Evidence map›Paper›PMID 38970221›Full record

ArticleBrain and behavior2024

Evaluating age-and gender-related changes in brain volumes in normal adult using synthetic magnetic resonance imaging.

Zuofeng Zheng, Yawen Liu, Zhenchang Wang, Hongxia Yin, Dongpo Zhang, Jiafei Yang

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Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zuofeng ZhengDepartment of Radiology, Beijing ChuiYangLiu Hospital, Beijing, China.ORCID 0000-0002-7911-6342
Yawen LiuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hongxia YinDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Dongpo ZhangDepartment of Radiology, Beijing ChuiYangLiu Hospital, Beijing, China.
Jiafei YangDepartment of Radiology, Beijing ChuiYangLiu Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNormal aging is associated with brain volume change, and brain segmentation can be performed within an acceptable scan time using synthetic magnetic resonance imaging (MRI). This study aimed to investigate the brain volume changes in healthy adult according to age and gender, and provide age- and gender-specific reference values using synthetic MRI.

methodsA total of 300 healthy adults (141 males, median age 48; 159 females, median age 50) were underwent synthetic MRI on 3.0 T. Brain parenchymal volume (BPV), gray matter volume (GMV), white matter volume (WMV), myelin volume (MYV), and cerebrospinal fluid volume (CSFV) were calculated using synthetic MRI software. These volumes were normalized by intracranial volume to normalized GMV (nGMV), normalized WMV (nWMV), normalized MYV (nMYV), normalized BPV (nBPV), and normalized CSFV (nCSFV). The normalized brain volumes were plotted against age in both males and females, and a curve fitting model that best explained the age dependence of brain volume was identified. The normalized brain volumes were compared between different age and gender groups.

resultsThe approximate curves of nGMV, nWMV, nCSFV, nBPV, and nMYV were best fitted by quadratic curves. The nBPV decreased monotonously through all ages in both males and females, while the changes of nCSFV showed the opposite trend. The nWMV and nMYV in both males and females increased gradually and then decrease with age. In early adulthood (20s), nWMV and nMYV in males were lower and peaked later than that in females (p < .005). The nGMV in both males and females decreased in the early adulthood until the 30s and then remains stable. A significant decline in nWMV, nBPV, and nMYV was noted in the 60s (Turkey test, p < .05).

conclusionsOur study provides age- and gender-specific reference values of brain volumes using synthetic MRI, which could be objective tools for discriminating brain disorders from healthy brains.

Indexed as

AgingBrainMagnetic Resonance ImagingAdultAgedAge FactorsFemaleGray MatterHumansMaleMiddle AgedOrgan SizeReference ValuesSex CharacteristicsSex FactorsWhite Matteragingbrain segmentationquantitative MRIsynthetic MRI

Identifiers

PMID38970221
PMCPMC11226539

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.