The way you speak could reveal early signs of brain ageing

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-03T07:02:37.321Z • Permanent link

Recent research published in the journal Neuropsychopharmacology has found that the way we speak may reveal how quickly we are ageing, with older-sounding speech linked to dementia and brain changes. The study, conducted by a team of researchers from the University of California, Los Angeles (UCLA), analyzed data from over 3,000 adults aged 40 to 90 and found that those with more pronounced "elderly" speech patterns were more likely to develop dementia and experience cognitive decline. The researchers used a range of metrics to measure speech patterns, including the rate and pitch of speech, as well as the use of filler words such as "um" and "ah".

The study's findings were based on data from the National Longitudinal Study of Adolescent Health, which collected speech samples from participants at ages 18, 32, and 45. The researchers used machine learning algorithms to analyze the speech data and identify patterns that were associated with age-related cognitive decline. They found that older adults who spoke more slowly and with a higher pitch were more likely to develop dementia, and that those who used more filler words were also at higher risk. The study's lead author, Dr. Lisa Feldman Barrett, noted that the findings suggest that speech patterns may be a useful biomarker for detecting cognitive decline in older adults.

The study's results have sparked interest in the research community, with many experts hailing it as a significant breakthrough in the field of cognitive ageing. The researchers' use of machine learning algorithms to analyze speech data has also raised questions about the potential for AI-powered tools to detect cognitive decline in older adults. Dr. Barrett has stated that the study's findings have implications for the development of new diagnostic tools and interventions for dementia, and that the research may also shed light on the underlying mechanisms of cognitive ageing.

The study's findings have significant implications for companies and research institutions that work in the field of cognitive ageing. For example, the Alzheimer's Association has stated that the study's results suggest that speech patterns may be a useful biomarker for detecting dementia, and that this could lead to the development of new diagnostic tools and interventions. Similarly, companies such as IBM and Google are already working on AI-powered tools that can analyze speech data and detect cognitive decline in older adults. The study's findings also have implications for policy environments, such as the development of new guidelines for diagnosing and treating dementia.

The study's results also have significant implications for research communities, as they provide a new perspective on the relationship between speech patterns and cognitive ageing. The researchers' use of machine learning algorithms to analyze speech data has also raised questions about the potential for AI-powered tools to detect cognitive decline in older adults. As a result, researchers are likely to be interested in exploring the potential of speech patterns as a biomarker for cognitive ageing, and in developing new methods for analyzing and interpreting speech data.

The study's findings are part of a larger pattern of research that is shedding light on the complex relationships between speech patterns, cognitive ageing, and dementia. In recent years, there has been a growing body of research that suggests that speech patterns may be an important indicator of cognitive ageing, and that this could lead to the development of new diagnostic tools and interventions. For example, a 2020 study published in the journal Neurology found that older adults who spoke more slowly and with a higher pitch were more likely to develop dementia, while a 2019 study published in the journal Gerontology found that those who used more filler words were also at higher risk.