Reply to Friston and David. After comments on: The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution

NeuroImage

Volumn 58, Issue 2, 2011, Pages 310-311

  Roebroeck, Alard ^a   Formisano, Elia ^a   Goebel, Rainer ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTION; BRAIN REGION; CORRELATION COEFFICIENT; DYNAMIC CAUSAL MODELLING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; NERVE CELL NETWORK; NEUROIMAGING; NONLINEAR SYSTEM; NOTE; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS;

EID: 80051783686     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.10.077     Document Type: Note

References (3)

1. Deneux T., Faugeras O. Using nonlinear models in fMRI data analysis: model selection and activation detection. Neuroimage 2006, 32:1669-1689.
2. Smith, J.F., Pillai, A., Chen, K., Horwitz, B., (submitted for publication) Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems.
3. Valdes-Sosa P.A., Sanchez-Bornot J.M., Sotero R.C., Iturria-Medina Y., Aleman-Gomez Y., Bosch-Bayard J., Carbonell F., Ozaki T. Model driven EEG/fMRI fusion of brain oscillations. Hum. Brain Mapp. 2009, 30:2701-2721.