Causal modelling and brain connectivity in functional magnetic resonance imaging

PLoS Biology

Volumn 7, Issue 2, 2009, Pages 0220-0225

  Friston, Karl ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CAUSAL MODELING; COGNITION; CONCEPT ANALYSIS; ELECTROPHYSIOLOGY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; NERVE CELL NETWORK; NEUROIMAGING; NEUROMODULATION; NEUROPHYSIOLOGY; NONHUMAN; PERCEPTION; SHORT SURVEY; STIMULUS RESPONSE; VALIDATION PROCESS; VISUAL STIMULATION; ANIMAL; ANIMAL MODEL; BIOLOGICAL MODEL; BRAIN; HEMODYNAMICS; HISTOLOGY; METHODOLOGY; NOTE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; SYNAPTIC TRANSMISSION; VALIDATION STUDY;

ANIMALS; BRAIN; BRAIN MAPPING; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANIMAL; MODELS, NEUROLOGICAL; NERVE NET; SYNAPTIC TRANSMISSION;

EID: 61349120207     PISSN: 15449173     EISSN: 15457885     Source Type: Journal    
DOI: 10.1371/journal.pbio.1000033     Document Type: Short Survey

References (13)

1. David O, Guillemain I, Saillet S, Reyt S, Deransart C, et al. (2008) Identifying neural drivers with functional MRI:An electrophysiological validation. PLoS Biol 6(12):e315. doi:10.1371/journal.pbio.0060315
2. Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. Neuroimage 19:1273-1302.
3. Goebel R, Roebroeck A, Kim DS, Formisano E (2003) Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging 21:1251-1261.
4. Valdes-Sosa PA (2004) Spatio-temporal autoregressive models defined over brain manifolds. Neuroinformatics 2:239-250.
5. Harrison L, Penny WD, Friston K (2003) Multivariate autoregressive modeling of fMRI time series. Neuroimage 19:1477-1491.
6. Freiwald WA, Valdes P, Bosch J, Biscay R, Jimenez JC, et al. (1999) Testing nonlinearity and directedness of interactions between neural groups in the macaque inferotemporal cortex. J Neurosci Methods 94:105-119.
7. Roebroeck A, Formisano E, Goebel R (2005) Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 25:230-242.
8. Eichler M (2005) A graphical approach for evaluating effective connectivity in neural systems. Philos Trans R Soc Lond B Biol Sci 360:953-967.
9. Londei A, D'Ausilio A, Basso D, Belardinelli MO (2006) A new method for detecting causality in fMRI data of cognitive processing. Cogn Process 7:42-52.
10. Penny WD, Stephan KE, Mechelli A, Friston KJ (2004) Comparing dynamic causal models. Neuroimage 22:1157-1172.
11. Aalen OO, Frigessi A (2007) What can statistics contribute to a causal understanding? Scand J Statist 34:155-168.
12. David O, Kiebel SJ, Harrison LM, Mattout J, Kilner JM, et al. (2006) Dynamic causal modeling of evoked responses in EEG and MEG. Neuroimage 30:1255-1272.
13. Chang C, Thomason ME, Glover GH (2008) Mapping and correction of vascular hemodynamic latency in the BOLD signal. Neuroimage 43:90-102.