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Dissertations / Theses on the topic 'Alzheimer's disease – Diagnosis'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Wang, Xueli. "Organic molecules for diagnosis and therapy of Alzheimer's disease." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/883.

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Alzheimer's disease has become one of the most common diseases jeopardizing the health of the human being. The main pathological feature of AD is the accumulation of Aβ in the brain to form senile plaques. Therefore, it is of great significance to develop new and efficient drugs targeting at amyloid-β for the detection, diagnosis and therapeutics for Alzheimer's disease. Xanthohumol (Xn) naturally presents in hops (Humulus lupulus L). Studies have shown that it has anti-lipoperoxidative, anti-inflammatory, anti-proliferative activities, antiangiogenic and antioxidant effects, which further ill

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2

Andreasen, Niels. "Search for reliable diagnostic markers for Alzheimer's disease /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4039-8/.

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3

Haigh, 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.

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The Alzheimer's Disease Life Events study examines whether there is a relationship between life events and Alzheimer's disease (AD). The ADLE study uses a mixed methods approach to answer the central research question:Are life events a risk factor for Alzheimer's disease? The central research question uses the following theory questions to examine:1. Is there a difference between the number of life events between patients and controls, using the Life Events and Difficulties Schedule (LEDS)(Brown and Harris, 1978) as a measurement tool?2. Is there a difference in the way (i.e. positive, neutral

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4

Bogdanovic, Nenad. "Alzheimer's disease : towards a multifaceted approach in neuropathological diagnosis /." Stockholm, 1998. http://diss.kib.ki.se/1998/91-628-2846-0.

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5

Sayeed, Abdul. "Positron emission tomography analysis of Alzheimer's disease." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/842834/.

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Alzheimer's Disease (AD) is a major concern for the elderly population, currently affecting over 670,000 people in the UK. With the continual increase in the age of the population the problem is expected to rise. There is no known cure to the condition and a definite diagnosis cannot be made in life. Clinical diagnosis is considered to be approximately 80% - 90% accurate, sometimes taking up to a year to assess. Early detection could aid in the care and possible development of better treatments or even a cure. AD has been shown to alter the structure and global texture of the brain. Studies us

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6

Casson, Roland James. "Making sense of a diagnosis of Alzheimer's disease : partners' experiences." Thesis, University of Hertfordshire, 2004. http://hdl.handle.net/2299/14242.

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Objectives This study aimed to explore the personal experiences and meanings that people develop in response to their partner being diagnosed with Alzheimer's disease, and how these inform the ways in which they cope with and manage their situation in the early stages. Method In-depth interviews were conducted with four women whose partners had received a diagnosis of early-stage Alzheimer's disease from specialist services within the past six months. Interpretative Phenomenological Analysis was used to identify themes running within their accounts. Results Three key themes emerged from the an

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7

Gonzalez, Murcia Josue David. "Diagnosis and the Role of Chemokine Receptors in Alzheimer's Disease." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8888.

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Alzheimer’s disease (AD) is the most common neurodegenerative disorder and is the main cause of dementia in the elderly population. AD is pathologically characterized by the accumulation of amyloid plaques and neurofibrillary tangles that results in neurodegeneration and loss of memory function. However, diagnosis of AD and characterization of biological mechanisms that lead to pathology and modulate risk for disease has proven to be extremely difficult. Cerebrospinal fluid (CSF) contains critical biomarkers for AD such as levels of amyloid beta (Aβ) phosphorylated-tau (p-tau), total-tau (t-ta

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8

Fedotova, 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.

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9

Smith, 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.

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Alzheimer's disease (AD) is a condition marked by progressive intellectual decline and memory loss, which typically affects individuals over the age of 60. Its origins are unknown but genetic factors are suspected in some cases. There is limited information about the subjective experience of AD although it is often described as a calamity that inevitably destroys the self irrespective of its victims' social circumstances. This dissertation offers an alternative to this nihilistic portrayal that draws on a critical phenomenological framework. It explores the loss of self as an intersubjective p

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10

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.

