@article{6c37bc9807d246e789dacf82a91433dd,
title = "Hippocampal subfield volumes are associated with verbal memory after first-ever ischemic stroke",
abstract = "Introduction: Hippocampal subfield volumes are more closely associated with cognitive impairment than whole hippocampal volume in many diseases. Both memory and whole hippocampal volume decline after stroke. Understanding the subfields{\textquoteright} temporal evolution could reveal valuable information about post-stroke memory. Methods: We sampled 120 participants (38 control, 82 stroke), with cognitive testing and 3T-MRI available at 3 months and 3 years, from the Cognition and Neocortical Volume after Stroke (CANVAS) study. Verbal memory was assessed using the Hopkins Verbal Learning Test-Revised. Subfields were delineated using FreeSurfer. We used partial Pearson{\textquoteright}s correlation to assess the associations between subfield volumes and verbal memory scores, adjusting for years of education, sex, and stroke side. Results: The left cornu ammonis areas 2/3 and hippocampal tail volumes were significantly associated with verbal memory 3-month post-stroke. At 3 years, the associations became stronger and involved more subfields. Discussion: Hippocampal subfield volumes may be a useful biomarker for post-stroke cognitive impairment.",
keywords = "Delayed recall, Hippocampal subfields, Immediate recall, Stroke, Verbal memory",
author = "Khlif, {Mohamed Salah} and Bird, {Laura J.} and Carolina Restrepo and Wasim Khan and Emilio Werden and Natalia Egorova-Brumley and Amy Brodtmann",
note = "Funding Information: This work was supported by NHMRC grant (APP1020526), Brain Foundation, Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation. N.E. was supported by ARC grant (DE180100893). The Florey Institute of Neuroscience and Mental Health acknowledges the support from the Victorian Government (Operational Infrastructure Support Grant) and the support from the HPC system operated by Research Platform Services at University of Melbourne. The authors acknowledge the facilities, and scientific and technical assistance of the National Imaging Facility at the Florey. Funding Information: NHMRC, Grant/Award Number: APP1020526; Brain Foundation, Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation. N.E., Grant/Award Number: DE180100893 This work was supported by NHMRC grant (APP1020526), Brain Foun-dation, Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation. N.E. was supported by ARC grant (DE180100893). The Florey Institute of Neuroscience and Mental Health acknowledges the support from the Victorian Government (Operational Infrastructure Support Grant) and the support from the HPC system operated by Research Platform Services at University of Melbourne. The authors acknowledge the facilities, and scientific and technical assistance of the National Imaging Facility at the Florey. Publisher Copyright: {\textcopyright} 2021 The Authors.",
year = "2021",
doi = "10.1002/dad2.12195",
language = "English",
volume = "13",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
publisher = "John Wiley & Sons",
number = "1",
}
