On the comparison of a novel serious game and electroencephalography biomarkers for early dementia screening

Patients with amnestic mild cognitive impairment are at high risk for developing Alzheimer's disease. Besides episodic memory dysfunction they show deficits in accessing contextual knowledge that further specifies a general spatial navigation task or an executive function (EF) virtual action planning. Virtual reality (VR) environments have already been successfully used in cognitive rehabilitation and show increased potential for use in neuropsychological evaluation allowing for greater ecological validity while being more engaging and user friendly. In our study we employed the in-house platform of virtual action planning museum (VAP-M) and a sample of 25 MCI and 25 controls, in order to investigate deficits in spatial navigation, prospective memory, and executive function. In addition, we used the morphology of late components in event-related potential (ERP) responses, as a marker for cognitive dysfunction. The related measurements were fed to a common classification scheme facilitating the direct comparison of both approaches. Our results indicate that both the VAP-M and ERP averages were able to differentiate between healthy elders and patients with amnestic mild cognitive impairment and agree with the findings of the virtual action planning supermarket (VAP-S). The sensitivity (specificity) was 100% (98%) for the VAP-M data and 87% (90%) for the ERP responses. Considering that ERPs have proven to advance the early detection and diagnosis of "presymptomatic AD," the suggested VAP-M platform appears as an appealing alternative.

Diagnosing the Prodromal State of Alzheimer's Disease

Mild Cognitive Impairment- Amnestic Subtype (MCIa) is a putative prodromal stage of Alzheimer’s Disease (AD) characterized by focal deficits in episodic verbal memory. Less is known about relative deficits in visuospatial learning, although there is ample evidence indicating involvement of the hippocampus in visuospatial learning, as well as hippocampal degeneration in early AD. The aim of this study was to better characterize the components of working memory dysfunction in people with MCIa to increase the ability to reliably diagnose this disease. Fifty-six elderly adults diagnosed with MCIa and 94 healthy elderly completed a hidden maze learning task. Results indicated similar functioning between groups on measures of reasoning, problem solving, and accuracy. However, MCIa subjects were less efficient at learning the hidden path, making more errors per second on average (Cohen’s d= -.78) and requiring a longer time to complete the maze (Cohen’s d=.77). The learning curve between the first two trials was four times as steep for healthy elderly compared to MCIa (slopes = 4.9 vs. 1.24, respectively), indicating that MCIa subjects exhibited relative difficulty in holding and making effective use of an internal spatial map in order to improve performance. Our results suggest that MCIa patients have focal deficits in visuospatial working memory, with relative preservation of functioning on other more global measures of cognitive functioning. This particular pattern of results may be specific to the amnestic variant of MCI.

Diffusion Tensor Imaging in Alzheimer's disease

Attentional control and Information processing speed are central concepts in cognitive psychology and neuropsychology. Functional neuroimaging and neuropsychological assessment have depicted theoretical models considering attention as a complex and non-unitary process. One of its component processes, Attentional set-shifting ability, is commonly assessed using the Trail Making Test (TMT). Performance in the TMT decreases with increasing age in adults, Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD). Besides, speed of information processing (SIP) seems to modulate attentional performance. While neural correlates of attentional control have been widely studied, there are few evidences about the neural substrates of SIP in these groups of patients. Different authors have suggested that it could be a property of cerebral white matter, thus, deterioration of the white matter tracts that connect brain regions related to set-shifting may underlie the age-related, MCI and AD decrease in performance. The aim of this study was to study the anatomical dissociation of attentional and speed mechanisms. Diffusion tensor imaging (DTI) provides a unique insight into the cellular integrity of the brain, offering an in vivo view into the microarchitecture of cerebral white matter. At the same time, the study of ageing, characterized by white matter decline, provides the opportunity to study the anatomical substrates speeded or slowed information processing. We hypothesized that FA values would be inversely correlated with time to completion on Parts A and B of the TMT, but not the derived scores B/A and B-A.

