Background: Previous resting-state functional connectivity studies in patients with anorexia nervosa used independent component analysis or seed-based connectivity analysis to probe specific brain networks. Instead, modelling the entire brain as a complex network allows determination of graph-theoretical metrics, which describe global and local properties of how brain networks are organized and how they interact.
Methods: To determine differences in network properties between female patients with acute anorexia nervosa and pairwise matched healthy controls, we used resting-state fMRI and computed well-established global and local graph metrics across a range of network densities.
Background: Anorexia nervosa (AN) is a serious eating disorder characterized by self-starvation, extreme weight loss, and alterations in brain structure. Structural magnetic resonance imaging studies have documented brain volume reductions in acute AN, but it is unclear whether they are 1) regionally specific, or 2) reversible following weight restoration. Here, we measured cortical thickness (CT) for the first time in AN.
View Article and Find Full Text PDFProg Neuropsychopharmacol Biol Psychiatry
October 2014
Several studies support the assumption that the brain-derived neurotrophic factor (BDNF) plays an important role in the pathophysiology of eating disorders. In the present cross-sectional and longitudinal study, we investigated BDNF levels in patients with anorexia nervosa (AN) at different stages of their illness and the association with cognitive functioning. We measured serum BDNF in 72 acutely underweight female AN patients (acAN), 23 female AN patients who successfully recovered from their illness (recAN), and 52 healthy control women (HCW).
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