Evidence map›Paper›PMID 39026741›Full record

ArticlebioRxiv : the preprint server for biology2025

Methamphetamine-induced adaptation of learning rate dynamics depend on baseline performance.

Hans Kirschner, Hanna M Molla, Matthew R Nassar, Harriet de Wit, Markus Ullsperger

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hans KirschnerInstitute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.ORCID 0000-0001-9747-1746
Hanna M MollaDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.
Matthew R NassarRobert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence RI 02912-1821, USA.
Harriet de WitDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.
Markus UllspergerInstitute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.

Funding

Determinants of Drug Preference in Humans--Administrative SupplementR01DA002812 · NIDA · UNIVERSITY OF CHICAGO · PI DE WIT, HARRIET · 1985 to 2024
$10.6M
CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
NIDA NIH HHS R01 DA002812NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

The ability to calibrate learning according to new information is a fundamental component of an organism's ability to adapt to changing conditions. Yet, the exact neural mechanisms guiding dynamic learning rate adjustments remain unclear. Catecholamines appear to play a critical role in adjusting the degree to which we use new information over time, but individuals vary widely in the manner in which they adjust to changes. Here, we studied the effects of a low dose of methamphetamine (MA), and individual differences in these effects, on probabilistic reversal learning dynamics in a within-subject, double-blind, randomized design. Participants first completed a reversal learning task during a drug-free baseline session to provide a measure of baseline performance. Then they completed the task during two sessions, one with MA (20 mg oral) and one with placebo (PL). First, we showed that, relative to PL, MA modulates the ability to dynamically adjust learning from prediction errors. Second, this effect was more pronounced in participants who performed moderately low at baseline. These results present novel evidence for the involvement of catecholaminergic transmission on learning flexibility and highlights that baseline performance modulates the effect of the drug.

Identifiers

PMID39026741
PMCPMC11257491

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.