Changes in the Papez Circuit in early stages of Alzheimer's Disease

Alzheimer's disease (AD) is the most common cause of demenMa. Neuronal and synapMc losses occur iniMally and predominantly in the medial temporal lobe structures including hippocampus, amygdala and thalamus, structures that belong to the Papez circuit. The integrity of the connecMons amongst them is essenMal for episodic memory, which is specifically impaired in AD. For this reason we have invesMgated the degeneraMon paRern of subcorMcal structures and its relaMon to early stages of AD, i.e. Mild CogniMve Impairment (MCI), both in the amnesic and mulMdomain types using structural magneMc resonance imaging (using a 3T GE scanner) and VBM‐DARTEL.

Optimizing Functional Network Representation of Multivariate Time Series

By combining complex network theory and data mining techniques, we provide objective criteria for optimization of the functional network representation of generic multivariate time series. In particular, we propose a method for the principled selection of the threshold value for functional network reconstruction from raw data, and for proper identification of the network's indicators that unveil the most discriminative information on the system for classification purposes. We illustrate our method by analysing networks of functional brain activity of healthy subjects, and patients suffering from Mild Cognitive Impairment, an intermediate stage between the expected cognitive decline of normal aging and the more pronounced decline of dementia. We discuss extensions of the scope of the proposed methodology to network engineering purposes, and to other data mining tasks.

Distributed System for Cognitive Stimulation Over Interactive TV.

Descripción y evaluación de sistema de estimulación cognitiva a través de la TDT orientada a personas con enfermedad de Parkinson, con supervisión por parte de sus terapeutas de forma remota. Abstract: This paper details the full design, implementation, and validation of an e-health service in order to improve the community health care services for patients with cognitive disorders. Specifically, the new service allows Parkinson’s disease patients benefit from the possibility of doing cognitive stimulation therapy (CST) at home by using a familiar device such as a TV set. Its use instead of a PC could be a major advantage for some patients whose lack of familiarity with the use of a PC means that they can do therapy only in the presence of a therapist. For these patients this solution could bring about a great improvement in their autonomy. At the same time, this service provides therapists with the ability to conduct follow-up of therapy sessions via the web,benefiting from greater and easier control of the therapy exercises performed by patients and allowing them to customize new exercises in accordance with the particular needs of each patient. As a result, this kind of CST is considered to be a complement of other therapies oriented to the Parkinson patients. Furthermore, with small changes, the system could be useful for patients with a different cognitive disease such as Alzheimer’s or mild cognitive impairment.

Early dysfunction of functional connectivity in healthy elderly with subjective memory complaints

It is still an open question whether subjective memory complaints (SMC) can actually be considered to be clinically relevant predictors for the development of an objective memory impairment and even dementia. There is growing evidence that suggests that SMC are associated with an increased risk of dementia and with the presence of biological correlates of early Alzheimer's disease. In this paper, in order to shed some light on this issue, we try to discern whether subjects with SMC showed a different profile of functional connectivity compared with subjects with mild cognitive impairment (MCI) and healthy elderly subjects. In the present study, we compare the degree of synchronization of brain signals recorded with magnetoencephalography between three groups of subjects (56 in total): 19 with MCI, 12 with SMC and 25 healthy controls during a memory task. Synchronization likelihood, an index based on the theory of nonlinear dynamical systems, was used to measure functional connectivity. Briefly, results show that subjects with SMC have a very similar pattern of connectivity to control group, but on average, they present a lower synchronization value. These results could indicate that SMC are representing an initial stage with a hypo-synchronization (in comparison with the control group) where the brain system is still not compensating for the failing memory networks, but behaving as controls when compared with the MCI subjects.

