Evidence map›Paper›PMID 33622437›Full record

ArticlePsychological medicine2022

Antisaccade error rates and gap effects in psychosis syndromes from bipolar-schizophrenia network for intermediate phenotypes 2 (B-SNIP2).

Ling-Yu Huang, Brooke S Jackson, Amanda L Rodrigue, Carol A Tamminga, Elliot S Gershon, Godfrey D Pearlson, Matcheri S Keshavan, Sarah S Keedy, S Kristian Hill, John A Sweeney and 2 more

Abstract read
In one paragraph

Article in Psychological medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 8 institutions in 1 country.

Ling-Yu HuangDepartments of Psychology & Neuroscience, University of Georgia, Athens, GA, USA.ORCID https://orcid.org/0000-0002-7653-8590
Brooke S JacksonDepartments of Psychology & Neuroscience, University of Georgia, Athens, GA, USA.
Amanda L RodrigueDepartment of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Carol A TammingaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Elliot S GershonDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
Godfrey D PearlsonThe Institute of Living, Hartford, CT, USA.
Matcheri S KeshavanDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Sarah S KeedyDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
S Kristian HillDepartment of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA.
John A SweeneyDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
Brett A ClementzDepartments of Psychology & Neuroscience, University of Georgia, Athens, GA, USA.
Jennifer E McDowellDepartments of Psychology & Neuroscience, University of Georgia, Athens, GA, USA.
University of Georgia · USUniversity of Chicago · USBoston Children's Hospital · USHarvard University · USInstitute for Community Living · USRosalind Franklin University of Medicine and Science · USThe University of Texas Southwestern Medical Center · USUniversity of Cincinnati · US

Funding

Stability of Biotypes: a Longitudinal Evaluation (STABLE)R01MH103368 · NIMH · UNIVERSITY OF CHICAGO · PI GERSHON, ELLIOT S, KEEDY, SARAH K · 2015 to 2019
$4.5M
5/5 BIPOLAR-SCHIZOPHRENIA NETWORK FOR INTERMEDIATE PHENOTYPES (B-SNIP) - Resubmission - 1R01MH103366 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A, GIBBONS, ROBERT D · 2015 to 2019
$3.8M
NIMH NIH HHS R01 MH103366NIMH NIH HHS R01 MH103368
6 · The paper itself

Abstract

backgroundAntisaccade tasks can be used to index cognitive control processes, e.g. attention, behavioral inhibition, working memory, and goal maintenance in people with brain disorders. Though diagnoses of schizophrenia (SZ), schizoaffective (SAD), and bipolar I with psychosis (BDP) are typically considered to be distinct entities, previous work shows patterns of cognitive deficits differing in degree, rather than in kind, across these syndromes.

methodsLarge samples of individuals with psychotic disorders were recruited through the Bipolar-Schizophrenia Network on Intermediate Phenotypes 2 (B-SNIP2) study. Anti- and pro-saccade task performances were evaluated in 189 people with SZ, 185 people with SAD, 96 people with BDP, and 279 healthy comparison participants. Logistic functions were fitted to each group's antisaccade speed-performance tradeoff patterns.

resultsPsychosis groups had higher antisaccade error rates than the healthy group, with SZ and SAD participants committing 2 times as many errors, and BDP participants committing 1.5 times as many errors. Latencies on correctly performed antisaccade trials in SZ and SAD were longer than in healthy participants, although error trial latencies were preserved. Parameters of speed-performance tradeoff functions indicated that compared to the healthy group, SZ and SAD groups had optimal performance characterized by more errors, as well as less benefit from prolonged response latencies. Prosaccade metrics did not differ between groups.

conclusionsWith basic prosaccade mechanisms intact, the higher speed-performance tradeoff cost for antisaccade performance in psychosis cases indicates a deficit that is specific to the higher-order cognitive aspects of saccade generation.

Indexed as

Bipolar DisorderPsychotic DisordersSchizophreniaHumansPhenotypeReaction Timebipolarcognitive controlsaccadeschizoaffectiveschizophreniaspeed-accuracy tradeoff

Identifiers

PMID33622437
PMCPMC13671197
OpenAlexW3131285056

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.