Johns Hopkins study ties low spinal bone density to faster brain aging
Johns Hopkins researchers report in Radiology that lower spinal bone density in 715 people went with faster white-matter and cognitive decline. The team calls it a correlation with probable shared metabolic causes, so a chest-CT screen for brain aging still needs outcome data.
The Scientist · Science desk

Evidence map. Supported: weaker bones associated with faster brain aging and cognitive decline; longer-term research needed to see if it develops into dementia. Insufficient: screening for cognitive decline risk by bone density readings; scans as an opportunistic spine bone density measure.
- Supported The study, reported in Radiology, found an association between weaker bones and signs of faster brain aging, including changes in white matter structure and a faster rate of cognitive decline., claim 2
- Supported Longer-term research will be needed to see whether the faster brain aging observed develops into diagnosed health issues such as dementia., claim 13
- Insufficient evidence The data could be used to screen for people at higher risk of cognitive decline based on bone mineral density readings, but much more data will need to be gathered and analyzed before such predictions can be made., claim 16
- Insufficient evidence "These scans could provide an opportunistic measurement of bone density from the thoracic spine that is associated with a loss of cognitive function.", claim 18
| Claim | State | Claim number |
|---|---|---|
| The study, reported in Radiology, found an association between weaker bones and signs of faster brain aging, including changes in white matter structure and a faster rate of cognitive decline. | Supported | 2 |
| Longer-term research will be needed to see whether the faster brain aging observed develops into diagnosed health issues such as dementia. | Supported | 13 |
| The data could be used to screen for people at higher risk of cognitive decline based on bone mineral density readings, but much more data will need to be gathered and analyzed before such predictions can be made. | Insufficient evidence | 16 |
| "These scans could provide an opportunistic measurement of bone density from the thoracic spine that is associated with a loss of cognitive function." | Insufficient evidence | 18 |
What happened
- Bone density was read from the spine on chest CT scans by a specially developed AI algorithm, with no separate bone test.
- Lower bone density went with more white matter hyperintensities, bright spots that mark damaged tissue, in some brain regions.
- Radiologist Shadpour Demehri said the link may reflect shared drivers such as insulin resistance, dyslipidemia and menopausal change, not a bone-to-brain effect.
Why it matters
- capability Chest CTs already ordered for lung cancer screening, calcium scoring and nodule follow-up could yield a bone density reading without an extra scan, if the algorithm holds up outside a research cohort.
- constraint The follow-up tracks imaging and test-score change over several years and does not reach diagnosed dementia, so it cannot yet justify a screening cutoff for any individual.
- decision Under the team's shared-driver explanation, a low reading would prompt a look at metabolic health. Nothing in the study supports expecting bone treatment to slow brain decline.
The data on all 715 participants had already been collected by a long-running health research project [3]. The Johns Hopkins team worked from those existing records [1]. Bone density was read from the spine on the baseline chest CT. Brain scans and repeat cognitive tests followed several years later [4][5]. Because of that order, the bone reading comes before the brain change the study tracks. Shadpour Demehri, a Johns Hopkins radiologist, called it "the first longitudinal secondary analysis linking baseline vertebral bone mineral density to changes in white matter structure, white matter hyperintensity progression and cognition" [15].
Getting the timing right still does not establish a cause, and the team does not claim one. "This study is not about cause and effect, but rather the observation of a metabolic syndrome that may cause both bone and brain degeneration," Demehri said [11]. He named likely common drivers: "The co-occurrence observed in the study may reflect shared metabolic drivers of aging, including insulin resistance, dyslipidemia, and menopausal change, rather than a direct bone-to-brain effect" [12].
Demehri also said the work "sends a clear signal that bone density at baseline is associated with both functional and imaging measures of age-related brain degeneration" [10]. The published account does not include effect sizes, the variables the models adjusted for, or how the AI bone readings were checked against a reference measurement. Without those, the results show where the association turned up but not how strong it was. Lower density went with faster decline in thinking-test scores [9]. It also went with more hyperintensities in some brain regions and with fractional anisotropy changes in others [6][7]. Those regions have previously been tied to executive function, working memory and attention [8].