Optimisation of algorithms to compute information theoretic indexes

Analysis of big amount of data is a field with many years of research. It is centred in getting significant values, to make it easier to understand and interpret data. Being the analysis of interdependence between time series an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce. In the medicine sphere, it is easy to find many researches that try to understand the brain behaviour, its operation mode and its internal connections. The human brain comprises approximately 1011 neurons, each of which makes about 103 synaptic connections. This huge number of connections between individual processing elements provides the fundamental substrate for neuronal ensembles to become transiently synchronized or functionally connected. A similar complex network configuration and dynamics can also be found at the macroscopic scales of systems neuroscience and brain imaging. The emergence of dynamically coupled cell assemblies represents the neurophysiological substrate for cognitive function such as perception, learning, thinking. Understanding the complex network organization of the brain on the basis of neuroimaging data represents one of the most impervious challenges for systems neuroscience. Brain connectivity is an elusive concept that refers to diferent interrelated aspects of brain organization: structural, functional connectivity (FC) and efective connectivity (EC). Structural connectivity refers to a network of physical connections linking sets of neurons, it is the anatomical structur of brain networks. However, FC refers to the statistical dependence between the signals stemming from two distinct units within a nervous system, while EC refers to the causal interactions between them. This research opens the door to try to resolve diseases related with the brain, like Parkinson’s disease, senile dementia, mild cognitive impairment, etc. One of the most important project associated with Alzheimer’s research and other diseases are enclosed in the European project called Blue Brain. The center for Biomedical Technology (CTB) of Universidad Politecnica de Madrid (UPM) forms part of the project. The CTB researches have developed a magnetoencephalography (MEG) data processing tool that allow to visualise and analyse data in an intuitive way. This tool receives the name of HERMES, and it is presented in this document. Analysis of big amount of data is a field with many years of research. It is centred in getting significant values, to make it easier to understand and interpret data. Being the analysis of interdependence between time series an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce. In the medicine sphere, it is easy to find many researches that try to understand the brain behaviour, its operation mode and its internal connections. The human brain comprises approximately 1011 neurons, each of which makes about 103 synaptic connections. This huge number of connections between individual processing elements provides the fundamental substrate for neuronal ensembles to become transiently synchronized or functionally connected. A similar complex network configuration and dynamics can also be found at the macroscopic scales of systems neuroscience and brain imaging. The emergence of dynamically coupled cell assemblies represents the neurophysiological substrate for cognitive function such as perception, learning, thinking. Understanding the complex network organization of the brain on the basis of neuroimaging data represents one of the most impervious challenges for systems neuroscience. Brain connectivity is an elusive concept that refers to diferent interrelated aspects of brain organization: structural, functional connectivity (FC) and efective connectivity (EC). Structural connectivity refers to a network of physical connections linking sets of neurons, it is the anatomical structur of brain networks. However, FC refers to the statistical dependence between the signals stemming from two distinct units within a nervous system, while EC refers to the causal interactions between them. This research opens the door to try to resolve diseases related with the brain, like Parkinson’s disease, senile dementia, mild cognitive impairment, etc. One of the most important project associated with Alzheimer’s research and other diseases are enclosed in the European project called Blue Brain. The center for Biomedical Technology (CTB) of Universidad Politecnica de Madrid (UPM) forms part of the project. The CTB researches have developed a magnetoencephalography (MEG) data processing tool that allow to visualise and analyse data in an intuitive way. This tool receives the name of HERMES, and it is presented in this document.

MEG networks organization is related to white matter integrity

Many studies have assessed the characterization of anatomical or functional connectivity in mild cognitive impairment (MCI), however it is still unknown how they are related in the course of the pathology. Here we integrate the analysis of magnetoencephalographic (MEG) data with white matter (WM) integrity quantification from diffusion weighted imaging (DWI), to asses whether the damage in the WM tracts disrupt the organization of the functional networks.

