Development of human EEG-ASL-BOLD neuroimaging and math modelling framework to quantify neoronal, haemodynamic and metabolic responses to stimulation

Medicine & Life Sciences

1. Actigraphy 7%
2. Age Groups 5%
3. Artifacts 11%
4. Blood Vessels 11%
5. Brain 93%
6. Cerebrovascular Circulation 36%
7. Cognition 10%
8. Cortical Excitability 14%
9. Datasets 6%
10. Electroencephalography 85%
11. Evoked Potentials 5%
12. Eye 5%
13. Eye Movements 33%
14. Fractals 32%
15. Gray Matter 8%
16. Gyrus Cinguli 25%
17. Hand 18%
18. Head 8%
19. Heating 13%
20. Hemodynamics 24%
21. Human Activities 6%
22. Light 17%
23. Magnetic Resonance Imaging 100%
24. Magnetic Resonance Spectroscopy 13%
25. Maintenance 8%
26. Median Nerve 50%
27. Memory 17%
28. Metabolic Networks and Pathways 6%
29. Motor Cortex 6%
30. Neuroimaging 7%
31. Neuropsychological Tests 5%
32. Neurovascular Coupling 14%
33. Noise 7%
34. Oxygen 5%
35. Oxygen Consumption 10%
36. Pain 14%
37. Parietal Lobe 13%
38. Photic Stimulation 20%
39. Prefrontal Cortex 12%
40. Psychological Power 5%
41. Reaction Time 18%
42. Rubber 7%
43. Seeds 10%
44. Sensorimotor Cortex 13%
45. Sensory Feedback 30%
46. Sleep 56%
47. Somatosensory Evoked Potentials 11%
48. Spatial Analysis 10%
49. Spatio-Temporal Analysis 8%
50. Task Performance and Analysis 13%
51. Thalamus 20%
52. Visual Cortex 11%
53. Wakefulness 8%
54. Wrist 5%
55. Young Adult 14%