Browsing Faculty of Science and Technology by Subject "demens"

Now showing items 1-8 of 8

    • The combined effect of amyloid-β and tau biomarkers on brain atrophy in dementia with Lewy bodies 

      Abdelnour, Carla; Ferreira, Daniel; Oppedal, Ketil; Cavallin, Lena; Bousiges, Olivier; Wahlund, Lars Olof; Hort, Jakub; Nedelska, Zuzana; Padovani, Alessandro; Pilotto, Andrea; Bonanni, Laura; Kramberger, Milica Gregoric; Boada, Mercè; Westman, Eric; Pagonabarraga, Javier; Kulisevsky, Jaime; Blanc, Frédéric; Aarsland, Dag (Peer reviewed; Journal article, 2020-07)
      Background Alzheimer’s disease (AD)-related pathology is frequently found in patients with dementia with Lewy bodies (DLB). However, it is unknown how amyloid-β and tau-related pathologies influence neurodegeneration in ...

    • Data-assisted differential diagnosis of dementia by deep neural networks 

      Larsen, Simen Norrheim (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-29)
      There are currently 50 million people suffering from dementia worldwide. With an increasing life expectancy of the elderly, this number is expected to increase drastically over the next decade. With today's diagnosis of ...

    • Dementia classification using deep learning and texture analysis methods on magnetic resonance images 

      Risanger, Rune (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Dementia is becoming an increasingly severe economical and socio-economical disease, as treatment is problematic, with different disease variants difficult to prevent and delay. With a rise in life expectancy, further ...

    • Early constipation predicts faster dementia onset in Parkinson's disease 

      Camacho, Marta; Macleod, Angus D.; Grødem, Jodi Maple; Evans, Jonathan R.; Breen, David P.; Cummins, G; Wijeyekoon, Ruwani; Greenland, Julia; Alves, Guido Werner; Tysnes, Ole-Bjørn; Lawson, Rachel A.; Barker, Roger A.; Williams-Gray, Caroline H. (Peer reviewed; Journal article, 2021-05)
      Constipation is a common but not a universal feature in early PD, suggesting that gut involvement is heterogeneous and may be part of a distinct PD subtype with prognostic implications. We analysed data from the Parkinson’s ...

    • Early Detection of Alzheimer’s Disease using 3D Texture Features and 3D Convolutional Neural Networks from structural MRI 

      Moen, Ulrik (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In 2016 there was estimated that around 47 million people in the world were living with dementia, and this number were projected to increase to 131 million by 2050. Alzheimer’s disease is the most common type of dementia ...

    • Federated Learning for Dementia Classification in a European Multicentre Dementia Study 

      Hesseberg, Ruben; Minne, Petter (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)
      Every year around 10 million people are diagnosed with dementia worldwide. Higher life expectancy and population growth could inflate this number even further in the near future. Currently the diagnostic process of dementia ...

    • Tacrine hybrids as multi-target-directed ligands against Alzheimer’s disease 

      Lende, Kristin (Masteroppgave/UIS-TN-IKBM/2020;, Master thesis, 2020-07)
      World health organization estimates that nearly 9.9 million people develop dementia each year. Alzheimer disease (AD) is the most common form of dementia, and contributes to 60-70% of the cases. In addition to affecting ...

    • White Matter Lesions and Pattern Recognition in MRI of Neurodegenerative Dementia 

      Oppedal, Ketil (PhD thesis UiS;, Doctoral thesis, 2016-11-03)
      Introduction Expected age is increasing globally and dementia is a common outcome for an increasing number of people. Dementia is a demanding syndrome for the patient and the environment as well as it is costly for ...