The study was led by electrical engineering Professor Krishna Shenoy at Stanford University, whose lab focuses on movement control and neural prostheses - such as artificial arms - controlled by the user's brain.
"This basic neuroscience discovery will help create neural prostheses that can withhold moving a prosthetic arm until the user is certain of their decision, thereby averting premature or inopportune movements," Shenoy said.
Neuroscientist Matthew Kaufman, who was a graduate student in Shenoy's lab, taught laboratory monkeys to perform a decision-making task.
This improvement on what's called the "single trial decoder" algorithm revealed the neural signals that occurred during a momentary hesitation or when the monkey changed his mind.
"We are seeing many cognitive phenomena in the brain for the first time," said Kaufman, who is now a postdoctoral scholar at Cold Spring Harbor Laboratory.
"The most critical result of our work here is that we can track a single decision and see how the monkey arrived there: whether he decided quickly, slowly, or changed his mind halfway through," he said.
Other times, the researchers would switch between these configurations while the monkey was deciding, encouraging a change of mind.
The research focused on the time the monkey spent deliberating, before the actual movement began. The monkey was trained to sit motionless while two jittering targets were positioned on either side of a computer screen.
Coloured barriers on the screen created a simple maze. When the targets stopped jittering the monkey was trained to move to one or the other target by sweeping his fingertip through the maze until he touched one of the targets.
The measurements continued until the targets stopped jittering and the monkey began to move. The interval between the targets' appearance and the beginning of movement marked the time of decision or, in some cases, hesitation.
This deeper understanding of decision-making will help researchers to fine-tune the control algorithms of neural prostheses to enable people with paralysis to drive a brain-controlled prosthetic arm or guide a neurally-activated cursor on a computer screen, researchers said.