The measurement is the part closest to clinical use. "Chest CT is done for lung cancer screening, calcium scoring, nodule follow-up, and many other indications," said Sara Momtazmanesh, also a Johns Hopkins radiologist [17]. "These scans could provide an opportunistic measurement of bone density from the thoracic spine that is associated with a loss of cognitive function" [18]. Demehri put it more broadly: "Diagnostic images contain an immense amount of data that AI can now synthesize at scale across multiple organ systems" [14].
The study does not show whether one person's low reading predicts that person's decline. A longitudinal association says the low-density group declined faster on average. We think a screen needs two more things: evidence that a single reading separates people who decline faster from those who don't, and outcomes that count as disease. ScienceAlert's report says longer-term research is needed to see whether the faster brain aging develops into diagnosed conditions such as dementia [13]. It adds that much more data must be gathered and analysed before bone readings could be used to predict risk [16].
What to watch
- Longer follow-up of the same cohort showing whether low-density participants go on to dementia diagnoses.
- Published effect sizes and adjustment for insulin resistance, lipids and menopause status, which would test the shared-driver explanation.
- Validation of the AI chest-CT bone reading in clinical lung-cancer-screening patients against a standard bone density measurement.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+10
- Incentives
- Insufficient
- Confidence45
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
Researchers led by a team from Johns Hopkins University looked at the relationship between low bone mineral density in the spine and signs of cognitive decline, including two markers of brain damage that show up on scans.
- [2]
The study, reported in Radiology, found an association between weaker bones and signs of faster brain aging, including changes in white matter structure and a faster rate of cognitive decline.
- [3]
The study involved 715 participants whose data had already been collected as part of a long-running health research project.
- [4]
Participants had chest scans and took thinking and memory tests, followed up with brain scans and further cognitive tests several years after the first batch.
- [5]
To get bone mineral density readings from the chest CT scans, the researchers used a specially developed AI algorithm.
- [6]
In some brain regions, lower bone mineral density was linked to more white matter hyperintensities, bright spots on scans that highlight damaged tissue.
- [7]
Lower bone mineral density was also associated with white matter fractional anisotropy in other areas, an indicator of weaker brain structure.
- [8]
The brain regions where these signs of damage appeared have previously been linked to executive functioning, working memory and attention.
- [9]
Faster decline in thinking test scores correlated with lower bone mineral density.
- [10]
"This comprehensive study using both imaging and clinical assessments sends a clear signal that bone density at baseline is associated with both functional and imaging measures of age-related brain degeneration."
- [11]
"This study is not about cause and effect, but rather the observation of a metabolic syndrome that may cause both bone and brain degeneration."
- [12]
"The co-occurrence observed in the study may reflect shared metabolic drivers of aging, including insulin resistance, dyslipidemia, and menopausal change, rather than a direct bone-to-brain effect."
- [13]
Longer-term research will be needed to see whether the faster brain aging observed develops into diagnosed health issues such as dementia.
- [14]
"Diagnostic images contain an immense amount of data that AI can now synthesize at scale across multiple organ systems."
- [15]
"This study is the first longitudinal secondary analysis linking baseline vertebral bone mineral density to changes in white matter structure, white matter hyperintensity progression and cognition."
- [16]
The data could be used to screen for people at higher risk of cognitive decline based on bone mineral density readings, but much more data will need to be gathered and analyzed before such predictions can be made.
- [17]
"Chest CT is done for lung cancer screening, calcium scoring, nodule follow-up, and many other indications."
- [18]
"These scans could provide an opportunistic measurement of bone density from the thoracic spine that is associated with a loss of cognitive function."
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Sources
1 independent publisher whose own reporting we read for this story.
- sciencealert.comWeaker Bones Have Been Linked to Faster Brain Aging in a New Study
1 article · October 10, 2026
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Topics
Entities
- Johns Hopkins UniversityFollow
- Radiology (journal)Follow
- Shadpour DemehriFollow
- Sara MomtazmaneshFollow