1. fNIRS Assessment during an Emotional Stroop Task among Patients with Depression: Replication and Extension
- Author
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Jun Koh, Soichiro Maruyama, Toshio Matsubara, Tetsufumi Kanazawa, Makoto Kawano, Shinya Kinoshita, Hiroshi Yoneda, Koji Matsuo, Yasuo Kawabata, and Yoshitaka Nishizawa
- Subjects
medicine.medical_specialty ,Future studies ,Frontal cortex ,business.industry ,Depression ,Significant difference ,Biomarker ,Left frontal cortex ,Audiology ,030227 psychiatry ,03 medical and health sciences ,Psychiatry and Mental health ,0302 clinical medicine ,Etiology ,Biomarker (medicine) ,Medicine ,In patient ,Original Article ,business ,Functional near-infrared spectroscopy (f-NIRS) ,030217 neurology & neurosurgery ,Biological Psychiatry ,Depression (differential diagnoses) ,Stroop effect - Abstract
Objective Accumulated evidence collected via functional near-infrared spectroscopy (fNIRS) has been reported with regard to mental disorders. A previous finding revealed that emotional words evoke left frontal cortex activity in patients with depression. The primary aim of the current study was to replicate this finding using an independent dataset and evaluate the brain region associated with the severity of depression using an emotional Stroop task. Methods Oxygenized and deoxygenized hemoglobin recording in the brain by fNIRS on 14 MDD patients and 20 normal controls. Results Hyperactivated oxygenized hemoglobin was observed in the left frontal cortex on exposure to unfavorable stimuli, but no significant difference was found among patients with depression compared with healthy controls on exposure to favorable stimuli. This result is consistent with previous findings. Moreover, an evoked wave associated with the left upper frontal cortex on favorable stimuli was inversely correlated with the severity of depression. Conclusion Our current work using fNIRS provides a potential clue regarding the location of depression symptom severity in the left upper frontal cortex. Future studies should verify our findings and expand them into a precise etiology of depression.
- Published
- 2019