Evidence map›Paper›PMID 34518520›Full record

ArticleNature communications2021

Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions.

Sebastian Michelmann, Amy R Price, Bobbi Aubrey, Camilla K Strauss, Werner K Doyle, Daniel Friedman, Patricia C Dugan, Orrin Devinsky, Sasha Devore, Adeen Flinker and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  15. Neural Activity Differentiates Novel and Learned Event Boundaries.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

12 authors.

Sebastian MichelmannDepartment of Psychology, Princeton University, Princeton, NJ, USA. s.michelmann@princeton.edu.ORCID 0000-0002-5717-586X
Amy R PriceDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-3560-6294
Bobbi AubreyDepartment of Psychology, Princeton University, Princeton, NJ, USA.
Camilla K StraussDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-7119-3810
Werner K DoyleSchool of Medicine, New York University, New York, NY, USA.
Daniel FriedmanSchool of Medicine, New York University, New York, NY, USA.ORCID 0000-0003-1068-1797
Patricia C DuganSchool of Medicine, New York University, New York, NY, USA.
Orrin DevinskySchool of Medicine, New York University, New York, NY, USA.ORCID 0000-0003-0044-4632
Sasha DevoreSchool of Medicine, New York University, New York, NY, USA.
Adeen FlinkerSchool of Medicine, New York University, New York, NY, USA.
Uri HassonDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-3599-7168
Kenneth A NormanDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-5887-9682

Funding

Neural dynamics supporting integration and recall over long timescales during natural continuous inputR01MH112357 · NIMH · PRINCETON UNIVERSITY · PI HASSON, URI, NORMAN, KENNETH A · 2017 to 2021
$2.5M
NIMH NIH HHS R01 MH112357
6 · The paper itself

Abstract

Humans form lasting memories of stimuli that were only encountered once. This naturally occurs when listening to a story, however it remains unclear how and when memories are stored and retrieved during story-listening. Here, we first confirm in behavioral experiments that participants can learn about the structure of a story after a single exposure and are able to recall upcoming words when the story is presented again. We then track mnemonic information in high frequency activity (70-200 Hz) as patients undergoing electrocorticographic recordings listen twice to the same story. We demonstrate predictive recall of upcoming information through neural responses in auditory processing regions. This neural measure correlates with behavioral measures of event segmentation and learning. Event boundaries are linked to information flow from cortex to hippocampus. When listening for a second time, information flow from hippocampus to cortex precedes moments of predictive recall. These results provide insight on a fine-grained temporal scale into how episodic memory encoding and retrieval work under naturalistic conditions.

Indexed as

AdolescentAdultAlgorithmsBrain MappingCerebral CortexElectrocorticographyFemaleHippocampusHumansLearningMaleMental RecallMiddle AgedModels, NeurologicalYoung Adult

Identifiers

PMID34518520
PMCPMC8438040

What OpenQuestion holds

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Registered trials

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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.