Takamiya Akihiro, Hirano Jinichi, Ebuchi Yuki, Ogino Satoyuki, Shimegi Kenichi, Emura Hiroyuki, Yonemori Kyoko, Shimazawa Akiko, Miura Gentaro, Hyodo Ayako, Hyodo Sari, Nagai Tunetaka, Funaki Madoka, Sugihara Masako, Kita Mitsuhiro, Yamagata Bun, Mimura Masaru
Department of Neuropsychiatry, Keio University School of Medicine, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Brain Energy, 1-28-5, Komaba, Meguro-ku, Tokyo 153-0041, Japan.
Neuroimage Clin. 2017 Feb 13;14:648-655. doi: 10.1016/j.nicl.2017.02.008. eCollection 2017.
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.
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.
Retrospective study design and small sample size are the main limitations.
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.
The dose-dependent impact of antidepressants on NIRS signals should be taken into account when interpreting NIRS data.
最近的研究强调了近红外光谱(NIRS)在精神病学中的临床实用性。然而,精神药物对NIRS信号的潜在影响仍然未知。
我们对40名在言语流畅性任务期间接受NIRS扫描的抑郁症患者进行了系统的图表回顾,以阐明精神药物剂量与NIRS信号之间的关系。精神药物的剂量使用限定日剂量(DDD)计算。我们在单通道水平上研究了精神药物的DDD与氧合血红蛋白(oxy-Hb)之间的关联。
回顾性研究设计和小样本量是主要局限性。
多元回归分析显示,在控制年龄、性别、抑郁严重程度以及抗精神病药物和苯二氮䓬类药物的DDD后,右侧颞顶叶区域的一个通道与抗抑郁药DDD有显著关联。此外,在组间比较中,高剂量抗抑郁药与低剂量相比,对NIRS信号有显著影响。
在解释NIRS数据时,应考虑抗抑郁药对NIRS信号的剂量依赖性影响。