Real-time fMRI-based neurofeedback reinforces causality of attention networks

Neuroscience Research

Volumn 72, Issue 4, 2012, Pages 347-354

  Lee, Jong Hwan ^a   Kim, Junghoe ^a   Yoo, Seung Schik ^b  

^a Korea University   (South Korea)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Auditory attention; Effective connectivity; Functional MRI (fMRI); Granger causality; Neurofeedback; Real time fMRI

Indexed keywords

ADULT; ARTICLE; ATTENTION; BRAIN FUNCTION; CONTROLLED STUDY; EFFECTIVE CONNECTIVITY; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; MALE; NERVE CELL NETWORK; NEUROFEEDBACK; NEUROMODULATION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REAL TIME FUNCTIONAL MAGNETIC RESONANCE IMAGING; TASK PERFORMANCE;

ADULT; BRAIN; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET; NEUROFEEDBACK; YOUNG ADULT;

EID: 84862779855     PISSN: 01680102     EISSN: 18728111     Source Type: Journal    
DOI: 10.1016/j.neures.2012.01.002     Document Type: Article

References (30)

1. Abler B., Roebroeck A., Goebel R., Höse A., Schönfeldt-Lecuona C., Hole G., et al. Investigating directed influences between activated brain areas in a motor-response task using fMRI. Magn. Reson. Imaging 2006, 24:181-185.
2. Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 1995, 34:537-541.
3. Caria A., Veit R., Sitaram R., Lotze M., Weiskopf N., Grodd W., et al. Regulation of anterior insular cortex activity using real-time fMRI. Neuroimage 2007, 35:1238-1246.
4. Cavanna A.E., Trimble M.R. The precuneus: a review of its functional anatomy and behavioural correlates. Brain 2006, 129(Pt 3):564-583.
5. deCharms R.C., Maeda F., Glover G.H., Ludlow D., Pauly J.M., Soneji D., et al. Control over brain activation and pain learned by using realtime functional MRI. Proc. Natl. Acad. Sci. U.S.A. 2005, 102:18626-18631.
6. De Luca M., Smith S., De Stefano N., Federico A., Matthews P.M. Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system. Exp. Brain Res. 2005, 167:587-594.
7. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U.S.A. 2005, 102:9673-9678.
8. Friston K. Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain Mapp. 1994, 2:56-78.
9. Friston K. Causal modelling and brain connectivity in functional magnetic resonance imaging. PLoS Biol. 2009, 7:e33.
10. Friston K. Dynamic causal modeling and Granger causality comments on: the identification of interacting networks in the brain using fMRI: model selection, causality and deconvolution. Neuroimage 2011, 58(2):303-305.
11. Goebel R., Roebroeck A., Kim D.S., Formisano E. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn. Reson. Imaging 2003, 21:1251-1261.
12. Havlicek M., Jan J., Brazdil M., Calhoun V.D. Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data. Neuroimage 2010, 53(1):65-77.
13. Lee J.H., O'Leary H.M., Park H., Jolesz F.A., Yoo S.S. Atlas-based multichannel monitoring of functional MRI signals in real-time: automated approach. Hum. Brain Mapp. 2008, 29:157-166.
14. Lee J.H., Ryu J., Jolesz F.A., Cho Z.H., Yoo S.S. Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm. Neurosci. Lett. 2009, 450:1-6.
15. Londei A., D'Ausilio A., Basso D., Belardinelli M.O. A new method for detecting causality in fMRI data of cognitive processing. Cogn. Process. 2006, 7:42-52.
16. McKiernan K.A., Kaufman J.N., Kucera-Thompson J., Binder J.R. A parametric manipulation of factors affecting task-induced deactivation in functional neuroimaging. J. Cogn. Neurosci. 2003, 15:394-408.
17. Posse S., Fitzgerald D., Gao K., Habel U., Rosenberg D., Moore G.J., et al. Real-time fMRI of temporolimbic regions detects amygdala activation during single-trial self-induced sadness. Neuroimage 2003, 18:760-768.
18. Pugh K.R., Offywitz B.A., Shaywitz S.E., Fulbright R.K., Byrd D., Skudlarski P., et al. Auditory selective attention: an fMRI investigation. Neuroimage 1996, 4:159-173.
19. Ramsey J.D., Hanson S.J., Hanson C., Halchenko Y.O., Poldrack R.A., Glymour C. Six problems for causal inference from fMRI. Neuroimage 2010, 49(2):1545-1558.
20. Ray R., Loughead J., Wang Z., Detre J., Yang E., Gur R., Lerman C. Neuroimaging, genetics and the treatment of nicotine addiction. Behav. Brain Res. 2008, 193:159-169.
21. Roebroeck A., Formisano E., Goebel R. Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 2005, 25:230-242.
22. Roebroek A., Formisano E., Goebel R. The identification of interacting networks in the brain using fMRI: model selection, causality and deconvolution. Neuroimage 2011, 58(2):296-302.
23. Seth A.K. A MATLAB toolbox for Granger causal connectivity analysis. J. Neurosci. Methods 2010, 186:262-273.
24. Smith S.M., Miller K.L., Salimi-Khorshidi G., Webster M., Beckmann C.F., Nichols T.E., Ramsey J.D., Woolrich M.W. Network modelling methods for FMRI. Neuroimage 2011, 54(2):875-891.
25. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002, 15(1):273-289.
26. Valdes-Sosa P.A., Roebroeck A., Daunizeau J., Friston K. Effective connectivity: influence, causality and biophysical modeling. Neuroimage 2011, 58(2):339-361.
27. Wall P.M., Messier C. The hippocampal formation-orbitomedial prefrontal cortex circuit in the attentional control of active memory. Behav. Brain Res. 2001, 127(1-2):99-117.
28. Weiskopf N., Veit R., Erb M., Mathiak K., Grodd W., Goebel R., et al. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. Neuroimage 2003, 19:577-586.
29. Weissman D.H., Giesbrecht B., Song A.W., Mangun G.R., Woldorff M.G. Conflict monitoring in the human anterior cingulate cortex during selective attention to global and local object features. Neuroimage 2003, 19:1361-1368.
30. Yoo S.S., Lee J.H., O'Leary H., Lee V., Choo S.E., Jolesz F.A. Functional magnetic resonance imaging-mediated learning of increased activity in auditory areas. Neuroreport 2007, 18:1915-1920.