Fractal Analysis of EEG Signals in the Brain of Epileptic Rats, with and without Biocompatible Implanted Neuroreservoirs

被引:16
|
作者
Lopez, T. [1 ,2 ]
Martinez-Gonzalez, C. L. [3 ]
Manjarrez, J. [1 ]
Plascencia, N. [1 ]
Balankin, A. S. [1 ]
机构
[1] Natl Inst Neurol & Neurosurg MVS, Nanotechnol Mat Lab, Mexico City 14269, DF, Mexico
[2] Univ Autonoma Metropolitina, Mexico City 14387, DF, Mexico
[3] IPN, Mexico City 07738, DF, Mexico
来源
ELECTROMECHANICAL AND SYSTEMS ENGINEERING | 2009年 / 15卷
关键词
Epilepsy; EEG; fractal; kindling; sol-gel titania; nanomedicine; nanotechnology; SEIZURE PREDICTION; DRUG-DELIVERY; LONG;
D O I
10.4028/www.scientific.net/AMM.15.127
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Current epilepsy rates in Mexico are 4% (SERSAME-Health Ministry), of which 80% correspond to Temporal Lobe Epilepsy (TLE). Antiepileptic drug administration is systemic, meaning that 90% of the active agent is lost between administration and delivery to the epileptic focus in the brain. Severe toxic secondary effects may occur as a result. The present study is aimed at developing an alternative antiepileptic drug delivery system. In this study, a sol-gel nanostructured titania device, in which valproic acid (VPA) has been encapsulated. This is a nanoparticulate device, which is biocompatible with brain tissue. Stereotactic surgery was used to implant the reservoirs in the temporal lobe of Wistar rats, using chemical kindling, which was used to induce epilepsy. The reservoir was designed to release the drug at a constant rate over a period of at least one year. A functional study was performed on the efficiency of drug delivery in order to evaluate the effect on spontaneous and induced neuron electrical activity. A new discovery, which is presented here, shows that in the case of damaged brain tissue, as is the case in epilepsy, the accumulation of red globules, oxygen transportation results in the formation of calcium carbonate crystals which surround the epileptic focus. Because these crystals have a specific polarization, we propose to characterize their influence on the EEG using statistical methods. The electrical activity was measured by electroencephalography using 5 healthy rats without and 5 rats with an implanted VPA/device. Cerebral signals describe the complex behavior of the brain dynamics as a function of time. Fractal algorithms are sensitive to fluctuations and lead to the analysis and characterization of this kind of complex phenomena. A systematic study of these EEG's was made in order to observe the variation of signals during seizures and on the controlled rate of release of VPA. We have estimated the Hurst exponent (H) to measure long range-dependence. Preliminary results show that for the control group, signal behavior is persistent (H>0.5), while for the epileptic group antipersistency was observed (H<0.5), with variations due seizure stages. During the protection period using VPA, preliminary results show that values tend to reach original behavior, as the crisis is stabilized.
引用
收藏
页码:127 / +
页数:3
相关论文
共 50 条
  • [21] Phase Average Waveform Analysis of Different Leads in Epileptic EEG Signals
    Zhang, J. L.
    Jiang, N.
    Zhang, M. Y.
    Feng, Q. S.
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (08) : 1811 - 1815
  • [22] EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS
    Perez-Sanchez, Andrea V.
    Valtierra-Rodriguez, Martin
    Perez-Ramirez, Carlos A.
    De-Santiago-Perez, J. Jesus
    Amezquita-Sanchez, Juan P.
    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2022, 30 (07)
  • [23] Analysis of epileptic EEG signals by using dynamic mode decomposition and spectrum
    Cura, Ozlem Karabiber
    Akan, Aydin
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2021, 41 (01) : 28 - 44
  • [24] APPLICATION OF RECURRENCE QUANTIFICATION ANALYSIS FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS
    Acharya, U. Rajendra
    Sree, Vinitha S.
    Chattopadhyay, Subhagata
    Yu, Wenwei
    Alvin, Ang Peng Chuan
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2011, 21 (03) : 199 - 211
  • [25] Analysis of EEG Signals Under Flash Stimulation for Migraine and Epileptic Patients
    Akben, Selahaddin Batuhan
    Subasi, Abdulhamit
    Tuncel, Deniz
    JOURNAL OF MEDICAL SYSTEMS, 2011, 35 (03) : 437 - 443
  • [26] Stochastic relevance analysis of epileptic EEG signals for channel selection and classification
    Duque-Munoz, L.
    Guerrero-Mosquera, C.
    Castellanos-Dominguez, G.
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 2104 - 2107
  • [27] EEG-Brain Activity Monitoring and Predictive Analysis of Signals Using Artificial Neural Networks
    Aileni, Raluca Maria
    Pasca, Sever
    Florescu, Adriana
    SENSORS, 2020, 20 (12) : 1 - 21
  • [28] Analysis Methods of EEG Signals: A Review in EEG Application for Brain Disorder
    Abd Rahman, Faridah
    Othman, Mohd Fauzi
    Aimi, Nurul
    JURNAL TEKNOLOGI, 2015, 72 (02):
  • [29] Analysis of Fractal Dimension of EEG Signals Under Mobile Phone Radiation
    Smitha, C. K.
    Narayanan, N. K.
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, INFORMATICS, COMMUNICATION AND ENERGY SYSTEMS (SPICES), 2015,
  • [30] Epileptic Seizure Prediction using Power Analysis in Beta Band of EEG Signals
    Sharma, Aarti
    2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI), 2015,