Entornos de ayuda a la vida independiente de personas mayores sobre servicios de redes de próxima generación

El progresivo envejecimiento de la población está produciendo una elevada demanda de servicios socio‐asistenciales por parte de las personas mayores para mantener su vida independiente y el consiguiente “envejecimiento activo”. La iniciativa Ambient Assisted Living (AAL) promueve el “envejecimiento activo” a través de las Tecnologías de la Información y las Comunicaciones (TIC) y es en ella donde se centrará el trabajo de esta tesis doctoral. Una característica fundamental de los servicios AAL es su adaptación y personalización a las características y preferencias del usuario y su contexto. Así, el paradigma “context awareness” presenta una gran relevancia en la provisión de servicios AAL y en el soporte a la vida independiente de las personas mayores. Concretamente, la utilización de ontologías permite crear modelos de usuarios y contexto que pueden ser utilizadas para los mecanismos de razonamiento incluidos en los servicios context‐aware. Por otra parte, los usuarios actualmente precisan acceder a un conjunto de servicios desde cualquier red de acceso y desde cualquier dispositivo. Las redes de próxima generación (Next Generation Networks‐NGN) lo hacen posible pues ofrecen una convergencia dispositivo‐red‐servicio. La tecnología IMS (IP Multimedia Subsystem) es una arquitectura que implementa el paradigma NGN y ofrece una serie de servicios de red genéricos llamados servicios habilitadores o enablers que pueden ser reutilizados en cualquier aplicación, soportando mecanismos de interoperabilidad entre aplicaciones y permitiendo un desarrollo robusto, rápido y sencillo. Además, los servicios enablers permiten mecanismos de gestión de la información de usuario para realizar una provisión adaptada del servicio en función de la información del estado del usuario. El objetivo de esta tesis doctoral se centra en establecer un marco de convergencia entre estos dos campos diseñando y desarrollando un conjunto de servicios enablers soportados en una arquitectura IMS implementada para soportar la provisión de aplicaciones AAL bajo el paradigma context‐awareness y la triple convergencia reddispositivo‐ servicio cubriendo así las necesidades y requisitos de las personas mayores. Entre las aportaciones de la presente tesis se destaca la realización de un modelo de plataforma servicios AAL, denominado Residencia Virtual Asistiva, para su provisión en el domicilio de la persona mayor, así como la propuesta de implementación de sus servicios a través de servicios enablers. Por otra parte se define una ontología destinada a modelar servicios AAL así como sus usuarios (personas mayores) para lograr una provisión personalizada y adaptada de servicios AAL. Esta ontología se ha implementado a través del servicio de presencia de la arquitectura IMS para poder crear perfiles de usuario y así poder realizar dicha provisión personalizada. Además, se desarrolla una aplicación de teleconsulta, como ejemplo de servicio AAL, que utiliza una serie de servicios enablers desarrollados para ofrecer funcionalidades avanzadas a la aplicación. Bajo el paradigma contex‐awareness se ha desarrollado y evaluado técnicamente un servicio enabler para ofrecer soporte a la movilidad y a la independencia de las personas mayores con deterioro cognitivo que sufren episodios de desorientación espacial. ABSTRACT The progressive ageing of the population is making elderly people demand sociohealthcare services to maintain an independent living and therefore an “active ageing”. The initiative Ambient Assisted Living (AAL), on which the current PhD thesis is focused, promotes the “active ageing” by means of Information and Communication Technologies (ICT). Essential features of AAL services are the adaptation and personalization to the user’s characteristics and preferences as well as user’s context. Thus, the “context‐awareness” paradigm implies a great importance in the AAL service provision and the elderly independent living support. In particular, the usage of ontologies allows creating user and contexts models to be employed in the reasoning mechanism of context‐aware services. On the other hand, users currently require accessing to a set of services from anywhere and any device. Next‐Generation Networks (NGN) support this need by offering a service‐network‐device convergence. The IP Multimedia Subsystem (IMS) technology is an architecture that implements the NGN paradigm and offers a generic network services know as service enabler which can be reused by any application supporting application interoperability mechanism as well as allowing a simple, fast and robust application development. Furthermore, the service enablers offer user’s information management procedures to achieve and adapt service provision considering the user’s status. The objective of this PhD thesis is focused on establishing a convergence framework between these two previous fields by designing and developing a group of service enablers that will be deployed in an IMS architecture. The enablers developed will support the AAL applications provision from the context‐awareness paradigm and service‐network‐device convergence in order to cover the elderly people’s requirements and needs. Among the contributions achieved in this PhD thesis, the definition of an AAL platform service model, named as “Assited Virtual Nursing Home”, for being deployed in the older adult home is emphasised. In addition, a proposal of service enablers to support the AAL service defined in the model is made. Otherwise, an ontology is defined to model AAL services as well as their users with the aim at achieve a personalized and adapted AAL service. This ontology has been implemented by means of the IMS service presence in order to create users profiles to be used in the personalized AAL services. As an example of AAL service, a teleconsulting application has been developed to employ a group of service enablers developed using a set of advanced functionalities. Considering the context‐paradigm, a service enabler has been developed and technologically evaluated to support the mobility and independence of elderly people with mild cognitive impairment who suffers spatial disorientation episodes.

