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An analysis of brain scans found that Alzheimer’s disease and mild cognitive impairment had the strongest associations with higher predictive age difference, a measure of how old a brain appears relative to a person’s age. Addiction and some psychiatric conditions were also linked to higher estimates, but the observational study cannot show that these conditions cause faster brain aging.
A study of brain MRI scans has linked Alzheimer’s disease, mild cognitive impairment, addiction and some psychiatric conditions with brains that appear older than expected for a person’s age. Some brain supplements have been studied for their impact on brain health. The research, published in PLOS Medicine, found the strongest associations for Alzheimer’s and mild cognitive impairment, while reporting no overall difference in its brain-aging measure for people with ADHD or autism spectrum disorder.
Researchers led by Shile Qi of Nanjing University of Aeronautics and Astronautics analyzed structural MRI data from 45,900 people used as controls and compared them with scans from 2,698 people with a range of conditions, highlighting the importance of brain health research. These included Alzheimer’s disease, mild cognitive impairment, schizophrenia, bipolar disorder, major depressive disorder, alcohol or tobacco addiction, ADHD and autism spectrum disorder.
The team used predictive age difference, or PAD, which compares a person’s chronological age with an age estimated from brain imaging. A positive PAD indicates that the brain appears older than would typically be expected for that person’s age. Alzheimer’s and mild cognitive impairment showed the strongest associations with higher PAD; addiction and psychiatric disorders were also associated with increased values.
The researchers also examined patterns across brain regions. Higher PAD in the prefrontal cortex appeared across multiple disorders. Psychiatric conditions were associated with higher PAD in frontal and temporal areas, dementia with higher PAD in frontal and occipital areas, and addiction with a pattern involving the default mode and salience networks, putamen and thalamus. The team identified differences in gene transcription associated with conditions, which it said may point to distinct biological processes. For more on brain health and longevity, see this related article.
How Brain-Age Patterns May Help Research
The findings suggest that a single brain-age estimate may capture different patterns across conditions, rather than one shared signature of aging. Mapping where those differences appear could help researchers investigate the brain systems and biological pathways associated with dementia, addiction and psychiatric disorders.
The work may also inform future searches for biomarkers—measurable features that could help researchers distinguish or study conditions. But PAD is a research measure based on imaging, not a diagnosis or a direct measure of an individual’s future health. The study does not establish that an elevated estimate predicts a particular outcome or that changing it would improve health.
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How Researchers Estimate Brain Age
Brain-age studies use imaging data to estimate a person’s age from features of the brain, then compare that estimate with their actual age. In this study, the difference was described as predictive age difference. A positive value means the estimated brain age is above chronological age; it does not by itself establish why that difference exists.
The researchers compared a large control group with people across several neurological and psychiatric categories. The range allowed them to look for both shared and distinct associations. The report also describes the study as supported by research funding from Jiangsu Province and China’s National Natural Science Foundation, and says the funders had no role in the study’s design, analysis, publication decision or manuscript preparation.
“Different neurological disorders appear to leave different signatures on the brain aging clock, which may help researchers better understand the neural and biological pathways involved in these conditions.”
— The study authors
What the Scan Associations Cannot Show
The study is correlational, so it cannot establish that any of the conditions cause faster brain aging. A higher PAD could reflect several influences, and the analysis does not determine the direction of any relationship. The findings also do not show that brain aging causes a disorder.
The authors note that psychiatric conditions and addiction can occur together, making it difficult to isolate each condition’s individual association. The report does not provide enough detail to establish how much the results varied among individuals or how well PAD could distinguish one diagnosis from another. It also does not establish that the measure is ready for clinical use. The reported absence of an overall PAD difference for ADHD and autism is a finding in this analysis, not proof that no brain differences exist in those groups.
Testing PAD in Future Studies
The research points to further work on whether brain-age measures can serve as useful research biomarkers and what biological processes may underlie the patterns. Follow-up studies would need to test the associations in additional samples, account for conditions that overlap, and examine how PAD changes over time.
For now, the results are evidence of statistical associations in MRI data, not a new diagnostic tool or a prediction for any one person. The report does not specify a next study or a timeline for clinical testing, so when or whether PAD might be applied in care remains unknown.
Key Questions
Which conditions had the strongest associations with higher brain-age estimates?
Alzheimer’s disease and mild cognitive impairment showed the strongest associations with higher predictive age difference in the study.
What does a positive predictive age difference mean?
It means the age estimated from a person’s brain imaging is higher than their chronological age. It is a research measure, not a diagnosis on its own.
Did the study find the same pattern for every disorder?
No. The researchers reported different associations across brain regions. They found no overall PAD difference between controls and people with ADHD or autism spectrum disorder in this analysis.
Does the study prove these disorders cause faster brain aging?
No. The findings are correlational and cannot establish cause and effect. The authors also say overlapping conditions, especially psychiatric disorders and addiction, can make individual effects hard to separate.
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