The discovery

The researchers asked whether approaching a risky option and avoiding it are produced by one gradually accumulating decision signal or by competing signals in nearby medial and lateral parts of the human orbitofrontal cortex.

The research question and why it matters

The researchers asked whether approaching a risky option and avoiding it are produced by one gradually accumulating decision signal or by competing signals in nearby medial and lateral parts of the human orbitofrontal cortex.

Lesion, imaging and animal studies have long connected orbitofrontal cortex with value, punishment and flexible decision-making. Earlier human work often lacked the spatial and temporal precision to separate neighboring signals during a choice. This study adds direct intracranial recordings and a model comparison designed specifically to distinguish a single accumulator from competing approach and avoidance processes.

What researchers found

Activity near the medial orbital sulcus increased before participants accepted risk, while activity roughly two centimeters farther to the side increased before they avoided it. The two patterns opposed one another rather than behaving like a single signal slowly crossing a threshold. Taken together, the recordings could distinguish the upcoming choice about half a second before the participant acted. The public report did not provide a single out-of-sample accuracy estimate.

Results at a glance

Key results from the tested systems

6

participants

All already had intracranial electrodes for clinical evaluation.

~2 cm

regional separation

Approach- and avoidance-linked signals arose in nearby orbitofrontal locations.

~0.5 sec

lead time

Combined activity distinguished the eventual choice shortly before action.

Open data

research record

The authors deposited the supporting dataset in Dryad.

How the research worked

Participants navigated an immersive maze and repeatedly chose whether to enter hallways that contained different combinations of possible rewards and virtual bombs. Intracranial electrodes recorded local brain activity while the researchers aligned signals with the information shown, the eventual choice and the action. They compared medial and lateral orbitofrontal sites and fitted computational models that treated choice either as a single accumulating value or as competition between approach and avoidance processes.

Subjects or systemHuman
Research designIntracranial electrophysiology study with an immersive approach–avoidance task and computational choice modeling
Evidence baseSix people who already had intracranial electrodes implanted for clinical evaluation of epilepsy or psychiatric conditions; exact demographic details were not available in the public institutional and data records reviewed for this page

How to interpret this design

The result is conditional on the model structure, inputs, boundary conditions and scenarios chosen by the researchers. Agreement with known observations strengthens confidence, but a projection is not a direct observation of the future or the inaccessible past.

Because the research involved people, it speaks directly to the participants and outcomes measured. It may still apply differently to people outside the eligibility criteria, age range, clinical setting, geography or follow-up period.

What strengthens or limits the finding?

Electrodes measured human orbitofrontal activity directly at millisecond resolution, behavior was manipulated systematically and a public dataset supports inspection. The evidence comes from only six clinically selected participants, lacks a causal brain manipulation and has not been tested as a clinical predictor.

This is an early signal that deserves attention and replication, not a result that should yet carry the weight of mature, independently confirmed research.

Funding and disclosure context

The launch record does not yet reproduce a complete funding statement; readers should consult the paper's declaration. The complete conflict-of-interest declaration should be checked in the original publication rather than inferred. Funding or a disclosed relationship does not by itself invalidate a result, but it is relevant when judging design choices, analysis and the need for independent replication.

What it means

The result gives unusually direct human evidence that approach and avoidance can be represented by neighboring but functionally different orbitofrontal circuits. It may help researchers refine models of indecision, excessive risk-taking or excessive avoidance. It does not yet identify a treatment target, reveal a private thought or justify predicting an individual’s behavior outside the experiment.

Beyond the abstract

Deeper analysis

Direct recording is the unusual strength

Scalp recordings blur signals from deep frontal structures, while ordinary functional MRI changes over seconds. Implanted electrodes can separate nearby locations and follow activity on the timescale of the choice, although they are available only in small clinical samples.

Competition is different from a single score

A one-variable model assumes evidence for and against a choice is combined into one running total. Opposing local signals instead support a tug-of-war model in which approach and avoidance processes can vary partly independently.

Decoding is not mind reading

A classifier can exploit regularities in a tightly controlled task after seeing labeled examples. Real decisions have changing goals, incomplete information and personal context, so a half-second laboratory prediction should not be treated as access to intentions in ordinary life.

Clinical relevance remains a question

Disorders involving impulsivity or avoidance may recruit these circuits, but the present participants were not grouped or tested by diagnosis. Replication, causal work and symptom-specific studies are necessary before proposing intervention.

