Recommendations of Swiss Memory Clinics for the Diagnosis of Dementia / Die Empfehlungen der Swiss Memory Clinics für die Diagnostik der Demenzerkrankungen.

The early diagnosis of subjectively perceived or externally anamnestically observed cognitive impairments is essential for proving neurodegenerative diseases or excluding treatable causes such as internal, neurological or psychiatric disorders. Only in this way is early treatment made possible. As part of the project 3.1 of the National Dementia Strategy 2014­2019 («Development and expansion of regional and networked centres of competence for diagnostics¼), the association Swiss Memory Clinics (SMC) set itself the goal of developing quality standards for dementia clarification and improving the community-based care in this field. In these recommendations, general guidelines of diagnostics and individual examination possibilities are presented, and standards for the related processes are suggested. Individual areas such as anamnesis, clinical examination, laboratory examination, neuropsychological testing and neuroradiological procedures are discussed in detail as part of standard diagnostics, and supplementary examination methods for differential diagnosis considerations are portrayed. The most important goals of the SMC recommendations for the diagnosis of dementia are to give all those affected access to high-quality diagnostics, if possible, to improve early diagnosis of dementia and to offer the basic service providers and the employees of Memory Clinics a useful instrument for the clarification.

[Recommendations of Swiss Memory Clinics for the Diagnosis of Dementia]. / Recommandations de Swiss Memory Clinics pour le diagnostic des démences.

Recommendations of Swiss Memory Clinics for the Diagnosis of Dementia Abstract. The early diagnosis of subjectively perceived or externally anamnestically observed cognitive impairments is essential for proving neurodegenerative diseases or excluding treatable causes such as internal, neurological or psychiatric disorders. Only in this way is early treatment made possible. As part of the project 3.1 of the National Dementia Strategy 2014-2019 ('Development and expansion of regional and networked centres of competence for diagnostics'), the association Swiss Memory Clinics (SMC) set itself the goal of developing quality standards for dementia clarification and improving the community-based care in this field. In these recommendations, general guidelines of diagnostics and individual examination possibilities are presented, and standards for the related processes are suggested. Individual areas such as anamnesis, clinical examination, laboratory examination, neuropsychological testing and neuroradiological procedures are discussed in detail as part of standard diagnostics, and supplementary examination methods for differential diagnosis considerations are portrayed. The most important goals of the SMC recommendations for the diagnosis of dementia are to give all those affected access to high-quality diagnostics, if possible, to improve early diagnosis of dementia and to offer the basic service providers and the employees of Memory Clinics a useful instrument for the clarification.

Résumé. Le diagnostic précoce des atteintes cognitives, ressenties subjectivement ou rapportées par un tiers, est essentiel pour détecter des maladies neurodégénératives ou exclure des causes traitables telles que des pathologies de médecine interne, neurologiques ou psychiatriques. C'est la seule façon de garantir un traitement anticipé. Dans le cadre du projet 3.1 de la stratégie nationale en matière de démences 2014­2019 («Mise en place et extension d'un réseau de centres de compétences régionaux pour le diagnostic¼), l'association Swiss Memory Clinics (SMC) s'est fixé pour objectif d'améliorer les normes de qualité en matière de diagnostic des démences et de soins de proximité dans ce domaine. Ces recommandations contiennent des directives d'ordre général sur le diagnostic et les différentes possibilités d'examens, et proposent des normes pour les procédures à appliquer. Elles expliquent en détail les différents éléments du diagnostic standard, tels que l'anamnèse, l'examen clinique, l'analyse de laboratoire, les tests neuropsychologiques et les procédures neuroradiologiques, et présentent des examens complémentaires pouvant alimenter les réflexions sur le diagnostic différentiel. Les principaux objectifs des recommandations SMC pour le diagnostic des démences sont les suivants: assurer l'accès à un diagnostic de haute qualité à un maximum de personnes atteintes, améliorer le diagnostic précoce de la démence, ainsi que proposer aux médecins de premier recours et aux collaborateurs de Memory Clinics un outil d'investigations diagnostiques utile.

Evaluation of a novel Serious Game based assessment tool for patients with Alzheimer's disease.

