Evidence map›Paper›PMID 28091572›Full record

ArticleScientific reports2017

A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque.

S A Hassani, M Oemisch, M Balcarras, S Westendorff, S Ardid, M A van der Meer, P Tiesinga, T Womelsdorf

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
23.5field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 369 citations in OpenAlex.

  1. Article
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  4. MProceedings of the National Academy of Sciences of the United States of America · 2023
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  10. Fast spiking interneuron activity in primate striatum tracks learning of attention cues.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

8 authors at 4 institutions in 3 countries.

S A HassaniDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada.
M OemischDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada.
M BalcarrasDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada.
S WestendorffDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada.
S ArdidDepartment of Mathematics, Boston University, Boston, MA 02215, USA.
M A van der MeerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.
P TiesingaDepartment of Neuroinformatics, Donders Centre for Neuroscience, Radboud University Nijmegen, Nijmegen, AJ 6525, The Netherlands.
T WomelsdorfDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada.
York University · CABoston University · USDartmouth College · USRadboud University Nijmegen · NL

Funding

CIHR
6 · The paper itself

Abstract

Noradrenaline is believed to support cognitive flexibility through the alpha 2A noradrenergic receptor (a2A-NAR) acting in prefrontal cortex. Enhanced flexibility has been inferred from improved working memory with the a2A-NA agonist Guanfacine. But it has been unclear whether Guanfacine improves specific attention and learning mechanisms beyond working memory, and whether the drug effects can be formalized computationally to allow single subject predictions. We tested and confirmed these suggestions in a case study with a healthy nonhuman primate performing a feature-based reversal learning task evaluating performance using Bayesian and Reinforcement learning models. In an initial dose-testing phase we found a Guanfacine dose that increased performance accuracy, decreased distractibility and improved learning. In a second experimental phase using only that dose we examined the faster feature-based reversal learning with Guanfacine with single-subject computational modeling. Parameter estimation suggested that improved learning is not accounted for by varying a single reinforcement learning mechanism, but by changing the set of parameter values to higher learning rates and stronger suppression of non-chosen over chosen feature information. These findings provide an important starting point for developing nonhuman primate models to discern the synaptic mechanisms of attention and learning functions within the context of a computational neuropsychiatry framework.

Indexed as

PsychiatryReinforcement, PsychologyAdrenergic alpha-2 Receptor AgonistsAnimalsCognitionGuanfacineLearningMacaca mulattaModels, PsychologicalTask Performance and AnalysisAdrenergic alpha-2 Receptor AgonistsGuanfacine

Identifiers

PMID28091572
PMCPMC5238510
OpenAlexW2578577905

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.