Evidence map›Paper›PMID 33005152›Full record

ArticleFrontiers in psychiatry2020

Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects in a Sample at Clinical High Risk for Psychosis From the NAPLS Consortium Assessed With the Human Startle Paradigm.

Kristin S Cadenhead, Erica Duncan, Jean Addington, Carrie Bearden, Tyrone D Cannon, Barbara A Cornblatt, Dan Mathalon, Thomas H McGlashan, Diana O Perkins, Larry J Seidman and 12 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. Frontiers in psychiatry · 2020
    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

22 authors at 10 institutions in 2 countries.

Kristin S CadenheadDepartment of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States.
Erica DuncanDepartment of Psychiatry, Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States.
Jean AddingtonHotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Carrie BeardenDepartment of Psychiatry and Psychology, University of California Los Angeles (UCLA), Los Angeles, CA, United States.
Tyrone D CannonDepartment of Psychiatry and Psychology, Yale University, New Haven, CT, United States.
Barbara A CornblattDepartment of Psychiatry and Psychology, The Feinstein Institute for Medical Research, Manhasset, NY, United States.
Dan MathalonUniversity of California, San Francisco, San Francisco, CA, United States.
Thomas H McGlashanDepartment of Psychiatry and Psychology, Yale University, New Haven, CT, United States.
Diana O PerkinsDepartment of Psychology, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States.
Larry J SeidmanDepartment of Psychiatry, Harvard University, Boston, MA, United States.
Ming TsuangDepartment of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States.
Elaine F WalkerDepartment of Psychiatry, Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States.
Scott W WoodsDepartment of Psychiatry and Psychology, Yale University, New Haven, CT, United States.
Peter BauchmanSan Francisco VA Medical Center, San Francisco, VA, United States.
Ayse BelgerUniversity of North Carolina (UNC), Chapel Hill, NC, United States.
Ricardo E CarriónDepartment of Psychiatry and Psychology, The Feinstein Institute for Medical Research, Manhasset, NY, United States.
Franc DonkersUniversity of North Carolina (UNC), Chapel Hill, NC, United States.
Jason JohannesenDepartment of Psychiatry and Psychology, Yale University, New Haven, CT, United States.
Gregory LightDepartment of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States.
Margaret NiznikiewiczDepartment of Psychiatry, Harvard University, Boston, MA, United States.
Jason NunagDepartment of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States.
Brian RoachUniversity of California, San Francisco, San Francisco, CA, United States.
University of California San Diego · USYale University · USSan Francisco VA Medical Center · USUniversity of North Carolina at Chapel Hill · USFeinstein Institute for Medical Research · USHarvard University · USAtlanta VA Health Care System · USEmory University · USUniversity of Calgary · CAUniversity of California, Los Angeles · US

Funding

Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
Emotion-Modulated Psychophysiology of Autism Spectrum DisordersR21MH085254 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENNING, STEPHEN D, DICHTER, GABRIEL S · 2009 to 2010
$416k
NICHD NIH HHS P50 HD103573NIMH NIH HHS R21 MH085254NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

abstractBiomarkers are important in the study of the prodromal period of psychosis because they can help to identify individuals at greatest risk for future psychotic illness and provide insights into disease mechanism underlying neurodevelopmental abnormalities. The biomarker abnormalities can then be targeted with treatment, with an aim toward prevention or mitigation of disease. The human startle paradigm has been used in translational studies of psychopathology including psychotic illness to assess preattentive information processing for over 50 years. In one of the largest studies to date in clinical high risk (CHR) for psychosis participants, we aimed to evaluate startle indices as biomarkers of risk along with the role of age, sex, treatment, and substance use in this population of high risk individuals.

methodsStartle response reactivity, latency, and prepulse inhibition (PPI) were assessed in 543 CHR and 218 Normal Comparison (NC) participants between the ages of 12 and 35.

resultsAt 1 year follow-up, 58 CHR participants had converted to psychosis. CHR and NC groups did not differ across any of the startle measures but those CHR participants who later converted to psychosis had significantly slower startle latency than did those who did not convert to psychosis, and this effect was driven by female CHR participants. PPI was significantly associated with age in the CHR, but not the NC, participants with the greatest positive age correlations present in those CHR participants who later converted to psychosis, consistent with a prior report. Finally, there was a significant group by cannabis use interaction due to greater PPI in cannabis users and opposite PPI group effects in users (CHR>NC) and non-users (NC>CHR). DISCUSSION: This is the first study to demonstrate a relationship of startle response latency to psychotic conversion in a CHR population. PPI is an important biomarker that may be sensitive to the neurodevelopmental abnormalities thought to be present in psychosis prone individuals and the effects of cannabis. The significant correlations with age in this sample as well as the finding of greater PPI in CHR cannabis users replicate findings from another large sample of CHR participants.

Indexed as

agecannabislatencyneurodevelopmentprepulse inhibitionprodromeschizophreniastartle

Identifiers

PMID33005152
PMCPMC7479820
OpenAlexW3080233045

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.