Automated versus manual segmentation of brain region volumes in former football players
Autor: | Christine E. Chaisson, Alicia S. Chua, Nathaniel Somes, Christian Lepage, Jeffrey P. Guenette, Ofer Pasternak, Nikos Makris, Valerie J. Sydnor, Pawel Wrobel, Vivian Schultz, Sarina Karmacharya, Brett M. Martin, Yorghos Tripodis, Martha E. Shenton, Robert S. Stern, Alexander P. Lin, Inga K. Koerte, Michael J. Coleman, Michael L. Alosco |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adult
Male Intraclass correlation Cognitive Neuroscience Football Neuroimaging lcsh:Computer applications to medicine. Medical informatics Corpus callosum Brain mapping Hippocampus lcsh:RC346-429 030218 nuclear medicine & medical imaging 03 medical and health sciences Lateral ventricles 0302 clinical medicine Traumatic brain injury Gyrus medicine Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Segmentation lcsh:Neurology. Diseases of the nervous system Aged Brain Mapping Chronic traumatic encephalopathy business.industry Regular Article Organ Size Middle Aged medicine.disease Amygdala Magnetic Resonance Imaging Head trauma medicine.anatomical_structure Neurology lcsh:R858-859.7 Neurology (clinical) Nuclear medicine business 030217 neurology & neurosurgery |
Zdroj: | NeuroImage : Clinical NeuroImage: Clinical, Vol 18, Iss, Pp 888-896 (2018) |
ISSN: | 2213-1582 |
Popis: | Objectives To determine whether or not automated FreeSurfer segmentation of brain regions considered important in repetitive head trauma can be analyzed accurately without manual correction. Materials and methods 3 T MR neuroimaging was performed with automated FreeSurfer segmentation and manual correction of 11 brain regions in former National Football League (NFL) players with neurobehavioral symptoms and in control subjects. Automated segmentation and manually-corrected volumes were compared using an intraclass correlation coefficient (ICC). Linear mixed effects regression models were also used to estimate between-group mean volume comparisons and to correlate former NFL player brain volumes with neurobehavioral factors. Results Eighty-six former NFL players (55.2 ± 8.0 years) and 22 control subjects (57.0 ± 6.6 years) were evaluated. ICC was highly correlated between automated and manually-corrected corpus callosum volumes (0.911), lateral ventricular volumes (right 0.980, left 0.967), and amygdala-hippocampal complex volumes (right 0.713, left 0.731), but less correlated when amygdalae (right −0.170, left −0.090) and hippocampi (right 0.539, left 0.637) volumes were separately delineated and also less correlated for cingulate gyri volumes (right 0.639, left 0.351). Statistically significant differences between former NFL player and controls were identified in 8 of 11 regions with manual correction but in only 4 of 11 regions without such correction. Within NFL players, manually corrected brain volumes were significantly associated with 3 neurobehavioral factors, but a different set of 3 brain regions and neurobehavioral factor correlations was observed for brain region volumes segmented without manual correction. Conclusions Automated FreeSurfer segmentation of the corpus callosum, lateral ventricles, and amygdala-hippocampus complex may be appropriate for analysis without manual correction. However, FreeSurfer segmentation of the amygdala, hippocampus, and cingulate gyrus need further manual correction prior to performing group comparisons and correlations with neurobehavioral measures. Highlights • Statistical outcomes vary with/without manual correction of FreeSurfer segmentation. • Manual correction of amygdala and hippocampus FreeSurfer segmentation is necessary. • Amygdala-hippocampus complex FreeSurfer segmentation appears adequate. • Corpus callosum and lateral ventricle FreeSurfer segmentation also appears adequate. • Manual correction of cingulate gyrus FreeSurfer segmentation is necessary. |
Databáze: | OpenAIRE |
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