Dissertations / Theses on the topic 'Alzheimer's disease – Diagnosis'
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Wang, Xueli. "Organic molecules for diagnosis and therapy of Alzheimer's disease." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/883.
Full textAndreasen, Niels. "Search for reliable diagnostic markers for Alzheimer's disease /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4039-8/.
Full textHaigh, Anne-Marie Francoise. "The Alzheimer's Disease Life Events Study." Thesis, Oxford Brookes University, 2009. http://radar.brookes.ac.uk/radar/items/9c1acdb7-0df9-4046-ec50-810f9122e1d0/1.
Full textBogdanovic, Nenad. "Alzheimer's disease : towards a multifaceted approach in neuropathological diagnosis /." Stockholm, 1998. http://diss.kib.ki.se/1998/91-628-2846-0.
Full textSayeed, Abdul. "Positron emission tomography analysis of Alzheimer's disease." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/842834/.
Full textCasson, Roland James. "Making sense of a diagnosis of Alzheimer's disease : partners' experiences." Thesis, University of Hertfordshire, 2004. http://hdl.handle.net/2299/14242.
Full textGonzalez, Murcia Josue David. "Diagnosis and the Role of Chemokine Receptors in Alzheimer's Disease." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8888.
Full textFedotova, M. S. "Current issues in the diagnosis and treatment of Alzheimer's disease." Thesis, БДМУ, 2021. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/18901.
Full textSmith, André P. "Medicalizing intersubjectivity : diagnostic practices and the self in Alzheimer's disease." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36792.
Full textThe dissertation examines the experiences of 16 patients and 37 family members who participated in a multi-disciplinary assessment at a dementia clinic. The participants also include 14 clinicians and staff members from the clinic. The findings are derived from a prospective study that includes in-depth, at-home interviews and observations of clinical assessment activities and research-based genetic counseling. The dissertation examines how memory trouble interferes with the intersubjective fabric of everyday life in families as affected participants lose the ability to meaningfully reciprocate on the basis of their individualistic identities. The analysis emphasizes the role of the clinical assessment, diagnosis, and public description in restoring intersubjective order. A salient aspect of this process is the way in which medicalized interpretations of memory trouble facilitate reinterpretation of the eroding self as being animated by pathology. The self is thus rendered meaningful again as it is being indexed to lay descriptions of what people do and say in AD. The analysis also considers how this process extends to participants who came to perceive themselves as victims of AD although they were assessed as not having a dementia disorder. The dissertation finally considers the impact of acquiring genetic knowledge about AD on interpretations of the self. Overall, the research underscores the loss of self in AD as a phenomenological process that is mediated by familial and institutional contexts.
Kixmiller, Jeffrey S. "Subtyping patients with Senile Dementia of the Alzheimer type using cluster analysis." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/833474.
Full textDepartment of Counseling Psychology and Guidance Services
Goranson, Tamara Elaine. "On diagnosing Alzheimer's disease, assessing abstract thinking and reasoning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ62516.pdf.
Full textGarrison, Lisa Rae. "The syntactic comprehension deficit observed in Alzheimer's patients using an object manipulation task." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27927.
Full textMedicine, Faculty of
Audiology and Speech Sciences, School of
Graduate
Dooley, Jemima Mary Beatrice. "Communicating a diagnosis of dementia." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/27939.
Full textCardona, Francisco Miguel Ribeiro. "Synthesis of new Aβ-ligands useful in diagnosis of Alzheimer's disease." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12243.