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The purpose of this study was to determine if distinct subgroups of patients with Senile Dementia of the Alzheimer Type (SDAT) could be identified using seven scales of the Cognitive Behavior Rating Scale (CBRS). Ward's method of cluster analysis was used to group 104 patients with a probable diagnosis of SDAT into subtypes.The following three clusters were identified: (a) Moderately Impaired, (b) Severely Impaired, and (c) Emotionally Intact which displayed differences in symptom severity. Clusters could be partially defined by the amount of time they had been diagnosed with the disease. Diff

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11

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.

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12

Garrison, 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.

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In the present study, the syntactic deficit of Alzheimer's patients was investigated, using an object manipulation task. Four case studies were presented, using data from test batteries devised by Caplan (pers. comm.) and the author. Subjects responded by acting out stimulus sentences presented in aural and written modes, using a set of small figurines. Responses were evaluated following criteria described by Caplan (1986, pers. comm.). Data from the four subjects were compared with each other, and with data obtained from a similar battery administered to aphasic patients. An impairment in the

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13

Dooley, Jemima Mary Beatrice. "Communicating a diagnosis of dementia." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/27939.

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Background: There has been a rise in dementia awareness, with policy changes leading to increased diagnosis rates. However, the stigma of dementia is likely to cause challenges in diagnostic communication. This is complicated by the effect of dementia on cognitive functioning. The aims of this study were to (1) identify how diagnoses of dementia are communicated, (2) identify how people with dementia respond to the diagnosis, and (3) explore doctors’ perspectives on dementia diagnosis delivery. Methodology: A systematic literature review was conducted. Twenty doctors from 9 memory clinics acro

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14

Cardona, 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.

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Doutoramento em Química<br>Alzheimer’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

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15

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.

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16

Creegan, 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.

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Alzheimer’s disease (AD), the commonest form of dementia, is a chronic, progressive neurodegenerative disease which manifests clinically as a slow global decline in cognitive function, including deterioration of memory, reasoning, abstraction, language and emotional stability, culminating in a patient with end-stage disease, totally dependent on custodial care. With an ageing population, there is predicted to be a marked increase in the number of people diagnosed with AD in the coming decades, making this a significant challenge to socio-economic policy and aged care. Currently there is no cur

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17

Jones, 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/.

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The purpose of the present study was to compare 42 community-dwelling spouse and child Alzheimer's Disease caregivers with 38 community-dwelling potential caregivers on salience of illness symptoms, and accuracy of judging symptoms of illnesses.

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18

Jackson, Stanita. "Caregivers' Perceptions of an Early Diagnosis of Alzheimer's Disease in African Americans." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2290.

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Alzheimer's disease (AD) is significantly more prevalent among African Americans than within the general population, but rates of early detection are lower in the African American community. Researchers have demonstrated that both pessimistic Alzheimer's-directed health beliefs, and negative perceptions of the effectiveness and the accessibility of medical care act as barriers to care seeking by African American family members of individuals with the disease. Recent research into causal judgments made by potential caregivers about individuals with undiagnosed AD suggests that gender bias and e

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19

Daniels, 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.

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20

Ben, 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.

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Les outils méthodologiques en indexation et classification des images par le contenu sont déjà assez matures et ce domaine s’ouvre vers les applications médicales. Dans cette thèse,nous nous intéressons à l'indexation visuelle, à la recherche et à la classification des images cérébrales IRM par le contenu pour l'aide au diagnostic de la maladie d'Alzheimer (MA). L'idée principale est de donner au clinicien des informations sur les images ayant des caractéristiques visuelles similaires. Trois catégories de sujets sont à distinguer: sujets sains (NC), sujets à troubles cognitifs légers (MCI) et

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21

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/.

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22

Everitt, 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/.

