Literature DB >> 15703699

Long duration stimuli and nonlinearities in the neural-haemodynamic coupling.

John Martindale1, Jason Berwick, Chris Martin, Yazhuo Kong, Ying Zheng, John Mayhew.   

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).

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Mesh:

Year:  2005        PMID: 15703699     DOI: 10.1038/sj.jcbfm.9600060

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  27 in total

1.  Nonlinearities in rapid event-related fMRI explained by stimulus scaling.

Authors:  Genevieve M Heckman; Seth E Bouvier; Valerie A Carr; Erin M Harley; Kristen S Cardinal; Stephen A Engel
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

2.  A novel method for integrating MEG and BOLD fMRI signals with the linear convolution model in human primary somatosensory cortex.

Authors:  Cathy Nangini; Fred Tam; Simon J Graham
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

3.  Fine detail of neurovascular coupling revealed by spatiotemporal analysis of the hemodynamic response to single whisker stimulation in rat barrel cortex.

Authors:  J Berwick; D Johnston; M Jones; J Martindale; C Martin; A J Kennerley; P Redgrave; J E W Mayhew
Journal:  J Neurophysiol       Date:  2007-11-28       Impact factor: 2.714

4.  The brain's hemodynamic response function rapidly changes under acute psychosocial stress in association with genetic and endocrine stress response markers.

Authors:  Immanuel G Elbau; Benedikt Brücklmeier; Manfred Uhr; Janine Arloth; Darina Czamara; Victor I Spoormaker; Michael Czisch; Klaas Enno Stephan; Elisabeth B Binder; Philipp G Sämann
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-10       Impact factor: 11.205

Review 5.  Binaural blood flow control by astrocytes: listening to synapses and the vasculature.

Authors:  Anusha Mishra
Journal:  J Physiol       Date:  2016-10-14       Impact factor: 5.182

Review 6.  Optical brain imaging in vivo: techniques and applications from animal to man.

Authors:  Elizabeth M C Hillman
Journal:  J Biomed Opt       Date:  2007 Sep-Oct       Impact factor: 3.170

7.  Motor behavior activates Bergmann glial networks.

Authors:  Axel Nimmerjahn; Eran A Mukamel; Mark J Schnitzer
Journal:  Neuron       Date:  2009-05-14       Impact factor: 17.173

8.  Oxidative neuroenergetics in event-related paradigms.

Authors:  Basavaraju G Sanganahalli; Peter Herman; Hal Blumenfeld; Fahmeed Hyder
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

9.  Study of neurovascular coupling in humans via simultaneous magnetoencephalography and diffuse optical imaging acquisition.

Authors:  Wanmei Ou; Ilkka Nissilä; Harsha Radhakrishnan; David A Boas; Matti S Hämäläinen; Maria Angela Franceschini
Journal:  Neuroimage       Date:  2009-03-12       Impact factor: 6.556

Review 10.  Coupling mechanism and significance of the BOLD signal: a status report.

Authors:  Elizabeth M C Hillman
Journal:  Annu Rev Neurosci       Date:  2014       Impact factor: 12.449

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