Full textAlzheimer’s disease is a chronic progressive neurodegenerative disease and is the most common form of dementia (estimated 50−60% of all cases), associated with loss of memory (in particular episodic memory), cognitive decline, and behavioural and physical disability, ultimately leading to death. Alzheimer’s disease is a complex disease, mostly occurring sporadically with no apparent inheritance and being the age the main risk factor. The production and accumulation of amyloid-beta peptide in the central nervous system is a key event in the development of Alzheimer’s disease. This project is devoted to the synthesis of amyloid-beta ligands, fluorophores and blood brain barrier-transporters for diagnosis and therapy of Alzheimer’s disease. Different amyloid-beta ligands will be synthesized and their ability to interact with amyloid-beta plaques will be studied with nuclear magnetic resonance techniques and a process of lead optimization will be performed. Many natural and synthetic compounds able to interact as amyloid-beta ligands have been identified. Among them, a set of small molecules in which aromatic moieties seem to play a key role to inhibit amyloid-beta aggregation, in particular heteroaromatic polycyclic compounds such as tetracyclines. Nevertheless tetracyclines suffer from chemical instability, low water solubility and possess, in this contest, undesired anti-bacterial activity. In order to overcome these limitations, one of our goals is to synthesize tetracyclines analogues bearing a polycyclic structure with improved chemical stability and water solubility, possibly lacking antibacterial activity but conserving the ability to interact with amyloid-beta peptides. Known tetracyclines have in common a fourth cycle without an aromatic character and with different functionalisations. We aim to synthesize derivatives in which this cycle is represented by a sugar moiety, thus bearing different derivatisable positions or create derivatives in which we will increase or decrease the number of fused rings. In order to generate a potential drug-tool candidate, these molecules should also possess the correct chemical-physical characteristics. The glycidic moiety, not being directly involved in the binding, it assures further possible derivatizations, such as conjugation to others molecular entities (nanoparticles, polymeric supports, etc.), and functionalization with chemical groups able to modulate the hydro/lipophilicity. In order to be useful such compounds should perform their action within the brain, therefore they have to be able to cross the blood brain barrier, and to be somehow detected for diagnostic purposes.
A doença de Alzheimer é uma doença crónica neurodegenerativa e uma das formas mais comuns de demência. Está associada à perda de memória, declínio cognitivo, incapacidade física e comportamental, e, em última análise, pode levar à morte. A doença de Alzheimer é uma doença complexa, ocorrendo na maioria dos casos esporadicamente, sendo a idade o principal fator de risco. A produção e acumulação do péptido beta-amilóide no sistema nervoso central é um facto importante no desenvolvimento da doença de Alzheimer. O principal objetivo deste projeto consiste na síntese de ligandos beta-amilóide, de compostos fluoróforos e transportadores de fármacos através da barreira hematoencefálica para o diagnóstico e tratamento da doença de Alzheimer. Serão sintetizados diversos ligandos do péptido beta-amilóide e estudada a capacidade destes compostos interatuarem com as placas beta-amilóides através de espectroscopia de ressonância magnética nuclear. Será também realizado um estudo de otimização do composto líder. Já foram identificados muitos compostos naturais e sintéticos capazes de interagir com o péptido beta-amilóide, entre eles um conjunto de pequenas moléculas nas quais se constata que a parte aromática possui um papel importante na inibição da sua agregação, nomeadamente compostos hetero-aromáticos policíclicos, tais como as tetraciclinas. Porém as tetraciclinas apresentam instabilidade química, baixa solubilidade em água e possuem atividade antibacteriana, a qual é neste contexto indesejada. De modo a ultrapassar estas limitações, um dos objectivos deste trabalho é sintetizar compostos análogos de tetraciclinas, possuindo uma estrutura policíclica com uma melhor estabilidade química e solubilidade em água e possivelmente não possuindo atividade antibacteriana, mas conservando a capacidade de interação com o péptido beta-amilóide. As tetraciclinas possuem em comum um quarto ciclo sem carácter aromático e possuindo diferentes grupos funcionais. Com este projeto pretende-se sintetizar derivados nos quais este quarto ciclo é constiuído por uma entidade glucídica, portanto, possuindo diferentes posições funcionalizáveis ou criar derivados nos quais se irá acrescentar ou diminuir o número de anéis fundidos. De modo a criar um potencial fármaco, estas moléculas deverão também possuir as corretas propriedades físico-químicas. A entidade glucídica, não estando diretamente envolvida na interação com o péptido beta-amilóide, assegura possíveis derivatizações, tais como a conjugação a outras entidades moleculares (nanopartículas, suportes poliméricos, etc.) e a funcionalização com outros grupos funcionais capazes de modularem as propriedades lipofílicas e hidrofílicas. Estes compostos só serão úteis se atravessarem a barreira hematoencefálica e serem de algum modo detetados para fins de diagnóstico.
