A team of scientists led by Oxford University's Centre for Functional MRI of the Brain studied the connections in the brains of 461 people and compared them with 280 different behavioural and demographic measures that were recorded for the same participants.
They found that variation in brain connectivity and an individual's traits lay on a single axis - where those with classically positive lifestyles and behaviours had different connections to those with classically negative ones.
The researchers took the data from 461 of the scans and used it to create an averaged map of the brain's processes across the participants.
"You can think of it as a population-average map of 200 regions across the brain that are functionally distinct from each other," said lead author Stephen Smith, from Oxford University.
"Then, we looked at how much all of those regions communicated with each other, in every participant," he said.
The team then added the 280 different behavioural and demographic measures for each subject and performed a 'canonical correlation analysis' between the two data sets - a mathematical process that can unearth relationships between the two large sets of complex variables.
They found one strong correlation that relates specific variations in a subject's connectome with their behavioural and demographic measures.
The correlation shows that those with a connectome at one end of scale score highly on measures typically deemed to be positive, such as vocabulary, memory, life satisfaction, income and years of education.
The researchers point out that their results resemble what psychologists refer to as the 'general intelligence g-factor' - a variable used to summarise a person's abilities at different cognitive tasks.
The study was published in the journal Nature Neuroscience.
