Craniocerebral trauma (CCT) is one of the leading causes of death and long-term loss of work capacity among the young population of both the Russian Federation and other countries. The development of adequate and reproducible models of CCT in laboratory animals and objective methods for assessing the extent of neurological impairments gives cause for optimism in seeking and studying new and effective neurorehabilitation approaches. The aim of the present work was to carry out a comparative cross-correlation and coherence analysis of electrocorticograms from presumptively healthy rats and animals subjected to CCT. After initial trepanning, open penetrating CCT was modeled by controlled cortical impacts applied to the motor cortex of the left hemisphere. Nichrome corticographic recording electrodes were implanted bilaterally in the primary and secondary motor cortex and in the primary somatosensory cortex (above the hippocampus). Electrocorticograms were recorded on days 3 and 7 after surgery in the home cage and in the resting state. Cross-correlation analysis consisted of computing the cross-correlation coefficient, the mean frequency, and the maximum span in the cross-correlation function. Mean coherence power levels for the δ, θ, α, and β rhythms were computed for pairs of leads. Unilateral traumatic damage to the motor cortex and underlying structures led to impairment to the operation of interhemisphere and intrahemisphere connections and these changes were seen not only in the impact area, but also in distant parts of the cortex on post-trauma days 3 and 7. These changes in ECoG cross-correlation and coherence parameters occurring in rats as a result of CCT were similar to those seen in patients in clinical practice, so it can be suggested that this experimental model can be used for neurophysiological and pharmacological research.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
J. D. Corrigan, A. W. Selassie, and J. A. Orman, “The epidemiology of traumatic brain injury,” J. Head Trauma Rehabil., 25, No. 2, 72–80 (2010).
Severe Craniocerebral Trauma. Clinical Guidelines, Russian association of Neurosurgeons, (2017).
A. A. Potapov, V. V. Krylov, A. G. Gavrilov, et al., “Guidelines for the diagnosis and treatment of severe craniocerebral trauma. Part 2. Intensive therapy and neuromonitoring,” Vopr. Neirokhirurg., 1, 98–106 (2016).
N. K. Isaev, S. V. Novikova, E. V. Stelmashook, et al., “Mitochondriatargeted plastoquinone antioxidant skqr1 decreases trauma-induced neurological deficit in rat,” Biochemistry (Mosc.), 77, No. 9, 996–999 (2012).
Yu. I. Sysoev, S. V. Okovityi, and B. Uzuegbunam, “Effects of a new diethylaminoethanol derivative on the severity of neurological deficit in rats after craniocerebral trauma,” Biomeditsina, 14, No. 2, 95–105 (2018)
Yu. I. Sysoev, S. G. Dagaev, L. G. Kubarskaya, et al., “Neuroprotective activity of the α1-adrenoceptor agonist mafedine in a model of craniocerebral trauma in rats,” Biomeditsina, 15, No. 1, 62–77 (2019).
X. Chen, S. Wu, C. Chen, et al., “Omega-3 polyunsaturated fatty acid supplementation attenuates microglial-induced inflammation by inhibiting the HMGB1/TLR4/NF-κB pathway following experimental traumatic brain injury,” J. Neuroinflammation, 14, No. 1, 143 (2017).
S. F. Chen, C. W. Hsu, W. H. Huang, and J. Y. Wang, “Post-injury baicalein improves histological and functional outcomes and reduces inflammatory cytokines after experimental traumatic brain injury,” Br. J. Pharmacol., 155, No. 8, 1279–1296 (2008).
L. R. Zenkov, Clinical Electroencephalography (with elements of epileptology). Guidelines for Doctors, MEDpressinform, Moscow (2017), 8th ed.
S. M. Karpov and E. A. Sharai, “Electroencephalographic factors in children with various types of closed craniocerebral trauma,” Probl. Ekspertiz. Med., 8, No. 1, 15–17 (2008).