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This study examined differences in scoring patterns among those diagnosed with Alzheimer's dementia and vascular dementia on the clock-drawing test. Archival clock drawing data was retrieved on 279 patients presenting at a county hospital-based memory clinic. Analysis of drawings was based on frequency of qualitative errors, as well as an overall quantitative score. Mean comparisons found those patients with Alzheimer's dementia to perform worse on both quantitative and qualitative scoring measures. However, Pearson's chi-squared test revealed a significantly higher rate of spacing errors am

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23

Schafer, 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.

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24

Davis, 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/.

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Early detection of Alzheimer's disease (AD) and related dementias in the elderly is critical for improving treatment methods and is a necessary component for improving public health interventions. One of the earliest and most common behavioral syndromes of AD is apathy and is associated with executive dysfunction. Apathy in AD is often misdiagnosed as depression due to an overlap in symptoms. Studies that have found depression to be associated with executive dysfunction have not always controlled for the presence of apathy. The Geriatric Depression Scale (GDS) is a widely used instrument desig

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25

Teo, 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.

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Alzheimer’s Disease (AD) is the most common form of dementia and according to the World Health Organization it contributes to 60-70% of the approximately 50 million total worldwide dementia cases. While AD is easy to diagnose from a patient’s symptoms alone, due to AD atrophying brain tissue, a Magnetic Resonance Imaging (MRI) scan can strengthen the diagnosis. Computer-Aided Diagnosis (CAD) refers to the use of machine learning methods for assistance with diagnosis. The main purpose of CAD is to assist, primarily radiologists, with a second opinion in a diagnosis and reduce the amount of fals

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26

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.

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La maladie d’Alzheimer (MA) est la maladie neurodégénérative--incurable et irréversible pour le moment--la plus répandue chez les personnes âgées. On s’attend à ce qu’elle soit diagnostiquée à son stade précoce, Mild Cognitive Impairment (MCI), pour pouvoir intervenir et retarder son apparition. La tomographie par émission de positons au fluorodésoxyglucose (TEP-FDG) est considérée comme une modalité efficace pour diagnostiquer la MA et la phase précoce correspondante, car elle peut capturer les changements métaboliques dans le cerveau, indiquant ainsi des régions anormales. Cette thèse est co

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27

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.

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28

Cisek, 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.

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29

Tarantello, 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.

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In 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 you

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Tarantello, 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.

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Doctor of Philosophy(PhD)<br>In 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 literat

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31

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.

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32

Perry, 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.

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33

Beckett, 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.

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Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder associated with aging. AD is by far the best understood and most studied neurodegenerative disease. Substantial advances have been made over the last decade, however it is debatable how much closer we are to a clinically useful therapy. A long standing goal in the AD field has been to improve the accuracy of early detection, with the assumption that the ability to intervene earlier in the disease process will lead to a better clinical outcome. Major facets of this effort have been the continued development and improvemen

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Anand, 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.

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Preeclampsia (PE), a life threatening pregnancy-related disorder, is characterized mainly by new onset of hypertension and proteinuria after 20 weeks of gestation. Currently, PE cannot be predicted prior to onset of symptoms and there is no cure for the disease. There is a clear value in having biomarkers able, early in a pregnancy, to identify women at risk for PE so that proper treatment therapies could be developed. Although a number of serum candidate markers have been proposed to be altered in PE patients, their use is limited due to poor sensitivity and specificity. Therefore, there is o

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35

Moren, 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.

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The general purpose of this study was to investigate the relationship between neuropsychological tests scores and perfusion deficits, based upon measures of regional cerebral blood flow (rCBF) taken from the single photon emission computed tomography (SPECT) scans of patients suffering from dementia of the Alzheimer type (DAT). The study was designed to determine if DAT patients categorized as having left hemisphere, right hemisphere, diffuse, or an absence of perfusion deficits, as measured by SPECT, would be accurately grouped into their respective categories, and if they would exhibit the c

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36

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.

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37

Begnoche, 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/.

