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Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging
IMPORTANCE: Characterizing longitudinal patterns of regional brain volume changes in a population with normal cognition at the individual level could improve understanding of the brain aging process and may aid in the prevention of age-related neurodegenerative diseases. OBJECTIVE: To investigate ag...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308250/ https://www.ncbi.nlm.nih.gov/pubmed/37378985 http://dx.doi.org/10.1001/jamanetworkopen.2023.18153 |
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author | Fujita, Shohei Mori, Susumu Onda, Kengo Hanaoka, Shouhei Nomura, Yukihiro Nakao, Takahiro Yoshikawa, Takeharu Takao, Hidemasa Hayashi, Naoto Abe, Osamu |
author_facet | Fujita, Shohei Mori, Susumu Onda, Kengo Hanaoka, Shouhei Nomura, Yukihiro Nakao, Takahiro Yoshikawa, Takeharu Takao, Hidemasa Hayashi, Naoto Abe, Osamu |
author_sort | Fujita, Shohei |
collection | PubMed |
description | IMPORTANCE: Characterizing longitudinal patterns of regional brain volume changes in a population with normal cognition at the individual level could improve understanding of the brain aging process and may aid in the prevention of age-related neurodegenerative diseases. OBJECTIVE: To investigate age-related trajectories of the volumes and volume change rates of brain structures in participants without dementia. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted from November 1, 2006, to April 30, 2021, at a single academic health-checkup center among 653 individuals who participated in a health screening program with more than 10 years of serial visits. EXPOSURE: Serial magnetic resonance imaging, Mini-Mental State Examination, health checkup. MAIN OUTCOMES AND MEASURES: Volumes and volume change rates across brain tissue types and regions. RESULTS: The study sample included 653 healthy control individuals (mean [SD] age at baseline, 55.1 [9.3] years; median age, 55 years [IQR, 47-62 years]; 447 men [69%]), who were followed up annually for up to 15 years (mean [SD], 11.5 [1.8] years; mean [SD] number of scans, 12.1 [1.9]; total visits, 7915). Each brain structure showed characteristic age-dependent volume and atrophy change rates. In particular, the cortical gray matter showed a consistent pattern of volume loss in each brain lobe with aging. The white matter showed an age-related decrease in volume and an accelerated atrophy rate (regression coefficient, −0.016 [95% CI, −0.012 to –0.011]; P < .001). An accelerated age-related volume increase in the cerebrospinal fluid–filled spaces, particularly in the inferior lateral ventricle and the Sylvian fissure, was also observed (ventricle regression coefficient, 0.042 [95% CI, 0.037-0.047]; P < .001; sulcus regression coefficient, 0.021 [95% CI, 0.018-0.023]; P < .001). The temporal lobe atrophy rate accelerated from approximately 70 years of age, preceded by acceleration of atrophy in the hippocampus and amygdala. CONCLUSIONS AND RELEVANCE: In this cohort study of adults without dementia, age-dependent brain structure volumes and volume change rates in various brain structures were characterized using serial magnetic resonance imaging scans. These findings clarified the normal distributions in the aging brain, which are essential for understanding the process of age-related neurodegenerative diseases. |
format | Online Article Text |
id | pubmed-10308250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-103082502023-06-30 Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging Fujita, Shohei Mori, Susumu Onda, Kengo Hanaoka, Shouhei Nomura, Yukihiro Nakao, Takahiro Yoshikawa, Takeharu Takao, Hidemasa Hayashi, Naoto Abe, Osamu JAMA Netw Open Original Investigation IMPORTANCE: Characterizing longitudinal patterns of regional brain volume changes in a population with normal cognition at the individual level could improve understanding of the brain aging process and may aid in the prevention of age-related neurodegenerative diseases. OBJECTIVE: To investigate age-related trajectories of the volumes and volume change rates of brain structures in participants without dementia. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted from November 1, 2006, to April 30, 2021, at a single academic health-checkup center among 653 individuals who participated in a health screening program with more than 10 years of serial visits. EXPOSURE: Serial magnetic resonance imaging, Mini-Mental State Examination, health checkup. MAIN OUTCOMES AND MEASURES: Volumes and volume change rates across brain tissue types and regions. RESULTS: The study sample included 653 healthy control individuals (mean [SD] age at baseline, 55.1 [9.3] years; median age, 55 years [IQR, 47-62 years]; 447 men [69%]), who were followed up annually for up to 15 years (mean [SD], 11.5 [1.8] years; mean [SD] number of scans, 12.1 [1.9]; total visits, 7915). Each brain structure showed characteristic age-dependent volume and atrophy change rates. In particular, the cortical gray matter showed a consistent pattern of volume loss in each brain lobe with aging. The white matter showed an age-related decrease in volume and an accelerated atrophy rate (regression coefficient, −0.016 [95% CI, −0.012 to –0.011]; P < .001). An accelerated age-related volume increase in the cerebrospinal fluid–filled spaces, particularly in the inferior lateral ventricle and the Sylvian fissure, was also observed (ventricle regression coefficient, 0.042 [95% CI, 0.037-0.047]; P < .001; sulcus regression coefficient, 0.021 [95% CI, 0.018-0.023]; P < .001). The temporal lobe atrophy rate accelerated from approximately 70 years of age, preceded by acceleration of atrophy in the hippocampus and amygdala. CONCLUSIONS AND RELEVANCE: In this cohort study of adults without dementia, age-dependent brain structure volumes and volume change rates in various brain structures were characterized using serial magnetic resonance imaging scans. These findings clarified the normal distributions in the aging brain, which are essential for understanding the process of age-related neurodegenerative diseases. American Medical Association 2023-06-28 /pmc/articles/PMC10308250/ /pubmed/37378985 http://dx.doi.org/10.1001/jamanetworkopen.2023.18153 Text en Copyright 2023 Fujita S et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Fujita, Shohei Mori, Susumu Onda, Kengo Hanaoka, Shouhei Nomura, Yukihiro Nakao, Takahiro Yoshikawa, Takeharu Takao, Hidemasa Hayashi, Naoto Abe, Osamu Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title | Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title_full | Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title_fullStr | Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title_full_unstemmed | Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title_short | Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging |
title_sort | characterization of brain volume changes in aging individuals with normal cognition using serial magnetic resonance imaging |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308250/ https://www.ncbi.nlm.nih.gov/pubmed/37378985 http://dx.doi.org/10.1001/jamanetworkopen.2023.18153 |
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