Evidence map›Paper›PMID 28790898›Full record

ArticleFrontiers in systems neuroscience2017

Differences between Dorsal and Ventral Striatum in the Sensitivity of Tonically Active Neurons to Rewarding Events.

Kevin Marche, Anne-Caroline Martel, Paul Apicella

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. A mismatch between striatal cholinergic pauses and dopaminergic reward prediction errors.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Review
  11. Beta Oscillations in Monkey Striatum Encode Reward Prediction Error Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. The Brain's Reward System in Health and Disease.Advances in experimental medicine and biology · 2021
    Article
  19. Article
  20. Temporal Coding of Reward Value in Monkey Ventral Striatal Tonically Active Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
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.

Kevin MarcheInstitut de Neurosciences de la Timone UMR 7289, Aix Marseille UniversitéMarseille, France.
Anne-Caroline MartelInstitut de Neurosciences de la Timone UMR 7289, Aix Marseille UniversitéMarseille, France.
Paul ApicellaInstitut de Neurosciences de la Timone UMR 7289, Aix Marseille UniversitéMarseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the striatum, cholinergic interneurons, electrophysiologically identified as tonically active neurons (TANs), represent a relatively homogeneous group in terms of their functional properties. They display typical pause in tonic firing in response to rewarding events which are of crucial importance for reinforcement learning. These responses are uniformly distributed throughout the dorsal striatum (i.e., motor and associative striatum), but it is unknown, at least in monkeys, whether differences in the modulation of TAN activity exist in the ventral striatum (i.e., limbic striatum), a region specialized for processing of motivational information. To address this issue, we examined the activity of dorsal and ventral TANs in two monkeys trained on a Pavlovian conditioning task in which a visual stimulus preceded the delivery of liquid reward by a fixed time interval. We found that the proportion of TANs responding to the stimulus predictive of reward did not vary significantly across regions (58%-80%), whereas the fraction of TANs responding to reward was higher in the limbic striatum (100%) compared to the motor (65%) and associative striatum (52%). By examining TAN modulation at the level of both the population and the individual neurons, we showed that the duration of pause responses to the stimulus and reward was longer in the ventral than in the dorsal striatal regions. Also, the magnitude of the pause was greater in ventral than dorsal striatum for the stimulus predictive of reward but not for the reward itself. We found similar region-specific differences in pause response duration to the stimulus when the timing of reward was less predictable (fixed replaced by variable time interval). Regional variations in the duration and magnitude of the pause response were transferred from the stimulus to reward when reward was delivered in the absence of any predictive stimulus. It therefore appears that ventral TANs exhibit stronger responses to rewarding stimuli, compared to dorsal TANs. The high proportion of responsive neurons, combined with particular response features, support the notion that the ventral TAN system can be driven by specific synaptic inputs arising from afferent sources distinct from those targeting the dorsal TAN system.

Indexed as

basal ganglialearningmotivationpredictionprimate

Identifiers

PMID28790898
PMCPMC5522860

What OpenQuestion holds

Textmetadata
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.