Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fujita, Shohei, Mori, Susumu, Onda, Kengo, Hanaoka, Shouhei, Nomura, Yukihiro, Nakao, Takahiro, Yoshikawa, Takeharu, Takao, Hidemasa, Hayashi, Naoto, Abe, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
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
_version_ 1785066207868616704
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
work_keys_str_mv AT fujitashohei characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT morisusumu characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT ondakengo characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT hanaokashouhei characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT nomurayukihiro characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT nakaotakahiro characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT yoshikawatakeharu characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT takaohidemasa characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT hayashinaoto characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging
AT abeosamu characterizationofbrainvolumechangesinagingindividualswithnormalcognitionusingserialmagneticresonanceimaging