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Visar resultat 1 - 5 av 15 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Train your brain : updating, transfer, and neural changes

   Författare :Erika Dahlin; Lars Nyberg; Anna Stigsdotter Neely; Torkel Klingberg; Umeå universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; cognitive training; executive functioning; transfer; fMRI; brain system; young adults; elderly; practice; neural correlates; individual differences; Experimental brain research; Experimentell hjärnforskning; Cognitive science; Kognitionsforskning; fysiologi; Physiology;

   Sammanfattning : An initial aim of this thesis was to determine whether training of a specific executive function (updating) produces improvements in performance on trained and transfer tasks, and whether the effects are maintained over time. Neural systems underlying training and transfer effects were also investigated and one question considered is whether transfer depends on general or specific neural overlap between training and transfer tasks. LÄS MER

3. 2. Methods for the analysis and characterization of brain morphology from MRI images

   Författare :Irene Brusini; Chunliang Wang; Örjan Smedby; Eric Westman; Lars-Olof Wahlund; Jorge Cardoso; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Brain MRI; Image Segmentation; Machine Learning; Deep Learning; Shape Analysis; Aging; Neurodegeneration; MRT av hjärnan; Bildsegmentering; Maskininlärning; Djupinlärning; Formanalys; Åldrande; Neurodegeneration; Medical Technology; Medicinsk teknologi;

   Sammanfattning : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. LÄS MER

4. 3. Precision mapping of gene expression and proteins in the brain using gene editing and barcoded viral vectors

   Författare :Martino Avallone; Molekylär neuromodulering; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Gene editing; CRISPR Cas9; Barcodes; AAV; PLA; gene therapy; Parkinson’s disease; single nuclei RNAseq; alpha-synuclein;

   Sammanfattning : The human brain is a masterpiece of intricate design and impeccable functionality. It serves as the ultimate command center for our thoughts, sensations, and actions, which define our very existence. LÄS MER

5. 4. Quantitative MRI Biomarkers of Neurodegeneration in Multiple Sclerosis

   Författare :Michael Platten; Tobias Granberg; Chunliang Wang; Fredrik Piehl; Sara Shams; Mattias Vågberg; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Machine learning; Multiple sclerosis; Corpus callosum; Neurodegeneration; Medical Technology; Medicinsk teknologi;

   Sammanfattning : Background: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease that targets myelin in the brain and spinal cord. The corpus callosum connects the cerebral hemispheres and is composed of heavily myelinated axons. LÄS MER

7. 5. Neural Network Approaches To Survival Analysis

   Författare :Jonas Kalderstam; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Survival Analysis; Artificial Neural Networks; Machine Learning; Genetic Algorithms; Evolutionary Algorithms; Fysicumarkivet:2015:Kalderstam;

   Sammanfattning : Predicting the probable survival for a patient can be very challenging for many diseases. In many forms of cancer, the choice of treatment can be directly impacted by the estimated risk for the patient. This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). LÄS MER