Jobst, Kim Anthony. "Neuroimaging in Alzheimer's disease : a longitudinal prospective clinicopathological study." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318899.
Full textCreegan, Rhona. "Identification of plasma lipid biomarkers in Alzheimer's disease." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2014. https://ro.ecu.edu.au/theses/1340.
Full textJones, Phyllis L. (Phyllis Lee). "Caregivers' Appraisal of Alzheimer's Disease Symptoms and the Relationship to Decisions About Care." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278991/.
Full textJackson, Stanita. "Caregivers' Perceptions of an Early Diagnosis of Alzheimer's Disease in African Americans." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2290.
Full textDaniels, Katherine Jean. "Couples' construction of meaning of an Alzheimer's disease diagnosis : a systemic approach." Diss., Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1057.
Full textBen, Ahmed Olfa. "Features-based MRI brain classification with domain knowledge : application to Alzheimer's disease diagnosis." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0002/document.
Full textContent-Based Visual Information Retrieval and Classification on Magnetic Resonance Imaging (MRI) is penetrating the universe of IT tools supporting clinical decision making. A clinician can take profit from retrieving subject’s scans with similar patterns. In this thesis, we use the visual indexing framework and pattern recognition analysis based on structural MRIand Tensor Diffusion Imaging (DTI) data to discriminate three categories of subjects: Normal Controls (NC), Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). The approach extracts visual features from the most involved areas in the disease: Hippocampusand Posterior Cingulate Cortex. Hence, we represent signal variations (atrophy) inside the Region of Interest anatomy by a set of local features and we build a disease-related signature using an atlas based parcellation of the brain scan. The extracted features are quantized using the Bag-of-Visual-Words approach to build one signature by brain/ROI(subject). This yields a transformation of a full MRI brain into a compact disease-related signature. Several schemes of information fusion are applied to enhance the diagnosis performance. The proposed approach is less time-consuming compared to the state of thearts methods, computer-based and does not require the intervention of an expert during the classification/retrieval phase
Jelic, Vesna. "Early diagnosis of Alzheimer's disease : focus on quantitative EEG in relation to genetic, biochemical and neuroimaging markers /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3431-2/.
Full textEveritt, Alaina. "Differential Scoring Patterns on the Clock Drawing Test: a Comparison of Vascular Dementia and Alzheimer's Dementia." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5283/.
Full textSchafer, Nicole D. "Targeting Tau Aggregation for the Diagnosis and Treatment of Alzheimer’s Disease." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366219959.
Full textDavis, Tommy E. Jr. "The Effectiveness of the Geriatric Depression Scale to Distinguish Apathy From Depression in Alzheimer's Disease and Related Dementias." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9109/.
Full textTeo, Arnold, and Daniel Tsada Yosief. "Influence of T1 and T2 weighted MRI images on automated diagnosis of Alzheimer's disease." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301735.
Full textAlzheimers sjukdom (AD) är den vanligaste formen av demens och enligt Världshälsoorganisationen bidrar den till 60-70% av de approximativt 50 miljoner totala globala demensfallen. Medan AD är lätt att diagnostisera enbart utifrån en patients symptom, på grund av att AD atrofierar hjärnvävnad, kan en Magnetisk Resonanstomografisk (MR) undersökning stärka diagnosen. Datorassisterad diagnostisering (CAD) avser användningen av maskininlärningsmetoder för hjälp med diagnostisering. Huvudsyftet med CAD är att hjälpa, främst radiologer, med en andra åsikt vid en diagnos och minska mängden falska diagnoser. I vissa fall kan CAD också hjälpa med tidig upptäckt av AD och därmed ge patienten möjlighet att vidta förebyggande åtgärder. Denna studie undersöker påverkan av T1- eller T2-viktade MR-bilder på automatiska diagnostiseringen av AD med hjälp av Djupa Neurala Nätverket (DNN) VGG-16. Tidigare studier har undersökt klassificeringsnoggrannheten för olika algoritmer eller artificiella neurala nätverk på MR-bilder för automatisk diagnostisering av AD. Valet av MR-viktning varierar i dessa studier och resonemang för valet av viktning ges inte uttryckligen. Denna studie syftar således till att svara på om valet av MR-viktning kan påverka klassificeringsnoggrannheten på AD vid användning av automatiserad diagnos, och i så fall hur betydande? Två av de vanligaste MR-vikterna valdes för studien, T1 och T2. 149 bilder av vardera viktning samlades manuellt från ADNI-databasen och användes för träning och validering av VGG-16 DNN. Den resulterande skillnaden i klassificeringsnoggrannheten var betydlig, där T1 hade en genomsnittlig noggrannhet på 59.41% och T2 ett genomsnitt på 74.71%. Den erhållna slutsatsen var att valet av T1- eller T2-viktade bilder kan ha ett betydande inflytande på klassificeringsnoggrannheten för en vald CAD-metod. Mer forskning behöver dock göras för att se om resultaten av denna studie upprepas för andra algoritmer och/ eller för större datamängder.
