Fnirs example sentences

"Fnirs" Example Sentences

1. fNIRS is a valuable tool for neuroscience research.
2. The researchers used fNIRS to measure brain activity.
3. fNIRS data analysis can be complex.
4. We are developing a new fNIRS headset.
5. This study employed fNIRS to investigate cognitive processes.
6. fNIRS offers a non-invasive method for brain imaging.
7. The limitations of fNIRS include its shallow penetration depth.
8. fNIRS technology is constantly improving.
9. Future studies will use fNIRS to explore further.
10. fNIRS is becoming increasingly popular in clinical settings.
11. Compared to fMRI, fNIRS is more portable.
12. The experiment involved participants wearing a fNIRS cap.
13. fNIRS signals were processed using specialized software.
14. Analyzing fNIRS data requires expertise.
15. They presented their fNIRS findings at the conference.
16. fNIRS measurements were synchronized with behavioral data.
17. Researchers are exploring the combination of EEG and fNIRS.
18. The article discussed the advantages and disadvantages of fNIRS.
19. fNIRS has shown promising results in various applications.
20. What are the potential risks associated with fNIRS use?
21. A significant challenge is the proper calibration of the fNIRS system.
22. We observed a strong correlation between behavioral measures and fNIRS data.
23. The cost of fNIRS equipment can be prohibitive.
24. fNIRS provides a unique perspective on brain function.
25. How does fNIRS compare to other neuroimaging techniques?
26. fNIRS is used to study brain-computer interfaces.
27. The study showed that fNIRS is sensitive to changes in blood flow.
28. Advanced fNIRS algorithms are being developed.
29. Interpreting fNIRS results requires careful consideration.
30. fNIRS may be suitable for studying infants and young children.
31. The development of portable fNIRS devices is a major advancement.
32. This research utilized a multi-channel fNIRS system.
33. They validated their fNIRS findings through other methods.
34. fNIRS is relatively safe and painless.
35. fNIRS measurements were taken during rest and task conditions.
36. The study lacked sufficient power to draw definitive conclusions from the fNIRS data.
37. fNIRS-based neurofeedback is an emerging area of interest.
38. Are there ethical considerations related to fNIRS research?
39. Further research is needed to fully understand the potential of fNIRS.
40. The signal-to-noise ratio of fNIRS can be improved.
41. fNIRS is a promising technique for studying brain plasticity.
42. The impact of head movements on fNIRS measurements needs to be addressed.
43. fNIRS provides a good spatial resolution compared to EEG.
44. fNIRS and EEG can be used in combination to study brain activity.
45. The preprocessing of fNIRS data is crucial for accurate results.
46. Researchers are developing new algorithms for fNIRS data analysis.
47. Real-time fNIRS feedback could be used in brain-computer interfaces.
48. The application of fNIRS in education is an area of growing interest.
49. They are investigating the use of fNIRS in clinical diagnostics.
50. fNIRS is a relatively new technique but has shown great potential.