Sökning: "mild cognitive impairment"
Visar resultat 11 - 15 av 51 uppsatser innehållade orden mild cognitive impairment.
11. Visual Transformers for 3D Medical Images Classification: Use-Case Neurodegenerative Disorders
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : A Neurodegenerative Disease (ND) is progressive damage to brain neurons, which the human body cannot repair or replace. The well-known examples of such conditions are Dementia and Alzheimer’s Disease (AD), which affect millions of lives each year. LÄS MER
12. Reparationer i dialog hos personer med lindrig kognitiv svikt
Magister-uppsats, Göteborgs universitet/Institutionen för neurovetenskap och fysiologiSammanfattning : För att kunna tala och kommunicera krävs bland annat kognition och minne. Ett symtom på bristande kognition är påverkan på språket. LÄS MER
13. The medial temporal lobe subregional atrophy in early onset and late onset amnestic variant Alzheimer’s disease
Master-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Memory impairment and prominent hippocampal atrophy are the most recognisable features of Alzheimer’s disease (AD). It has been known that hippocampus and surrounding medial temporal lobe (MTL) structures support memory processes. However, specific function of each MTL subfield remains to be elucidated. LÄS MER
14. Regional atrophy correlates of domain-specific episodic memory in early Alzheimer’s disease
Master-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Alzheimer’s disease (AD) is characterized by amyloid-β (Aβ) and tau depositions as well as neurodegeneration, and is typically accompanied by a progressive decline in episodic memory. Previous research proposes two neural memory networks that process different stimulus domains. LÄS MER
15. Using simulated dynamics and graph metrics to compare brain networks of MCI patients and healthy control subjects
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, several different methods have been proposed to compare brain networks with the joint use of graph theory and graph metrics. Another relatively unexplored comparison method is comparing the brain’s response to various input signals by simulating the brain’s dynamics. LÄS MER