Evidence map›Paper›PMID 39476843›Full record

ArticleNeuron2024

Environmental complexity modulates information processing and the balance between decision-making systems.

Ugurcan Mugan, Samantha L Hoffman, A David Redish

Abstract read
In one paragraph

Article in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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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

3 authors.

Ugurcan MuganDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, USA.
Samantha L HoffmanUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
A David RedishDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, USA. Electronic address: redish@umn.edu.

Funding

Testing hybrid theories of action-selectionR01MH112688 · NIMH · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH · 2017 to 2026
$5.0M
Relating episodic memory and episodic future thinking in hippocampusR01MH080318 · NIMH · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2008 to 2020
$3.7M
NIMH NIH HHS R01 MH080318NIMH NIH HHS R01 MH112688
6 · The paper itself

Abstract

Behavior in naturalistic scenarios occurs in diverse environments. Adaptive strategies rely on multiple neural circuits and competing decision systems. However, past studies of rodent decision making have largely measured behavior in simple environments. To fill this gap, we recorded neural ensembles from hippocampus (HC), dorsolateral striatum (DLS), and dorsomedial prefrontal cortex (dmPFC) while rats foraged for food under changing rules in environments with varying topological complexity. Environmental complexity increased behavioral variability, lengthened HC nonlocal sequences, and modulated action caching. We found contrasting representations between DLS and HC, supporting a competition between decision systems. dmPFC activity was indicative of setting this balance, in particular predicting the extent of HC non-local coding. Inactivating mPFC impaired short-term behavioral adaptation and produced long-term deficits in balancing decision systems. Our findings reveal the dynamic nature of decision-making systems and how environmental complexity modulates their engagement with implications for behavior in naturalistic environments.

Indexed as

Decision MakingEnvironmentHippocampusPrefrontal CortexRats, Long-EvansAnimalsCorpus StriatumMaleRatsbehaviordecision makingdorsolateral striatumenvironmental complexityhabithippocampusmedial prefrontal cortexnaturalistic environmentsplace cellplanningtask bracketing

Identifiers

PMID39476843
PMCPMC11659045

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.