Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation

The developmental pattern of the amygdala throughout childhood and adolescence has been inconsistently reported in previous neuroimaging studies. Given the relatively small size of the amygdala on full brain MRI scans, discrepancies may be partly due to methodological differences in amygdalar segmen...

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Autores principales:	Quan Zhou, Siman Liu, Chao Jiang, Ye He, Xi-Nian Zuo
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Amygdala Brain development Growth chart MRI Reliability Neurophysiology and neuropsychology QP351-495
Acceso en línea:	https://doaj.org/article/fd807d4380834d6394c0c0a64912a662
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spelling	oai:doaj.org-article:fd807d4380834d6394c0c0a64912a6622021-11-06T04:24:53ZCharting the human amygdala development across childhood and adolescence: Manual and automatic segmentation1878-929310.1016/j.dcn.2021.101028https://doaj.org/article/fd807d4380834d6394c0c0a64912a6622021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S187892932100116Xhttps://doaj.org/toc/1878-9293The developmental pattern of the amygdala throughout childhood and adolescence has been inconsistently reported in previous neuroimaging studies. Given the relatively small size of the amygdala on full brain MRI scans, discrepancies may be partly due to methodological differences in amygdalar segmentation. To investigate the impact of volume extraction methods on amygdala volume, we compared FreeSurfer, FSL and volBrain segmentation measurements with those obtained by manual tracing. The manual tracing method, which we used as the ‘gold standard’, exhibited almost perfect intra- and inter-rater reliability. We observed systematic differences in amygdala volumes between automatic (FreeSurfer and volBrain) and manual methods. Specifically, compared with the manual tracing, FreeSurfer estimated larger amygdalae, and volBrain produced smaller amygdalae while FSL demonstrated a mixed pattern. The tracing bias was not uniform, but higher for smaller amygdalae. We further modeled amygdalar growth curves using accelerated longitudinal cohort data from the Chinese Color Nest Project (). Trajectory modeling and statistical assessments of the manually traced amygdalae revealed linearly increasing and parallel developmental patterns for both girls and boys, although the amygdalae of boys were larger than those of girls. Compared to these trajectories, the shapes of developmental curves were similar when using the volBrain derived volumes. FreeSurfer derived trajectories had more nonlinearities and appeared flatter. FSL derived trajectories demonstrated an inverted U shape and were significantly different from those derived from manual tracing method. The use of amygdala volumes adjusted for total gray-matter volumes, but not intracranial volumes, resolved the shape discrepancies and led to reproducible growth curves between manual tracing and the automatic methods (except FSL). Our findings revealed steady growth of the human amygdala, mirroring its functional development across the school age. Methodological improvements are warranted for current automatic tools to achieve more accurate amygdala structure at school age, calling for next generation tools.Quan ZhouSiman LiuChao JiangYe HeXi-Nian ZuoElsevierarticleAmygdalaBrain developmentGrowth chartMRIReliabilityNeurophysiology and neuropsychologyQP351-495ENDevelopmental Cognitive Neuroscience, Vol 52, Iss , Pp 101028- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Amygdala Brain development Growth chart MRI Reliability Neurophysiology and neuropsychology QP351-495
spellingShingle	Amygdala Brain development Growth chart MRI Reliability Neurophysiology and neuropsychology QP351-495 Quan Zhou Siman Liu Chao Jiang Ye He Xi-Nian Zuo Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
description	The developmental pattern of the amygdala throughout childhood and adolescence has been inconsistently reported in previous neuroimaging studies. Given the relatively small size of the amygdala on full brain MRI scans, discrepancies may be partly due to methodological differences in amygdalar segmentation. To investigate the impact of volume extraction methods on amygdala volume, we compared FreeSurfer, FSL and volBrain segmentation measurements with those obtained by manual tracing. The manual tracing method, which we used as the ‘gold standard’, exhibited almost perfect intra- and inter-rater reliability. We observed systematic differences in amygdala volumes between automatic (FreeSurfer and volBrain) and manual methods. Specifically, compared with the manual tracing, FreeSurfer estimated larger amygdalae, and volBrain produced smaller amygdalae while FSL demonstrated a mixed pattern. The tracing bias was not uniform, but higher for smaller amygdalae. We further modeled amygdalar growth curves using accelerated longitudinal cohort data from the Chinese Color Nest Project (). Trajectory modeling and statistical assessments of the manually traced amygdalae revealed linearly increasing and parallel developmental patterns for both girls and boys, although the amygdalae of boys were larger than those of girls. Compared to these trajectories, the shapes of developmental curves were similar when using the volBrain derived volumes. FreeSurfer derived trajectories had more nonlinearities and appeared flatter. FSL derived trajectories demonstrated an inverted U shape and were significantly different from those derived from manual tracing method. The use of amygdala volumes adjusted for total gray-matter volumes, but not intracranial volumes, resolved the shape discrepancies and led to reproducible growth curves between manual tracing and the automatic methods (except FSL). Our findings revealed steady growth of the human amygdala, mirroring its functional development across the school age. Methodological improvements are warranted for current automatic tools to achieve more accurate amygdala structure at school age, calling for next generation tools.
format	article
author	Quan Zhou Siman Liu Chao Jiang Ye He Xi-Nian Zuo
author_facet	Quan Zhou Siman Liu Chao Jiang Ye He Xi-Nian Zuo
author_sort	Quan Zhou
title	Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
title_short	Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
title_full	Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
title_fullStr	Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
title_full_unstemmed	Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation
title_sort	charting the human amygdala development across childhood and adolescence: manual and automatic segmentation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/fd807d4380834d6394c0c0a64912a662
work_keys_str_mv	AT quanzhou chartingthehumanamygdaladevelopmentacrosschildhoodandadolescencemanualandautomaticsegmentation AT simanliu chartingthehumanamygdaladevelopmentacrosschildhoodandadolescencemanualandautomaticsegmentation AT chaojiang chartingthehumanamygdaladevelopmentacrosschildhoodandadolescencemanualandautomaticsegmentation AT yehe chartingthehumanamygdaladevelopmentacrosschildhoodandadolescencemanualandautomaticsegmentation AT xinianzuo chartingthehumanamygdaladevelopmentacrosschildhoodandadolescencemanualandautomaticsegmentation
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Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation

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