Literature DB >> 20457851

Investigation of linear coupling between single-event blood flow responses and interictal discharges in a model of experimental epilepsy.

Ivo Vanzetta1, Corey Flynn, Anton I Ivanov, Christophe Bernard, Christian G Bénar.   

Abstract

A successful outcome of epilepsy neurosurgery relies on an accurate delineation of the epileptogenic region to be resected. Functional magnetic resonance imaging (fMRI) would allow doing this noninvasively at high spatial resolution. However, a clear, quantitative description of the relationship between hemodynamic changes and the underlying epileptiform neuronal activity is still missing, thereby preventing the systematic use of fMRI for routine epilepsy surgery planning. To this aim, we used a local epilepsy model to record simultaneously cerebral blood flow (CBF) with laser Doppler (LD) and local field potentials (LFP) in rat frontal cortex. CBF responses to individual interictal-like spikes were large and robust. Their amplitude correlated linearly with spike amplitude. Moreover, the CBF response added linearly in time over a large range of spiking rates. CBF responses could thus be predicted by a linear model of the kind currently used for the interpretation of fMRI data, but including also the spikes' amplitudes as additional information. Predicted and measured CBF responses matched accurately. For high spiking frequencies (above approximately 0.2 Hz), the responses saturated but could eventually recover, indicating the presence of multiple neurovascular coupling mechanisms, which might act at different spatiotemporal scales. Spatially, CBF responses peaked at the center of epileptic activity and displayed a spatial specificity at least as good as the millimeter. These results suggest that simultaneous electroencephalographic and blood flow-based fMRI recordings should be suitable for the noninvasive precise localization of hyperexcitable regions in epileptic patients candidate for neurosurgery.

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Year:  2010        PMID: 20457851     DOI: 10.1152/jn.01048.2009

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  8 in total

1.  Tissue hypoxia correlates with intensity of interictal spikes.

Authors:  Andrew S Geneslaw; Mingrui Zhao; Hongtao Ma; Theodore H Schwartz
Journal:  J Cereb Blood Flow Metab       Date:  2011-02-23       Impact factor: 6.200

2.  Effect of temperature on FAD and NADH-derived signals and neurometabolic coupling in the mouse auditory and motor cortex.

Authors:  Baher A Ibrahim; Huan Wang; Alexandria M H Lesicko; Bethany Bucci; Kush Paul; Daniel A Llano
Journal:  Pflugers Arch       Date:  2017-08-07       Impact factor: 3.657

3.  Interneurons contribute to the hemodynamic/metabolic response to epileptiform discharges.

Authors:  Sandrine Saillet; Pascale P Quilichini; Antoine Ghestem; Bernard Giusiano; Anton I Ivanov; Sebastian Hitziger; Ivo Vanzetta; Christophe Bernard; Christian-G Bénar
Journal:  J Neurophysiol       Date:  2015-12-23       Impact factor: 2.714

4.  A BOLD Assumption.

Authors:  Ivo Vanzetta; Hamutal Slovin
Journal:  Front Neuroenergetics       Date:  2010-08-05

5.  What Triggers the Interictal Epileptic Spike? A Multimodal Multiscale Analysis of the Dynamic of Synaptic and Non-synaptic Neuronal and Vascular Compartments Using Electrical and Optical Measurements.

Authors:  Cristian Arnal-Real; Mahdi Mahmoudzadeh; Mana Manoochehri; Mina Nourhashemi; Fabrice Wallois
Journal:  Front Neurol       Date:  2021-02-12       Impact factor: 4.003

6.  A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans.

Authors:  T Murta; L Hu; T M Tierney; U J Chaudhary; M C Walker; D W Carmichael; P Figueiredo; L Lemieux
Journal:  Neuroimage       Date:  2016-08-03       Impact factor: 6.556

7.  A novel dynamic network imaging analysis method reveals aging-related fragmentation of cortical networks in mouse.

Authors:  Daniel A Llano; Chihua Ma; Umberto Di Fabrizio; Aynaz Taheri; Kevin A Stebbings; Georgiy Yudintsev; Gang Xiao; Robert V Kenyon; Tanya Y Berger-Wolf
Journal:  Netw Neurosci       Date:  2021-06-21

8.  A New Computational Model for Neuro-Glio-Vascular Coupling: Astrocyte Activation Can Explain Cerebral Blood Flow Nonlinear Response to Interictal Events.

Authors:  Solenna Blanchard; Sandrine Saillet; Anton Ivanov; Pascal Benquet; Christian-George Bénar; Mélanie Pélégrini-Issac; Habib Benali; Fabrice Wendling
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

  8 in total

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