Where does your brain want to have lunch?
Cedars-Sinai Medical Center
New research published by investigators at Cedars-Sinai advances scientific understanding of how the brain weighs decisions involving what people like or value, such as choosing which book to read, which restaurant to pick for lunch -- or even, which slot machine to play in a casino.
Published in the peer-reviewed journal Nature Human Behaviour, this study involved recording the activity of individual human neurons.
The study examined decisions called value-based choices, where there is
not necessarily a right or wrong option, according to Ueli Rutishauser, PhD,
senior author of the study, director of the Center for Neural Science and
Medicine, and professor of Neurology, Neurosurgery and Biomedical Sciences at
Cedars-Sinai.
"Learning how the brain makes these kinds of choices could help us better understand neurological disorders including addiction and obsessive-compulsive disorder," Rutishauser said, "because all of these conditions can involve a person making the same choice over and over to their detriment."
The 20 study participants, all volunteers, were patients with epilepsy who
were hospitalized while doctors monitored their brain activity to determine the
focal points of their seizures. This allowed investigators to record the
activity of individual neurons within their brains while participants played a
computer slot-machine game.
The game, called "two-armed bandit," let participants choose one
of two simulated slot machines in each round. Participants pushed a button to
select their "bandit," which then either paid out or did not. The
bandits had unique markings, so participants could tell whether they had played
each one before, and participants played several rounds over a 30-minute
period.
Rutishauser explained the factors involved in making value-based choices:
Familiar options: "If participants had chosen a bandit several
times before, they had a fairly good idea of how often it was a winner."
Uncertain options: "For bandits they had only played a
few times, participants were less certain of their prospect of a win."
New options: "When a new bandit appeared for the first
time, participants had to decide whether to choose a familiar bandit or risk
choosing a new one. Sometimes it just feels good to do something new, and that
has its own intrinsic value."
Previous studies relied on functional magnetic resonance imaging (MRI) to
monitor brain activity, and suggested that a brain region called the
ventromedial prefrontal cortex (vmPFC) plays a primary role in weighing these
factors. But in this recent study, Cedars-Sinai investigators determined that a
completely different area, called the pre-supplementary motor area (pre-SMA),
actually takes the lead.
Single-neuron recording allowed investigators to see that while the vmPFC
signaled the "novelty" value of new bandits that appeared, it was the
pre-SMA that calculated which option had the best chance of yielding the
highest reward. And that signal was the basis on which participants made their
choices.
"Previous studies weren't giving us a complete picture and couldn't
draw the distinction we could here," said Tomas Aquino, PhD, a
postdoctoral fellow in the Rutishauser Lab and first author of the study.
"Since our single-neuron recordings are more sensitive than other, more
common methods, we could measure directly how preSMA neurons compute the value
of each option and determine participants' choices."
Both the vmPFC and the pre-SMA are part of the brain's frontal lobe, and
both have been implicated in planning and decision-making activities, but in
this study, for the first time, investigators were able to tease out their
separate roles. This new discovery joins a number of other recent findings
indicating that pre-SMA is critically important to human decision-making.
"The unique window into the human brain that is opened by these
single-neuron recordings continues to deepen our understanding of the precise
mechanisms behind cognitive processes," said Adam Mamelak, MD, director of
the Functional Neurosurgery Program at Cedars-Sinai and a co-author of the
study. "These continued gains in understanding are the key to finding new
treatments for complex neurological disorders and improving the lives of
patients."
This research is part of a long-standing collaboration between
Cedars-Sinai and co-senior author John O'Doherty, Fletcher Jones Professor of
Decision Neuroscience at the California Institute of Technology.
Funding: This work was supported by National Institutes of Health Grants R01DA040011, R01MH111425, R01MH110831, U01NS117839, and P50MH094258.