The human brain functions better in a serene environment, suggests new research.
Research at the University of Sheffield used functional brain imaging to assess how the environment impacts upon our brain functions.
The findings have demonstrated that tranquil environmental scenes containing natural features, such as the sea, cause distinct brain areas to become 'connected with one another whilst man-made environments, such as motorways, disrupt the brain connections.
The team carried out functional brain scanning to examine brain activity when people were presented with images of tranquil beach scenes and non-tranquil motorway scenes.
They utilised the fact that waves breaking on a beach and traffic moving on a motorway produce a similar sound, perceived as a constant roar, and presented the participants with images of tranquil beach scenes and non-tranquil motorway scenes while they listened to the same sound associated with both scenes.
Using brain scanning that measures brain activity they showed that the natural, tranquil scenes caused different brain areas to become 'connected with one another - indicating that these brain regions were working in sync.
However, the non-tranquil motorway scenes disrupted connections within the brain.
Michael Hunter of the University of Sheffield said: "People experience tranquillity as a state of calmness and reflection, which is restorative compared with the stressful effects of sustained attention in day-to-day life.
"It is well known that natural environments induce feelings of tranquillity whereas manmade, urban environments are experienced as non-tranquil. We wanted to understand how the brain works when it perceives natural environments, so we can measure its experience of tranquillity."
Peter Woodruff, from SCANLab, said: "This work may have implications for the design of more tranquil public spaces and buildings, including hospitals, because it provides a way of measuring the impact of environmental and architectural features on people's psychological state."
The findings appeared in the journal NeuroImage.