4.5 Article

Automated versus manual segmentation of brain region volumes in former football players

Journal

NEUROIMAGE-CLINICAL
Volume 18, Issue -, Pages 888-896

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2018.03.026

Keywords

Magnetic resonance imaging; Neuroimaging; Head trauma; Traumatic brain injury; Chronic traumatic encephalopathy

Categories

Funding

  1. NIH [R01 NS 078337, R01 NS100952, F31 NS 081957, 1F32NS096803-01, P30 AG13846, P41 EB015902, T32GM074905]
  2. JetBlue Airlines
  3. National Football League
  4. NFL Players Association
  5. Else Kroner-Fresenius Foundation, Germany (IK)
  6. LMU Munich's Institutional Strategy LMUexcellent
  7. VA Merit Award
  8. German Academic Exchange Service PROMOS award
  9. Canadian Institutes of Health Research Frederick Banting and Charles Best Doctoral Award
  10. medical faculty of the Ludwig-Maximillian University Munich
  11. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [P41EB015902] Funding Source: NIH RePORTER
  12. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [T32GM074905] Funding Source: NIH RePORTER
  13. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [F32NS096803, F31NS081957, R01NS078337, R01NS100952] Funding Source: NIH RePORTER
  14. NATIONAL INSTITUTE ON AGING [P30AG013846] Funding Source: NIH RePORTER

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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.

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