Evidence map›Paper›PMID 39837322›Full record

ArticleNeuron2025

Closed-loop modulation of remote hippocampal representations with neurofeedback.

Michael E Coulter, Anna K Gillespie, Joshua Chu, Eric L Denovellis, Trevor Thai K Nguyen, Daniel F Liu, Katherine Wadhwani, Baibhav Sharma, Kevin Wang, Xinyi Deng and 3 more

Abstract read
In one paragraph

Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Drift-diffusion dynamics of hippocampal replay.PLoS computational biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Michael E CoulterKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
Anna K GillespieDepartments of Neurobiology and Biophysics and Lab Medicine and Pathology, University of Washington, Seattle, WA, USA.
Joshua ChuDepartment of Electrical and Computer Engineering and Neuroengineering Initiative, Rice University, Houston, TX, USA.
Eric L DenovellisKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
Trevor Thai K NguyenKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; SpikeGadgets Inc., San Francisco, CA, USA.
Daniel F LiuKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
Katherine WadhwaniKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
Baibhav SharmaKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
Kevin WangSpikeGadgets Inc., San Francisco, CA, USA.
Xinyi DengDepartment of Statistics, Beijing University of Technology, Beijing, China.
Uri T EdenDepartment of Mathematics and Statistics, Boston University, Boston, MA, USA.
Caleb KemereDepartment of Electrical and Computer Engineering and Neuroengineering Initiative, Rice University, Houston, TX, USA.
Loren M FrankKavli Institute and Department of Physiology, UCSF, San Francisco, CA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. Electronic address: loren.frank@ucsf.edu.

Funding

Real-time manipulations to understand and improve memory processesR00AG068425 · NIA · UNIVERSITY OF WASHINGTON · PI GILLESPIE, ANNA KATHLEEN · 2023 to 2025
$717k
Linking Hippocampal Replay Content to Learning and Decision-MakingF32MH123003 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COULTER, MICHAEL EDWARD · 2020 to 2022
$216k
Howard Hughes Medical InstituteNIA NIH HHS R00 AG068425NIMH NIH HHS F32 MH123003
6 · The paper itself

Abstract

Humans can remember specific remote events without acting on them and influence which memories are retrieved based on internal goals. However, animal models typically present sensory cues to trigger memory retrieval and then assess retrieval based on action. Thus, it is difficult to determine whether measured neural activity patterns relate to the cue(s), the memory, or the behavior. We therefore asked whether retrieval-related neural activity could be generated in animals without cues or a behavioral report. We focused on hippocampal "place cells," which primarily represent the animal's current location (local representations) but can also represent locations away from the animal (remote representations). We developed a neurofeedback system to reward expression of remote representations and found that rats could learn to generate specific spatial representations that often jumped directly to the experimenter-defined target location. Thus, animals can deliberately engage remote representations, enabling direct study of retrieval-related activity in the brain.

Indexed as

HippocampusNeurofeedbackPlace CellsAnimalsCuesMaleRatsRats, Long-EvansRewardbehaviorbrain-machine interfacedecodinghippocampusmemoryneurofeedbackplace cellsratretrievalspatial representation

Identifiers

PMID39837322
PMCPMC12067296

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.