Pan, Xiaoxi. "Towards FDG-PET image characterization and classification : application to Alzheimer's disease computer-aided diagnosis." Thesis, Ecole centrale de Marseille, 2019. http://www.theses.fr/2019ECDM0008.
Full textAlzheimer's disease (AD) is becoming the dominant type of neurodegenerative brain disease in elderly people, which is incurable and irreversible for now. It is expected to diagnose its early stage, Mild Cognitive Impairment (MCI), then interventions can be applied to delay the onset. Fluorodeoxyglucose positron emission tomography (FDG-PET) is considered as a significant and effective modality to diagnose AD and the corresponding early phase since it can capture metabolic changes in the brain thereby indicating abnormal regions. Therefore, this thesis is devoted to identify AD from Normal Control (NC) and predict MCI conversion under FDG-PET modality. For this purpose, three independent novel methods are proposed. The first method focuses on developing connectivities among anatomical regions involved in FDG-PET images which are rarely addressed in previous methods. Such connectivities are represented by either similarities or graph measures among regions. Then combined with each region's properties, these features are fed into a designed ensemble classification framework to tackle problems of AD diagnosis and MCI conversion prediction. The second method investigates features to characterize FDG-PET images from the view of spatial gradients, which can link the commonly used features, voxel-wise and region-wise features. The spatial gradient is quantified by a 2D histogram of orientation and expressed in a multiscale manner. The results are given by integrating different scales of spatial gradients within different regions. The third method applies Convolutional Neural Network (CNN) techniques to three views of FDG-PET data, thereby designing the main multiview CNN architecture. Such an architecture can facilitate convolutional operations, from 3D to 2D, and meanwhile consider spatial relations, which is benefited from a novel mapping layer with cuboid convolution kernels. Then three views are combined and make a decision jointly. Experiments conducted on public dataset show that the three proposed methods can achieve significant performance and moreover, outperform most state-of-the-art approaches
Gibson, Allison K. "Examining the Experiences of Caregivers During the Diagnosis of Alzheimer’s Disease and Related Dementias." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275071723.
Full textCisek, Katryna. "Rational Optimization of Small Molecules for Alzheimer’s Disease Premortem Diagnosis." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338325484.
Full textTarantello, Concetta. "The role of subjective memory complaints in predicting cognitive impairment associated with future Alzheimer’s disease: a community based study." Thesis, The University of Sydney, 2009. http://hdl.handle.net/2123/6190.
Full textTarantello, Concetta. "The role of subjective memory complaints in predicting cognitive impairment associated with future Alzheimer’s disease: a community based study." University of Sydney, 2009. http://hdl.handle.net/2123/6190.
