Medição do coeficiente de difusão aparente (ADC) e da anisotropia fraccional (FA) em doentes de Alzheimer

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Engenharia Biomédica

Aging and Alzheimer's disease: Searching for novel molecular cues

Tese de Doutoramento em Ciências da Saúde

Association of N-acetylaspartate and cerebrospinal fluid Aβ42 in dementia.

The interplay of amyloid and mitochondrial function is considered crucial in the pathophysiology of Alzheimer's disease (AD). We tested the association of the putative marker of mitochondrial function N-acetylaspartate (NAA) as measured by proton magnetic resonance spectroscopy within the medial temporal lobe and cerebrospinal fluid amyoid-β42 (Aβ42), total Tau and pTau181. 109 patients were recruited in a multicenter study (40 mild AD patients, 14 non-AD dementia patients, 29 mild cognitive impairment (MCI) AD-type patients, 26 MCI of non-AD type patients). NAA correlated with Aβ42 within the AD group. Since the NAA concentration is coupled to neuronal mitochondrial function, the correlation between NAA and Aβ42 may reflect the interaction between disrupted mitochondrial pathways and amyloid production.

Long-term follow-up of four patients with Langer-Giedion syndrome: clinical course and complications.

Long-term observations of individuals with the so-called Langer-Giedion (LGS) or tricho-rhino-phalangeal type II (TRPS2) are scarce. We report here a on follow-up of four LGS individuals, including one first described by Andres Giedion in 1969, and review the sparse publications on adults with this syndrome which comprises ectodermal dysplasia, multiple cone-shaped epiphyses prior to puberty, multiple cartilaginous exostoses, and mostly mild intellectual impairment. LGS is caused by deletion of the chromosomal segment 8q24.11-q24.13 containing among others the genes EXT1 and TRPS1. Most patients with TRPS2 are only borderline or mildly cognitively delayed, and few are of normal intelligence. Their practical skills are better than their intellectual capability, and, for this reason and because of their low self-esteem, they are often underestimated. Some patients develop seizures at variable age. Osteomas on processes of cervical vertebrae may cause pressure on cervical nerves or dissection of cerebral arteries. Joint stiffness is observed during childhood and changes later to joint laxity causing instability and proneness to trauma. Perthes disease is not rare. Almost all males become bald at or soon after puberty, and some develop (pseudo) gynecomastia. Growth hormone deficiency was found in a few patients, TSH deficiency so far only in one. Puberty and fertility are diminished, and no instance of transmission of the deletion from a non-mosaic parent to a child has been observed so far. Several affected females had vaginal atresia with consequent hydrometrocolpos.

La personnalité comme facteur prédictif des symptômes comportementaux et psychologiques chez les patients qui présentent des troubles cognitifs légers

