Evidence map›Paper›PMID 32848939›Full record

ArticleFrontiers in psychiatry2020

Mismatch Negativity Predicts Remission and Neurocognitive Function in Individuals at Ultra-High Risk for Psychosis.

Mao Fujioka, Kenji Kirihara, Daisuke Koshiyama, Mariko Tada, Tatsuya Nagai, Kaori Usui, Susumu Morita, Shintaro Kawakami, Kentaro Morita, Yoshihiro Satomura and 4 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

14 authors at 3 institutions in 2 countries.

Mao FujiokaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kenji KiriharaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Daisuke KoshiyamaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mariko TadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tatsuya NagaiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kaori UsuiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Susumu MoritaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shintaro KawakamiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kentaro MoritaDepartment of Rehabilitation, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshihiro SatomuraDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shinsuke KoikeDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Motomu SugaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tsuyoshi ArakiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kiyoto KasaiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPTeikyo Heisei University · JPUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the early intervention in psychosis, ultra-high risk (UHR) criteria have been used to identify individuals who are prone to develop psychosis. Although the transition rate to psychosis in individuals at UHR is 10% to 30% within several years, some individuals at UHR present with poor prognoses even without transition occurring. Therefore, it is important to identify biomarkers for predicting the prognosis of individuals at UHR, regardless of transition. We investigated whether mismatch negativity (MMN) in response to both duration deviant stimuli (dMMN) and frequency deviant stimuli (fMMN) could predict prognosis, including remission and neurocognitive function in individuals at UHR. MATERIALS AND

methodsIndividuals at UHR (n = 24) and healthy controls (HC; n = 18) participated in this study. In an auditory oddball paradigm, both dMMN and fMMN were measured at baseline. Remission and neurocognitive function after > 180 days were examined in the UHR group. Remission from UHR was defined as functional and symptomatic improvement using the Global Assessment of Functioning (GAF) score and Scale of Prodromal Symptoms (SOPS) positive subscales. Neurocognitive function was measured using the Brief Assessment of Cognition in Schizophrenia (BACS). We examined differences in MMN amplitude at baseline between those who achieved remission (remitters) and those who did not (non-remitters). Multiple regression analyses were performed to identify predictors for functioning, positive symptoms, and neurocognitive function.

resultsCompared with the HC group, the UHR group had a significantly attenuated dMMN amplitude (

conclusionOur findings indicate that dMMN and fMMN predicted remission and neurocognitive function, respectively, in individuals at UHR, which suggests that there are both promising biomarker candidates for predicting prognosis in individuals at UHR.

Indexed as

longitudinal studymismatch negativityneurocognitive functionremissionultra-high risk for psychosis

Identifiers

PMID32848939
PMCPMC7416637
OpenAlexW3047473122

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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.