Keep the claim in proportion

What it does NOT prove

  • It does not show that the researchers could read a person’s thoughts or reliably predict decisions outside the maze task.
  • It does not establish that one region causes courage and the other causes fear or anxiety.
  • It does not demonstrate that the same signals are abnormal in addiction, obsessive-compulsive disorder, depression or any other diagnosis.
  • It does not show that stimulating either location would improve judgment or mental health.
  • It does not mean a choice was fixed or consciously inaccessible half a second before the button press.

Important limitations

  • Six participants provide rare high-resolution recordings but leave substantial uncertainty about individual variation and population generalizability.
  • Participants were undergoing clinical monitoring and are not a representative sample of healthy adults.
  • Electrode locations were determined by medical need, so coverage differed across people and did not sample every relevant brain circuit.
  • A virtual maze compresses risk into explicit rewards and bombs; financial, social, health and moral decisions involve different information and consequences.
  • The analysis linked naturally occurring activity with choices but did not manipulate the two regions to establish causation.
  • A prediction shortly before movement can contain decision, attention and motor-preparation information; separating those contributions requires further experiments.

How this fits with previous research

Lesion, imaging and animal studies have long connected orbitofrontal cortex with value, punishment and flexible decision-making. Earlier human work often lacked the spatial and temporal precision to separate neighboring signals during a choice. This study adds direct intracranial recordings and a model comparison designed specifically to distinguish a single accumulator from competing approach and avoidance processes.

Questions still unanswered

  • Do the opposing signals replicate in larger groups without neurological or psychiatric illness?
  • How stable are the signals across financial, social and health-related risks?
  • Do they predict behavior on new trials and new participants rather than only describe the recorded dataset?
  • Which other regions supply information to the medial and lateral orbitofrontal sites?
  • Would causal stimulation change a choice safely and specifically, or disrupt other forms of judgment?
Government verification and context

Relevant U.S. government resources

These resources serve different purposes. A registry can verify what researchers planned, a repository can locate government-funded work, and an agency page can supply authoritative background. None automatically proves that this paper's conclusion is correct.

Study verificationNational Library of Medicine / NIH

PubMed record search

Federal biomedical-index search keyed to this paper's DOI or title. It can confirm indexing and expose linked identifiers when a record is available; the journal paper remains the primary source.

Research registryNational Library of Medicine / NIH

ClinicalTrials.gov registry search

A trial registry describes the planned design, outcomes and enrollment. Registration improves transparency, but it does not establish that a treatment works or that published reporting is complete.

Authoritative contextNational Institutes of Health

Understanding clinical research

NIH background on how clinical research is designed, reviewed and interpreted. This is contextual guidance, not independent confirmation of the study's result.

Reuse note: Facts and discoveries are summarized here in original language. We link to government material instead of copying it wholesale, and we do not reuse agency logos, photographs, charts or third-party material unless the specific reuse rights are verified.

Sources and provenance

Two nearby brain regions sent opposing signals before people chose whether to take a risk

This review was developed from the source record below and, when separately available, the primary paper or government report. The summary and analysis on this page are original editorial writing.

Source organization
University of California, San Francisco
Source type
University
Authors
Clara Kwon Starkweather, Ethan H. Willbrand, Kristin K. Sellers, Patrick W. Hullett, Andrew D. Krystal, A. Moses Lee, Jon T. Willie, Peter Brunner, Ming Hsu, Edward F. Chang and Robert T. Knight
Journal / report
Nature Neuroscience
Publication date
September 15, 2026
DOI
10.1038/s41593-026-02444-4
PMID
Not available
Institution
University of California, San Francisco; University of California, Berkeley; Emory University; and collaborating clinical centers
Funding
National Institute of Neurological Disorders and Stroke award 5UE5NS070680-15 is identified in the public Dryad record; additional funding was not available in the accessible records reviewed for this page
Conflicts
Not available in the accessible institutional, article-metadata and data-repository records reviewed for this page
Open access
No
Reuse approach
Study design and results summarized independently from the UCSF institutional release, the peer-reviewed paper record and the authors’ public dataset; no source wording, photographs, figures, tables, game graphics or illustrations reproduced.
Open source organization page ↗Open primary paper or report ↗Read the Nature Neuroscience paperInspect the authors’ public Dryad datasetReview NIMH background on the human brain

AI-assisted editorial process: AI tools helped organize sources and draft this review. The linked research records—not AI output—are the evidence. Publication standards and corrections are publisher-directed. Read our AI transparency policy.