Evidence map›Paper›PMID 33949299›Full record

ArticleJournal of the International Neuropsychological Society : JINS2022

Detecting the Inverted-U in fMRI Studies of Schizophrenia: A Comparison of Three Analysis Methods.

Michael L Thomas, John R Duffy, Neal Swerdlow, Gregory A Light, Gregory G Brown

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. International journal of molecular sciences · 2022
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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.

Michael L ThomasDepartment of Psychology, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0002-3026-7609
John R DuffyDepartment of Psychology, Colorado State University, Fort Collins, CO, USA.
Neal SwerdlowDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Gregory A LightDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Gregory G BrownDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-6430-9854

Funding

Neuroimaging and Neurocognitive Computerized Adaptive Testing in SchizophreniaK23MH102420 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THOMAS, MICHAEL L · 2014 to 2018
$815k
NIMH NIH HHS K23 MH102420
6 · The paper itself

Abstract

objectiveCognitive tasks are used to probe neuronal activity during functional magnetic resonance imaging (fMRI) to detect signs of aberrant cognitive functioning in patients diagnosed with schizophrenia (SZ). However, nonlinear (inverted-U-shaped) associations between neuronal activity and task difficulty can lead to misinterpretation of group differences between patients and healthy comparison subjects (HCs). In this paper, we evaluated a novel method for correcting these misinterpretations based on conditional performance analysis.

methodParticipants included 25 HCs and 27 SZs who performed a working memory (WM) task (N-back) with 5 load conditions while undergoing fMRI. Neuronal activity was regressed onto: 1) task load (i.e., parametric task levels), 2) marginal task performance (i.e., performance averaged over all load conditions), or 3) conditional task performance (i.e., performance within each load condition).

resultsIn most regions of interest, conditional performance analysis uniquely revealed inverted-U-shaped neuronal activity in both SZs and HCs. After accounting for conditional performance differences between groups, we observed few difference in both the pattern and level of neuronal activity between SZs and HCs within regions that are classically associated with WM functioning (e.g., posterior dorsolateral prefrontal and parietal association cortices). However, SZs did show aberrant activity within the anterior dorsolateral prefrontal cortex.

conclusionsInterpretations of differences in neuronal activity between groups, and of associations between neuronal activity and performance, should be considered within the context of task performance. Whether conditional performance-based differences reflect compensation, dedifferentiation, or other processes is not a question that is easily resolved by examining activation and performance data alone.

Indexed as

SchizophreniaHumansMagnetic Resonance ImagingMemory, Short-TermParietal LobePrefrontal CortexConfoundsNeuroimagingPsychometricsSchizophreniaWorking Memory

Identifiers

PMID33949299
PMCPMC8568731

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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.