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Non-motor symptoms and their use as markers for prodromal and early Parkinson's disease
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för organismbiologi. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för biologisk grundutbildning.
2021 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

Parkinson’s Disease (PD) is the second most common neurodegenerative disorder. It is a disease with a broad spectrum of symptoms, both motor and non-motor, but is often only diagnosed when the motor symptoms begin to appear. By this time however, a large amount of the dopaminergic neurons of the substantia nigra pars compacta have already deteriorated. It is therefore of great interest to be able to diagnose the disease earlier on in its progression and perhaps slow down or halt its course. Recent literature has supported the idea that non-motor symptoms begin to appear years, perhaps even decades, before the motor symptoms are visible. This makes them a prime candidate for diagnosing PD earlier on. With the aim of assessing the prevalence of different NMS in prodromal and early Parkinson’s, 19 studies addressing different NMS were analyzed. It was found that NMS are prevalent in both prodromal and early PD. The strongest prodromal predictors for PD were found to be olfactory dysfunction and REM-sleep behavior disorder (RBD). 

sted, utgiver, år, opplag, sider
2021. , s. 37
Emneord [en]
Neurology, Parkinson's, non-motor symptom, prodromal
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-445208OAI: oai:DiVA.org:uu-445208DiVA, id: diva2:1564337
Utdanningsprogram
Bachelor Programme in Biology / Molecular Biology
Presentation
2021-06-07, Zoom, 11:30 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2021-06-17 Laget: 2021-06-11 Sist oppdatert: 2021-06-17bibliografisk kontrollert

Open Access i DiVA

NMS of PD(1911 kB)90 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1911 kBChecksum SHA-512
12826d409087fdffea3fc92c4ea8cb255afaa564e8030e27bbdec9ec0617a0e85fc0c8f467b3bd89ca7638f2cd6ba7fc92b5f49108e705462065d5efd9fd202e
Type fulltextMimetype application/pdf

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