4.7 Article

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

期刊

NEUROIMAGE
卷 233, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.117931

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资金

  1. Alzheimer Society of Canada
  2. Canadian Institutes of Health Research
  3. Natural Sciences and Engineering Research Council of Canada
  4. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
  5. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  6. National Institute on Aging
  7. National Institute of Biomedical Imaging and Bioengineering
  8. Alzheimer's Association
  9. Alzheimer's Drug Discovery Foundation
  10. Araclon Biotech
  11. Biogen
  12. Bristol-Myers Squibb Company
  13. CereSpir, Inc.
  14. Cogstate
  15. Elan Pharmaceuticals, Inc.
  16. Eli Lilly and Company
  17. EuroImmun
  18. F. Hoffmann-La Roche Ltd
  19. Fujirebio
  20. Johnson AMP
  21. Johnson Pharmaceutical Research AMP
  22. Development LLC.
  23. Merck Co., Inc.
  24. Meso Scale Diagnostics, LLC.
  25. NeuroRx Research
  26. Novartis Pharmaceuticals Corporation
  27. Pfizer Inc.
  28. Piramal Imaging
  29. Takeda Pharmaceutical Company
  30. UK Biotechnology and Biological Sciences Research Council [BB/H008217/1]
  31. UK Medical Research Council
  32. University of Cambridge, UK
  33. Weston Brain Institute
  34. Fondation de Recherches SanteQuebec
  35. AbbVie
  36. BioClinica, Inc.
  37. Eisai Inc.
  38. GE Healthcare
  39. IXICO Ltd.
  40. Janssen Alzheimer Immunotherapy Research AMP
  41. Development, LLC.
  42. Lumosity
  43. Lundbeck
  44. Neurotrack Technologies
  45. Servier
  46. Transition Therapeutics
  47. Genentech, Inc.

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This study investigated the inconsistencies in the relationship between hippocampal subfield volumes and age, finding that volumes extracted from slab images demonstrated different age-related relationships compared to volumes extracted from T1w and T2w images. Different hippocampal subfields showed varying trends of relative volumetric decrease, implying that modality choice plays a meaningful role in the volumetric estimation of the hippocampal subfields.
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 mm(3) voxels), high-resolution T2-weighted (T2w; SPACE sequence, 0.64 mm3 voxels) and slab T2-weighted (Slab; 2D turbo spin echo, 0.4 x0.4 x2 mm(3) voxels) images were included. 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 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.

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