Evidence map›Paper›PMID 39792551›Full record

ArticleCell reports2025

Transcriptional determinants of goal-directed learning and representational drift in the parahippocampal cortex.

Caroline A McLachlan, David G Lee, Osung Kwon, Kevin M Delgado, Nikita Manjrekar, Zizhen Yao, Hongkui Zeng, Bosiljka Tasic, Jerry L Chen

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

9 authors.

Caroline A McLachlanDepartment of Biology, Boston University, Boston, MA 02215, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA.
David G LeeCenter for Neurophotonics, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Osung KwonDepartment of Biology, Boston University, Boston, MA 02215, USA.
Kevin M DelgadoDepartment of Biology, Boston University, Boston, MA 02215, USA.
Nikita ManjrekarDepartment of Biology, Boston University, Boston, MA 02215, USA.
Zizhen YaoAllen Institute for Brain Science, Seattle, WA 98109, USA.
Hongkui ZengAllen Institute for Brain Science, Seattle, WA 98109, USA.
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA 98109, USA.
Jerry L ChenDepartment of Biology, Boston University, Boston, MA 02215, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Center for Systems Neuroscience, Boston University, Boston MA 02215, USA. Electronic address: jerry@chen-lab.org.

Funding

Cracking Genetically Defined Neocortical Circuits across Learning and BehaviorDP2NS111134 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHEN, JERRY L · 2018 to 2022
$2.4M
Cortical Interactions Underlying Sensory RepresentationsR01NS109965 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHEN, JERRY L · 2018 to 2022
$2.0M
Local and Long-Range Cortical Circuits Underlying Tactile PerceptionR01NS140230 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Jerry L Chen · 2025 to 2026
$1.1M
NIMH NIH HHS U01MH10907NINDS NIH HHS DP2 NS111134NINDS NIH HHS R01 NS109965NINDS NIH HHS R01 NS140230
6 · The paper itself

Abstract

Task learning involves learning associations between stimuli and outcomes and storing these relationships in memory. While this information can be reliably decoded from population activity, individual neurons encoding this representation can drift over time. The circuit or molecular mechanisms underlying this drift and its role in learning are unclear. We performed two-photon calcium imaging in the perirhinal cortex during task training. Using post hoc spatial transcriptomics, we measured immediate-early gene (IEG) expression and assigned monitored neurons to excitatory or inhibitory subtypes. We discovered an IEG-defined network spanning multiple subtypes that form stimulus-outcome associations. Targeted deletion of brain-derived neurotrophic factor in the perirhinal cortex disrupted IEG expression and impaired task learning. Representational drift slowed with prolonged training. Pre-existing representations were strengthened while stimulus-reward associations failed to form. Our findings reveal the cell types and molecules regulating long-term network stability that is permissive for task learning and memory allocation.

Indexed as

GoalsLearningParahippocampal GyrusTranscription, GeneticAnimalsBrain-Derived Neurotrophic FactorGenes, Immediate-EarlyMaleMemoryMiceMice, Inbred C57BLNeuronsBrain-Derived Neurotrophic Factorbehaviorcell typeCP: Neuroscienceimmediate-early genelearningmemoryperirhinal cortexplasticityspatial transcriptomicswhisker

Identifiers

PMID39792551
PMCPMC11920904

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.