High-dose antidepressants affect near-infrared spectroscopy signals: A retrospective study

Akihiro Takamiya, Jinichi Hirano, Yuki Ebuchi, Satoyuki Ogino, Kenichi Shimegi, Hiroyuki Emura, Kyoko Yonemori, Akiko Shimazawa, Gentaro Miura, Ayako Hyodo, Sari Hyodo, Tunetaka Nagai, Madoka Funaki, Masako Sugihara, Mitsuhiro Kita, Bun Yamagata, Masaru Mimura

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Background Recent studies have highlighted the clinical usefulness of near-infrared spectroscopy (NIRS) in psychiatry. However, the potential effects of psychotropics on NIRS signals remain unknown. Methods We conducted a systematic chart review of 40 depressed patients who underwent NIRS scans during a verbal fluency task to clarify the relationships between psychotropic dosage and NIRS signals. The dosage of psychotropic medications was calculated using defined daily dose (DDD). We investigated the associations between the DDD of psychotropic medications and oxygenated hemoglobin (oxy-Hb) in single channel levels. Limitations Retrospective study design and small sample size are the main limitations. Results Multiple regression analysis revealed that one channel in the right temporoparietal region had a significant association with antidepressant DDD controlling for age, sex, depression severity, and the DDD of antipsychotics and benzodiazepines. Moreover, high doses of antidepressants had significant effects on NIRS signals compared with low doses, in group comparisons. Conclusions The dose-dependent impact of antidepressants on NIRS signals should be taken into account when interpreting NIRS data.

Original languageEnglish
Pages (from-to)648-655
Number of pages8
JournalNeuroImage: Clinical
Volume14
DOIs
Publication statusPublished - 2017

Keywords

  • Antidepressant
  • Bipolar disorder
  • Major depressive disorder (MDD)
  • Near-infrared spectroscopy (NIRS)
  • Schizophrenia

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience

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