Declining dopamine may explain why older people take fewer risks

The study, published in Current Biology, found that older people were less likely to choose risky gambles to win more points in a smartphone app called The Great Brain Experiment. However, they were no different to younger participants when it came to choosing risky gambles to avoid losing points. It is widely believed that older people don't take risks, but the study shows exactly what kind of risks older people avoid.

The steady decline in risky choices with age matches a steady decline in dopamine levels. Throughout adult life, dopamine levels fall by up to 10% every decade.

Dopamine is a chemical in the brain involved in predicting which actions will lead to rewards, and the researchers previously found that volunteers chose significantly more risky gambles to win more money when given a drug that boosted dopamine levels.

"As we age, our dopamine levels naturally decline which could explain why we are less likely to seek rewards," explains lead author Dr Robb Rutledge (UCL Institute of Neurology and Max Planck UCL Centre for Computational Psychiatry and Ageing Research). "The effects we saw in the experiment may be due to dopamine decline, since age was associated with only one type of risk taking and mirrored the known effects of dopamine drugs on decision making. Older people were not more risk-averse overall, and they didn't make more mistakes than young people did. Older people were simply less attracted to big rewards and this made them less willing to take risks to try to get them."

The experiment involved 25,189 smartphone users aged 18-69 who played a game in The Great Brain Experiment smartphone app that involves gambling for points. In the game, players start with 500 points and aim to win as many points as possible in thirty different trials where they must choose between a safe option and a risky 50/50 gamble.

In the 'gain' trials, players can either choose a guaranteed number of points or a 50/50 chance of winning more points or gaining nothing. The 'loss' trials are the same in reverse, where players can lose a fixed number of points or gamble with a chance of losing more points or nothing. In the 'mixed' trials, players can choose zero points or to gamble with a chance of either gaining or losing points.

On average, all age groups chose to gamble in approximately 56% of the loss trials and 67% of the mixed trials. In the gain trials, 18-24 year olds gambled in 72% of trials and this fell steadily to 64% in the 60-69 age group.

This study also involved mathematical equations which allowed the authors to make specific predictions for how loss of dopamine would affect decision making.

"A loss of dopamine may explain why older people are less attracted to the promise of potential rewards," says Dr Rutledge. "Decisions involving potential losses were unaffected and this may be because different processes important for losses are not affected by ageing.

"Political campaigners often frame voting decisions negatively, for example saying that UK households would be £4,300 worse off if the UK decides later this month to leave the EU rather than £4,300 better off if the UK decides to remain part of the EU. They already know that negative messaging helps to persuade older people, whereas a more optimistic approach that emphasizes large potential rewards might appeal more to younger people who are less likely to vote. Our new findings offer a potential neuroscientific explanation, suggesting that a natural decline in dopamine with age might make people less receptive to the positive approach than they would have been when they were younger."

Dr Raliza Stoyanova, from the Neuroscience and Mental Health team at Wellcome, which funded the study, says: "This study is an excellent example of the use of digital technology to produce new and robust insights into the workings of the brain. Smartphone apps allowed the researchers to capture decision-making outside of typical 'lab' settings, and to reach more people from varied backgrounds than is typically possible.

"It will be exciting to see what else the data generated from the Great Brain Experiment will reveal about risk and decision-making, as well as other complex brain processes like memory and attention." 

Links

• Research paper in Current Biology
  
• Dr Robb Rutledge's academic profile on IRIS
• Max Planck UCL Centre for Computational Psychiatry
• UCL Institute of Neurology

Images

• Screenshots from the Great Brain Experiment app showing examples of the 'Gain', 'Loss' and 'Mixed' scenarios respectively.

Media contact

Harry Dayantis:

Tel: +44(0)20 3108 3844

Email: h.dayantis [at] ucl.ac.uk