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Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates

Aurelie Bussy, Eric Plitman, Raihaan Patel, Stephanie Tullo, Alyssa Salaciak, Saashi A. Bedford, Sarah Farzin, Marie-Lise Béland, Vanessa Valiquette, Christina Kazazian, Christine Tardif, Gabriel A. Devenyi, Mallar Chakravarty
doi: https://doi.org/10.1101/2020.05.28.121343
Aurelie Bussy
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
2Integrated Program in Neuroscience, McGill University, Montreal, Canada
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  • For correspondence: aureliee.bussy@gmail.com
Eric Plitman
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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Raihaan Patel
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
4Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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Stephanie Tullo
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
2Integrated Program in Neuroscience, McGill University, Montreal, Canada
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Alyssa Salaciak
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
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Saashi A. Bedford
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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Sarah Farzin
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
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Marie-Lise Béland
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
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Vanessa Valiquette
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
4Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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Christina Kazazian
4Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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Christine Tardif
4Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
5McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada
6Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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Gabriel A. Devenyi
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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Mallar Chakravarty
1Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
2Integrated Program in Neuroscience, McGill University, Montreal, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec, Canada
4Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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Abstract

The hippocampus has been extensively studied in various neuropsychiatric disorders throughout the lifespan. However, inconsistent results have been reported with respect to which subfield volumes are most related to age. Here, we investigate whether these discrepancies may be explained by experimental design differences that exist between studies. Multiple datasets were used to collect 1690 magnetic resonance scans from healthy individuals aged 18-95 years old. Standard T1-weighted (T1w; MPRAGE sequence, 1 mm3 voxels), high-resolution T2-weighted (T2w; SPACE sequence, 0.64 mm3 voxels) and slab T2-weighted (Slab; 2D turbo spin echo, 0.4 x 0.4 x 2 mm3 voxels) images were acquired. The MAGeT Brain algorithm was used for segmentation of the hippocampal grey matter (GM) subfields and peri-hippocampal white matter (WM) subregions. Linear mixed-effect models and Akaike information criterion were used to examine linear, second or third order natural splines relationship between hippocampal volumes and age. We demonstrated that stratum radiatum/lacunosum/moleculare and fornix subregions expressed the highest relative volumetric decrease, while the cornus ammonis 1 presented a relative volumetric preservation of its volume with age. We also found that volumes extracted from slab images were often underestimated and demonstrated different age-related relationships compared to volumes extracted from T1w and T2w images. The current work suggests that although T1w, T2w and slab derived subfield volumetric outputs are largely homologous, modality choice plays a meaningful role in the volumetric estimation of the hippocampal subfields.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 30, 2020.
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Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates
Aurelie Bussy, Eric Plitman, Raihaan Patel, Stephanie Tullo, Alyssa Salaciak, Saashi A. Bedford, Sarah Farzin, Marie-Lise Béland, Vanessa Valiquette, Christina Kazazian, Christine Tardif, Gabriel A. Devenyi, Mallar Chakravarty
bioRxiv 2020.05.28.121343; doi: https://doi.org/10.1101/2020.05.28.121343
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Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates
Aurelie Bussy, Eric Plitman, Raihaan Patel, Stephanie Tullo, Alyssa Salaciak, Saashi A. Bedford, Sarah Farzin, Marie-Lise Béland, Vanessa Valiquette, Christina Kazazian, Christine Tardif, Gabriel A. Devenyi, Mallar Chakravarty
bioRxiv 2020.05.28.121343; doi: https://doi.org/10.1101/2020.05.28.121343

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