Sökning: "Parkinson’s disease models"

Visar resultat 1 - 5 av 112 avhandlingar innehållade orden Parkinson’s disease models.

  1. 1. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). LÄS MER

  3. 2. Models and biomarkers of motor and neuropsychiatric complications in Parkinson’s disease

    Författare :Katrine Skovgård; Basala gangliernas patofysiologi; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Parkinson s disease Parkinsonism; Dyskinesia; Drug-Induced; Oscillations; Local field potentials; Impulsive-compulsive behaviours; Dopamine agonists; Animal Models; Pharmacology;

    Sammanfattning : Parkinson's disease (PD) is a neurodegenerative disorder characterised by typicalmotor symptoms that are caused by severe dopamine depletion in the cortico-basalganglia network. Parkinsonian motor symptoms are improved by dopaminergicmedications, the most effective being the dopamine precursor L-DOPA. LÄS MER

  4. 3. Automating levodopa dosing schedules for Parkinson’s disease

    Författare :Ilias Thomas; Jerker Westin; Moudud Alam; Björn Eskofier; Högskolan Dalarna; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; levodopa; symptom assessment; symptom management; dosing algorithms; wearable sensors; microtablets; continuous infusion; FLOAT - Flexible Levodopa Optimizing Assistive Technology; FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik;

    Sammanfattning : Parkinson’s disease (PD) is the second most common neurodegenerative disease. Levodopa is mainly used to manage the motor symptoms of PD. However, disease progression and long-term use of levodopa cause reduced medication efficacy and side effects. When that happens, precise individualized dosing schedules are required. LÄS MER

  5. 4. Emerging pharmacotherapies for Parkinson's Disease: Experimental studies in the rat

    Författare :Hanna Iderberg; Basala gangliernas patofysiologi; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Parkinson s Disease; L-DOPA; L-DOPA-induced dyskinesia; rat model of Parkinson s disease; behavioural pharmacology;

    Sammanfattning : Parkinson´s disease (PD) is a neurodegenerative disorder characterized by the typical motor symptoms, akinesia/bradykinesia, rigidity and resting tremor. These symptoms are caused by a deficiency of dopamine (DA) in the brain, which depends on degeneration of DA neurons in the substantia nigra. LÄS MER

  7. 5. Stem cell-based models to study cellular alterations in Parkinson’s Disease

    Författare :Margarita Chumarina; Stamcellslaboratoriet för sjukdomsmodellering i det centrala nervsystemet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Parkinson s disease; stem cells; IPSCs; dopaminergic neurons; oligodendrocytes; omics;

    Sammanfattning : Parkinson’s Disease (PD) is the most prevalent neurodegenerative movement disorder. Despite investigative efforts into the pathogenesis of the disease, the aetiology and mechanism of PD remains unknown, with multiple factors and cellular pathways known to play a part. LÄS MER