Real-Time fMRI: A Tool for Local Brain Regulation

被引:88
作者
Caria, Andrea [1 ,2 ]
Sitaram, Ranganatha [1 ,3 ]
Birbaumer, Niels [1 ,4 ]
机构
[1] Univ Tubingen, Inst Med Psychol & Behav Neurobiol, D-72074 Tubingen, Germany
[2] Univ Trent, Dipartimento Sci Cogniz & Formaz, Trento, Italy
[3] Sree Chitra Tirunal Inst Med Sci & Technol, Trivandrum, Kerala, India
[4] Osped San Camillo, IRCCS, Ist Ricovero & Cura Carattere Sci, Venice, Italy
关键词
real-time fMRI; BOLD; neurofeedback; self-regulation; operant learning; SLOW CORTICAL POTENTIALS; RESONANCE-IMAGING FMRI; FUNCTIONAL MRI; SELF-REGULATION; MOTION CORRECTION; CORTEX ACTIVITY; BOLD-CONTRAST; HEAD MOTION; ACTIVATION; NEUROFEEDBACK;
D O I
10.1177/1073858411407205
中图分类号
R74 [神经病学与精神病学];
学科分类号
100204 [神经病学];
摘要
Real-time fMRI permits simultaneous measurement and observation of brain activity during an ongoing task. One of the most challenging applications of real-time fMRI in neuroscientific and clinical research is the possibility of acquiring volitional control of localized brain activity using real-time fMRI-based neurofeedback protocols. Real-time fMRI allows the experimenter to noninvasively manipulate brain activity as an independent variable to observe the effects on behavior. Real-time fMRI neurofeedback studies demonstrated that learned control of the local brain activity leads to specific changes in behavior. Here, the authors describe the implementation and application of real-time fMRI with particular emphasis on the self-regulation of local brain activity and the investigation of brain-function relationships. Real-time fMRI represents a promising new approach to cognitive neuroscience that could complement traditional neuroimaging techniques by providing more causal insights into the functional role of circumscribed brain regions in behavior.
引用
收藏
页码:487 / 501
页数:15
相关论文
共 103 条
[1]
Aguirre GK, 2000, MED RAD DIA IMG, P369
[2]
[Anonymous], 1989, Slow brain potentials and behavior
[3]
Estimation of general linear model coefficients for real-time application [J].
Bagarinao, E ;
Matsuo, K ;
Nakai, T ;
Sato, S .
NEUROIMAGE, 2003, 19 (02) :422-429
[4]
Barber T. X., 1971, BIOFEEDBACK SELF CON
[5]
SLOW POTENTIALS OF THE CEREBRAL-CORTEX AND BEHAVIOR [J].
BIRBAUMER, N ;
ELBERT, T ;
CANAVAN, AGM ;
ROCKSTROH, B .
PHYSIOLOGICAL REVIEWS, 1990, 70 (01) :1-41
[6]
Slow cortical potentials: Plasticity, operant control, and behavioral effects [J].
Birbaumer, N .
NEUROSCIENTIST, 1999, 5 (02) :74-78
[7]
Birbaumer N., 1979, Biofeedback and Self-regulation
[8]
Brain-computer interfaces: communication and restoration of movement in paralysis [J].
Birbaumer, Niels ;
Cohen, Leonardo G. .
JOURNAL OF PHYSIOLOGY-LONDON, 2007, 579 (03) :621-636
[9]
Separating respiratory-variation-related neuronal-activity-related fluctuations in fluctuations from fMRI [J].
Birn, RM ;
Diamond, JB ;
Smith, MA ;
Bandettini, PA .
NEUROIMAGE, 2006, 31 (04) :1536-1548
[10]
Bradley M. M., 2007, HDB EMOTION ELICITAT, P29, DOI DOI 10.1037/0021-9010.69.1.85