Neuroscience 2003 Abstract
| Presentation Number: | 863.1 |
|---|---|
| Abstract Title: | Neurofeedback functional MRI. |
| Authors: |
Yoo, S.*1
; Chen, N.1
; Panych, L. P.1
; Jolesz, F. A.1
1Radiol, Brigham & Women's Hosp, Harvard Med. Sch, Boston, MA |
| Primary Theme and Topics |
Techniques in Neuroscience - Data analysis, physiological methods, statistics |
| Session: |
863. Imaging Methods Poster |
| Presentation Time: | Wednesday, November 12, 2003 8:00 AM-9:00 AM |
| Location: | Morial Convention Center - Hall F-I, Board # VV60 |
| Keywords: | BRAIN IMAGING, LEARNING AND MEMORY, FEEDBACK, ATTENTION |
We developed and implemented Functional MRI (fMRI) method, capable of delivering high-resolution definition of regionally specific brain activities as real-time biofeedback signal. We postulated that the feedback of brain function (i.e. neurofeedback) would assist subjects to achieve significant degree of modulation in the primary and secondary auditory areas by adjusting the level of attention to the incoming auditory stimuli.
The experiment was conducted at high-field (3 Tesla) MR system, with near real-time fMRI data processing and anatomical segmentation capability. Five healthy volunteers participated in the fMRI examination, which consisted of six baseline scan sessions (three pre- and three post-neurofeedback trials) and five neurofeedback trial sessions. A reference scan session was conducted to delineate the target modulatory areas in the transverse temporal gyrus. In each fMRI session, auditory stimuli (computer generated 850Hz tone with +/- 30% bandwidth frequency modulation at 4Hz oscillation) were given during the four task conditions interleaved by four rest conditions (15 second each), and the subject were asked to change the level of attention/ distraction to modulate the size of activation in auditory areas. At the end of each session, significance of level of activation was determined using a conservative Bonferroni correction (p <10-5). The size of activation from the auditory areas was automatically measured and fed back to the subject via graphical interface (MR-compatible goggles), allowing the subjects to evaluate the effectiveness of their cognitive efforts at the completion of each trial block.
We have demonstrated that fMRI neurofeedback successfully guided the subjects to achieve more than 100% increase and 70% decrease from the baseline stimulation condition in the auditory cortex during the active listening and active distraction phases, respectively. Our results suggest that near real-time neurofeedback using fMRI has the potential in the modulating anatomically specific cortical activities.
The experiment was conducted at high-field (3 Tesla) MR system, with near real-time fMRI data processing and anatomical segmentation capability. Five healthy volunteers participated in the fMRI examination, which consisted of six baseline scan sessions (three pre- and three post-neurofeedback trials) and five neurofeedback trial sessions. A reference scan session was conducted to delineate the target modulatory areas in the transverse temporal gyrus. In each fMRI session, auditory stimuli (computer generated 850Hz tone with +/- 30% bandwidth frequency modulation at 4Hz oscillation) were given during the four task conditions interleaved by four rest conditions (15 second each), and the subject were asked to change the level of attention/ distraction to modulate the size of activation in auditory areas. At the end of each session, significance of level of activation was determined using a conservative Bonferroni correction (p <10-5). The size of activation from the auditory areas was automatically measured and fed back to the subject via graphical interface (MR-compatible goggles), allowing the subjects to evaluate the effectiveness of their cognitive efforts at the completion of each trial block.
We have demonstrated that fMRI neurofeedback successfully guided the subjects to achieve more than 100% increase and 70% decrease from the baseline stimulation condition in the auditory cortex during the active listening and active distraction phases, respectively. Our results suggest that near real-time neurofeedback using fMRI has the potential in the modulating anatomically specific cortical activities.
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2003 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2003. Online.
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