Changes in white matter fiber density and morphology across the adult lifespan: A cross-sectional fixel-based analysis.


Journal

Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065

Informations de publication

Date de publication:
15 08 2020
Historique:
received: 23 07 2019
revised: 27 03 2020
accepted: 01 04 2020
pubmed: 19 4 2020
medline: 15 12 2021
entrez: 19 4 2020
Statut: ppublish

Résumé

White matter (WM) fiber bundles change dynamically with age. These changes could be driven by alterations in axonal diameter, axonal density, and myelin content. In this study, we applied a novel fixel-based analysis (FBA) framework to examine these changes throughout the adult lifespan. Using diffusion-weighted images from a cohort of 293 healthy volunteers (89 males/204 females) from ages 21 to 86 years old, we performed FBA to analyze age-related changes in microscopic fiber density (FD) and macroscopic fiber morphology (fiber cross section [FC]). Our results showed significant and widespread age-related alterations in FD and FC across the whole brain. Interestingly, some fiber bundles such as the anterior thalamic radiation, corpus callosum, and superior longitudinal fasciculus only showed significant negative relationship with age in FD values, but not in FC. On the other hand, some segments of the cerebello-thalamo-cortical pathway only showed significant negative relationship with age in FC, but not in FD. Analysis at the tract-level also showed that major fiber tract groups predominantly distributed in the frontal lobe (cingulum, forceps minor) exhibited greater vulnerability to the aging process than the others. Differences in FC and the combined measure of FD and cross section values observed between sexes were mostly driven by differences in brain sizes although male participants tended to exhibit steeper negative linear relationship with age in FD as compared to female participants. Overall, these findings provide further insights into the structural changes the brain's WM undergoes due to the aging process.

Identifiants

pubmed: 32304267
doi: 10.1002/hbm.25008
pmc: PMC7375080
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3198-3211

Subventions

Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : 26117002
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : 80569781
Organisme : Ministry of Health, Labour and Welfare
Organisme : Ministry of Higher Education Malaysia HI-CoE Program

Informations de copyright

© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.

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Auteurs

Shao Wei Choy (SW)

Center for Intelligent Signal and Imaging Research, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia.

Epifanio Bagarinao (E)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Hirohisa Watanabe (H)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.
Department of Neurology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Eric Tatt Wei Ho (ETW)

Center for Intelligent Signal and Imaging Research, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia.

Satoshi Maesawa (S)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.
Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Daisuke Mori (D)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Kazuhiro Hara (K)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Kazuya Kawabata (K)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Noritaka Yoneyama (N)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Reiko Ohdake (R)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Kazunori Imai (K)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Michihito Masuda (M)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Takamasa Yokoi (T)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Aya Ogura (A)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Toshiaki Taoka (T)

Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Shuji Koyama (S)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Hiroki C Tanabe (HC)

Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan.

Masahisa Katsuno (M)

Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Toshihiko Wakabayashi (T)

Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Masafumi Kuzuya (M)

Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine and Institute of Innovation for Future Society, Nagoya University, Nagoya, Aichi, Japan.

Minoru Hoshiyama (M)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Haruo Isoda (H)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Shinji Naganawa (S)

Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Norio Ozaki (N)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.
Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Gen Sobue (G)

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

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