Evidence map›Paper›PMID 25379242›Full record

ReviewBehavioral sciences (Basel, Switzerland)2013

Memory deficits in schizophrenia: a selective review of functional magnetic resonance imaging (FMRI) studies.

Nina V Kraguljac, Annusha Srivastava, Adrienne C Lahti

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Genetic and Epigenetic Regulation inInternational journal of molecular sciences · 2023
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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

3 authors.

Nina V KraguljacDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, 1530 3rd Ave S, Birmingham, AL 35294, USA.
Annusha SrivastavaDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, 1530 3rd Ave S, Birmingham, AL 35294, USA.
Adrienne C LahtiDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, 1530 3rd Ave S, Birmingham, AL 35294, USA.

Funding

Treatment response in schizophrenia: bridging imaging and postmortem studiesR01MH081014 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAHTI, ADRIENNE C · 2009 to 2013
$1.8M
NIMH NIH HHS R01 MH081014
6 · The paper itself

Abstract

Schizophrenia is a complex chronic mental illness that is characterized by positive, negative and cognitive symptoms. Cognitive deficits are most predictive of long-term outcomes, with abnormalities in memory being the most robust finding. The advent of functional magnetic resonance imaging (fMRI) has allowed exploring neural correlates of memory deficits in vivo. In this article, we will give a selective review of fMRI studies probing brain regions and functional networks that are thought to be related to abnormal memory performance in two memory systems prominently affected in schizophrenia; working memory and episodic memory. We revisit the classic "hypofrontality" hypothesis of working memory deficits and explore evidence for frontotemporal dysconnectivity underlying episodic memory abnormalities. We conclude that fMRI studies of memory deficits in schizophrenia are far from universal. However, the current literature does suggest that alterations are not isolated to a few brain regions, but are characterized by abnormalities within large-scale brain networks.

Indexed as

dorsolateral prefrontal cortexfunctional magnetic resonance imaging (fMRI)hippocampusmedial temporal lobememoryschizophrenia

Identifiers

PMID25379242
PMCPMC4217593

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.