Evidence map›Paper›PMID 41794031›Full record

ArticleNeuron2026

Regional specialization in prefrontal cortex manifests in the reliability of task progression codes.

Jennifer A Guidera, Daniel P Gramling, Alison E Comrie, Abhilasha Joshi, Shih-Yi Tseng, Eric L Denovellis, Clay N Smyth, Kyu Hyun Lee, Jenny Zhou, Paige Thompson and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jennifer A GuideraUCSF-UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA 94158, USA; Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: jenniferguidera@gmail.com.
Daniel P GramlingDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA.
Alison E ComrieDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA.
Abhilasha JoshiDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
Shih-Yi TsengDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
Eric L DenovellisDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
Clay N SmythUCSF-UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA 94158, USA.
Kyu Hyun LeeDepartments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
Jenny ZhouCenter for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Paige ThompsonCenter for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Jose HernandezCenter for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Allison YoritaCenter for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Razi HaqueCenter for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Christoph KirstKavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA.
Loren M FrankUCSF-UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA 94158, USA; Departments of Physiology and Psychiatry, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: loren.frank@ucsf.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Investigating neural substrates of generalization from past experienceF30MH126483 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUIDERA, JENNIFER ANN · 2021 to 2024
$150k
NIGMS NIH HHS T32 GM007618NIMH NIH HHS F30 MH126483
6 · The paper itself

Abstract

The brain has the remarkable ability to guide the performance of complex tasks. Distinct prefrontal cortical areas make specific contributions to this ability, with the orbitofrontal cortex (OFC) critical for processing information related to trial outcomes and the dorsomedial prefrontal cortex (dmPFC) critical for sustained effort and selecting the right action at the right time. Yet, in both areas, neural activity represents both outcome- and action-related quantities. How similar neural representations support different functions remains unclear. Here, we compared OFC and dmPFC activity in rats performing a spatial alternation task. We show that, in contrast to other task-related variables, task progression is represented in both areas, but with distinct patterns of across-trial reliability that match each area's previously documented functional specialization. Our results indicate that the engagement of reliable, task-phase-specific activity patterns differs across prefrontal regions in a manner well suited to engage different computations at different times.

Indexed as

Prefrontal CortexAnimalsMaleRatsRats, Long-Evansdecodingdynamicselectrophysiologymedial prefrontal cortexmultisite recordingorbitofrontal cortexratregional specializationspatial navigation

Identifiers

PMID41794031
PMCPMC13135353

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.