Literature DB >> 11154103

Nonlinear analysis of brain activity in magnetic influenced Parkinson patients.

P A Anninos1, A V Adamopoulos, A Kotini, N Tsagas.   

Abstract

Magnetoencephalogram (MEG) recordings were obtained from the brain of patients suffering from Parkinson's disease (PD) using the Superconductive Quantum Interference Device (SQUID). For each patient the magnetic activity was recorded from a total of 64 points of the skull (32 points from each temporal lobe) as defined by a recording reference system, which is based on the 10-20 Electrode Placement System. Some of the recorded points were observed to exhibit abnormal rhythmic activity, characterized by high amplitudes and low frequencies. External magnetic stimulation (EMS) with intensity 1-7.5pT, and frequency the alpha-rhythm of the patient (8-13 Hz) was applied in the left-right temporal, frontal-occipital and vertex (2 minutes over each of the above regions) and the brain magnetic activity was recorded again. The application of the EMS resulted in rapid attenuation of the MEG activity of PD patients. Furthermore, chaotic dynamic methods were used, in order to estimate the correlation dimension D of the reconstructed phase spaces. The estimated values of D, in conjunction with the results derived from the other data analysis methods, strongly support the existence of low dimension chaotic structures in the dynamics of cortical activity of PD patients. In addition, the increased values of D of the MEG after the application of EMS when compared with the corresponding ones obtained from the MEGs prior to the EMS, suggest that the neural dynamics are strongly influenced by the application of EMS.

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Year:  2000        PMID: 11154103     DOI: 10.1023/a:1026611219551

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  5 in total

1.  A comparative study of a theoretical neural net model with MEG data from epileptic patients and normal individuals.

Authors:  A Kotini; P Anninos; A N Anastasiadis; D Tamiolakis
Journal:  Theor Biol Med Model       Date:  2005-09-07       Impact factor: 2.432

2.  Using Deep Learning for Task and Tremor Type Classification in People with Parkinson's Disease.

Authors:  Ghazal Farhani; Yue Zhou; Mary E Jenkins; Michael D Naish; Ana Luisa Trejos
Journal:  Sensors (Basel)       Date:  2022-09-27       Impact factor: 3.847

3.  Investigating neuromagnetic brain responses against chromatic flickering stimuli by wavelet entropies.

Authors:  Mayank Bhagat; Chitresh Bhushan; Goutam Saha; Shinsuke Shimjo; Katsumi Watanabe; Joydeep Bhattacharya
Journal:  PLoS One       Date:  2009-09-25       Impact factor: 3.240

4.  Fractality of sensations and the brain health: the theory linking neurodegenerative disorder with distortion of spatial and temporal scale-invariance and fractal complexity of the visible world.

Authors:  Marina V Zueva
Journal:  Front Aging Neurosci       Date:  2015-07-15       Impact factor: 5.750

5.  Neuromagnetic effects of pico-Tesla stimulation.

Authors:  Luzia Troebinger; Photios Anninos; Gareth Barnes
Journal:  Physiol Meas       Date:  2015-08-06       Impact factor: 2.833

  5 in total

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