The present study examined attention and memory load-dependent differences in the brain activation and deactivation patterns between adolescents with autism spectrum disorders (ASDs) and typically developing (TD) controls using functional magnetic resonance imaging. Attentional (0-back) and working memory (WM; 2-back) processing and load differences (0 vs. 2-back) were analysed.
View Article and Find Full Text PDFIn resting state functional magnetic resonance imaging (fMRI) studies of autism spectrum disorders (ASDs) decreased frontal-posterior functional connectivity is a persistent finding. However, the picture of the default mode network (DMN) hypoconnectivity remains incomplete. In addition, the functional connectivity analyses have been shown to be susceptible even to subtle motion.
View Article and Find Full Text PDFBackground: Diffusion tensor imaging (DTI) enables measurements and visualization of the microstructure of neural fiber tracts. The existing literature on autism spectrum disorders (ASDs) and DTI is heterogenous both regarding methodology and results.
Purpose: To compare brain white matter of high-functioning individuals with ASDs and controls.
FMRI was performed with the dynamic facial expressions fear and happiness. This was done to detect differences in valence processing between 25 subjects with autism spectrum disorders (ASDs) and 27 typically developing controls. Valence scaling was abnormal in ASDs.
View Article and Find Full Text PDFFunctional MRI measured with blood oxygen dependent (BOLD) contrast in the absence of intermittent tasks reflects spontaneous activity of so-called resting state networks (RSN) of the brain. Group level independent component analysis (ICA) of BOLD data can separate the human brain cortex into 42 independent RSNs. In this study we evaluated age-related effects from primary motor and sensory, and, higher level control RSNs.
View Article and Find Full Text PDFThis paper assessed the neural systems involved in processing of dynamic facial expressions in adolescents. The processing of facial expressions changes as a function of age, and it is thus important to understand how healthy adolescent subjects process dynamic facial expressions prior to analyzing disease-related changes. We hypothesized that viewing of dynamic facial expressions with opposing valences (happy vs.
View Article and Find Full Text PDFMeasures assessing resting-state brain activity with blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) can reveal cognitive disorders at an early stage. Analysis of regional homogeneity (ReHo) measures the local synchronization of spontaneous fMRI signals and has been successfully utilized in detecting alterations in subjects with attention-deficit hyperactivity disorder (ADHD), depression, schizophrenia, Parkinson's disease and Alzheimer's dementia. Resting-state brain activity was investigated in 28 adolescents with autism spectrum disorders (ASD) and 27 typically developing controls being imaged with BOLD fMRI and analyzed with the ReHo method.
View Article and Find Full Text PDFDiabetes Metab Res Rev
September 2004
Background: We measured the circulating concentrations of the soluble forms of intercellular adhesion molecule-1, ICAM-1 (sCD54) and L-selectin (sCD62L) in 104 non-diabetic Finnish schoolchildren testing positive for one or more diabetes-associated autoantibodies and in 104 autoantibody-negative children to elucidate the relationship between soluble adhesion molecules and humoral, genetic and metabolic markers of preclinical type 1 diabetes.
Methods: Specific enzyme-linked immunosorbent assays were used to analyse serum sICAM-1 and sL-selectin concentrations.
Results: The sICAM-1 and sL-selectin levels were comparable in the autoantibody-positive and control children, even when comparing children with multiple autoantibodies with those having one or no autoantibodies.