Full textIn recent years there has been a substantial increase in research examining the role of subjective memory complaints (SMC) in cognitive function and Alzheimer’s disease. These studies have related SMC to many different cognitive outcomes, such as retaining normal cognitive function, a fluctuating cognitive performance and the development of Alzheimer’s disease. Most of these studies have focused on older populations and have employed a limited assessment of cognitive function. This limits the available evidence regarding the clinical utility of SMC. The literature on the role of SMC in younger subjects is scarce. It is not known whether memory complaints are useful in predicting future cases of Alzheimer’s disease in younger community-based subjects. Aims: The main aim of the present study was to determine whether SMC predict the development of cognitive impairment in a younger cohort of subjects, many of whom were under the age of 70 years (73%), based on their risk profile and neuropsychological assessment. A further aim was to ascertain whether the DRS or 7MS are sensitive screening tools for MCI and examine whether the presence of SMC affects the 3-year cognitive outcome of subjects. To address these aims, this study consisted of two parts: a cross-sectional design and a longitudinal follow-up component. Methods: This study was carried out with 86 community-dwelling subjects recruited via advertisement within the catchment area of Central Sydney Area Health Service. The mean age of the subjects was 63.1 years (SD=8.4). Subjective memory complaints were assessed using a single question. Cognitive function was assessed using a comprehensive battery of tests, selected on the basis of their sensitivity to identifying cognitive impairment typically associated with Alzheimer’s disease. After the initial analysis between those with SMC and without SMC, subjects were further classified according to their performance on an episodic memory task (i.e., delayed verbal recall, Rey, 1964) as having normal memory function, SMC or aMCI. Results: Part 1 - Subjective memory complaints (SMC) were reported by 63% of the sample. The initial analysis between subjects with SMC (n=54) and without SMC (n=32) suggested an initial relationship between SMC and cognitive functioning. Subjects with SMC had impaired global cognitive functioning on two brief screening tests (7MS and DRS), working memory, verbal recall and visuomotor speed. However, subsequent screening with the delayed verbal recall test showed that 12 of the 54 subjects with SMC demonstrated significant cognitive impairment, scoring 2 SD below the control group mean. After these subjects were removed to form the aMCI group, the cognitive differences between subjects with SMC and without SMC were no longer apparent. Subjects with aMCI showed evidence of multiple cognitive deficits (below 1 SD of control group mean) with a high percentage of subjects demonstrating impairment on tests of verbal learning, verbal recall, verbal ability and visuomotor speed. Further analysis showed a significant association between age and subjects identified as having SMC (r=-.581, p<.001) and aMCI (r=.692, p<.001). From the age of 60 onwards, both the SMC and aMCI groups demonstrated a more rapid cognitive decline with increasing age in several cognitive domains. Part 2 - After a mean interval of 3.2 years, 43 subjects were followed up. Subjects with aMCI showed evidence of greater decline on both screening tests (7MS; DRS), whilst the SMC group had significantly higher scores. This trend was also apparent with other neuropsychological testing. The analysis of change over time in cognitive function showed that the majority of subjects (both SMC aMCI) either remained stable or improved their cognitive performance. It is likely that the small sample size and short follow-up interval of the present study contributed to the present observation of no change in cognitive function over time. Discussion: The present findings suggest that subjective memory complaints are a poor predictor of cognitive function. In isolation, SMC are unlikely to be useful for identifying cases with significant cognitive impairment. This is particularly relevant for subjects under the age of 70 years. However, for subjects over the age of 70 years, SMC are likely to identify significant cases with neuropsychological assessment (such as animal fluency and delayed recall). Conclusion: The present study showed that SMC are a poor predictor of cognitive function in subjects under the age of 70 years. This study provided evidence that selected and relatively quick to administer formal neuropsychological tests of cognitive function (in particular tests of animal fluency and delayed recall) are better able to identify those at risk of developing cognitive impairment associated with Alzheimer’s disease, at an earlier age. This would thus allow exposure to earlier treatment options, such as donepezil, aricept, vitamin E, and memantine”.
Stepenosky, Nicholas. "Data fusion of complementary information from parietal and occipital event related potentials for early diagnosis of Alzheimer's disease /." Full text available online, 2006. http://www.lib.rowan.edu/find/theses.
Full textPerry, Richard James. "Attention and executive function in the differential diagnosis of Alzheimer's disease and other cortical dementias." Thesis, Imperial College London, 2005. http://hdl.handle.net/10044/1/8825.
Full textBeckett, Christina. "VARIANCE OF THE AMYLOID BETA PEPTIDE AS A METRIC FOR THE DIAGNOSIS OF ALZHEIMER'S DISEASE." UKnowledge, 2016. http://uknowledge.uky.edu/medsci_etds/6.
Full textAnand, Swati. "Discovery of Low-Molecular Weight Novel Serum Biomarkers for Diagnosing Preeclampsia and Alzheimer's Disease." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6200.
