Literature DB >> 18340496

Spectral and fractal analysis of cerebellar activity after single and repeated brain injury.

Sladjana Spasic1, Milka Culic, Gordana Grbic, Ljiljana Martac, Slobodan Sekulic, Dragosav Mutavdzic.   

Abstract

The cerebellum, even when not directly damaged, is potentially interesting for understanding the adaptive responses to brain injury. Cerebellar electrocortical activity (ECoG) in rats was studied using spectral and fractal analysis after single and repeated unilateral injury of the parietal cortex. Local field potentials of cerebellar paravermal cortex were recorded before brain injury, in the acute phase (up to 2.5 hours) after a first injury of anesthetized rats, and then before and after second, third, and, in some cases, fourth injury. Relative gamma power (32.1-128.0 Hz) and fractal dimension of ECoGs were temporarily increased after the first injury. However, there was a permanent mild increase in gamma activity and a mild increase in the fractal dimension of cerebellar activity as a chronic change after repeated remote brain injury. There was a negative linear correlation between the normalized difference in fractal dimensions and normalized difference in gamma powers of cerebellar activity only in the case of repeated brain injury. This is the first study showing that correlation between the parameters of spectral and fractal analyses of cerebellar activity can discriminate between single and repeated brain injuries, and is, therefore, a promising approach for identifying specific pathophysiological states.

Entities:  

Mesh:

Year:  2008        PMID: 18340496     DOI: 10.1007/s11538-008-9306-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  2 in total

1.  Neuronal dynamics enable the functional differentiation of resting state networks in the human brain.

Authors:  Marco Marino; Quanying Liu; Jessica Samogin; Franca Tecchio; Carlo Cottone; Dante Mantini; Camillo Porcaro
Journal:  Hum Brain Mapp       Date:  2018-11-15       Impact factor: 5.038

2.  Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI.

Authors:  Galina V Portnova; Alina Tetereva; Vladislav Balaev; Mikhail Atanov; Lyudmila Skiteva; Vadim Ushakov; Alexey Ivanitsky; Olga Martynova
Journal:  Front Hum Neurosci       Date:  2018-01-09       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.