Researchers used diffusion-weighted imaging to map white brain matter pathways and identify structural connections, and they used fMRIs (functional magnetic resonance images) to model functional connections, which they found were most prominent while subjects were in a resting state.
Although it is easiest to identify a subject when bursts of brain activity occur in longer time intervals, researchers found that the length of time in which these cognitive connections are made correlates with the functions of different parts of the brain; visual and voluntary motor functions tend to appear in shorter intervals, while activity in the frontoparietal region—which is associated with executive functioning and problem-solving—more often occurs in longer sequences.
These findings break new ground in neuroscientists’ understanding of brain “fingerprints” and may make the process of identifying people based on these fingerprints significantly easier.
“It’s as if a person with Alzheimer’s loses his or her brain identity,” said Enrico Amico, a scientist with Swiss university Ecole Polytechnique Fédérale de Lausanne’s (EPFL) Medical Image Processing Laboratory and Center for Neuroprosthetics.
This phenomenon could make it easier to detect Alzheimer’s while it is still in its early stages, and may even help identify patients with autism, stroke, or drug addiction.