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

longitudinal study mismatch negativity neurocognitive function remission ultra-high risk for psychosis

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2020
Historique:
received: 18 03 2020
accepted: 21 07 2020
entrez: 28 8 2020
pubmed: 28 8 2020
medline: 28 8 2020
Statut: epublish

Résumé

In 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. Individuals 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. Compared with the HC group, the UHR group had a significantly attenuated dMMN amplitude ( Our 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.

Sections du résumé

BACKGROUND BACKGROUND
In 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 METHODS METHODS
Individuals 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.
RESULTS RESULTS
Compared with the HC group, the UHR group had a significantly attenuated dMMN amplitude (
CONCLUSION CONCLUSIONS
Our 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.

Identifiants

pubmed: 32848939
doi: 10.3389/fpsyt.2020.00770
pmc: PMC7416637
doi:

Types de publication

Journal Article

Langues

eng

Pagination

770

Informations de copyright

Copyright © 2020 Fujioka, Kirihara, Koshiyama, Tada, Nagai, Usui, Morita, Kawakami, Morita, Satomura, Koike, Suga, Araki and Kasai.

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Auteurs

Mao Fujioka (M)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Kenji Kirihara (K)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Daisuke Koshiyama (D)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.

Mariko Tada (M)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.

Tatsuya Nagai (T)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Psychiatry, Kawamuro Memorial Hospital, Joetsu, Japan.

Kaori Usui (K)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Susumu Morita (S)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Shintaro Kawakami (S)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Kentaro Morita (K)

Department of Rehabilitation, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Yoshihiro Satomura (Y)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Shinsuke Koike (S)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.
University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan.
Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.
UTokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan.

Motomu Suga (M)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Graduate School of Clinical Psychology, Teikyo Heisei University, Tokyo, Japan.

Tsuyoshi Araki (T)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Kiyoto Kasai (K)

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.
University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan.
UTokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan.

Classifications MeSH