Despite growing interest in developing ecological assessment of difficulties in patients with Alzheimer's disease new methods assessing the cognitive difficulties related to functional activities are missing. To complete current evaluation, the use of Serious Games can be a promising approach as it offers the possibility to recreate a virtual environment with daily living activities and a precise and complete cognitive evaluation. The aim of the present study was to evaluate the usability and the screening potential of a new ecological tool for assessment of cognitive functions in patients with Alzheimer's disease. Eighteen patients with Alzheimer's disease and twenty healthy controls participated to the study. They were asked to complete six daily living virtual tasks assessing several cognitive functions: three navigation tasks, one shopping task, one cooking task and one table preparation task following a one-day scenario. Usability of the game was evaluated through a questionnaire and through the analysis of the computer interactions for the two groups. Furthermore, the performances in terms of time to achieve the task and percentage of completion on the several tasks were recorded. Results indicate that both groups subjectively found the game user friendly and they were objectively able to play the game without computer interactions difficulties. Comparison of the performances between the two groups indicated a significant difference in terms of percentage of achievement of the several tasks and in terms of time they needed to achieve the several tasks. This study suggests that this new Serious Game based assessment tool is a user-friendly and ecological method to evaluate the cognitive abilities related to the difficulties patients can encounter in daily living activities and can be used as a screening tool as it allowed to distinguish Alzheimer's patient's performance from healthy controls.

Use it or lose it! Cognitive activity as a protec-tive factor for cognitive decline associated with Alzheimer's disease.

Because of the worldwide aging of populations, Alzheimer's disease and other dementias constitute a devastating experience for patients and families as well as a major social and economic burden for both healthcare systems and society. Multiple potentially modifiable cardiovascular and lifestyle risk factors have been associated with this disease. Thus, modifying these risk factors and identifying protective factors represent important strategies to prevent and delay disease onset and to decrease the social burden. Based on the cognitive reserve hypothesis, evidence from epidemiological studies shows that low education and cognitive inactivity constitute major risk factors for dementia. This indicates that a cognitively active lifestyle may protect against cognitive decline or delay the onset of dementia. We describe a newly developed preventive programme, based on this evidence, to stimulate and increase cognitive activity in older adults at risk for cognitive decline. This programme, called "BrainCoach", includes the technique of "motivational interviewing" to foster behaviour change. If the planned feasibility study is successful, we propose to add BrainCoach as a module to the already existing "Health Coaching" programme, a Swiss preventive programme to address multiple risk factors in primary care.

Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living.

Cognitive impairment due to dementia decreases functionality in Activities of Daily Living (ADL). Its assessment is useful to identify care needs, risks and monitor disease progression. This study investigates differences in ADL pattern-performance between dementia patients and healthy controls using unobtrusive sensors. Around 9,600 person-hours of activity data were collected from the home of ten dementia patients and ten healthy controls using a wireless-unobtrusive sensors and analysed to detect ADL. Recognised ADL were visualized using activity maps, the heterogeneity and accuracy to discriminate patients from healthy were analysed. Activity maps of dementia patients reveal unorganised behaviour patterns and heterogeneity differed significantly between the healthy and diseased. The discriminating accuracy increases with observation duration (0.95 for 20 days). Unobtrusive sensors quantify ADL-relevant behaviour, useful to uncover the effect of cognitive impairment, to quantify ADL-relevant changes in the course of dementia and to measure outcomes of anti-dementia treatments.

Effects of Alzheimer's Disease on Visual Target Detection: A "Peripheral Bias".

Visual exploration is an omnipresent activity in everyday life, and might represent an important determinant of visual attention deficits in patients with Alzheimer's Disease (AD). The present study aimed at investigating visual search performance in AD patients, in particular target detection in the far periphery, in daily living scenes. Eighteen AD patients and 20 healthy controls participated in the study. They were asked to freely explore a hemispherical screen, covering ±90°, and to respond to targets presented at 10°, 30°, and 50° eccentricity, while their eye movements were recorded. Compared to healthy controls, AD patients recognized less targets appearing in the center. No difference was found in target detection in the periphery. This pattern was confirmed by the fixation distribution analysis. These results show a neglect for the central part of the visual field for AD patients and provide new insights by mean of a search task involving a larger field of view.

Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators of cognitive health status and their assessment is a measure of independence in everyday living. ADL are difficult to reliably assess using questionnaires due to self-reporting biases. Various sensor-based (wearable, in-home, intrusive) systems have been proposed to successfully recognize and quantify ADL without relying on self-reporting. New classifiers required to classify sensor data are on the rise. We propose two ad-hoc classifiers that are based only on non-intrusive sensor data. METHODS: A wireless sensor system with ten sensor boxes was installed in the home of ten healthy subjects to collect ambient data over a duration of 20 consecutive days. A handheld protocol device and a paper logbook were also provided to the subjects. Eight ADL were selected for recognition. We developed two ad-hoc ADL classifiers, namely the rule based forward chaining inference engine (RBI) classifier and the circadian activity rhythm (CAR) classifier. The RBI classifier finds facts in data and matches them against the rules. The CAR classifier works within a framework to automatically rate routine activities to detect regular repeating patterns of behavior. For comparison, two state-of-the-art [Naïves Bayes (NB), Random Forest (RF)] classifiers have also been used. All classifiers were validated with the collected data sets for classification and recognition of the eight specific ADL. RESULTS: Out of a total of 1,373 ADL, the RBI classifier correctly determined 1,264, while missing 109 and the CAR determined 1,305 while missing 68 ADL. The RBI and CAR classifier recognized activities with an average sensitivity of 91.27 and 94.36%, respectively, outperforming both RF and NB. CONCLUSIONS: The performance of the classifiers varied significantly and shows that the classifier plays an important role in ADL recognition. Both RBI and CAR classifier performed better than existing state-of-the-art (NB, RF) on all ADL. Of the two ad-hoc classifiers, the CAR classifier was more accurate and is likely to be better suited than the RBI for distinguishing and recognizing complex ADL.

The Longitudinal Course of Gross Motor Activity in Schizophrenia - Within and between Episodes.

Schizophrenia is associated with heterogeneous course of positive and negative symptoms. In addition, reduced motor activity as measured by wrist actigraphy has been reported. However, longitudinal studies of spontaneous motor activity are missing. We aimed to explore whether activity levels were stable within and between psychotic episodes. Furthermore, we investigated the association with the course of negative symptoms. In 45 medicated patients, we investigated motor behavior within a psychotic episode. In addition, we followed 18 medicated patients across 2 episodes. Wrist actigraphy and psychopathological ratings were applied. Within an episode symptoms changed but activity levels did not vary systematically. Activity at baseline predicted the course of negative symptoms. Between two episodes activity recordings were much more stable. Again, activity at the index episode predicted the outcome of negative symptoms. In sum, spontaneous motor activity shares trait and state characteristics, the latter are associated with negative symptom course. Actigraphy may therefore become an important ambulatory instrument to monitor negative symptoms and treatment outcome in schizophrenia.

A web-based non-intrusive ambient system to measure and classify activities of daily living.

BACKGROUND: The number of older adults in the global population is increasing. This demographic shift leads to an increasing prevalence of age-associated disorders, such as Alzheimer's disease and other types of dementia. With the progression of the disease, the risk for institutional care increases, which contrasts with the desire of most patients to stay in their home environment. Despite doctors' and caregivers' awareness of the patient's cognitive status, they are often uncertain about its consequences on activities of daily living (ADL). To provide effective care, they need to know how patients cope with ADL, in particular, the estimation of risks associated with the cognitive decline. The occurrence, performance, and duration of different ADL are important indicators of functional ability. The patient's ability to cope with these activities is traditionally assessed with questionnaires, which has disadvantages (eg, lack of reliability and sensitivity). Several groups have proposed sensor-based systems to recognize and quantify these activities in the patient's home. Combined with Web technology, these systems can inform caregivers about their patients in real-time (e.g., via smartphone). OBJECTIVE: We hypothesize that a non-intrusive system, which does not use body-mounted sensors, video-based imaging, and microphone recordings would be better suited for use in dementia patients. Since it does not require patient's attention and compliance, such a system might be well accepted by patients. We present a passive, Web-based, non-intrusive, assistive technology system that recognizes and classifies ADL. METHODS: The components of this novel assistive technology system were wireless sensors distributed in every room of the participant's home and a central computer unit (CCU). The environmental data were acquired for 20 days (per participant) and then stored and processed on the CCU. In consultation with medical experts, eight ADL were classified. RESULTS: In this study, 10 healthy participants (6 women, 4 men; mean age 48.8 years; SD 20.0 years; age range 28-79 years) were included. For explorative purposes, one female Alzheimer patient (Montreal Cognitive Assessment score=23, Timed Up and Go=19.8 seconds, Trail Making Test A=84.3 seconds, Trail Making Test B=146 seconds) was measured in parallel with the healthy subjects. In total, 1317 ADL were performed by the participants, 1211 ADL were classified correctly, and 106 ADL were missed. This led to an overall sensitivity of 91.27% and a specificity of 92.52%. Each subject performed an average of 134.8 ADL (SD 75). CONCLUSIONS: The non-intrusive wireless sensor system can acquire environmental data essential for the classification of activities of daily living. By analyzing retrieved data, it is possible to distinguish and assign data patterns to subjects' specific activities and to identify eight different activities in daily living. The Web-based technology allows the system to improve care and provides valuable information about the patient in real-time.