Niclas Sjögren

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INTRODUCTION Perfusion measurement by arterial spin labeling (ASL) techniques is well suited for pharmaceutical magnetic resonance imaging (phMRI) studies to investigate how drugs change the cerebral perfusion status and further, neuronal activity. MATERIALS AND METHOD Twelve healthy normal male volunteers participated in the study which was based on a(More)
BACKGROUND Neuropathy can lead not only to impaired function but also to sensory sensitization. We aimed to link reduced skin nerve fibre density in different levels to layer-specific functional impairment in neuropathic pain patients and tried to identify pain-specific functional and structural markers. METHODS In 12 healthy controls and 36 patients with(More)
We aimed to find functional and structural differences in neuropathy between patients with and without chronic pain following nerve injury. We included 30 patients requiring hand surgery after a trauma, with 21 reporting chronic pain for more than one year after the injury, while 9 did not suffer from injury-related chronic pain. We assessed mechanical(More)
Integrative understanding of preclinical and clinical data is imperative to enable informed decisions and reduce the attrition rate during drug development. The volume and variety of data generated during drug development have increased tremendously. A new information model and visualization tool was developed to effectively utilize all available data and(More)
AIMS To conduct a psychometric analysis to determine the adequacy of instruments that measure cognition in Alzheimer's disease trials. BACKGROUND Both the Alzheimer's Disease Assessment Scale - Cognition (ADAS-Cog) and the Neuropsychological Test Battery (NTB) are validated outcome measures for clinical trials in Alzheimer's disease and are approved also(More)
13 Other participants in the AddNeuroMed consortium making essential contributions to this work are listed in supplementary data Abstract The use of novel analytical techniques (such as data clustering and decision trees) that can model and predict patient disease outcomes has great potential for assessing disease process and progression in Alzheimer's(More)
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