News
Predictable music beats could help tune your blood pressure

A new study has found that blood pressure synchronises to predictable phrase structures in music.
Blood pressure was more affected by loudness than tempo and was more strongly influenced by phrase structures that were more predictable.
The researchers say the research finding could help to inform personalised music based cardiovascular therapies for those with high blood pressure in the future.
Musicians modulate the tempo and loudness of music in understandable ways to mark phrases and phrase boundaries, which contributes to the patterns we hear.
Some music has more predictable phrase structures, which can add to the enjoyment of listeners.
Study lead Professor Elaine Chew is a pianist by training and is also a Professor of Engineering at King’s College London.
She explained: “Like language, music has patterns and phrases which form expressive structures, and this is often what strikes a chord with listeners.
“This research tells us that more predictable music phrase structures have a bigger impact in regulating the cardiovascular system.”
“This study follows our previous research that showed that respiration and heart rate is also influenced by phase structures,” she continued.
Stronger synchronisation was observed for predictable phrases, which are more regular, of duration similar to slow-paced breathing, and in longer tracks therefore having more phrase instances.
92 participants had their blood pressure continuously monitored listening to nine out of 30 piano music tracks.
A Bayesian algorithm, also by Chew’s team, enabled a computer to automatically detect music tempo and loudness phrase arc boundaries.
Performers denote phrases with arc-like changes in expressive music features that drive listener’s responses.
Sixty women and 32 men took part with a mean age of 42 years old.
The 30 tracks used in the research were original recordings of legendary performances by master pianists, and the researchers altered their expressivity in systematic ways to observe the effect on cardiovascular variables.
The music was played back to participants on a reproducing piano for consistency, and to come as close to a live performance as possible in a controlled experimental setting.
In 25 out of 30 tracks, blood pressure entrained more to loudness than tempo.
Increased predictability of the phrase structures in the music allowed the listener to anticipate phrase changes and was found to lead to higher blood pressure-music synchronisation, which may strengthen the body’s ability to regulate blood pressure.
From the playlist, the recording that had the most predictable phrase structures, and the biggest impact on blood pressure, was the English pianist Harold Bauer’s performance of Franz Liszt’s transcription of Franz Schubert’s Serenade.
The study used classical piano music because it was possible to vary the music and simulate a ‘live’ experience in a research setting.
However, the researchers argue that the methods and strategies used are transferrable to any music with phrase indications.
“Throughout time and across cultures, humans have moved and grooved to music.
“There are likely to be biological and social advantages to being able to coordinate our actions to an external rhythm, such as people on a boat synchronising their rowing,” Professor Chew added.
“To coordinate our actions in this way, we need to be able to anticipate the beginnings and ends of rhythm cycles.
“It is this anticipation that likely influences our cardiorespiratory cycles.
“It feels good to synchronise to musical structures – research has found that music uses the same reward system as food, sex and drugs,” she continued.
The researchers measured ‘entrainment’, which is the synchronisation of physiological rhythms with external stimuli.
This can be quantified using Earth Mover’s Distance (EMD) to produce a similarity measure between music and physiology.
The participant’s blood pressure waveform was incorporated into the music’s beat time.
Blood pressure measurements for each track were shuffled with their responses to other tracks to understand their statistical significance.
This helped to determine whether the blood pressure response was influenced by the music they were hearing, rather than being a random variation in the individual’s physiology.
The researchers note that music is increasingly being recognised as a potential non-pharmacological intervention to regulate the cardiovascular system.
Professor Chew concluded: “This research raises the intriguing possibility that we could design music therapies to elicit specific biological responses in the future.
“This could be tailored specifically to individuals, bringing us closer to music as precision medicine.
“In the longer term, one day we may be able to use music to prevent heart disease or slow, arrest, or reverse its progression.”
News
Mole rat gene extends mouse lifespan
News
AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
News
Vision implant firm raises US$230m
News2 weeks agoInterview: The US company appealing Europe’s rejection of daily Alzheimer’s pill
News4 weeks agoLongevity startup Biopeak raises US$2.7m
Markets & Industry4 weeks agoBryan Johnson launches US$1m longevity programme
News4 weeks agoAgetech investment & innovation round-up
News4 weeks agoInterview: Dr Matthew Bennett on building resilience and a pain-free healthspan
News2 weeks agoCentenarians’ blood reveals longevity clues
News4 weeks agoRe:Cognition and Cera expand Alzheimer’s clinical trials access
News4 weeks agoFrench biotech raises €12m for osteoarthritis trial

















