| Autor: |
Xiaoli Fan, Bin Gong, Hao Yang, Juanjuan Yang, Gaowei Qi, Zheng Wang, Jie Sun, Yu Fang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-12 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1475-925X |
| DOI: |
10.1186/s12938-024-01255-7 |
| Popis: |
Abstract Background The subjective sign of a serious pandemic in human work and life is mathematical neural tinnitus. fNIRS (functional near-infrared spectroscopy) is a new non-invasive brain imaging technology for studying the neurological activity of the human cerebral cortex. It is based on neural coupling effects. This research uses the fNIRS approach to detect differences in the neurological activity of the cerebral skin in the sound stimulation mission in order to better discriminate between the sensational neurological tinnitus. Methods In the fNIRS brain imaging method, 14 sensorineural tinnitus sufferers and 14 healthy controls listened to varied noise and quiet for fNIRS data collection. Linear fitting was employed in MATLAB to eliminate slow drifts during preprocessing and event-related design analysis. The false discovery rate (FDR) procedure was applied in IBM SPSS Statistics 26.0 to control the false positive rate in multiple comparison analyses. Results When the ill group and the healthy control group were stimulated by pink noise, there was a significant difference in blood oxygen concentration (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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