid a misdiagnosis, factors such as drug side effects, loss of vision and hearing, the presence of depressive symptoms or states of delirium should be taken into account.

Single-domain amnestic mild cognitive impairment identified by cluster analysis predicts Alzheimer's disease in the european prospective DESCRIPA study.

BACKGROUND/AIMS: To identify prodromal Alzheimer's disease (AD) subjects using a data-driven approach to determine cognitive profiles in mild cognitive impairment (MCI). METHODS: A total of 881 MCI subjects were recruited from 20 memory clinics and followed for up to 5 years. Outcome measures included cognitive variables, conversion to AD, and biomarkers (e.g. CSF, and MRI markers). Two hierarchical cluster analyses (HCA) were performed to identify clusters of subjects with distinct cognitive profiles. The first HCA included all subjects with complete cognitive data, whereas the second one selected subjects with very mild MCI (MMSE ≥28). ANOVAs and ANCOVAs were computed to examine whether the clusters differed with regard to conversion to AD, and to AD-specific biomarkers. RESULTS: The HCAs identified 4-cluster solutions that best reflected the sample structure. One cluster (aMCIsingle) had a significantly higher conversion rate (19%), compared to subjective cognitive impairment (SCI, p < 0.0001), and non-amnestic MCI (naMCI, p = 0.012). This cluster was the only one showing a significantly different biomarker profile (Aß42, t-tau, APOE ε4, and medial temporal atrophy), compared to SCI or naMCI. CONCLUSION: In subjects with mild MCI, the single-domain amnestic MCI profile was associated with the highest risk of conversion, even if memory impairment did not necessarily cross specific cut-off points. A cognitive profile characterized by isolated memory deficits may be sufficient to warrant applying prevention strategies in MCI, whether or not memory performance lies below specific z-scores. This is supported by our preliminary biomarker analyses. However, further analyses with bigger samples are needed to corroborate these findings.

"If this is what it means to be old ": a mixed methods study on the effects of age simulation on views on aging and perceptions of age-related impairments.

Age simulation suits are a promising tool to increase empathy and to promote positive attitudes toward older adults. However, studies have largely focused on (young) healthcare professionals, are probably biased by social desirability, and have not addressed participants' views of the aging process triggered by the simulation. The current work combines two studies addressing effects of aging suits on both general and personal views on aging among heterogeneous samples, and exploring spontaneous associations during the simulation. In study 1, N = 165 adults (M = 37.1 years, SD = 15.4, range 18-74 years) answered questionnaires containing general views regarding older adults ("old people are…") as well as personal perceptions ("aging means to me…") before and after wearing an aging suit. In study 2, young adults (N = 22; M = 24.8 years, SD = 4.3, range 20-38 years) and middle-aged adults (N = 41; M = 60.8 years, SD = 6.9, range 40-75 years) carried out established geriatric assessments with and without aging suit, and spontaneous impressions on the instant aging experience were recorded. Findings indicated negative shifts in both general and personal views on aging measures in both age groups (d = .30 to d = .44). Analyses of qualitative data resulted in seven main themes, e.g., "strain/coordination", "future me", "empathy/insight". Group comparisons revealed higher frequencies of future-self related thoughts among middle-aged adults, whereas younger adults mentioned predominantly physical effects of the suit. In conclusion, applying age simulation suits might evoke unintended negative views on aging. In comparison with young adults, middle-aged adults showed broader reflections including thoughts related to emotions, future-self, and potential struggles of older people.

Development of a Proxy-Free Objective Assessment Tool of Instrumental Activities of Daily Living in Mild Cognitive Impairment Using Smart Home Technologies.

BACKGROUND: The assessment of activities of daily living (ADL) is essential for dementia diagnostics. Even in mild cognitive impairment (MCI), subtle deficits in instrumental ADL (IADL) may occur and signal a higher risk of conversion to dementia. Thus, sensitive and reliable ADL assessment tools are important. Smart homes equipped with sensor technology and video cameras may provide a proxy-free assessment tool for the detection of IADL deficits. OBJECTIVE: The aim of this paper is to investigate the potential of a smart home environment for the assessment of IADL in MCI. METHOD: The smart home consisted of a two-room flat equipped with activity sensors and video cameras. Participants with either MCI or healthy controls (HC) had to solve a standardized set of six tasks, e.g., meal preparation, telephone use, and finding objects in the flat. RESULTS: MCI participants needed more time (1384 versus 938 seconds, p <  0.001) and scored less total points (48 versus 57 points, p <  0.001) while solving the tasks than HC. Analyzing the subtasks, intergroup differences were observed for making a phone call, operating the television, and retrieving objects. MCI participants showed more searching and task-irrelevant behavior than HC. Task performance was correlated with cognitive status and IADL questionnaires but not with participants' age. CONCLUSION: This pilot study showed that smart home technologies offer the chance for an objective and ecologically valid assessment of IADL. It can be analyzed not only whether a task is successfully completed but also how it is completed. Future studies should concentrate on the development of automated detection of IADL deficits.

Mild cognitive impairment and deficits in instrumental activities of daily living: a systematic review.

INTRODUCTION: There is a growing body of evidence that subtle deficits in instrumental activities of daily living (IADL) may be present in mild cognitive impairment (MCI). However, it is not clear if there are IADL domains that are consistently affected across patients with MCI. In this systematic review, therefore, we aimed to summarize research results regarding the performance of MCI patients in specific IADL (sub)domains compared with persons who are cognitively normal and/or patients with dementia. METHODS: The databases PsycINFO, PubMed and Web of Science were searched for relevant literature in December 2013. Publications from 1999 onward were considered for inclusion. Altogether, 497 articles were retrieved. Reference lists of selected articles were searched for potentially relevant articles. After screening the abstracts of these 497 articles, 37 articles were included in this review. RESULTS: In 35 studies, IADL deficits (such as problems with medication intake, telephone use, keeping appointments, finding things at home and using everyday technology) were documented in patients with MCI. Financial capacity in patients with MCI was affected in the majority of studies. Effect sizes for group differences between patients with MCI and healthy controls were predominantly moderate to large. Performance-based instruments showed slight advantages (in terms of effect sizes) in detecting group differences in IADL functioning between patients with MCI, patients with Alzheimer's disease and healthy controls. CONCLUSION: IADL requiring higher neuropsychological functioning seem to be most severely affected in patients with MCI. A reliable identification of such deficits is necessary, as patients with MCI with IADL deficits seem to have a higher risk of converting to dementia than patients with MCI without IADL deficits. The use of assessment tools specifically designed and validated for patients with MCI is therefore strongly recommended. Furthermore, the development of performance-based assessment instruments should be intensified, as they allow a valid and reliable assessment of subtle IADL deficits in MCI, even if a proxy is not available. Another important point to consider when designing new scales is the inclusion of technology-associated IADL. Novel instruments for clinical practice should be time-efficient and easy to administer.