Literature DB >> 25719306

How does spreading depression spread? Physiology and modeling.

Bas-jan Zandt, Bennie ten Haken, Michel J A M van Putten, Markus A Dahlem.   

Abstract

Spreading depression (SD) is a wave phenomenon in gray matter tissue. Locally, it is characterized by massive redistribution of ions across cell membranes. As a consequence, there is sustained membrane depolarization and tissue polarization that depress any normal electrical activity. Despite these dramatic events, SD remains difficult to observe in humans noninvasively, which, for long, has slowed advances in this field. The growing appreciation of its clinical importance in migraine and stroke is therefore consistent with an increasing need for computational methods that tackle the complexity of the problem at multiple levels. In this review, we focus on mathematical tools to investigate the question of spread and its two complementary aspects: What are the physiological mechanisms and what is the spatial extent of SD in the cortex? This review discusses two types of models used to study these two questions, namely, Hodgkin-Huxley type and generic activator-inhibitor models, and the recent advances in techniques to link them.

Entities:  

Mesh:

Year:  2015        PMID: 25719306     DOI: 10.1515/revneuro-2014-0069

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  11 in total

1.  Modeling cortical spreading depression induced by the hyperactivity of interneurons.

Authors:  Mathieu Desroches; Olivier Faugeras; Martin Krupa; Massimo Mantegazza
Journal:  J Comput Neurosci       Date:  2019-10-17       Impact factor: 1.621

2.  An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations.

Authors:  Alireza Chamanzar; Shilpa George; Praveen Venkatesh; Maysamreza Chamanzar; Lori Shutter; Jonathan Elmer; Pulkit Grover
Journal:  IEEE Trans Biomed Eng       Date:  2018-08-24       Impact factor: 4.538

3.  Heterogeneous propagation of spreading depolarizations in the lissencephalic and gyrencephalic brain.

Authors:  Edgar Santos; Renán Sánchez-Porras; Oliver W Sakowitz; Jens P Dreier; Markus A Dahlem
Journal:  J Cereb Blood Flow Metab       Date:  2017-01-01       Impact factor: 6.200

4.  Interneuronal dynamics facilitate the initiation of spike block in cortical microcircuits.

Authors:  Wolfgang Stein; Allison L Harris
Journal:  J Comput Neurosci       Date:  2022-04-19       Impact factor: 1.453

5.  Cortical hot spots and labyrinths: why cortical neuromodulation for episodic migraine with aura should be personalized.

Authors:  Markus A Dahlem; Bernd Schmidt; Ingo Bojak; Sebastian Boie; Frederike Kneer; Nouchine Hadjikhani; Jürgen Kurths
Journal:  Front Comput Neurosci       Date:  2015-03-05       Impact factor: 2.380

Review 6.  Understanding Spreading Depression from Headache to Sudden Unexpected Death.

Authors:  Olga Cozzolino; Maria Marchese; Francesco Trovato; Enrico Pracucci; Gian Michele Ratto; Maria Gabriella Buzzi; Federico Sicca; Filippo M Santorelli
Journal:  Front Neurol       Date:  2018-02-01       Impact factor: 4.003

7.  Detecting Cortical Spreading Depolarization with Full Band Scalp Electroencephalography: An Illusion?

Authors:  Jeannette Hofmeijer; C R van Kaam; Babette van de Werff; Sarah E Vermeer; Marleen C Tjepkema-Cloostermans; Michel J A M van Putten
Journal:  Front Neurol       Date:  2018-01-25       Impact factor: 4.003

8.  An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms.

Authors:  Marte J Sætra; Gaute T Einevoll; Geir Halnes
Journal:  PLoS Comput Biol       Date:  2020-04-29       Impact factor: 4.475

9.  Multistability in Large Scale Models of Brain Activity.

Authors:  Mathieu Golos; Viktor Jirsa; Emmanuel Daucé
Journal:  PLoS Comput Biol       Date:  2015-12-28       Impact factor: 4.475

10.  A computational study on the role of glutamate and NMDA receptors on cortical spreading depression using a multidomain electrodiffusion model.

Authors:  Austin Tuttle; Jorge Riera Diaz; Yoichiro Mori
Journal:  PLoS Comput Biol       Date:  2019-12-02       Impact factor: 4.475

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