Full textMoren, Mark G. "Predictive utility of neuropsychological measures and single photon emission computed tomography (SPECT) in the classification of cerebral perfusion deficits in dementia of the Alzheimer type (DAT)." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/1001181.
Full textDepartment of Educational Psychology
Topalis, Apostolos. "Multiresolution wavelet analysis of event-related EEG potentials using ensemble of classifier data fusion techniques for early diagnosis of Alzheimer's disease /." Full text available online, 2006. http://www.lib.rowan.edu/find/theses.
Full textBegnoche, Normand B. "Effectiveness of the Neurobehavioral Cognitive Status Examination in Assessing Alzheimer's Disease." Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278136/.
Full textMcGonigal, G. "The epidemiology of presenile Alzheimer's disease in Scotland (1974-1988) : diagnosis, incidence rate and natural history." Thesis, University of Glasgow, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517823.
Full textLindau, Maria. "Clinical differentiation between frontotemporal dementia and Alzheimer's disease : psychometric, behavioral, neuroimaging and neurophysiological information /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-430-5/.
Full textKolanowski, Mikael, and David Stevens. "A Comparative Study of the Effect of Features on Neural Networks within Computer-Aided Diagnosis of Alzheimer's Disease." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255260.
Full textAlzheimers sjukdom är en form av demens som påverkar ungefär 6% av den globala befolkningen som är äldre än 65 och förutspås bli ännu vanligare i framtiden. Tidig diagnos av sjukdomen är viktigt för att säkerställa högre livskvalitet för patienten. En viktig utveckling inom fältet är datorstödd diagnos av sjukdomen med hjälp av maskininlärning. Dagens forskning fokuserar på att ta bort subjektiva antaganden om datamängden som används, men har ofta även förkastat objektiv metadata såsom patientens ålder, kön eller tidigare medicinska historia. Denna studier ämnade därför undersöka om inkluderandet av denna metadata ledde till bättre prestanda hos neuronnät som används för datorstödd diagnos av Alzheimers genom binär klassificering av bilder tagna med magnetisk resonanstomografi. Två snarlika neuronnät utvecklades och jämfördes, med skillnaden att den ena även tog metadata om patienten som indata. Inkluderandet av metadatan ledde till en markant ökning i neuronnätets prestanda, och bör därför övervägas i framtida system för datorstödd diagnos av Alzheimers sjukdom.
Dhiman, Kunal. "Utility of CSF biomarkers for the diagnosis, prognosis and assessment of cognitive decline in Alzheimer’s disease." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2284.
Full textLong, Xiaojing. "Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/40396.
Full textPh. D.
Simons, Samantha M. "Analysis of brain signals with advanced signal processing techniques to help in the diagnosis of Alzheimer's disease." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/813461/.
Full textKjellberg, Gustav, and Henrik Kälvegren. "A comparison of classification accuracy between MRI and PET datasets in computer aided diagnosis of Alzheimer's disease." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229704.
Full textAntalet människor drabbade av Alzheimers sjukdom (AD) förväntas öka kraftigt de kommande åren. Att kunna diagnostisera sjukdomen tidigt är nyckeln till att ge dem insjukna en chans att leva ett liv av högre kvalitet. Ett av de vanligaste sätten att upptäcka AD är att visuellt undersöka bilder från hjärnskanningar av patienter. Datorassisterad diagnostisering (CAD) kan hjälpa en läkare i sitt omdöme vid undersökning för sjukdomen i hjärnbilderna, vilket ökar omdömets pålitlighet. Framsteg har gjorts inom området genom åren. Den här studien undersöker bedömningssäkerheten av maskinlärningsmetoder i klassifiering av AD på bilder från två olika skanningsmetoder för hjärnan - Magnetisk resonanstomografi (MRI) och Positronemissionstomografi (PET). Både PET- och MRI-datamängderna innehöll 60 bilder. 30 av bilderna var AD-fall och 30 var normala fall i varje datamängd. Bilderna processerades till endimensionella signaler med Discrete wavelet transform (DWT). Klassifieringssäkerheten av Support vector machine (SVM), Random forest (RF) och Naive bayes (NB) framtogs och utvärderades därefter med 6-delad korsvalidering (CV). Studien visade att PET-bilder är att föredra vid diagnostisering av AD med maskininlärningsklassifierare framför MR-bilder. Den högsta bedömningssäkerheten för PET och MRI utifrån 6-delad CV var 100 % och 90 % respektive. Den lägsta säkerheten var 60 % för PET and 40 % för MRI.
