Abstract

Background

Migraine affects a significant fraction of the world population, yet its etiology is not completely understood. In vitro results highlighted thalamocortical and intra-cortical glutamatergic synaptic gain-of-function associated with a monogenic form of migraine (familial-hemiplegic-migraine-type-1: FHM1). However, how these alterations reverberate on cortical activity remains unclear. As altered responsivity to visual stimuli and abnormal processing of visual sensory information are common hallmarks of migraine, herein we investigated the effects of FHM1-driven synaptic alterations in the visual cortex of awake mice.

Methods

We recorded extracellular field potentials from the primary visual cortex (V1) of head-fixed awake FHM1 knock-in (n = 12) and wild type (n = 12) mice in response to square-wave gratings with different visual contrasts. Additionally, we reproduced in silico the obtained experimental results with a novel spiking neurons network model of mouse V1, by implementing in the model both the synaptic alterations characterizing the FHM1 genetic mouse model adopted.

Results

FHM1 mice displayed similar amplitude but slower temporal evolution of visual evoked potentials. Visual contrast stimuli induced a lower increase of multi-unit activity in FHM1 mice, while the amount of information content about contrast level remained, however, similar to WT.

Spectral analysis of the local field potentials revealed an increase in the β/low γ range of WT mice following the abrupt reversal of contrast gratings. Such frequency range transitioned to the high γ range in FHM1 mice. Despite this change in the encoding channel, these oscillations preserved the amount of information conveyed about visual contrast. The computational model showed how these network effects may arise from a combination of changes in thalamocortical and intra-cortical synaptic transmission, with the former inducing a lower cortical activity and the latter inducing the higher frequencies ɣ oscillations.

Conclusions

Contrast-driven ɣ modulation in V1 activity occurs at a much higher frequency in FHM1. This is likely to play a role in the altered processing of visual information. Computational studies suggest that this shift is specifically due to enhanced cortical excitatory transmission. Our network model can help to shed light on the relationship between cellular and network levels of migraine neural alterations.

Details

Title
Synaptic alterations in visual cortex reshape contrast-dependent gamma oscillations and inhibition-excitation ratio in a genetic mouse model of migraine
Author
Meneghetti, Nicolò 1 ; Cerri, Chiara 2 ; Vannini, Eleonora 3 ; Tantillo, Elena 4 ; Tottene, Angelita 5 ; Pietrobon, Daniela 6 ; Caleo, Matteo 7 ; Mazzoni, Alberto 1 

 The Biorobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy (GRID:grid.263145.7) (ISNI:0000 0004 1762 600X); Department of Excellence for Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy (GRID:grid.263145.7) (ISNI:0000 0004 1762 600X) 
 Neuroscience Institute, National Research Council (CNR), Pisa, Italy (GRID:grid.418879.b) (ISNI:0000 0004 1758 9800); Fondazione Umberto Veronesi, Milan, Italy (GRID:grid.478935.4) (ISNI:0000 0000 9193 5936); University of Pisa, Department of Pharmacy, Pisa, Italy (GRID:grid.5395.a) (ISNI:0000 0004 1757 3729) 
 Neuroscience Institute, National Research Council (CNR), Pisa, Italy (GRID:grid.418879.b) (ISNI:0000 0004 1758 9800); Fondazione Umberto Veronesi, Milan, Italy (GRID:grid.478935.4) (ISNI:0000 0000 9193 5936) 
 Neuroscience Institute, National Research Council (CNR), Pisa, Italy (GRID:grid.418879.b) (ISNI:0000 0004 1758 9800); Fondazione Pisana per la Scienza Onlus (FPS), Pisa, Italy (GRID:grid.418879.b); Scuola Normale Superiore, Pisa, Italy (GRID:grid.6093.c) 
 University of Padova, Department of Biomedical Sciences, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470) 
 University of Padova, Department of Biomedical Sciences, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Padova Neuroscience Center, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); CNR Institute of Neuroscience, Padova, Italy (GRID:grid.418879.b) (ISNI:0000 0004 1758 9800) 
 Neuroscience Institute, National Research Council (CNR), Pisa, Italy (GRID:grid.418879.b) (ISNI:0000 0004 1758 9800); University of Padova, Department of Biomedical Sciences, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Padova Neuroscience Center, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
11292369
e-ISSN
11292377
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2719231184
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.