Autism spectrum disorder (ASD) may be marked by an altered balance between sensory input and prior expectations. Because many illusions rely on integrating sensory input with prior information such as spatial context, individuals with ASD may therefore be less susceptible to visual illusions than typically developing (TD) individuals. Yet empirical evidence on the matter is rather divergent, varying depending on the type of illusion, study procedure, and population.
View Article and Find Full Text PDFRecent theoretical frameworks have hypothesized that autism spectrum disorder (ASD) may be marked by an altered balance between sensory inputs and prior knowledge-the so-called hypoprior hypothesis. Yet evidence regarding such an altered balance is mixed. Here, we aimed to test this hypothesis within the domain of visual perception, by examining how neural activity in the visual system was modulated by stimulus repetition and stimulus expectation in healthy and ASD participants.
View Article and Find Full Text PDFBackground: Chronic fatigue syndrome (CFS) is characterized by severe fatigue persisting for ≥6 months and leading to considerable impairment in daily functioning. Neuroimaging studies of patients with CFS have revealed alterations in prefrontal brain morphology. However, it remains to be determined whether these alterations are specific for fatigue or whether they relate to other common CFS symptoms (e.
View Article and Find Full Text PDFBackground: Postural orthostatic tachycardia syndrome (POTS) is considered a diagnostic marker for chronic fatigue syndrome (CFS).
Objectives: The aims of this study were to (i) compare POTS prevalence in a CFS cohort with fatigued patients not meeting CFS criteria, and (ii) assess activity, impairment and response to cognitive behavioural therapy (CBT) in CFS patients with POTS (POTS-CFS) and without POTS (non-POTS-CFS).
Methods: Prospective cohort study at the Radboud University Medical Centre in the Netherlands.
Background: This meta-analysis aimed to (i) examine demographic, disease-related, and treatment-related risk factors, (ii) estimate the prevalence, and (iii) describe the course of severe fatigue following breast cancer (BC) treatment.
Methods: PubMed, PsycINFO, Cochrane, CINAHL, and Web of Science were systematically searched from inception up to 23 November 2015. Risk factors and prevalence rates were analyzed with inverse variance random-effects analyses.