Evidence map›Paper›PMID 35618258›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2023

Memory-Based Prediction Deficits and Dorsolateral Prefrontal Dysfunction in Schizophrenia.

Ashley B Williams, Xiaonan Liu, Frank Hsieh, Mitzi Hurtado, Tyler Lesh, Tara Niendam, Cameron Carter, Charan Ranganath, J Daniel Ragland

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A role for the fornix in temporal sequence memory.The European journal of neuroscience · 2023
    Article
  2. 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

9 authors.

Ashley B WilliamsCenter for Neuroscience, University of California, Davis, Davis, California.
Xiaonan LiuCenter for Neuroscience, University of California, Davis, Davis, California; Departments of Psychology, University of California, Davis, Davis, California.
Frank HsiehDepartment of Psychology, University of California, Berkeley, Berkeley, California; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California.
Mitzi HurtadoPsychiatry and Behavioral Sciences, University of California, Davis, Davis, California.
Tyler LeshPsychiatry and Behavioral Sciences, University of California, Davis, Davis, California.
Tara NiendamPsychiatry and Behavioral Sciences, University of California, Davis, Davis, California.
Cameron CarterDepartments of Psychology, University of California, Davis, Davis, California; Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California.
Charan RanganathCenter for Neuroscience, University of California, Davis, Davis, California; Departments of Psychology, University of California, Davis, Davis, California.
J Daniel RaglandPsychiatry and Behavioral Sciences, University of California, Davis, Davis, California. Electronic address: jdragland@ucdavis.edu.

Funding

Learning, Memory, and Plasticity (LaMP) Training ProgramT32MH112507 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Karen Zito · 2017 to 2026
$2.4M
Neural Mechanisms of Memory Dysfunction in SchizophreniaR01MH105411 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI RAGLAND, JOHN D, RANGANATH, CHARAN · 2015 to 2018
$1.9M
NIMH NIH HHS R01 MH105411NIMH NIH HHS T32 MH112507
6 · The paper itself

Abstract

backgroundTheories suggest that people with schizophrenia (SZ) have problems generating predictions based on past experiences. The dorsolateral prefrontal cortex (DLPFC) and hippocampus participate in memory-based prediction. We used functional magnetic resonance imaging to investigate DLPFC and hippocampal function in healthy control (HC) subjects and people with SZ during memory-based prediction.

methodsPrior to scanning, HC subjects (n = 54) and people with SZ (n = 31) learned 5-object sequences presented in fixed or random orders on each repetition. During scanning, participants made semantic decisions (e.g., "Can this object fit in a shoebox?") on a continuous stream of objects from fixed and random sequences. Sequence prediction was demonstrated by faster semantic decisions for objects in fixed versus random sequences because memory could be used to anticipate and more efficiently process semantic information about upcoming objects in fixed sequences. Representational similarity analyses were used to determine how each sequence type was represented in the posterior hippocampus and DLPFC.

resultsSequence predictions were reduced in individuals with SZ relative to HC subjects. Representational similarity analyses revealed stronger memory-based predictions in the DLPFC of HC subjects than people with SZ, and DLPFC representations correlated with more successful predictions in HC subjects only. For the posterior hippocampus, voxel pattern similarity was increased for fixed versus random sequences in HC subjects only, but no significant between-group differences or correlations with prediction success were observed.

conclusionsIndividuals with SZ are capable of learning temporal sequences; however, they are impaired using memory to predict upcoming events as efficiently as HC subjects. This deficit appears related to disrupted neural representation of sequence information in the DLPFC.

Indexed as

SchizophreniaHippocampusHumansMemory DisordersPrefrontal CortexEpisodic memoryHippocampusPredictionPrefrontal cortexRelational memorySchizophrenia

Identifiers

PMID35618258
PMCPMC10036169

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.