What happens in the brain when we imagine the future?

In quiet moments, the brain likes to wander—to the events of tomorrow, an unpaid bill, an upcoming vacation.

Despite little external stimulation in these instances, a part of the brain called the default mode network (DMN) is hard at work. “These regions seem to be active when people aren’t asked to do anything in particular, as opposed to being asked to do something cognitively,” says Penn neuroscientist Joseph Kable.

Though the field has long suspected that this neural network plays a role in imagining the future, precisely how it works hadn’t been fully understood. Now, research from Kable and two former graduate students in his lab, Trishala Parthasarathi, associate director of scientific services at OrtleyBio, and Sangil Lee, a postdoc at University of California, Berkeley, sheds light on the matter.

In a paper published in the Journal of Neuroscience, the research team discovered that, when it comes to imagining the future, the default mode network actually splits into two complementary parts. One helps create and predict the imagined event, what the researchers call the “constructive” function. The other assesses whether that newly constructed event is positive or negative, what they call the “evaluative” function.

“It’s a neat division,” says Kable. “When psychologists talk about why humans have the ability to imagine the future, usually it’s so we can decide what to do, plan, make decisions. But a critical function is the evaluative function; it’s not just about coming up with a possibility but also evaluating it as good or bad.”

Building on previous work

The DMN itself includes the ventromedial prefrontal cortex, posterior cingulate cortex, and regions in the medial temporal and parietal lobes, such as the hippocampus. It’s aptly named, Kable says. “When you put people into a brain scanner and ask them to not do anything, to just sit there, these are the brain regions that seem to be active,” he says.

Previous research had revealed which areas make up the DMN and that constructing and evaluating imagined events activates different components. Kable wanted to test that idea further, to better pinpoint the implicated regions and what’s happening in each.

To do so, he and his team created a study in which 13 females and 11 males received prompts while in a functional magnetic resonance imaging (fMRI) machine. Participants had seven seconds to read one of 32 cues such as, “Imagine you’re sitting on a warm beach on a tropical island,” or “Imagine you win the lottery next year.” They then had 12 seconds to think about the scenario, followed by 14 seconds to rate vividness and valence.

“Vividness is the degree to which the image that comes to mind has a lot of details and how much those details subjectively pop as opposed to being vague,” Kable says. “Valence is an emotional evaluation. How positive or negative is the event? Is this something you want to have happen or not?”

Participants went through the process four times. Each time, the Penn researchers watched brain activity from the fMRI. The work confirmed two sub-networks at play.

“One network, which we’ll call the dorsal default mode network, was influenced by valence. In other words, it was more active for positive events than for negative events, but it was not influenced at all by vividness. It seems to be involved in the evaluative function,” Kable says.

The other sub-network, the ventral default mode network, was more active for highly vivid events than for events with no detail. “But it wasn’t influenced by valence,” he says. “It was equally active for both positive and negative events, showing that network really is involved in the construction piece of imagination.”

Next steps

According to Kable, the findings offer a first step toward understanding the basis of imaginative abilities. This research asked participants to evaluate the positivity or negativity of an imagined event, but more complex assessments—moving beyond the simple good-versus-bad dimension, for instance—might offer further clues about this neural process.

That kind of analysis will likely comprise future work for the Kable lab, which has already begun using these findings to parse why people don’t value future outcomes as much as immediate outcomes.

“One theory is that the future isn’t as vivid, isn’t as tangible and detailed and concrete as something right in front of your face,” he says. “We’ve started to use our identification of the sub-network involved in construction to ask the question, how active is this network when people are thinking about future outcomes compared to the same outcome in the present.”

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