ArticleFrontiers in neuroscience2021
Shift Toward Randomness in Brain Networks of Patients With Anorexia Nervosa: The Role of Malnutrition.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Glucocorticoid signalling dysregulation and immune cell adaptation in Anorexia Nervosa.Molecular psychiatry · 2026Article
- Understanding Bone Density Loss in Eating Disorders: Contributions of Weight Suppression and Speed of Weight Loss.Journal of clinical medicine · 2024Article
- Adaptive rewiring: a general principle for neural network development.Frontiers in network physiology · 2024Review
- Reduced body-image disturbance by body-image interventions is associated with neural-response changes in visual and social processing regions: a preliminary study.Frontiers in psychiatry · 2024Article
- Large-Scale Exploration of Whole-Brain Structural Connectivity in Anorexia Nervosa: Alterations in the Connectivity of Frontal and Subcortical Networks.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Disrupted longitudinal restoration of brain connectivity during weight normalization in severe anorexia nervosa.Translational psychiatry · 2023Article
- Article
- Complex functional brain network properties in anorexia nervosa.Journal of eating disorders · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
No study to date investigated structural white matter (WM) connectome characteristics in patients with anorexia nervosa (AN). Previous research in AN found evidence of imbalances in global and regional connectomic brain architecture and highlighted a role of malnutrition in determining structural brain changes. The aim of our study was to explore the characteristics of the WM network architecture in a sample of patients with AN. Thirty-six patients with AN and 36 healthy women underwent magnetic resonance imaging to obtain a high-resolution three-dimensional T1-weighted anatomical image and a diffusion tensor imaging scan. Probabilistic tractography data were extracted and analyzed in their network properties through graph theory tools. In comparison to healthy women, patients with AN showed lower global network segregation (normalized clustering:
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