Differential patterns of blood oxygenation in the prefrontal cortex between patients with methamphetamine-induced psychosis and schizophrenia

Kazuhiko Yamamuro, Manabu Makinodan, Sohei Kimoto, Naoko Kishimoto, Tsubasa Morimoto, Michihiro Toritsuka, Kiwamu Matsuoka, Yoshihiro Takebayashi, Tomoyo Takata, Masato Takahashi, Yoshinori Tanimura, Yosuke Nishihata, Yasuhiro Matsuda, Toyosaku Ota, Hiroki Yoshino, Junzo Iida, Toshifumi Kishimoto

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Despite some slight differences in symptomatology, differential diagnosis of methamphetamine-induced psychosis (MAP) versus schizophrenia can be challenging because both disorders present a large overlap in their clinical symptoms. However, a recent study has shown that near-infrared spectroscopy (NIRS) performed during a cognitive task can be a powerful tool to differentiate between these two disorders. Here, we evaluated verbal fluency task performance during NIRS in 15 patients diagnosed with MAP and 19 with schizophrenia matched for age and sex. We used prefrontal probes and a 24-channel NIRS machine to measure the relative concentrations of oxyhaemoglobin every 0.1 s during the task. For each patient, the neurocognitive function and clinical psychopathology were evaluated using the Positive and Negative Symptom Scale (PANSS), and the Brief Assessment of Cognition in Schizophrenia (BACS). Oxyhaemoglobin changes in the prefrontal cortex were significantly higher in the MAP group compared to those in the schizophrenia group, particularly in the right dorsolateral prefrontal cortex. In contrast, we found no significant difference in PANSS and BACS scores. Our findings suggest that NIRS measurement could be applied to differentiate patients with MAP from those with schizophrenia, even in cases where clinical symptoms are similar.

Original languageEnglish
Article number12107
JournalScientific reports
Volume5
DOIs
Publication statusPublished - 16-07-2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General

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