Evidence map›Paper›PMID 28062652›Full record

ArticleSchizophrenia bulletin2017

The Processing-Speed Impairment in Psychosis Is More Than Just Accelerated Aging.

Samuel R Mathias, Emma E M Knowles, Jennifer Barrett, Olivia Leach, Sebastiano Buccheri, Tamara Beetham, John Blangero, Russell A Poldrack, David C Glahn

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Neuropsychology of Bipolar Disorder.Current topics in behavioral neurosciences · 2021
    Article
  19. Article
  20. 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 at 5 institutions in 1 country.

Samuel R MathiasNeurocognition, Neurocomputation and Neurogenetics (n3) Division, Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, Room 694, New Haven, CT 06511.
Emma E M KnowlesNeurocognition, Neurocomputation and Neurogenetics (n3) Division, Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, Room 694, New Haven, CT 06511.
Jennifer BarrettOlin Neuropsychiatry Research Center, Institute of Living, Hartford, CT.
Olivia LeachOlin Neuropsychiatry Research Center, Institute of Living, Hartford, CT.
Sebastiano BuccheriOlin Neuropsychiatry Research Center, Institute of Living, Hartford, CT.
Tamara BeethamNeurocognition, Neurocomputation and Neurogenetics (n3) Division, Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, Room 694, New Haven, CT 06511.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX.
Russell A PoldrackDepartment of Psychology, Stanford University, Stanford, CA.
David C GlahnNeurocognition, Neurocomputation and Neurogenetics (n3) Division, Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, Room 694, New Haven, CT 06511.
Hartford Financial Services (United States)Institute for Community Living · USStanford University · USThe University of Texas Rio Grande Valley · USYale University · US

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Gene Networks Influencing Psychotic Dysconnectivity in African AmericansR01MH106324 · NIMH · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2015 to 2019
$4.2M
NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH106324
6 · The paper itself

Abstract

Processing speed is impaired in patients with psychosis, and deteriorates as a function of normal aging. These observations, in combination with other lines of research, suggest that psychosis may be a syndrome of accelerated aging. But do patients with psychosis perform poorly on tasks of processing speed for the same reasons as older adults? Fifty-one patients with psychotic illnesses and 90 controls with similar mean IQ (aged 19-69 years, all African American) completed a computerized processing-speed task, reminiscent of the classic digit-symbol coding task. The data were analyzed using the drift-diffusion model (DDM), and Bayesian inference was used to determine whether psychosis and aging had similar or divergent effects on the DDM parameters. Psychosis and aging were both associated with poor performance, but had divergent effects on the DDM parameters. Patients had lower information-processing efficiency ("drift rate") and longer nondecision time than controls, and psychosis per se did not influence response caution. By contrast, the primary effect of aging was to increase response caution, and had inconsistent effects on drift rate and nondecision time across patients and controls. The results reveal that psychosis and aging influenced performance in different ways, suggesting that the processing-speed impairment in psychosis is more than just accelerated aging. This study also demonstrates the potential utility of computational models and Bayesian inference for finely mapping the contributions of cognitive functions on simple neurocognitive tests.

Indexed as

AdultAgedAgingAging, PrematureCognitive DysfunctionFemaleHumansMaleMiddle AgedPsychotic DisordersReaction TimeWechsler ScalesYoung AdultagingBayesian inferencecomputational psychiatrydigit–symbolprocessing speedpsychosis

Identifiers

PMID28062652
PMCPMC5472152
OpenAlexW2568421828

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.