Journal article

Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques

Mohamed Salah Khlif, Emilio Werden, Natalia Egorova, Marina Boccardi, Alberto Redolfi, Laura Bird, Amy Brodtmann

NEUROIMAGE-CLINICAL | ELSEVIER SCI LTD | Published : 2019

Abstract

We assessed first-year hippocampal atrophy in stroke patients and healthy controls using manual and automated segmentations: AdaBoost, FIRST (fsl/v5.0.8), FreeSurfer/v5.3 and v6.0, and Subfields (in FreeSurfer/v6.0). We estimated hippocampal volumes in 39 healthy controls and 124 stroke participants at three months, and 38 controls and 113 stroke participants at one year. We used intra-class correlation, concordance, and reduced major axis regression to assess agreement between automated and 'Manual' estimations. A linear mixed-effect model was used to characterize hippocampal atrophy. Overall, hippocampal volumes were reduced by 3.9% in first-ever stroke and 9.2% in recurrent stroke at thre..

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Grants

Awarded by National Health and Medical Research Council


Awarded by Australian Research Council


Funding Acknowledgements

This work was supported by the National Health and Medical Research Council project grant (APP1020526), the Brain Foundation, Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation. The Florey Institute of Neuroscience and Mental Health acknowledges the strong support from the Victorian Government and in particular the funding from the Operational Infrastructure Support Grant. The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the Florey Node. The authors would also like to thank the Victorian Life Sciences Computation Initiative in the University of Melbourne (http://www.vlsci.org.au/) for support of data supercomputing in SGI Altix XE Cluster. N.E. was supported by the Australian Research Council (DE180100893).