Complex social cognitive processes underlie social behavior. Oxytocin has long been recognized as crucial in social behavior in animals, but its role in regulating human social cognition and behavior is less clear, ...

Background: Recommendations regarding intensity, duration and type of exercise during pregnancy vary worldwide. Most research on exercise during pregnancy investigates the effects of aerobic exercise while only a few trials ...

ABSTRACT Fetal programming occurs when nutrients affect the DNA during fetal development and alters the fetus’ genetic make-up. In connection with increasing obesity prevalence focus has been on dietary fats and fatty ...

Introduction: The long-term physical function outcome in patients treated for idiopathic scoliosis (IS) during childhood and adolescence has not been fully explored. In addition, there is a lack of studies where different ...

The glutamate synapse is by far the most common synapse in the brain and acts via postsynaptic AMPA, NMDA and mGlu receptors. During brain development there is a continuous production of these synapses where those partaking ...

Schizophrenia is a serious stigmatizing illness. Antipsychotic medication is a cornerstone in treatment. Non-adherence is a predictor of poor outcome leading to relapse, poor functioning, high mortality and costs. Reported ...

Radiotherapy used in the treatment of brain tumours in children results in a range of cognitive dysfunctions that impact the quality of life in the surviving population. In past decades, great strides were made in understanding ...

Magnetoencephalography (MEG) is a passive, non-invasive functional neuroimaging technique for recording magnetic fields generated by neuronal currents in the brain. MEG provides a unique capability to map the electrophysiology ...

Background: Febrile seizures (FS) are common in young children. There is a lack of knowledge about possible associations between FS and the child’s cognitive and behavioural development. Aim: Gain further insight into the ...

Aims: The aim of this thesis was to investigate the use of objective methods for the analysis of visual electrophysiological recordings. Specifically can signal identification algorithms identify electrophysiological signals ...