Background and Aims: Both personality changes and behavioural and psychological symptoms (BPS) may be associated with mild cognitive impairment (MCI) in later life and help identify incipient dementia. We wished to investigate the links between personality and BPS in MCI. Method: We studied premorbid personality traits as estimated five years back and their changes in 83 control subjects and 52 MCI patients using the NEO-PI-R for the Five-Factor Model completed by a proxy. Information on BPS was obtained using the Neuropsychiatrie Inventory (NPI). Analyses were controlled for current depression and anxiety. Results: premorbid neuroticism and openness to experience were associated with the total NPI score. The changes in neuroticism, extraversion, openness to experiences, and conscientiousness were associated with apathy and affective symptoms. Conclusions: Personality changes and BPS occur in MCI. The occurrence of affective BPS and apathy is associated with both premorbid personality and their changes. - Cette thèse a eu pour objectif d'étudier l'impact des traits de la personnalité sur le développement de symptômes comportementaux et psychologiques (SCP) chez des personnes qui présentent de troubles cognitifs légers (Mild Cognitive Impairment ou MCI) par rapport à un groupe de sujets contrôle en bonne santé sans troubles cognitifs. Cette thèse s'est s'inserite dans une étude plus large regroupant des aspects neuropsychologiques, génétiques et des marqueurs structuraux cérébraux d'imagerie chez les mêmes participants. La découverte d'un MCI a un impact important en soulevant la question d'éventuels traitements préventifs et de modification du cours d'un trouble ou d'une maladie sous-jacente. Les manifestations cliniques, notamment les SCP, sont source de souffrance chez le patient et les proches et la première cause d'institutionnalisation. Connaître les liens entre la personnalité et les SCP chez les patients qui présentent un MCI s'avère primordial si l'on veut les détecter précocement et favoriser un traitement mieux adapté, tant pharmacologique que psychothérapeutique, pour tenter de freiner leur impact sur l'évolution de la maladie. Nous avons comparé 52 patients MCI avec 83 sujets contrôles. La personnalité au moment de l'étude et estimée rétrospectivement à cinq ans en arrière a été évalué par un proche à l'aide du NEO-PI-R, principal instrument basé sur le Five Factor Model. Pour évaluer la présence de SCP nous avons utilisé l'inventaire neuropsychiatrique (NPI-Q). Les analyses ont étés contrôlées en tenant compte des principales variables confondantes. Le groupe MCI présente des traits de personnalité prémorbide différents de ceux des participants contrôles avec des niveaux inférieurs d'ouverture à l'expérience, d'agréabilité et de conscience. Les changements de personnalité sont marqués chez les MCI avec une augmentation du névrosisme et une diminution de l'extraversion et de la conscience. La personnalité est restée stable chez le groupe contrôle. Le groupe MCI présente souvent des SCP, en particulier des symptômes affectifs (dépression, anxiété, irritabilité, troubles du sommeil) et de l'apathie tandis que les SCP sont presqu'inexistantes chez le groupe contrôle. Les valeurs de névrosisme plus élevés et l'ouverture à l'expérience plus basses sont associées à la présence de SCP. En plus, le changement de la personnalité, à savoir l'augmentation du névrosisme et la diminution de conscience sont associées à la présence de SCP, aux symptômes affectifs et à l'apathie. La diminution d'extraversion et d'ouverture à l'expérience sont associées à la présence de SCP, aux symptômes affectifs mais pas à l'apathie. Cette étude montre que la personnalité change déjà au stade de MCI et que l'apparition des SCP affectifs et de l'apathie est précoce. Certains profils prémorbides et changements de personnalité sont associés à la présence de SCP. L'évaluation de ces changements peut favoriser le diagnostic précoce des troubles cognitifs. Des études prospectives sur des patients MCI sont essentielles afin d'approfondir la compréhension des facteurs de risque liés à la personnalité sur le déclin cognitif et les SCP associés.

2009 Alzheimer's Disease

Alzheimer’s disease triples healthcare costs for Americans aged 65 or older��2009 Alzheimer’s Disease Facts and Figures provides a statistical resource for U.S. data related to Alzheimer’s disease, the most common type of dementia, as well as other dementias. Background and context for interpretation of the data are contained in the Overview. This includes definitions of the types of dementias and a summary of current knowledge about Alzheimer’s disease. Additional sections address prevalence, mortality and lifetime risk of Alzheimer’s disease and other dementias, as well as paid and family caregiving and use and costs of care and services. The Special Report for 2009 focuseson the emerging issue of mild cognitive impairment (MCI).

BrainCheck - a very brief tool to detect incipient cognitive decline: optimized case-finding combining patient- and informant-based data.

INTRODUCTION: Optimal identification of subtle cognitive impairment in the primary care setting requires a very brief tool combining (a) patients' subjective impairments, (b) cognitive testing, and (c) information from informants. The present study developed a new, very quick and easily administered case-finding tool combining these assessments ('BrainCheck') and tested the feasibility and validity of this instrument in two independent studies. METHODS: We developed a case-finding tool comprised of patient-directed (a) questions about memory and depression and (b) clock drawing, and (c) the informant-directed 7-item version of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Feasibility study: 52 general practitioners rated the feasibility and acceptance of the patient-directed tool. Validation study: An independent group of 288 Memory Clinic patients (mean ± SD age = 76.6 ± 7.9, education = 12.0 ± 2.6; 53.8% female) with diagnoses of mild cognitive impairment (n = 80), probable Alzheimer's disease (n = 185), or major depression (n = 23) and 126 demographically matched, cognitively healthy volunteer participants (age = 75.2 ± 8.8, education = 12.5 ± 2.7; 40% female) partook. All patient and healthy control participants were administered the patient-directed tool, and informants of 113 patient and 70 healthy control participants completed the very short IQCODE. RESULTS: Feasibility study: General practitioners rated the patient-directed tool as highly feasible and acceptable. Validation study: A Classification and Regression Tree analysis generated an algorithm to categorize patient-directed data which resulted in a correct classification rate (CCR) of 81.2% (sensitivity = 83.0%, specificity = 79.4%). Critically, the CCR of the combined patient- and informant-directed instruments (BrainCheck) reached nearly 90% (that is 89.4%; sensitivity = 97.4%, specificity = 81.6%). CONCLUSION: A new and very brief instrument for general practitioners, 'BrainCheck', combined three sources of information deemed critical for effective case-finding (that is, patients' subject impairments, cognitive testing, informant information) and resulted in a nearly 90% CCR. Thus, it provides a very efficient and valid tool to aid general practitioners in deciding whether patients with suspected cognitive impairments should be further evaluated or not ('watchful waiting').

