Evidence map›Paper›PMID 35961387›Full record

ArticleNeuropsychologia2022

Remembering the pattern: A longitudinal case study on statistical learning in spatial navigation and memory consolidation.

Kathryn N Graves, Brynn E Sherman, David Huberdeau, Eyiyemisi Damisah, Imran H Quraishi, Nicholas B Turk-Browne

Abstract read
In one paragraph

Article in Neuropsychologia, 2022. 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. Review
  3. 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

6 authors.

Kathryn N GravesDepartment of Psychology, Yale University, 2 Hillhouse Ave., New Haven, CT, 06520, USA. Electronic address: kathryn.graves@yale.edu.
Brynn E ShermanDepartment of Psychology, Yale University, 2 Hillhouse Ave., New Haven, CT, 06520, USA.
David HuberdeauDepartment of Psychology, Yale University, 2 Hillhouse Ave., New Haven, CT, 06520, USA.
Eyiyemisi DamisahDepartment of Neurosurgery, Yale University, 333 Cedar St., New Haven, CT, 06510, USA.
Imran H QuraishiDepartment of Neurology, Yale University, 800 Howard Ave., New Haven, CT, 06519, USA.
Nicholas B Turk-BrowneDepartment of Psychology, Yale University, 2 Hillhouse Ave., New Haven, CT, 06520, USA; Wu Tsai Institute, Yale University, 100 College St, New Haven, CT, 06510, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Modeling the Neural Basis of Episodic MemoryR01MH069456 · NIMH · PRINCETON UNIVERSITY · PI KENNETH A NORMAN, Nicholas Benjamin Turk-Browne · 2004 to 2026
$7.2M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH069456
6 · The paper itself

Abstract

Distinct brain systems are thought to support statistical learning over different timescales. Regularities encountered during online perceptual experience can be acquired rapidly by the hippocampus. Further processing during offline consolidation can establish these regularities gradually in cortical regions, including the medial prefrontal cortex (mPFC). These mechanisms of statistical learning may be critical during spatial navigation, for which knowledge of the structure of an environment can facilitate future behavior. Rapid acquisition and prolonged retention of regularities have been investigated in isolation, but how they interact in the context of spatial navigation is unknown. We had the rare opportunity to study the brain systems underlying both rapid and gradual timescales of statistical learning using intracranial electroencephalography (iEEG) longitudinally in the same patient over a period of three weeks. As hypothesized, spatial patterns were represented in the hippocampus but not mPFC for up to one week after statistical learning and then represented in the mPFC but not hippocampus two and three weeks after statistical learning. Taken together, these findings suggest that the hippocampus may contribute to the initial extraction of regularities prior to cortical consolidation.

Indexed as

Memory ConsolidationSpatial NavigationHumansLearningMental RecallPrefrontal CortexSpatial MemoryComplementary learning systemsHippocampusIntracranial EEGInverted encoding modelsMedial prefrontal cortexMemory integration

Identifiers

PMID35961387
PMCPMC9578695

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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.