Brainstem enlargement in preschool children with autism: Results from an intermethod agreement study of segmentation algorithms
| Autor: | Filippo Muratori, Alessia Giuliano, Paolo Bosco, Sara Calderoni, Stefania Bargagna, Jonathan Delafield-Butt, Alessandra Retico |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Normalization (statistics)
Male Autism Spectrum Disorder autism spectrum disorders Population Neuroimaging T1-weighted MRI brainstem brainstem volume segmentation Multiple methods 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Intellectual disability medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Segmentation education Child Research Articles education.field_of_study Radiological and Ultrasound Technology 05 social sciences medicine.disease Magnetic Resonance Imaging Neurology Child Preschool RC0321 Autism Female Neurology (clinical) Brainstem Anatomy Psychology Algorithm 030217 neurology & neurosurgery Brain Stem |
| Zdroj: | Hum Brain Mapp |
| ISSN: | 1097-0193 |
| Popis: | The intermethod agreement between automated algorithms for brainstem segmentation is investigated, focusing on the potential involvement of this structure in Autism Spectrum Disorders (ASD). Inconsistencies highlighted in previous studies on brainstem in the population with ASD may in part be a result of poor agreement in the extraction of structural features between different methods. A sample of 76 children with ASD and 76 age-, gender-, and intelligence-matched controls was considered. Volumetric analyses were performed using common tools for brain structures segmentation, namely FSL-FIRST, FreeSurfer (FS), and Advanced Normalization Tools (ANTs). For shape analysis SPHARM-MAT was employed. Intermethod agreement was quantified in terms of Pearson correlations between pairs of volumes obtained by the different methods. The degree of overlap between segmented masks was quantified in terms of the Dice index. Both Pearson correlations and Dice indices, showed poor agreement between FSL-FIRST and the other methods (ANTs and FS), which by contrast, yielded Pearson correlations greater than 0.93 and average Dice indices greater than 0.76 when compared with each other. As with volume, shape analyses exhibited discrepancies between segmentation methods, with particular differences noted between FSL-FIRST and the others (ANT and FS), with under- and over-segmentation in specific brainstem regions. These data suggest that research on brain structure alterations should cross-validate findings across multiple methods. We consistently detected an enlargement of brainstem volume in the whole sample and in the male cohort across multiple segmentation methods, a feature particularly driven by the subgroup of children with idiopathic intellectual disability associated with ASD. |
| Databáze: | OpenAIRE |
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