T. V. Avaliani, K. V. Konstantinov, V. V. Sizov, and S. G. Tsikunov, “Characteristics of the temporospatial organization of brain bioelectrical activity in the offspring of rats with lateralized brain injury,” Ros. Fiziol. Zh., 99, No. 10, 1149–1159 (2013).
D. S. Kalinina, A. B. Vol’nova, O. S. Alekseeva, and I. A. Zhuravin, “Electrical activity of the neocortex in adult rats after prenatal hypoxia and in a model of epilepsy,” Zh. Evolyuts. Biokhim. Fiziol., 52, No. 5, 321–327 (2016).
T. Costecalde, T. Aksenova, N. Torres-Martinez, et al., “A long-term BCI study with ECoG recordings in freely moving rats,” Neuromodulation, 21, No. 2, 149–159 (2018).
V. S. Rusinov, O. M. Grindel’, G. N. Boldyreva, and E. M. Vakar, Biopotentials in the Human Brain, Meditsina, Moscow (1987).
S. M. Bowyer, “Coherence: a measure of the brain networks: past and present,” Neuropsychiatr. Electrophysiol., 2, 1 (2016).
R. W. Thatchera, D. Northa, and C. Bivera, “EEG and intelligence: Relations between EEG coherence, EEG phase delay and power,” Clin. Neurophysiol., 116, No. 9, 2129–2141 (2005).
C. E. Dixon, G. L. Clifton, J. W. Lighthall, et al., “Controlled cortical impact model of traumatic brain injury in the rat,” J. Neurosci. Meth., 39, No. 3, 253–262 (1991).
G. Paxinos and C. Watson, The Rat Brain in Stereotaxic Coordinates, Academic Press (2013), 7th ed.
E. V. Sharova, M. V. Chelyapina, E. V. Korobkova, et al., “EEG correlates of the recovery of consciousness after severe craniocerebral trauma,” Vopr. Neurokhirurg., 1, 14–18 (2014).
A. V. Klimash, M. N. Tsitseroshin, A. N. Shepoval’nikov, et al., “Disorders of the spatiotemporal organization of brain bioelectrical activity in patients with different levels of depression of consciousness after severe head injury,” Fiziol. Cheloveka, 35, No. 5, 49–65 (2010).
M. I. Trifonov and E. A. Panasevich, “Methodological aspects of cross-correlation analysis,” Ros. Fiziol. Zh., 104, No. 7, 856–871 (2018).
Yu. I. Sysoev, K. A. Kroshkina, and S. V. Okovityi, “Characteristics of somatosensory event-related potentials in rats after traumatic brain injury,” Ros. Fiziol. Zh., 105, No. 6, 749–760 (2019).
A. N. Konovalov, L. B. Likhterman, and A. A. Potapov, Clinical Guidelines for Craniocerebral Trauma, Antidor, Moscow (1998), Vol. 1.
L. B. Likhterman, Craniocerebral Trauma. Diagnosis and Treatment, GEOTAR-Media, Moscow (2014).
F. Bareyre, F. Wahl, T. K. McIntosh, and J. M. Stutzmann, “Time course of cerebral edema after traumatic brain injury in rats: effects of riluzole and mannitol,” J. Neurotrauma, 14, No. 11, 839–849 (1997).
V. S. Rusinov, V. E. Maiorchik, and O. M. Grindel’, Clinical Electroencephalography, Meditsina, Moscow (1973).
R. A. Islamov, “Methodology for experiments using laboratory animals,” Vestn. Kaz. Nats. Med. Univ., 1, 489–492 (2016).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Rossiiskii Fiziologicheskii Zhurnal imeni I. M. Sechenova, Vol. 106, No. 3, pp. 315–328, March, 2020.
Rights and permissions
About this article
Cite this article
Sysoev, Y.I., Pyankova, V.A., Kroshkina, K.A. et al. Cross-Correlation and Coherence Analysis of Electrocortigrams in Rats Subjected to Craniocerebral Trauma. Neurosci Behav Physi 50, 1216–1223 (2020). https://doi.org/10.1007/s11055-020-01023-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11055-020-01023-9