Biophysical models of fMRI responses.
Functional magnetic resonance imaging (fMRI) is used to investigate where the neural implementation of specific cognitive processes occurs. The standard approach uses linear convolution models that relate experimentally designed inputs, through a haemodynamic response function, to observed blood oxygen level dependent (BOLD) signals. Such models are, however, blind to the causal mechanisms that underlie observed BOLD responses. Recent developments have focused on how BOLD responses are generated and include biophysical input-state-output models with neural and haemodynamic state equations and models of functional integration that explain local dynamics through interactions with remote areas. Forward models with parameters at the neural level, such as dynamic causal modelling, combine both approaches, modelling the whole causal chain from external stimuli, via induced neural dynamics, to observed BOLD responses.
Stephan
Klaas E
KE
The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK. k.stephan@fil.ion.ucl.ac.uk
Harrison
Lee M
LM
Penny
Will D
WD
Friston
Karl J
KJ
D000818:Animals; D001703:Biophysics / Q000379:methods* / Q000639:trends; D001921:Brain / Q000033:anatomy & histology / Q000378:metabolism*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000639:trends; D008954:Models, Biological; D010100:Oxygen / Q000097:blood; D010101:Oxygen Consumption / Q000502:physiology
D010100:Oxygen