Evidence map›Paper›PMID 37066263›Full record

ArticlebioRxiv : the preprint server for biology2023

Structured memory representations develop at multiple time scales in hippocampal-cortical networks.

Arielle Tambini, Jacob Miller, Luke Ehlert, Anastasia Kiyonaga, Mark D'Esposito

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Arielle TambiniCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY.
Jacob MillerWu Tsai Institute, Department of Psychiatry, Yale University, New Haven, CT.
Luke EhlertDepartment of Neurobiology and Behavior, University of California. Irvine, CA.
Anastasia KiyonagaDepartment of Cognitive Science, University of California, San Diego, CA.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California, Berkeley, CA.

Funding

Working Memory and Prefrontal CortexR01MH063901 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI D'ESPOSITO, MARK · 2001 to 2022
$7.6M
Network properties and causal mechanisms of distractor-resistant working memoryF32MH111204 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI KIYONAGA, ANASTASIA · 2016 to 2019
$175k
The role of hippocampal processing and slow-wave activity in memory consolidationF32MH106280 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAMBINI, ARIELLE B · 2015 to 2017
$168k
NIMH NIH HHS F32 MH106280NIMH NIH HHS F32 MH111204NIMH NIH HHS R01 MH063901
6 · The paper itself

Abstract

Influential views of systems memory consolidation posit that the hippocampus rapidly forms representations of specific events, while neocortical networks extract regularities across events, forming the basis of schemas and semantic knowledge. Neocortical extraction of schematic memory representations is thought to occur on a protracted timescale of months, especially for information that is unrelated to prior knowledge. However, this theorized evolution of memory representations across extended timescales, and differences in the temporal dynamics of consolidation across brain regions, lack reliable empirical support. To examine the temporal dynamics of memory representations, we repeatedly exposed human participants to structured information via sequences of fractals, while undergoing longitudinal fMRI for three months. Sequence-specific activation patterns emerged in the hippocampus during the first 1-2 weeks of learning, followed one week later by high-level visual cortex, and subsequently the medial prefrontal and parietal cortices. Schematic, sequence-general representations emerged in the prefrontal cortex after 3 weeks of learning, followed by the medial temporal lobe and anterior temporal cortex. Moreover, hippocampal and most neocortical representations showed sustained rather than time-limited dynamics, suggesting that representations tend to persist across learning. These results show that specific hippocampal representations emerge early, followed by both specific and schematic representations at a gradient of timescales across hippocampal-cortical networks as learning unfolds. Thus, memory representations do not exist only in specific brain regions at a given point in time, but are simultaneously present at multiple levels of abstraction across hippocampal-cortical networks.

Identifiers

PMID37066263
PMCPMC10104124

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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.