Evidence map›Paper›PMID 32375031›Full record

ArticleCell reports2020

Replay of Learned Neural Firing Sequences during Rest in Human Motor Cortex.

Jean-Baptiste Eichenlaub, Beata Jarosiewicz, Jad Saab, Brian Franco, Jessica Kelemen, Eric Halgren, Leigh R Hochberg, Sydney S Cash

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00912041 (BrainGate2), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.9field-weighted citation impact, top 4% 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.

NCT00912041 narecruitingnot on this map

BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With Tetraplegia

TypeinterventionalSponsorLeigh R. Hochberg, MD, PhD.Ran2009 to 2038Enrolled27ConditionsTetraplegia, Spinal Cord Injuries, Amyotrophic Lateral Sclerosis, Brain Stem InfarctionsArmsPlacement of the BrainGate2 sensor(s) into the motor-related cortex
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Review
  3. Controlling Spatio-Temporal Sequences of Neural Activity by Local Synaptic Changes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Tuned Compositional Feature Replays for Efficient Stream Learning.IEEE transactions on neural networks and learning systems · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Rest to Promote Learning: A Brain Default Mode Network Perspective.Behavioral sciences (Basel, Switzerland) · 2024
    Review
  15. High mirror symmetry in mouse exploratory behavior.Frontiers in behavioral neuroscience · 2024
    Article
  16. Article
  17. How our understanding of memory replay evolves.Journal of neurophysiology · 2023
    Review
  18. Article
  19. Article
  20. Article
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

8 authors at 6 institutions in 1 country.

Jean-Baptiste EichenlaubCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA. Electronic address: jb.eichenlaub@gmail.com.
Beata JarosiewiczDepartment of Neuroscience, Brown University, Providence, RI, USA; Carney Institute for Brain Science, Brown University, Providence, RI, USA; VA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI, USA. Electronic address: jarosiew@gmail.com.
Jad SaabCarney Institute for Brain Science, Brown University, Providence, RI, USA; VA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI, USA; School of Engineering, Brown University, Providence, RI, USA.
Brian FrancoCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Jessica KelemenCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Eric HalgrenDepartments of Radiology and Neuroscience, Kavli Institute for Brain and Mind, University of California, San Diego, CA, USA.
Leigh R HochbergCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Carney Institute for Brain Science, Brown University, Providence, RI, USA; VA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI, USA; School of Engineering, Brown University, Providence, RI, USA.
Sydney S CashCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA.
Center for Neuro-Oncology · USProvidence VA Medical Center · USAllen Institute for Brain Science · USHarvard University · USMassachusetts General Hospital · USUniversity of California, San Diego · US

Funding

Restoring Communication with an Intracortical Neural Interface SystemR01DC009899 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R · 2009 to 2017
$7.0M
Understanding the Neural Basis of Volitional State through Continuous Recordings in HumansU01NS098968 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2016 to 2018
$4.7M
High-Bandwidth Wireless Interfaces for Continuous Human Intracortical RecordingUH2NS095548 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R, NURMIKKO, ARTO · 2015 to 2019
$3.7M
VA RR&D Center for Neurorestoration and NeurotechnologyI50RX002864 · VA · PROVIDENCE VA MEDICAL CENTER · PI BENJAMIN D GREENBERG, LEIGH R HOCHBERG · 2018 to 2026
–
NIDCD NIH HHS R01 DC009899NINDS NIH HHS U01 NS098968NINDS NIH HHS UH2 NS095548RRD VA B6453-RRRD VA I01 RX002295RRD VA I50 RX002864
6 · The paper itself

Abstract

The offline "replay" of neural firing patterns underlying waking experience, previously observed in non-human animals, is thought to be a mechanism for memory consolidation. Here, we test for replay in the human brain by recording spiking activity from the motor cortex of two participants who had intracortical microelectrode arrays placed chronically as part of a brain-computer interface pilot clinical trial. Participants took a nap before and after playing a neurally controlled sequence-copying game that consists of many repetitions of one "repeated" sequence sparsely interleaved with varying "control" sequences. Both participants performed repeated sequences more accurately than control sequences, consistent with learning. We compare the firing rate patterns that caused the cursor movements when performing each sequence to firing rate patterns throughout both rest periods. Correlations with repeated sequences increase more from pre- to post-task rest than do correlations with control sequences, providing direct evidence of learning-related replay in the human brain.

Indexed as

ElectroencephalographyHumansLearningMemory ConsolidationMotor CortexNeuronsRestSleepWakefulnessbrain-computer interfaceconsolidationhumanlearningmemorymicroelectrode arraymotor cortexreactivationreplaysleep

Identifiers

PMID32375031
PMCPMC7337233
OpenAlexW3022686843

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.