Evidence map›Paper›PMID 27617637›Full record

ArticleNeuropsychology2016

Engagement with the auditory processing system during targeted auditory cognitive training mediates changes in cognitive outcomes in individuals with schizophrenia.

Bruno Biagianti, Melissa Fisher, Torsten B Neilands, Rachel Loewy, Sophia Vinogradov

Abstract read
In one paragraph

Article in Neuropsychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Relationships Between Auditory Processing and Cognitive Abilities in Adults: A Systematic Review.Journal of speech, language, and hearing research : JSLHR · 2024
    Pooled it
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  6. Memantine effects on auditory discrimination and training in schizophrenia patients.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
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  10. Efference copy/corollary discharge function and targeted cognitive training in patients with schizophrenia.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2019
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  14. Neurophysiologic measures of target engagement predict response to auditory-based cognitive training in treatment refractory schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
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  18. Response to Targeted Cognitive Training Correlates with Change in Thalamic Volume in a Randomized Trial for Early Schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
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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

5 authors.

Bruno BiagiantiDepartment of Psychiatry, University of California at San Francisco.
Melissa FisherDepartment of Psychiatry, University of California at San Francisco.
Torsten B NeilandsDepartment of Medicine, University of California at San Francisco.
Rachel LoewyDepartment of Psychiatry, University of California at San Francisco.
Sophia VinogradovDepartment of Psychiatry, University of California at San Francisco.

Funding

Cognitive Remediation of Schizophrenia in a Community Mental Health SettingR01MH068725 · NIMH · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI VINOGRADOV, SOPHIA · 2004 to 2014
$4.9M
Optimizing Cognitive Remediation Outcomes in SchizophreniaR01MH082818 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI VINOGRADOV, SOPHIA · 2009 to 2013
$2.9M
NIMH NIH HHS R01 MH068725NIMH NIH HHS R01 MH082818
6 · The paper itself

Abstract

backgroundIndividuals with schizophrenia who engage in targeted cognitive training (TCT) of the auditory system show generalized cognitive improvements. The high degree of variability in cognitive gains maybe due to individual differences in the level of engagement of the underlying neural system target.

method131 individuals with schizophrenia underwent 40 hours of TCT. We identified target engagement of auditory system processing efficiency by modeling subject-specific trajectories of auditory processing speed (APS) over time. Lowess analysis, mixed models repeated measures analysis, and latent growth curve modeling were used to examine whether APS trajectories were moderated by age and illness duration, and mediated improvements in cognitive outcome measures.

resultsWe observed significant improvements in APS from baseline to 20 hours of training (initial change), followed by a flat APS trajectory (plateau) at subsequent time-points. Participants showed interindividual variability in the steepness of the initial APS change and in the APS plateau achieved and sustained between 20 and 40 hours. We found that participants who achieved the fastest APS plateau, showed the greatest transfer effects to untrained cognitive domains.

conclusionsThere is a significant association between an individual's ability to generate and sustain auditory processing efficiency and their degree of cognitive improvement after TCT, independent of baseline neurocognition. APS plateau may therefore represent a behavioral measure of target engagement mediating treatment response. Future studies should examine the optimal plateau of auditory processing efficiency required to induce significant cognitive improvements, in the context of interindividual differences in neural plasticity and sensory system efficiency that characterize schizophrenia. (PsycINFO Database Record

Indexed as

AdultAuditory PerceptionBiomedical ResearchCognition DisordersFemaleHumansMaleMemory, Short-TermMiddle AgedNeuronal PlasticityRandomized Controlled Trials as TopicSchizophreniaSchizophrenic Psychology

Identifiers

PMID27617637
PMCPMC5088059

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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.