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Article

Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia

by
Yuko Higuchi
1,2,3,*,
Tomiki Sumiyoshi
3,
Takahiro Tateno
1,2,
Suguru Nakajima
1,2,
Daiki Sasabayashi
1,2,
Shimako Nishiyama
1,4,
Yuko Mizukami
1,
Tsutomu Takahashi
1,2,3 and
Michio Suzuki
1,2,3
1
Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan
2
Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
3
National Center of Neurology and Psychiatry, Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, Tokyo 187-8551, Japan
4
Center for Health Care and Human Sciences, University of Toyama, Toyama 930-8555, Japan
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2021, 11(5), 327; https://doi.org/10.3390/jpm11050327
Submission received: 25 March 2021 / Revised: 16 April 2021 / Accepted: 18 April 2021 / Published: 21 April 2021
(This article belongs to the Special Issue Psychoneurobiology Research and Personalized Treatment of Schizophrenia)
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Abstract

We measured P300, an event-related potential, in subjects with at-risk mental states (ARMS) and aimed to determine whether P300 parameter can predict progression to overt schizophrenia. Thirty-three subjects with ARMS, 39 with schizophrenia, and 28 healthy controls participated in the study. All subjects were antipsychotic-free. Subjects with ARMS were followed-up for more than two years. Cognitive function was measured by the Brief assessment of Cognition in Schizophrenia (BACS) and Schizophrenia Cognition Rating Scale (SCoRS), while the modified Global Assessment of Functioning (mGAF) was used to assess global function. Patients with schizophrenia showed smaller P300 amplitudes and prolonged latency at Pz compared to those of healthy controls and subjects with ARMS. During the follow-up period, eight out of 33 subjects with ARMS developed overt psychosis (ARMS-P) while 25 did not (ARMS-NP). P300 latency of ARMS-P was significantly longer than that of ARMS-NP. At baseline, ARMS-P elicited worse cognitive functions, as measured by the BACS and SCoRS compared to ARMS-NP. We also detected a significant relationship between P300 amplitudes and mGAF scores in ARMS subjects. Our results suggest the usefulness of prolonged P300 latency and cognitive impairment as a predictive marker of later development of schizophrenia in vulnerable individuals.
Keywords: P300; event-related potentials; clinical high-risk; psychosis; at risk mental state; schizophrenia; cognition; latency P300; event-related potentials; clinical high-risk; psychosis; at risk mental state; schizophrenia; cognition; latency

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MDPI and ACS Style

Higuchi, Y.; Sumiyoshi, T.; Tateno, T.; Nakajima, S.; Sasabayashi, D.; Nishiyama, S.; Mizukami, Y.; Takahashi, T.; Suzuki, M. Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia. J. Pers. Med. 2021, 11, 327. https://doi.org/10.3390/jpm11050327

AMA Style

Higuchi Y, Sumiyoshi T, Tateno T, Nakajima S, Sasabayashi D, Nishiyama S, Mizukami Y, Takahashi T, Suzuki M. Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia. Journal of Personalized Medicine. 2021; 11(5):327. https://doi.org/10.3390/jpm11050327

Chicago/Turabian Style

Higuchi, Yuko, Tomiki Sumiyoshi, Takahiro Tateno, Suguru Nakajima, Daiki Sasabayashi, Shimako Nishiyama, Yuko Mizukami, Tsutomu Takahashi, and Michio Suzuki. 2021. "Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia" Journal of Personalized Medicine 11, no. 5: 327. https://doi.org/10.3390/jpm11050327

APA Style

Higuchi, Y., Sumiyoshi, T., Tateno, T., Nakajima, S., Sasabayashi, D., Nishiyama, S., Mizukami, Y., Takahashi, T., & Suzuki, M. (2021). Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia. Journal of Personalized Medicine, 11(5), 327. https://doi.org/10.3390/jpm11050327

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