Set up of FMRI imaging. Credit: John Cairns
In A Nutshell
- Oxford researchers identified two brain circuits that work together to judge whether an outcome is within a person’s control.
- One circuit, linking the dorsomedial prefrontal cortex with the dorsal raphe nucleus, builds a running sense of how controllable a situation is.
- A second circuit, linking another prefrontal region with reward-related midbrain structures, uses that sense of control to decide how much to learn from an outcome.
- Disrupting the dorsomedial prefrontal cortex with magnetic stimulation slowed this process down, showing the region plays a causal role, not just a correlated one.
Most people have felt the frustration of trying harder, only to wonder if it’s making a difference. It turns out the brain asks that same question constantly, running a quiet background check on whether an outcome is actually in a person’s hands or just happening to them. Scientists have now traced that check to two specific brain circuits, a discovery that helps explain why some people bounce back from setbacks while others slide into feeling like nothing they do matters.
Researchers at the University of Oxford, publishing in the journal Neuron, wanted to know how the brain figures out whether it’s actually pulling the strings. They found a two-part system. One circuit builds up a sense of how much control a person has. A second takes that sense of control and uses it to decide how much attention the brain should pay to what just happened. In other words, the brain doesn’t treat every outcome the same. It first decides whether an outcome is even worth learning from.
A region called the dorsomedial prefrontal cortex, a strip of tissue near the top-middle of the forehead, turns out to be the main character in this story. It keeps tabs on how confident a person feels about a decision, whether a given outcome felt like it came from their own actions or from something outside their control, and their overall read on whether the situation is controllable at all.
A Simple Dot Game Revealed How the Brain Judges Control
To catch this process in action, the Oxford team put 22 healthy adults through a task inside a 7 Tesla MRI machine, a scanner considerably more powerful than the ones used in most hospitals. That extra horsepower let researchers see activity in small, deep brain structures that are notoriously hard to study with regular imaging.
Participants watched a cloud of orange and blue dots and guessed which color showed up more, even though they could only see part of the picture. Then came the twist: feedback sometimes came from an honest judge, and sometimes came from a coin flip dressed up as feedback. Participants weren’t told which was which, and had to figure it out by watching the pattern over time, the same way someone in real life figures out whether their wins and losses are actually their own doing.
One Brain Region Tracked Confidence, Blame, and Control All at Once
Participants got reasonably good at reading the room, adjusting their sense of how controllable things were as feedback played out. A familiar human habit showed up loud and clear: people took credit for their wins and blamed bad luck for their losses, especially when confident going in. A confident right answer felt like proof of skill. A confident wrong answer got waved off as bad luck.
Brain scans showed the dorsomedial prefrontal cortex lighting up for all three jobs at once: tracking confidence, deciding who deserved credit, and estimating how much control was on the table. No other region did all three. People whose dorsomedial prefrontal cortex responded most strongly to uncertainty tended to be the sharpest at figuring out who was really responsible for an outcome.
A structure buried deep in the brainstem, the dorsal raphe nucleus, tracked how much a person’s sense of control was shifting from one moment to the next, and it talked more actively with the dorsomedial prefrontal cortex exactly when that shift was happening. Together, these two regions make up the brain’s control-tracking circuit.
A second circuit picks up from there. Another patch of prefrontal cortex, paired with reward-related regions in the midbrain, decides how much weight to give an outcome once credit is assigned. When people believed a win was their own doing, this reward circuit lit up the way it normally does during learning. When they chalked the same outcome up to randomness, that signal flipped. The brain, it seems, quietly mutes lessons it doesn’t think are real.
Disrupting the Brain Changes What People Learn
To find out whether the dorsomedial prefrontal cortex was actually driving this process and not just along for the ride, researchers ran a second study on 20 participants using transcranial magnetic stimulation, a technique that uses magnetic pulses to briefly scramble activity in a targeted brain region. Afterward, participants got noticeably slower at updating their sense of how controllable a situation was, and worse at figuring out whether an outcome was their own doing.
Their basic performance on the dot game didn’t budge, and neither did their confidence. Only the higher-level judgment about control took a hit, which suggests the dorsomedial prefrontal cortex isn’t doing the task itself so much as deciding what the task even means.
Researchers suspect this circuitry could eventually help explain conditions like depression and anxiety, where people often misjudge how much control they actually have over their lives. That’s a reasonable direction for future research, though it’s worth noting this study only tested healthy adults, not people diagnosed with either condition.
Learning isn’t as simple as noticing what happened and adjusting. The brain asks a sharper question first: did this have anything to do with me? One circuit answers that question. A second decides how much the answer should matter. Together they turn raw experience into something a person can learn from, and when the system misfires, it may help explain why some mental health struggles feel so hard to shake.
Disclaimer: This article summarizes findings from a peer-reviewed scientific study and is intended for general informational purposes. It is not medical advice. Readers with questions about their own mental health or brain function should consult a qualified healthcare provider.
Paper Notes
Limitations
The study relied on self-reported confidence ratings as a key input to both the behavioral model and the brain imaging analyses. As the authors note, how confidence itself is generated from underlying thought processes is an important topic they did not fully address, and future research could integrate more detailed models of how confidence is formed with the current framework. Additionally, while brain imaging revealed activity in areas associated with dopamine-related signaling, the imaging method used cannot distinguish which specific type of brain cell is driving that activity. The sample sizes in both the imaging study (22 participants) and the brain stimulation study (20 participants) were relatively modest. The stimulation technique used to disrupt brain activity is also known to have effects that last approximately 50 minutes, meaning the task needed to be completed quickly to fall within that window.
Funding and Disclosures
According to the paper, the study was funded by the Biotechnology and Biological Sciences Research Council (BBSRC), grant number BB/W003392/1, and by the Wellcome Trust, grant number 221794/Z/20/Z. The authors declare no competing interests.
Publication Details
Authors: Yanhe Liu, Lisa Spiering, Shuyi Luo, Naomi Kingston, Jan Grohn, and Matthew F.S. Rushworth, all affiliated with the Department of Experimental Psychology, University of Oxford. Matthew F.S. Rushworth is also affiliated with Oxford Integrative Neuroimaging (OxCIN), Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford. | Paper Title: Two prefrontal-subcortical circuits estimate controllability and reflect its impact on learning | Journal: Neuron, Volume 115, January 20, 2027, Pages 1-15 | DOI: https://doi.org/10.1016/j.neuron.2026.07.029 | Published: 2026 by Elsevier Inc. under a CC BY open access license.







