Evaluating anorexia-related brain atrophy using MP2RAGE-based morphometry
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To evaluate brain atrophy in anorexic patients by automated cerebral segmentation with the magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) MRI sequence.
Material and methods
Twenty patients (female; mean age, 27.9 years), presenting consecutively for brain MRI between August 2014–December 2016 with clinical suspicion of anorexia nervosa and BMI<18.5 kg/m2 were included. Controls were ten healthy females (mean age, 26.5 years). Automated brain morphometry was performed based on MP2RAGE. Means of morphometric results in the two groups were compared and correlation with BMI was analysed.
Significantly lower volumes of total brain, grey matter (GM), white matter (WM), cerebellum and insula were found in anorexic patients. Anorexics had higher volumes of CSF, ventricles, lateral ventricles and third ventricle. When adjusted means for weight and height were compared, the volume of WM and cerebellum were not significantly different. However, volume of WM was significantly affected by weight and positively correlated with BMI. Significant positive correlations were found between BMI and volumes of total brain, GM, cortical GM and WM. BMI was negatively correlated with volumes of CSF and third ventricle.
Brain atrophy was demonstrated in anorexic patients with MP2RAGE-based automated segmentation, which seems to reliably estimate brain volume.
• Automated brain segmentation based on 3-D MRI seems to reliably estimate brain volume.
• This technique detected brain atrophy in patients suffering from anorexia nervosa.
• Brain changes in anorexia nervosa can be quantitatively and qualitatively followed-up by MRI.
KeywordsAnorexia nervosa Brain Atrophy Magnetic resonance imaging 3-D imaging
Body mass index
Magnetic resonance imaging
Magnetization-prepared rapid acquisition gradient echo
Magnetization-prepared 2 rapid acquisition gradient echo
Total intracranial volume
Compliance with ethical standards
The scientific guarantor of this publication is Dr Maria Isabel Vargas.
Conflict of interest
The authors of this manuscript declare relationships with the following companies: Siemens Healthcare.
The authors state that this work has not received any funding.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Written informed consent was waived by the Institutional Review Board.
Institutional Review Board approval was obtained.
• case-control study
• performed at one institution
- 3.The ICD-10 Classification of Mental and Behavioural Disorders.Google Scholar
- 4.(2017) Body mass index - BMI. WHO/Europe.Google Scholar
- 11.Seitz J, Bühren K, von Polier GG, Heussen N, Herpertz-Dahlmann B, Konrad K (2014) Morphological changes in the brain of acutely ill and weight-recovered patients with anorexia nervosa. A meta-analysis and qualitative review. Z Kinder Jugendpsychiatr Psychother 42:7–17, quiz 17–18Google Scholar
- 14.Solstrand Dahlberg L, Wiemerslage L, Swenne I, Larsen A, Stark J, Rask-Andersen M, Salonen-Ros H, Larsson EM, Schiöth HB, Brooks SJ (2016) Adolescents newly diagnosed with eating disorders have structural differences in brain regions linked with eating disorder symptoms. Nord J Psychiatry:1–9.Google Scholar
- 31.Næss-Schmidt E, Tietze A, Blicher JU, Petersen M, Mikkelsen IK, Coupé P et al (2016) Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification. Int J Comput Assist Radiol Surg 11:1979–1991CrossRefPubMedGoogle Scholar
- 35.(2013) IBM SPSS Statistics for Windows. IBM Corp, Armonk, NY.Google Scholar