Étude du polymorphisme rs3846662 de l’HMGCR dans le cerveau et le système périphérique

Dans cette thèse, l’impact du polymorphisme rs3846662 sur l’épissage alternatif de la 3-hydroxy-3-méthylglutaryl coenzyme A réductase (HMGCR) a été investigué in vivo, chez des patients atteints d’hypercholestérolémie familiale (HF) ou de maladie d’Alzheimer (MA). Le premier manuscrit adresse la problématique de la normalisation de la quantification relative des ARNm par PCR quantitative. Les découvertes présentées dans ce manuscrit nous ont permis de déterminer avec un haut niveau de confiance les gènes de référence à utiliser pour la quantification relative des niveaux d’ARNm de l’HMGCR dans des échantillons de sang (troisième manuscrit) et de tissus cérébraux post-mortem (quatrième manuscrit). Dans le deuxième manuscrit, nous démontrons grâce à l’emploi de trois cohortes de patients distinctes, soit la population canadienne française du Québec et les deux populations nord américaines « Alzheimer’s Disease Cooperative Study (ADCS) » et « Alzheimer’s Disease Neuroimaging Initiative (ADNI) », que le génotype AA au locus rs3846662 confère à ces porteurs une protection considérable contre la MA. Les femmes porteuses de ce génotype voient leur risque de MA diminuer de près de 50% et l’âge d’apparition de leurs premiers symptômes retarder de 3.6 ans. Les porteurs de l’allèle à risque APOE4 voient pour leur part leurs niveaux de plaques séniles et dégénérescences neurofibrillaires diminuer significativement en présence du génotype AA. Enfin, les individus atteints de déficit cognitif léger et porteurs à la fois de l’allèle APOE4 et du génotype protecteur AA voient leur risque de convertir vers la MA chuter de 76 à 27%. Dans le troisième manuscrit, nous constatons que les individus atteints d’HF et porteurs du génotype AA ont, contrairement au modèle établi chez les gens normaux, des niveaux plus élevés de cholestérol total et de LDL-C avant traitement comparativement aux porteurs de l’allèle G. Le fait que cette association n’est observée que chez les non porteurs de l’APOE4 et que les femmes porteuses du génotype AA présentent à la fois une augmentation des niveaux d’ARNm totaux et une résistance aux traitements par statines, nous indique que ce génotype influencerait non seulement l’épissage alternatif, mais également la transcription de l’HMGCR. Comme une revue exhaustive de la littérature ne révèle aucune étude abondant dans ce sens, nos résultats suggèrent l’existence de joueurs encore inconnus qui viennent influencer la relation entre le génotype AA, l’épissage alternatif et les niveaux d’ARNm de l’HMGCR. Dans le quatrième manuscrit, l’absence d’associations entre le génotype AA et les niveaux d’ARNm Δ13 ou de protéines HMGCR nous suggère fortement que ce polymorphisme est non fonctionnel dans le SNC affecté par la MA. Une étude approfondie de la littérature nous a permis d’étayer cette hypothèse puisque les niveaux de HNRNPA1, la ribonucléoprotéine influencée par l’allèle au locus rs3846662, sont considérablement réduits dans la MA et le vieillissement. Il est donc proposé que les effets protecteurs contre la MA associés au génotype AA soient le résultat d’une action indirecte sur le processus physiopathologique.

