Literature DB >> 15091348

Linear and nonlinear relationships between neuronal activity, oxygen metabolism, and hemodynamic responses.

Sameer A Sheth1, Masahito Nemoto, Michael Guiou, Melissa Walker, Nader Pouratian, Arthur W Toga.   

Abstract

We investigated the relationship between neuronal activity, oxygen metabolism, and hemodynamic responses in rat somatosensory cortex with simultaneous optical intrinsic signal imaging and spectroscopy, laser Doppler flowmetry, and local field potential recordings. Changes in cerebral oxygen consumption increased linearly with synaptic activity but with a threshold effect consistent with the existence of a tissue oxygen buffer. Modeling analysis demonstrated that the coupling between neuronal activity and hemodynamic response magnitude may appear linear over a narrow range but incorporates nonlinear effects that are better described by a threshold or power law relationship. These results indicate that caution is required in the interpretation of perfusion-based indicators of brain activity, such as functional magnetic resonance imaging (fMRI), and may help to refine quantitative models of neurovascular coupling.

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Year:  2004        PMID: 15091348     DOI: 10.1016/s0896-6273(04)00221-1

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  111 in total

1.  Analysis of time and space invariance of BOLD responses in the rat visual system.

Authors:  Christopher J Bailey; Basavaraju G Sanganahalli; Peter Herman; Hal Blumenfeld; Albert Gjedde; Fahmeed Hyder
Journal:  Cereb Cortex       Date:  2012-01-31       Impact factor: 5.357

Review 2.  Frontiers in optical imaging of cerebral blood flow and metabolism.

Authors:  Anna Devor; Sava Sakadžić; Vivek J Srinivasan; Mohammad A Yaseen; Krystal Nizar; Payam A Saisan; Peifang Tian; Anders M Dale; Sergei A Vinogradov; Maria Angela Franceschini; David A Boas
Journal:  J Cereb Blood Flow Metab       Date:  2012-01-18       Impact factor: 6.200

Review 3.  Anesthesia and the quantitative evaluation of neurovascular coupling.

Authors:  Kazuto Masamoto; Iwao Kanno
Journal:  J Cereb Blood Flow Metab       Date:  2012-04-18       Impact factor: 6.200

4.  BOLD consistently matches electrophysiology in human sensorimotor cortex at increasing movement rates: a combined 7T fMRI and ECoG study on neurovascular coupling.

Authors:  Jeroen C W Siero; Dora Hermes; Hans Hoogduin; Peter R Luijten; Natalia Petridou; Nick F Ramsey
Journal:  J Cereb Blood Flow Metab       Date:  2013-06-26       Impact factor: 6.200

5.  Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity.

Authors:  Anna Devor; Istvan Ulbert; Andrew K Dunn; Suresh N Narayanan; Stephanie R Jones; Mark L Andermann; David A Boas; Anders M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-25       Impact factor: 11.205

6.  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

7.  Ultra high-resolution fMRI and electrophysiology of the rat primary somatosensory cortex.

Authors:  Yen-Yu Ian Shih; You-Yin Chen; Hsin-Yi Lai; Yu-Chieh Jill Kao; Bai-Chuang Shyu; Timothy Q Duong
Journal:  Neuroimage       Date:  2013-02-04       Impact factor: 6.556

8.  Temporal profiles and 2-dimensional oxy-, deoxy-, and total-hemoglobin somatosensory maps in rat versus mouse cortex.

Authors:  Neal Prakash; Jonathan D Biag; Sameer A Sheth; Satoshi Mitsuyama; Jeremy Theriot; Chaithanya Ramachandra; Arthur W Toga
Journal:  Neuroimage       Date:  2007-05-21       Impact factor: 6.556

Review 9.  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

Review 10.  Neural-metabolic coupling in the central visual pathway.

Authors:  Ralph D Freeman; Baowang Li
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-05       Impact factor: 6.237

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