title: Long duration stimuli and nonlinearities in the neural-haemodynamic coupling.
abstract: Recent studies have shown that the haemodynamic responses to brief (<2 secs) stimuli can be well characterised as a linear convolution of neural activity with a suitable haemodynamic impulse response. In this paper, we show that the linear convolution model cannot predict measurements of blood flow responses to stimuli of longer duration (>2 secs), regardless of the impulse response function chosen. Modifying the linear convolution scheme to a nonlinear convolution scheme was found to provide a good prediction of the observed data. Whereas several studies have found a nonlinear coupling between stimulus input and blood flow responses, the current modelling scheme uses neural activity as an input, and thus implies nonlinearity in the coupling between neural activity and blood flow responses. Neural activity was assessed by current source density analysis of depth-resolved evoked field potentials, while blood flow responses were measured using laser Doppler flowmetry. All measurements were made in rat whisker barrel cortex after electrical stimulation of the whisker pad for 1 to 16 secs at 5 Hz and 1.2 mA (individual pulse width 0.3 ms).
authors.affiliation: SPiNSN, Psychology Department, University of Sheffield, Sheffield, UK. a.j.martindale@sheffield.ac.uk
authors.forename: John
authors.initials: J
authors.lastname: Martindale
authors.forename: Jason
authors.initials: J
authors.lastname: Berwick
authors.forename: Chris
authors.initials: C
authors.lastname: Martin
authors.forename: Yazhuo
authors.initials: Y
authors.lastname: Kong
authors.forename: Ying
authors.initials: Y
authors.lastname: Zheng
authors.forename: John
authors.initials: J
authors.lastname: Mayhew
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000098:blood supply* / Q000502:physiology; D002560:Cerebrovascular Circulation / Q000502:physiology*; D004558:Electric Stimulation; D006439:Hemodynamics / Q000502:physiology*; D007091:Image Processing, Computer-Assisted; D017078:Laser-Doppler Flowmetry; D008959:Models, Neurological; D051381:Rats; D013997:Time Factors; D014738:Vibrissae / Q000294:innervation