Evidence map›Paper›PMID 30420732›Full record

ArticleNature neuroscience2018

Neuronal stability in medial frontal cortex sets individual variability in decision-making.

Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni, Tomoki Fukai

Abstract read
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In one paragraph

Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tomoki KurikawaLaboratory for Neural Coding and Brain Computing, RIKEN Center for Brain Science, Wako, Japan.
Tatsuya HagaLaboratory for Neural Coding and Brain Computing, RIKEN Center for Brain Science, Wako, Japan.ORCID http://orcid.org/0000-0003-3145-709X
Takashi HandaDepartment of Behavior and Brain Organization, Research Center Caesar, Bonn, Germany.ORCID http://orcid.org/0000-0003-3956-8077
Rie HarukuniLaboratory for Neural Coding and Brain Computing, RIKEN Center for Brain Science, Wako, Japan.
Tomoki FukaiLaboratory for Neural Coding and Brain Computing, RIKEN Center for Brain Science, Wako, Japan. tfukai@riken.jp.ORCID http://orcid.org/0000-0001-6977-5638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the brain, decision making is instantiated in dedicated neural circuits. However, there is considerable individual variability in decision-making behavior, particularly under uncertainty. The origins of decision variability within these conserved neural circuits are not known. Here we demonstrate in the rat medial frontal cortex (MFC) that individual variability is a consequence of altered stability in neuronal populations. In a sensory-guided choice task, rats trained on familiar stimuli were exposed to unfamiliar stimuli, resulting in variable choice responses across individuals. We created a recurrent network model to examine the source of variability in MFC neurons, and found that the landscape of neural population trajectories explained choice variability across different unfamiliar stimuli. We experimentally confirmed model predictions showing that trial-by-trial variability in neuronal activity indexes the landscape and predicts individual variation. These results show that neural stability is a critical component of the MFC neural dynamics that underpins individual variation in decision-making.

Indexed as

AnimalsBehavior, AnimalChoice BehaviorCuesDecision MakingFrontal LobeMaleModels, NeurologicalNerve NetNeuronsRats

Identifiers

What OpenQuestion holds

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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.