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Abstract
Anorexia nervosa is an often-severe psychiatric illness characterized by significantly low body weight, fear of gaining weight, and distorted body image. Multiple neuroimaging studies have shown abnormalities in cortical morphology, mostly associated with the starvation state. Investigations of white matter, while more limited in number, have suggested global and regional volume reductions, as well as abnormal diffusivity in multiple regions including the corpus callosum. Yet, no study has specifically examined thickness of the corpus callosum, a large white matter tract instrumental in the inter-hemispheric integration of sensory, motor, and cognitive information. We analyzed MRI data from 48 adolescents and adults with anorexia nervosa and 50 healthy controls, all girls/women, to compare corpus callosum thickness and examined relationships with body mass index (BMI), illness duration, and eating disorder symptoms (controlling for BMI). There were no significant group differences in corpus callosum thickness. In the anorexia nervosa group, severity of body shape concerns was significantly, positively correlated with callosal thickness in the rostrum, genu, rostral body, isthmus, and splenium. In addition, there were significant positive correlations between eating disorder-related obsessions and compulsions and thickness of the anterior midbody, rostral body, and splenium. There were no significant associations between callosal thickness and BMI or illness duration. In sum, those with AN with worse concerns about bodily appearance and worse eating disorder-related obsessive thought patterns and compulsive behaviours have regionally thicker corpus callosum, independent of current weight status. These findings provide important neurobiological links to key, specific eating disorder behavioural phenotypes.
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1 Centre for Addiction and Mental Health, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925); University of Toronto, Department of Psychiatry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Karolinska Institutet, Department of Women’s and Children’s Health, Karolinska Hospital, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); University of California Los Angeles, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0001 2167 8097)
2 University of Auckland, School of Psychology, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343)
3 University of California Los Angeles, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0001 2167 8097)
4 University of Auckland, School of Psychology, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343); Uppsala University, Department of Women’s and Children’s Health, Uppsala, Sweden (GRID:grid.8993.b) (ISNI:0000 0004 1936 9457); University of Southern California, Laboratory of Neuro Imaging, School of Medicine, Los Angeles, USA (GRID:grid.42505.36) (ISNI:0000 0001 2156 6853)
5 University of Auckland, School of Psychology, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343); Jena University Hospital, Departments of Neuroradiology and Radiology, Jena, Germany (GRID:grid.275559.9) (ISNI:0000 0000 8517 6224)