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Accurate, early diagnosis of Alzheimer's Disease is becoming increasingly important in light of its growing prevalence among the expanding older-aged adult population. Due to its ability to assess multiple domains of cognitive functioning and provide a profile of impairment rather than a simple global score, the Neurobehavioral Cognitive Status Examination (NCSE) is suggested to better assess such patterns of cognitive deficit for the purpose of diagnosis. The performance of the NCSE was compared with that of the Mini-Mental State Examination (MMSE) for diagnostic sensitivity in a sample of pa

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38

McGonigal, 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.

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39

Lindau, 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/.

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40

Kolanowski, 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.

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Alzheimer’s disease is a neurodegenerative disease that affects approximately 6% of the global population aged over 65 and is forecasted to become even more prevalent in the future. Accurately diagnosing the disease in an early stage can play a large role in improving the quality of life for the patient. One key development for performing this diagnosis is applying machine learning to perform computer-aided diagnosis. Current research in the field has been focused on removing assumptions about the used data sets, but in doing so they have often discarded objective metadata such as the patient’

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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.

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Alzheimer’s disease (AD) is a slow and progressive neurodegenerative disorder.With new treatment strategies failing in clinical trials, there is a need to initiate a targeted treatment strategy, by administering the right medication, to the right individual, at the right stage. This concept of precision medicine not only requires diagnosis at the preclinical stage, but a thorough understanding of the stage-associated neuropathological changes that occur along the continuum of AD. Pathophysiological biomarkers indicative of neuropathological changes in the brain are needed to identify the precl

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Long, Xiaojing. "Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/40396.

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Alzheimer's disease~(AD) is the most frequent neurodegenerative dementia and a growing health problem. Early and accurate diagnosis and prediction of AD is crucial because treatment may be most efficacious if introduced as early as possible. Neuropsychological testing, which is clinically used, sometimes fails to recognize probable dementia, especially to recognize the disease at an early time point such as the mild cognitive impairment~(MCI), which is the prodromal stage of AD. Recently, there has been a realization that magnetic resonance imaging~(MRI) may help diagnoses of AD and MCI. In t

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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/.

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Alzheimer’s disease (AD) is the most prevalent form of dementia in the world. Symptoms include progressive memory, cognitive and behavioural changes before death, caused by amyloid plaques and hyperphosphorated tau in the brain. The cause of AD is currently unknown and current interventions only slow the decline. Diagnosis is based on patient and familial history, interviews with close family and friends, cognitive, mental and physical tests. The electroencephalogram (EEG) records the electrical signals of the brain, which AD, as a cortical dementia, is known to directly affect. Non-linear sig

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Kjellberg, 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.

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The number of people suffering from Alzheimer’s disease (AD) is expected to increase rapidly in the coming years. Diagnosing the disease early is key to giving those affected a chance to maintain a higher quality of life. One of the most common ways to detect AD is to visually inspect scans of the patients’ brains. Computer aided diagnosis (CAD)can assist a physician’s judgement when searching for the disease in the brain scans, making the assessment more accurate. Progress has been made in this field throughout the years. This paper compares the machine learning classification accuracy of AD

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45

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.

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46

Kleiren, 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.

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As the most prevalent cause of dementia worldwide, Alzheimer’s disease (AD) has become a global issue of public health. By current criteria, diagnosis of this neurodegenerative disorder requires both clinical confirmation of dementia and post-mortem detection of the so-called neurofibrillary tangles and senile plaques in the brain. Yet the main proteinaceous component of these plaques, the amyloid beta peptide (Abeta) is now widely believed to initiate a cascade of events that ultimately leads to Alzheimer’s disease. Besides, extensive evidence supports a pathogenic role of soluble oligomers f

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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.

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48

Clarnette, 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.

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[Truncated abstract] Background: Dementia, largely due to Alzheimer's disease (AD), is a major public health problem. The early identification of disease is an important challenge for clinicians because treatment of AD is now available. A simple and accurate means of stratifying risk for AD and identifying early disease is needed so that risk factor modification and treatment can occur optimally. To date, despite many attempts, an accurate means of standardising an approach to the assessment of subtle cognitive symptoms has not been developed. A subjective complaint of poor memory has been ide

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49

Jensen, 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.

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Clague, 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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