Chan, Cho-cheong, and 陳楚莊. "Magnetic resonance elastography: neuronal andmuscular studies, and a novel acoustic shear wave generator." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38643868.
Full textKleiren, Emilie. "Towards an early diagnosis of Alzheimer's disease: development of an ATR-FTIR biosensor for the detection of Abeta toxic conformations." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209415.
Full textGiven that present guidelines for AD diagnosis are increasingly considered as ill-defined, reliable and early-stage detection methods taking into account the presence of toxic Abeta species are highly awaited by the medical community. In this regard, this thesis work describes the development of a sensing device aiming at the specific detection of the amyloid beta peptide in solution via recognition by antibodies grafted at the surface of functionalized germanium crystals. This new type of BIA-ATR (Biospecific Interaction Analysis - Attenuated Total Reflection) biosensor resorts on ATR-FTIR (Attenuated Total Reflection - Fourier Transform Infrared) spectroscopy, which is extremely sensitive to the secondary structure of proteins. The ATR mode uses germanium as optical transduction element combined to the evanescent wave principle to allow selective online monitoring of peptide-antibody binding events.
In the first part of this work, evaluation of the photochemistry on germanium optical elements have been the subject of intense research focus. Our investigations led to the elaboration of a quality control of functionalization efficiency based on infrared spectroscopy. We also set up in the lab an original ELISA method for selecting antibodies in terms of their true affinity for the Abeta peptide.
Thereafter binding experiments were carried out on the BIA-ATR sensor using different antibodies and Abeta isoforms, leading to the establishing of a standardized protocol for the detection of molecules of interest. Our results showed that Abeta detected on the biosensor corresponded precisely to antibody-bound peptide, whereas Abeta assemblies, and especially Abeta 1-42 oligomeric conformations, could be discriminated with respect to their spectral signature. This point, which was later confirmed by unsupervised statistical analysis, could be considered as particularly interesting and innovative, since to our knowledge, such conformation-sensitivity has never been observed with existing AD diagnostic methods. Moreover, effective recycling of the functionalized crystals has been demonstrated, which confers thereby a second major advantage to the biosensor.
In parallel to these experiments, a structural characterization study of Abeta species was undertaken in order to generate a database of IR spectra, as reference for future comparative analysis of physiological fluids on the biosensor. ATR-FTIR measurements revealed a strong dependency on the ratio between oligomers and fibrils within a mixture and their relative ratio in antiparallel and parallel beta-sheet content. Interestingly, separation trials of oligomeric entities demonstrated a specific effect of Cu2+ ions on Abeta aggregation. Stabilization of small oligomeric aggregates at equimolar Cu2+:Abeta ratios, which had never been clearly evidenced so far, could help to unravel some aspects of the complex role of copper in AD development.
These investigations illustrate the applicability of the so-called BIA-ATR methodology to online detection of different forms of the Abeta peptide in solution and the potential of this new sensor technology to fulfill current pitfalls in providing a reliable and comprehensive approach of AD diagnosis.
Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished
Gu, Jiamin [Verfasser], Boris [Akademischer Betreuer] Schmidt, and Katja [Akademischer Betreuer] Schmitz. "Design, synthesis and evaluation of fluorescent probes for the diagnosis of Alzheimer's disease and Parkinson's disease / Jiamin Gu. Betreuer: Boris Schmidt ; Katja Schmitz." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2013. http://d-nb.info/1106454146/34.
Full textClarnette, Roger M. "Predictors of cognitive decline in those with subjective memory complaint." University of Western Australia. School of Psychiatry and Clinical Neurosciences, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0245.
Full textJensen, Jordan Royce. "Development of Tau-Selective Imaging Agents for Improved Diagnosis of Alzheimer’s Disease and Other Tauopathies." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306441097.
Full textClague, Fiona. "The early diagnosis of Alzheimer's disease and related dementias using tests of people naming and cross-modal associative learning." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615022.
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