Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/35743
Appears in Collections: | Psychology Journal Articles |
Peer Review Status: | Refereed |
Title: | Excitation-Inhibition Imbalance in Migraine: From Neurotransmitters to Brain Oscillations |
Author(s): | O’Hare, Louise Tarasi, Luca Asher, Jordi M Hibbard, Paul B Romei, Vincenzo |
Contact Email: | paul.hibbard@stir.ac.uk |
Keywords: | migraine dysrhythmia alpha gamma glutamate GABA computational models excitation-inhibition imbalance homeostatic mechanism |
Issue Date: | 13-Jun-2023 |
Date Deposited: | 13-Feb-2024 |
Citation: | O’Hare L, Tarasi L, Asher JM, Hibbard PB & Romei V (2023) Excitation-Inhibition Imbalance in Migraine: From Neurotransmitters to Brain Oscillations. <i>International Journal of Molecular Sciences</i>, 24 (12), Art. No.: 10093. https://doi.org/10.3390/ijms241210093 |
Abstract: | Migraine is among the most common and debilitating neurological disorders typically affecting people of working age. It is characterised by a unilateral, pulsating headache often associated with severe pain. Despite the intensive research, there is still little understanding of the pathophysiology of migraine. At the electrophysiological level, altered oscillatory parameters have been reported within the alpha and gamma bands. At the molecular level, altered glutamate and GABA concentrations have been reported. However, there has been little cross-talk between these lines of research. Thus, the relationship between oscillatory activity and neurotransmitter concentrations remains to be empirically traced. Importantly, how these indices link back to altered sensory processing has to be clearly established as yet. Accordingly, pharmacologic treatments have been mostly symptom-based, and yet sometimes proving ineffective in resolving pain or related issues. This review provides an integrative theoretical framework of excitation–inhibition imbalance for the understanding of current evidence and to address outstanding questions concerning the pathophysiology of migraine. We propose the use of computational modelling for the rigorous formulation of testable hypotheses on mechanisms of homeostatic imbalance and for the development of mechanism-based pharmacological treatments and neurostimulation interventions. |
DOI Link: | 10.3390/ijms241210093 |
Rights: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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ijms-24-10093.pdf | Fulltext - Published Version | 2.15 MB | Adobe PDF | View/Open |
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