A recent study at the Georgia Institute of Technology has explored how the brain maintains deep focus. The research made use of fMRI to monitor fluctuations in brain networks during states of high and low focus.
The study found that different brain networks sync and desync, affecting a person’s ability to pay attention. This new understanding could lead to better ways of improving focus and attention in various tasks.
The research shows a recurring pattern every 20 seconds in the relationship between brain network fluctuations and sustained attention. Key brain networks include the fronto-parietal control network (FPCN) and the default mode network (DMN), which help with task focus and internal thought respectively.
The synchronization between these networks can predict changes in attention levels and could help improve cognitive function. This pioneering work could lead to a better understanding of more complex behaviors and focus states.
The research, led by graduate student Dolly Seeburger and her advisor Prof.Eric Schumacher, opens up possibilities for new therapies and strategies that can help people optimize their brain networks.
