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Alterations in topology, cost and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury

Konstantinos Tsikonofilos, Michael Bruyns-Haylett, Hazel G. May, Cornelius K. Donat, View ORCID ProfileAndriy S. Kozlov
doi: https://doi.org/10.1101/2024.12.06.627187
Konstantinos Tsikonofilos
1Department of Bioengineering, Imperial College London, London, United Kingdom
2Departments of Neuroscience and Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Michael Bruyns-Haylett
1Department of Bioengineering, Imperial College London, London, United Kingdom
3Departments of Bioengineering and Quantitative Methods, Institut Quimic de Sarria, Universitat Ramon Llul, Barcelona, Spain
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Hazel G. May
4Department of Brain Sciences, Imperial College London, London, United Kingdom
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Cornelius K. Donat
4Department of Brain Sciences, Imperial College London, London, United Kingdom
5Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radio Pharmaceutical Cancer Research, Dresden, Germany
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Andriy S. Kozlov
1Department of Bioengineering, Imperial College London, London, United Kingdom
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  • ORCID record for Andriy S. Kozlov
  • For correspondence: a.kozlov{at}imperial.ac.uk
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Abstract

Traumatic brain injury is a major cause of disability leading to multiple sequelae in cognitive, sensory, and physical domains, including post-traumatic epilepsy. Despite extensive research, our understanding of its impact on macroscopic brain circuitry remains incomplete. We analyzed electrophysiological functional connectomes in the gamma band using a preclinical model of blast-induced traumatic brain injury over multiple time points after injury. We revealed differences in small-world propensity and rich-club structure compared to age-matched controls, indicating functional reorganization following injury. We further investigated cost-efficiency trade-offs, propose a computationally efficient normalization procedure for quantifying cost of spatially embedded networks that controls for connectivity strength differences, and suggest metabolic drivers as a candidate for the observed differences. Furthermore, we employed a brain-wide computational model of seizure dynamics and attribute brain reorganization to a homeostatic mechanism of activity regulation with the potential unintended consequence of driving generalized seizures. Finally, we demonstrated post-injury hyperexcitability that manifests as an increase in sound-evoked response amplitudes at the cortical level. Our work characterizes for the first time gamma-band functional network reorganization in a model of brain injury and proposes potential causes of these changes, thus identifying targets for future therapeutic interventions.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 12, 2024.
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Alterations in topology, cost and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury
Konstantinos Tsikonofilos, Michael Bruyns-Haylett, Hazel G. May, Cornelius K. Donat, Andriy S. Kozlov
bioRxiv 2024.12.06.627187; doi: https://doi.org/10.1101/2024.12.06.627187
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Alterations in topology, cost and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury
Konstantinos Tsikonofilos, Michael Bruyns-Haylett, Hazel G. May, Cornelius K. Donat, Andriy S. Kozlov
bioRxiv 2024.12.06.627187; doi: https://doi.org/10.1101/2024.12.06.627187

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