Evidence map›Paper›PMID 36240768›Full record

ArticleNeuron2022

Long-term learning transforms prefrontal cortex representations during working memory.

Jacob A Miller, Arielle Tambini, Anastasia Kiyonaga, Mark D'Esposito

Open access · greenAbstract read
In one paragraph

Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 57 citations in OpenAlex.

  1. Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Prefrontal Mechanisms of Rule Learning.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Dynamics of working memory drift and information flow across the cortical hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Review
  9. Sensory reformatting for a working visual memory.Trends in cognitive sciences · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

4 authors at 4 institutions in 1 country.

Jacob A MillerWu Tsai Institute, Department of Psychiatry, Yale University, New Haven, CT, USA. Electronic address: j.a.miller@yale.edu.
Arielle TambiniCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
Anastasia KiyonagaDepartment of Cognitive Science, University of California, San Diego, CA, USA.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Department of Psychology, University of California, Berkeley, CA, USA.
Nathan Kline Institute for Psychiatric Research · USUniversity of California, Berkeley · USUniversity of California San Diego · USYale University · US

Funding

Working Memory and Prefrontal CortexR01MH063901 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI D'ESPOSITO, MARK · 2001 to 2022
$7.6M
Neuroscience Training Program at UC BerkeleyT32NS095939 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BATEUP, HELEN S. · 2016 to 2025
$6.3M
Network properties and causal mechanisms of distractor-resistant working memoryF32MH111204 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI KIYONAGA, ANASTASIA · 2016 to 2019
$175k
The role of hippocampal processing and slow-wave activity in memory consolidationF32MH106280 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAMBINI, ARIELLE B · 2015 to 2017
$168k
NIMH NIH HHS F32 MH106280NIMH NIH HHS F32 MH111204NIMH NIH HHS R01 MH063901NINDS NIH HHS T32 NS095939
6 · The paper itself

Abstract

The role of the lateral prefrontal cortex (lPFC) in working memory (WM) is debated. Non-human primate (NHP) electrophysiology shows that the lPFC stores WM representations, but human neuroimaging suggests that the lPFC controls WM content in sensory cortices. These accounts are confounded by differences in task training and stimulus exposure. We tested whether long-term training alters lPFC function by densely sampling WM activity using functional MRI. Over 3 months, participants trained on both a WM and serial reaction time (SRT) task, wherein fractal stimuli were embedded within sequences. WM performance improved for trained (but not novel) fractals and, neurally, delay activity increased in distributed lPFC voxels across learning. Item-level WM representations became detectable within lPFC patterns, and lPFC activity reflected sequence relationships from the SRT task. These findings demonstrate that human lPFC develops stimulus-selective responses with learning, and WM representations are shaped by long-term experience, which could reconcile competing accounts of WM functioning.

Indexed as

Memory, Short-TermPrefrontal CortexAnimalsCognitionHumansLearningReaction Timelearninglong-term memoryprefrontal cortexrepresentational similarityworking memory

Identifiers

PMID36240768
PMCPMC9768795
OpenAlexW4305013886

What OpenQuestion holds

Textmetadata
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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.