Evidence map›Paper›PMID 28848408›Full record

ArticleFrontiers in behavioral neuroscience2017

Networks of VTA Neurons Encode Real-Time Information about Uncertain Numbers of Actions Executed to Earn a Reward.

Jesse Wood, Nicholas W Simon, F Spencer Koerner, Robert E Kass, Bita Moghaddam

Open access · goldAbstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Jesse WoodDepartment of Psychiatry, University of PittsburghPittsburgh, PA, United States.
Nicholas W SimonDepartment of Psychology, University of MemphisMemphis, TN, United States.
F Spencer KoernerDepartment of Statistics, Carnegie Mellon UniversityPittsburgh, PA, United States.
Robert E KassDepartment of Statistics, Carnegie Mellon UniversityPittsburgh, PA, United States.
Bita MoghaddamDepartment of Behavioral Neuroscience, Oregon Health and Sciences UniversityPortland, OR, United States.
University of Pittsburgh · USCarnegie Mellon University · USOregon Health & Science University · USUniversity of Memphis · US

Funding

Diversity supplement to Analysis of Nonstationary Point Process DataR01MH064537 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI KASS, ROBERT E · 2001 to 2024
$7.2M
Training for Transformative Discovery in PsychiatryT32MH016804 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2025
$6.2M
NIMH NIH HHS R01 MH064537NIMH NIH HHS T32 MH016804
6 · The paper itself

Abstract

Multiple and unpredictable numbers of actions are often required to achieve a goal. In order to organize behavior and allocate effort so that optimal behavioral policies can be selected, it is necessary to continually monitor ongoing actions. Real-time processing of information related to actions and outcomes is typically assigned to the prefrontal cortex and basal ganglia, but also depends on midbrain regions, especially the ventral tegmental area (VTA). We were interested in how individual VTA neurons, as well as networks within the VTA, encode salient events when an unpredictable number of serial actions are required to obtain a reward. We recorded from ensembles of putative dopamine and non-dopamine neurons in the VTA as animals performed multiple cued trials in a recording session where, in each trial, serial actions were randomly rewarded. While averaging population activity did not reveal a response pattern, we observed that different neurons were selectively tuned to low, medium, or high numbered actions in a trial. This preferential tuning of putative dopamine and non-dopamine VTA neurons to different subsets of actions in a trial allowed information about binned action number to be decoded from the ensemble activity. At the network level, tuning curve similarity was positively associated with action-evoked noise correlations, suggesting that action number selectivity reflects functional connectivity within these networks. Analysis of phasic responses to cue and reward revealed that the requirement to execute multiple and uncertain numbers of actions weakens both cue-evoked responses and cue-reward response correlation. The functional connectivity and ensemble coding scheme that we observe here may allow VTA neurons to cooperatively provide a real-time account of ongoing behavior. These computations may be critical to cognitive and motivational functions that have long been associated with VTA dopamine neurons.

Indexed as

action sequenceassembliesdopamineensemble codinginstrumental conditioningserial actionsventral tegmental areaVTA

Identifiers

PMID28848408
PMCPMC5550723
OpenAlexW2742567750

What OpenQuestion holds

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LicenceCC BY
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.