Evidence map›Paper›PMID 36038780›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2023

Adaptive control of synaptic plasticity integrates micro- and macroscopic network function.

Daniel N Scott, Michael J Frank

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2023. 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
4.0field-weighted citation impact, top 5% 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, 35 citations in OpenAlex.

  1. Trial
  2. Review
  3. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
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  5. Article
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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

2 authors at 1 institution in 1 country.

Daniel N ScottCognitive Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA. daniel_scott@brown.edu.
Michael J FrankCognitive Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA. michael_frank@brown.edu.ORCID http://orcid.org/0000-0001-8451-0523
Allen Institute for Brain Science · US

Funding

Cognitive Neurocomputational Task Reliability and Clinical Applications ConsortiumR01MH084840 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, Cameron S. Carter · 2008 to 2026
$8.5M
Training Program for Interactionist Cognitive Neuroscience (ICoN)T32MH115895 · NIMH · BROWN UNIVERSITY · PI MICHAEL J. FRANK, STEPHANIE Ruggiano JONES · 2019 to 2026
$1.8M
Brain Science Compute ClusterS10OD025181 · OD · BROWN UNIVERSITY · PI SANES, JEROME N · 2019 to 2019
$600k
Hemodynamic Assessment of Renal Artery DiseaseR41HL084840 · NHLBI · CREARE, LLC · PI BARRY, JAMES J · 2006 to 2006
$134k
NHLBI NIH HHS R41 HL084840NIH HHS S10 OD025181NIMH NIH HHS T32 MH115895
6 · The paper itself

Abstract

Synaptic plasticity configures interactions between neurons and is therefore likely to be a primary driver of behavioral learning and development. How this microscopic-macroscopic interaction occurs is poorly understood, as researchers frequently examine models within particular ranges of abstraction and scale. Computational neuroscience and machine learning models offer theoretically powerful analyses of plasticity in neural networks, but results are often siloed and only coarsely linked to biology. In this review, we examine connections between these areas, asking how network computations change as a function of diverse features of plasticity and vice versa. We review how plasticity can be controlled at synapses by calcium dynamics and neuromodulatory signals, the manifestation of these changes in networks, and their impacts in specialized circuits. We conclude that metaplasticity-defined broadly as the adaptive control of plasticity-forges connections across scales by governing what groups of synapses can and can't learn about, when, and to what ends. The metaplasticity we discuss acts by co-opting Hebbian mechanisms, shifting network properties, and routing activity within and across brain systems. Asking how these operations can go awry should also be useful for understanding pathology, which we address in the context of autism, schizophrenia and Parkinson's disease.

Indexed as

Neuronal PlasticitySynapsesCalciumModels, NeurologicalNeural Networks, ComputerNeuronsCalcium

Identifiers

PMID36038780
PMCPMC9700774
OpenAlexW4293434860

What OpenQuestion holds

Textmetadata
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.