Abstract
A brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) is presented which allows human subjects to observe and control changes of their own blood oxygen level-dependent (BOLD) response. This BCI performs data preprocessing (including linear trend removal, 3D motion correction) and statistical analysis on-line. Local BOLD signals are continuously fed back to the subject in the magnetic resonance scanner with a delay of less than 2 s from image acquisition. The mean signal of a region of interest is plotted as a time-series superimposed on color-coded stripes which indicate the task, i.e., to increase or decrease the BOLD signal. We exemplify the presented BCI with one volunteer intending to control the signal of the rostral-ventral and dorsal part of the anterior cingulate cortex (ACC). The subject achieved significant changes of local BOLD responses as revealed by region of interest analysis and statistical parametric maps. The percent signal change increased across fMRI-feedback sessions suggesting a learning effect with training. This methodology of fMRI-feedback can assess voluntary control of circumscribed brain areas. As a further extension, behavioral effects of local self-regulation become accessible as a new field of research.
| Original language | English |
|---|---|
| Pages (from-to) | 577-586 |
| Number of pages | 10 |
| Journal | NeuroImage |
| Volume | 19 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jul 1 2003 |
Fingerprint
Keywords
- Anterior cingulate
- Blood oxygen level-dependent
- Brain-computer interface
- Feedback
- fMRI-feedback
- Neurofeedback
- Physiological regulation
- Real-time functional magnetic resonance imaging
- Self-regulation
ASJC Scopus subject areas
- Cognitive Neuroscience
- Neurology
Cite this
Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI) : Methodology and exemplary data. / Weiskopf, Nikolaus; Veit, Ralf; Erb, Michael; Mathiak, Klaus; Grodd, Wolfgang; Goebel, Rainer; Birbaumer, Niels.
In: NeuroImage, Vol. 19, No. 3, 01.07.2003, p. 577-586.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI)
T2 - Methodology and exemplary data
AU - Weiskopf, Nikolaus
AU - Veit, Ralf
AU - Erb, Michael
AU - Mathiak, Klaus
AU - Grodd, Wolfgang
AU - Goebel, Rainer
AU - Birbaumer, Niels
PY - 2003/7/1
Y1 - 2003/7/1
N2 - A brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) is presented which allows human subjects to observe and control changes of their own blood oxygen level-dependent (BOLD) response. This BCI performs data preprocessing (including linear trend removal, 3D motion correction) and statistical analysis on-line. Local BOLD signals are continuously fed back to the subject in the magnetic resonance scanner with a delay of less than 2 s from image acquisition. The mean signal of a region of interest is plotted as a time-series superimposed on color-coded stripes which indicate the task, i.e., to increase or decrease the BOLD signal. We exemplify the presented BCI with one volunteer intending to control the signal of the rostral-ventral and dorsal part of the anterior cingulate cortex (ACC). The subject achieved significant changes of local BOLD responses as revealed by region of interest analysis and statistical parametric maps. The percent signal change increased across fMRI-feedback sessions suggesting a learning effect with training. This methodology of fMRI-feedback can assess voluntary control of circumscribed brain areas. As a further extension, behavioral effects of local self-regulation become accessible as a new field of research.
AB - A brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) is presented which allows human subjects to observe and control changes of their own blood oxygen level-dependent (BOLD) response. This BCI performs data preprocessing (including linear trend removal, 3D motion correction) and statistical analysis on-line. Local BOLD signals are continuously fed back to the subject in the magnetic resonance scanner with a delay of less than 2 s from image acquisition. The mean signal of a region of interest is plotted as a time-series superimposed on color-coded stripes which indicate the task, i.e., to increase or decrease the BOLD signal. We exemplify the presented BCI with one volunteer intending to control the signal of the rostral-ventral and dorsal part of the anterior cingulate cortex (ACC). The subject achieved significant changes of local BOLD responses as revealed by region of interest analysis and statistical parametric maps. The percent signal change increased across fMRI-feedback sessions suggesting a learning effect with training. This methodology of fMRI-feedback can assess voluntary control of circumscribed brain areas. As a further extension, behavioral effects of local self-regulation become accessible as a new field of research.
KW - Anterior cingulate
KW - Blood oxygen level-dependent
KW - Brain-computer interface
KW - Feedback
KW - fMRI-feedback
KW - Neurofeedback
KW - Physiological regulation
KW - Real-time functional magnetic resonance imaging
KW - Self-regulation
UR - http://www.scopus.com/inward/record.url?scp=0043172450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0043172450&partnerID=8YFLogxK
U2 - 10.1016/S1053-8119(03)00145-9
DO - 10.1016/S1053-8119(03)00145-9
M3 - Article
VL - 19
SP - 577
EP - 586
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
IS - 3
ER -