| Literature DB >> 19896332 |
Michiyo Azechi1, Masao Iwase, Koji Ikezawa, Hidetoshi Takahashi, Leonides Canuet, Ryu Kurimoto, Takayuki Nakahachi, Ryouhei Ishii, Motoyuki Fukumoto, Kazutaka Ohi, Yuka Yasuda, Hiroaki Kazui, Ryota Hashimoto, Masatoshi Takeda.
Abstract
While psychiatric disorders such as schizophrenia are largely diagnosed on symptomatology, several studies have attempted to determine which biomarkers can discriminate schizophrenia patients from non-patients with schizophrenia. The objective of this study is to assess whether near-infrared spectroscopy (NIRS) measurement can distinguish schizophrenia patients from healthy subjects. Sixty patients with schizophrenia and sixty age- and gender-matched healthy controls were divided into two sequential groups. The concentration change in oxygenated hemoglobin (Delta[oxy-Hb]) was measured in the bilateral prefrontal areas (Fp1-F7 and Fp2-F8) during the Verbal Fluency Test (VFT) letter version and category version, Tower of Hanoi (TOH), Sternberg's (SBT) and Stroop Tasks. In the first group, schizophrenia patients showed poorer task performance on all tasks and less prefrontal cortex activation during all but the Stroop Task compared to healthy subjects. In the second group, schizophrenia patients showed poorer task performance and less prefrontal cortex activation during VFTs and TOH tasks than healthy subjects. We then performed discriminant analysis by a stepwise method using Delta[oxy-Hb] and task performance measures as independent variables. The discriminant analysis in the first group included task performance of TOH, VFT letter and VFT category and Delta[oxy-Hb] of VFT letter. As a result, 88.3% of the participants were correctly classified as being schizophrenic or healthy subjects in the first analysis. The discriminant function derived from the first group correctly assigned 75% of the subjects in the second group. Our findings suggest that NIRS measurement could be applied to differentiate patients with schizophrenia from healthy subjects. (c) 2009 Elsevier B.V. All rights reserved.Entities:
Mesh:
Year: 2009 PMID: 19896332 DOI: 10.1016/j.schres.2009.10.003
Source DB: PubMed Journal: Schizophr Res ISSN: 0920-9964 Impact factor: 4.939