Registration-based methods applied to serial high-resolution T1-weighted magnetic resonance imaging for the assessment of brain volume changes in anorexia nervosa of the restricting type
| Autor: | Mariana Santos, Sertório Timóteo, Sarah Finnegan, Matthew J. Clarkson, Nick C. Fox, António J. Bastos-Leite, E. Osório, Isabel Brandão, António Roma-Torres |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Anorexia Nervosa Adolescent Neuroscience (miscellaneous) computer.software_genre Standard deviation Body Mass Index Cerebral Ventricles 03 medical and health sciences Young Adult 0302 clinical medicine Voxel Statistical significance T1 weighted Medicine Humans Radiology Nuclear Medicine and imaging Age of Onset medicine.diagnostic_test business.industry Brain Magnetic resonance imaging Organ Size Magnetic Resonance Imaging 030227 psychiatry Psychiatry and Mental health Anorexia nervosa (differential diagnoses) Brain size Female Nuclear medicine business Body mass index computer 030217 neurology & neurosurgery Follow-Up Studies |
| Zdroj: | Psychiatry research. Neuroimaging. 279 |
| ISSN: | 1872-7506 |
| Popis: | We aimed to determine whether variation in the body mass index (BMI)—a marker of anorexia nervosa (AN) severity—is associated with brain volume changes longitudinally estimated using registration-based methods on serial high-resolution T1-weighted magnetic resonance images (MRI). Fifteen female patients (mean age = 21 years; standard deviation [SD] = 5.7; range: 15–33 years) with the diagnosis of AN of the restricting type (AN-r)—according to the Diagnostic and Statistic Manual of Mental Disorders, 5th edition criteria—underwent T1-weighted MRI at baseline and after a mean follow-up period of 11 months (SD = 6.4). We used the brain boundary shift integral (BSI) and the ventricular BSI (VBSI) to estimate volume changes after registering voxels of follow-up onto baseline MRI. Very significant and strong correlations were found between BMI variation and the brain BSI, as well as between BMI variation and the VBSI. After adjustment for age at onset, duration of illness, and the BMI rate of change before baseline MRI, the statistical significance of both associations persisted. Registration-based methods on serial MRI represent an additional tool to estimate AN severity, because they provide measures of brain volume change strongly associated with BMI variation. |
| Databáze: | OpenAIRE |
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