In-home Assessment of Turning and Transitions using Inertial Sensors in Older Adults with Dementia and Older Caregivers

Thesis (Master's)--University of Washington, 2016-06

Mapping hippocampal and ventricular change in Alzheimer disease

We developed an anatomical mapping technique to detect hippocampal and ventricular changes in Alzheimer disease (AD). The resulting maps are sensitive to longitudinal changes in brain structure as the disease progresses. An anatomical surface modeling approach was combined with surface-based statistics to visualize the region and rate of atrophy in serial MRI scans and isolate where these changes link with cognitive decline. Fifty-two high-resolution MRI scans were acquired from 12 AD patients (age: 68.4 +/- 1.9 years) and 14 matched controls (age: 71.4 +/- 0.9 years), each scanned twice (2.1 +/- 0.4 years apart). 3D parametric mesh models of the hippocampus and temporal horns were created in sequential scans and averaged across subjects to identify systematic patterns of atrophy. As an index of radial atrophy, 3D distance fields were generated relating each anatomical surface point to a medial curve threading down the medial axis of each structure. Hippocampal atrophic rates and ventricular expansion were assessed statistically using surface-based permutation testing and were faster in AD than in controls. Using color-coded maps and video sequences, these changes were visualized as they progressed anatomically over time. Additional maps localized regions where atrophic changes linked with cognitive decline. Temporal horn expansion maps were more sensitive to AD progression than maps of hippocampal atrophy, but both maps correlated with clinical deterioration. These quantitative, dynamic visualizations of hippocampal atrophy and ventricular expansion rates in aging and AD may provide a promising measure to track AD progression in drug trials. (C) 2004 Elsevier Inc. All rights reserved.

Does the p75 neurotrophin receptor mediate A beta-induced toxicity in Alzheimer's disease?

Alzheimer's disease is characterized by the over-production and accumulation of amyloidogenic A beta peptide, which can induce cell death in vitro. It has been suggested that the death signal could be transduced by the pan neurotrophin receptor (p75NTR). p75NTR is well known for its ability to mediate neuronal death in neurodegenerative conditions and is inextricably linked with changes that occur in Alzheimer's disease. Moreover, A beta binds to p75NTR, activating signalling cascades. However, the complexity of p75NTR-mediated signalling, which does not always promote cell death, leaves open the possibly of A beta promoting death via an alternative signalling pathway or the regulation of other p75NTR-mediated actions. This review focuses on the interactions between A beta and p75NTR in the context of the broader p75NTR signalling field, and offers alternative explanations for how p75NTR might contribute to the aetiology of Alzheimer's disease.

Oxidative LDL modification is increased in vascular dementia and is inversely associated with cognitive performance

It is not known whether the association between increased plasma homocysteine (Hcy) associated with LDL modification and propensity for LDL uptake by macrophages in cardiovascular disease patients holds true in vascular dementia (VaD). Plasma from 83 subjects diagnosed with Alzheimer's disease (AD), VaD, mild cognitive impairment (MCI) and from controls was analysed to examine (1) whether LDL isolated from the plasma of VaD is biochemically and functionally distinct from that isolated from AD, MCI or controls; and (2) whether such biomarkers of LDL phenotype are related to plasma folate levels, Hcy levels and/or to disease severity. Folate and vitamin B6 levels were significantly lower in VaD subjects than in controls. VaD-LDL showed increased protein carbonyl content (p <0.05) and was more susceptible to scavenging by macrophages (p <0.05) than AD- or control-LDL. Patients from the VaD cohort were more prevalent in the lowest tertile for HDL:LDL and the upper tertile for LDL oxidation; the combined parameters of HDL cholesterol, LDL oxidation and scavenging by macrophages show 87% sensitivity towards VaD detection. The association between folate deficiency, LDL modification and dysfunction in VaD but not in AD may provide a novel biomarker assessment to discriminate between the diseases.