Predicting clinical scores from magnetic resonance scans in Alzheimer's disease.

Machine learning and pattern recognition methods have been used to diagnose Alzheimer's disease (AD) and mild cognitive impairment (MCI) from individual MRI scans. Another application of such methods is to predict clinical scores from individual scans. Using relevance vector regression (RVR), we predicted individuals' performances on established tests from their MRI T1 weighted image in two independent data sets. From Mayo Clinic, 73 probable AD patients and 91 cognitively normal (CN) controls completed the Mini-Mental State Examination (MMSE), Dementia Rating Scale (DRS), and Auditory Verbal Learning Test (AVLT) within 3months of their scan. Baseline MRI's from the Alzheimer's disease Neuroimaging Initiative (ADNI) comprised the other data set; 113 AD, 351 MCI, and 122 CN subjects completed the MMSE and Alzheimer's Disease Assessment Scale-Cognitive subtest (ADAS-cog) and 39 AD, 92 MCI, and 32 CN ADNI subjects completed MMSE, ADAS-cog, and AVLT. Predicted and actual clinical scores were highly correlated for the MMSE, DRS, and ADAS-cog tests (P<0.0001). Training with one data set and testing with another demonstrated stability between data sets. DRS, MMSE, and ADAS-Cog correlated better than AVLT with whole brain grey matter changes associated with AD. This result underscores their utility for screening and tracking disease. RVR offers a novel way to measure interactions between structural changes and neuropsychological tests beyond that of univariate methods. In clinical practice, we envision using RVR to aid in diagnosis and predict clinical outcome.

Final Report: 2007 Alzheimer's Disease Task Force, January 2008

Following an overview of the history of the task force and background information on Alzheimer’s disease, the report is divided into four sections. These sections correspond to the delineation of four subcommittees into which task force members were divided. It should be noted that the term “Alzheimer’s Disease” is used to encompass not only Alzheimer’s disease but also additional brain disorders such as vascular dementia, mixed dementia, mild cognitive impairment, dementia with Lewy bodies, and other types of dementia. Interspersed throughout the report are verbatim comments received from Iowans who responded to on-line surveys about how Alzheimer’s disease has affected their lives. Their words poignantly give voice to the emotions, frustrations, and hopes of Iowans who are personally experiencing the impact of Alzheimer’s disease. The Report includes 22 recommendations to the Iowa General Assembly designed to improve the availability and quality of services for people with dementia, their caregivers, and their families. The recommendations fall into four categories; a) Education and Training; b) Services and Housing; c) Wellness and Disease Management; and, d) Funding and Reimbursement.

Maladie d'Alzheimer: de la pathogénie aux perspectives cliniques [Alzheimer disease: from pathogenetic issues to clinical perspectives].

The aim of this article is a critical review of the main pathogenetic issues debated in Alzheimer disease, with a focus on the clinical perspectives that could derive from. The pertinence of the amyloid cascade hypothesis as a unique and causal explanation of cognitive deterioration is challenged in the light of recent therapeutic failures of clinical trials and increasing role of tau protein in clinical expression. The detection of very early and possibly preclinical stages of the disease emerges as a necessary condition for the efficacy of future amyloid or tau-oriented curative strategies. In this respect, the possibility of finding individual vulnerability markers--in the group of patients with "mild cognitive impairment" or even in cognitively intact subjects--represents a major challenge of the clinical research in this field.

Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease.

The early diagnostic value of glucose hypometabolism and atrophy as potential neuroimaging biomarkers of mild cognitive impairment (MCI) and Alzheimer's disease (AD) have been extensively explored using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (MRI). The vast majority of previous imaging studies neglected the effects of single factors, such as age, symptom severity or time to conversion in MCI thus limiting generalisability of results across studies. Here, we investigated the impact of these factors on metabolic and structural differences. FDG-PET and MRI data from AD patients (n = 80), MCI converters (n = 65) and MCI non-converters (n = 64) were compared to data of healthy subjects (n = 79). All patient groups were split into subgroups by age, time to conversion (for MCI), or symptom severity and compared to the control group. AD patients showed a strongly age-dependent pattern, with younger patients showing significantly more extensive reductions in gray matter volume and glucose utilisation. In the MCI converter group, the amount of glucose utilisation reduction was linked to the time to conversion but not to atrophy. Our findings indicate that FDG-PET might be more closely linked to future cognitive decline whilst MRI being more closely related to the current cognitive state reflects potentially irreversible damage.

