2018
DOI: 10.1002/hbm.23948
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Test–retest reliability and longitudinal analysis of automated hippocampal subregion volumes in healthy ageing andAlzheimer's disease populations

Abstract: The hippocampal formation is a complex brain structure that is important in cognitive processes such as memory, mood, reward processing and other executive functions. Histological and neuroimaging studies have implicated the hippocampal region in neuropsychiatric disorders as well as in neurodegenerative diseases. This highly plastic limbic region is made up of several subregions that are believed to have different functional roles. Therefore, there is a growing interest in imaging the subregions of the hippoc… Show more

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Cited by 44 publications
(42 citation statements)
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“…Also, the use of novel neuroimaging automated pipelines to accurately segment the hippocampus to investigate regional vulnerability. FreeSurfer’s pipeline is based on ex vivo 7T images to manually segment the hippocampus in order to create the statistical atlas; and it has been recently proved to have a good test-retest reliability over time (Worker et al, 2018 ). However, the authors (Iglesias et al, 2015 ) recommend caution on the interpretation of results involving the internal subfields such as the CA4, molecular layer or the Granule cells in the molecular layer of the DG.…”
Section: Discussionmentioning
confidence: 99%
“…Also, the use of novel neuroimaging automated pipelines to accurately segment the hippocampus to investigate regional vulnerability. FreeSurfer’s pipeline is based on ex vivo 7T images to manually segment the hippocampus in order to create the statistical atlas; and it has been recently proved to have a good test-retest reliability over time (Worker et al, 2018 ). However, the authors (Iglesias et al, 2015 ) recommend caution on the interpretation of results involving the internal subfields such as the CA4, molecular layer or the Granule cells in the molecular layer of the DG.…”
Section: Discussionmentioning
confidence: 99%
“…Next, using the outputs from FS6.0‐hsf, images were further processed using the subfield‐specific atlases for the amygdala and thalamus . The segmentation pipeline uses a probabilistic atlas to estimate hippocampal, amygdalar and thalamus subfields with a Bayesian Inference algorithm that automatically adapts to the MRI image intensity of each scanner machine …”
Section: Methodsmentioning
confidence: 99%
“…In addition, the approach was validated in an independent in vivo 1 mm MRI resolution data-set of 39 individuals, and was shown to be superior to its predecessor (FreeSurfer v.5.0.3) that was based on in-vivo data only. FreeSurfer v6.0 further has a high reliability (intraclass correlation coefficient = 0.9 or higher for subfields CA1, CA3, DG, subiculum, and other), which is also superior to the previous version of Freesurfer 56 . Identification of hippocampal subfields using FreeSurfer 6.0 should be considered probabilistic, as it uses prior knowledge from ex vivo brains scanned at 7 T MRI combined with the available contrast information from MR images (Iglesias, et al, 2015).…”
Section: Resultsmentioning
confidence: 95%