Heritability and reliability of automatically segmented human hippocampal formation subregions
Fecha
2016Autor
Whelan, Christopher D.
Hibar, Derrek P.
van Velzen, Laura S.
Zannas, Anthony S.
Carrillo-Roa, Tania
McMahon, Katie
Prasad, Gautam
Kelly, Sinéad
Faskowitz, Joshua
deZubiracay, Greig
Iglesias, Juan E.
van Erp, Theo G.M.
Frodl, Thomas
Martin, Nicholas G.
Wright, Margaret J.
Jahanshad, Neda
Schmaal, Lianne
Sämann, Philipp G.
Thompson, Paul M.
for the Alzheimer's Disease Neuroimaging Initiative
Metadatos
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Christopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinéad Kelly, Joshua Faskowitz, Greig deZubiracay, Juan E. Iglesias, Theo G.M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, Paul M. Thompson, Heritability and reliability of automatically segmented human hippocampal formation subregions, In NeuroImage, Volume 128, 2016, Pages 125-137, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2015.12.039.
Resumen
The human hippocampal formation can be divided into a set of cytoarchitecturally and functionally distinct subregions,
involved in different aspects of memory formation. Neuroanatomical disruptions within these subregions are
associated with several debilitating brain disorders including Alzheimer's disease, major depression, schizophrenia,
and bipolar disorder. Multi-center brain imaging consortia, such as the Enhancing Neuro Imaging Genetics through
Meta-Analysis (ENIGMA) consortium, are interested in studying disease effects on these subregions, and in the
genetic factors that affect them. For large-scale studies, automated extraction and subsequent genomic association
studies of these hippocampal subregionmeasuresmay provide additional insight. Here, we evaluated the test–retest
reliability and transplatform reliability (1.5 T versus 3 T) of the subregion segmentationmodule in the FreeSurfer software
package using three independent cohorts of healthy adults, one young (Queensland Twins Imaging Study, N=
39), another elderly (Alzheimer's Disease Neuroimaging Initiative, ADNI-2, N =163) and another mixed cohort of
healthy and depressed participants (Max Planck Institute, MPIP,N=598).We also investigated agreement between
themost recent version of this algorithm (v6.0) and an older version (v5.3), again using the ADNI-2 and MPIP cohorts
in addition to a sample from the Netherlands Study for Depression and Anxiety (NESDA) (N=221). Finally, we estimated
the heritability (h2) of the segmented subregion volumes using the full sample of young, healthy QTIM twins
(N=728). Test–retest reliability was high for all twelve subregions in the 3 T ADNI-2 sample (intraclass correlation
coefficient (ICC)=0.70–0.97) andmoderate-to-high in the 4 TQTIM sample (ICC=0.5–0.89). Transplatform reliabilitywas
strong for eleven of the twelve subregions (ICC=0.66–0.96); however, the hippocampal fissure was not consistently
reconstructed across 1.5 T and 3 T field strengths (ICC = 0.47–0.57). Between-version agreement was
moderate for the hippocampal tail, subiculum and presubiculum (ICC = 0.78–0.84; Dice Similarity Coefficient
(DSC)=0.55–0.70), and poor for all other subregions (ICC=0.34–0.81; DSC=0.28–0.51). All hippocampal subregion
volumes were highly heritable (h2=0.67–0.91). Our findings indicate that eleven of the twelve human hippocampal
subregions segmented using FreeSurfer version 6.0 may serve as reliable and informative quantitative
phenotypes for future multi-site imaging genetics initiatives such as those of the ENIGMA consortium.