How early can we predict Alzheimer's disease using computational anatomy?

Computational anatomy with magnetic resonance imaging (MRI) is well established as a noninvasive biomarker of Alzheimer's disease (AD); however, there is less certainty about its dependency on the staging of AD. We use classical group analyses and automated machine learning classification of standard structural MRI scans to investigate AD diagnostic accuracy from the preclinical phase to clinical dementia. Longitudinal data from the Alzheimer's Disease Neuroimaging Initiative were stratified into 4 groups according to the clinical status-(1) AD patients; (2) mild cognitive impairment (MCI) converters; (3) MCI nonconverters; and (4) healthy controls-and submitted to a support vector machine. The obtained classifier was significantly above the chance level (62%) for detecting AD already 4 years before conversion from MCI. Voxel-based univariate tests confirmed the plausibility of our findings detecting a distributed network of hippocampal-temporoparietal atrophy in AD patients. We also identified a subgroup of control subjects with brain structure and cognitive changes highly similar to those observed in AD. Our results indicate that computational anatomy can detect AD substantially earlier than suggested by current models. The demonstrated differential spatial pattern of atrophy between correctly and incorrectly classified AD patients challenges the assumption of a uniform pathophysiological process underlying clinically identified AD.

Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease

In this paper we present a quantitative comparisons of different independent component analysis (ICA) algorithms in order to investigate their potential use in preprocessing (such as noise reduction and feature extraction) the electroencephalogram (EEG) data for early detection of Alzhemier disease (AD) or discrimination between AD (or mild cognitive impairment, MCI) and age-match control subjects.

La démarche diagnostique des troubles cognitifs chez l'âgé

Cet article retrace une recherche qualitative pluridisciplinaire. Les cinq auteurs - anthropologues, médecin psychiatre, psychologue et sociologue - ont développé une collaboration autour d'une problématique récurrente chez les personnes âgées: les troubles cognitifs associés à l'âge, les difficultés à les diagnostiquer et à communiquer le diagnostic aux patients et à leurs proches. Huit patients et leurs proches se sont rencontrés séparément lors de deux séries d'entretiens sur l'annonce du diagnostic Mild Cognitive Impairment (MCI). Les résultats montrent que la communication du diagnostic MCI n'insuffle pas un tournant dans la trajectoire des patients. Les propos des experts semblent n'avoir qu'un faible impact sur la compréhension qu'ont les patients et leurs accompagnants de la santé mentale des sujets diagnostiqués.

Cerebrospinal fluid soluble amyloid-β protein precursor as a potential novel biomarkers of Alzheimer's disease.

In this report, we confirm our previous findings of increased concentrations of soluble amyloid-β protein precursor (sAβPP) in cerebrospinal fluid (CSF) of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) in a large cohort of patients (n = 314), not overlapping with those of our previous study, and we extend our observations by including a control group of participants with normal cognition. In addition, we investigate the effects of age, the APOEε4 genotype, and the blood-CSF barrier function on the concentrations of sAβPPα and sAβPPβ. The study participants were categorized according to clinical-neuropsychological criteria, supported by CSF neurochemical dementia diagnostics (NDD) analyses. sAβPPα concentrations in the AD group (132.0 ± 44.8) were significantly higher than in the control group (105.3 ± 37.3, p < 0.0005) but did not differ from the MCI-AD group (138.5 ± 39.5, p = 0.91). The MCI-AD group differed significantly from the MCI-O (97.3 ± 34.3, p < 0.05) group. There was no difference between the control and the MCI-O groups (p = 0.94). Similarly, sAβPPβ concentrations in the AD group (160.2 ± 54.3) were significantly higher than in the control group (129.9 ± 44.6, p < 0.005) but did not differ from the MCI-AD group (184.0 ± 56.4, p = 0.20). The MCI-AD group differed significantly from the MCI-O (127.8 ± 46.2, p < 0.05) group. There was no difference between the control and the MCI-O groups (p > 0.99). We observed highly significant correlation of the two sAβPP forms. Age and the CSF-serum albumin ratio were significant albeit weak predictors of the sAβPPα and sAβPPβ concentrations, while carrying the APOEε4 allele did not influenced the levels of the sAβPP forms. Taken together, the results strongly suggest that CSF sAβPP concentrations may be considered as an extension of already available NDD tools.