Greater electroencephalographic coherence between left and right temporal lobe structures during increased geomagnetic activity

Saroka, Kevin S.; Caswell, Joseph M.; Lapointe, Andrew P.; Persinger, Michael A.

doi:10.1016/j.neulet.2013.11.024

Cited by 24 publications

(19 citation statements)

References 27 publications

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“…Furthermore, these techniques should be explored for a range of space weather events for which early warning applications may be relevant. Predictive modelling of space weather phenomena could be beneficial to a diverse array of research areas including microelectronic functioning [9], solar-geomagnetic [1] and interplanetary conditions [16], and even human biology [17].…”

Section: Discussionmentioning

confidence: 99%

Combination of Wavelet Analysis and Artificial Neural Networks Applied to Forecast of Daily Cosmic Ray Impulses

Caswell¹

2014

ILCPA

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Artificial neural network modelling has proven incredibly effective in an impressively wide range of scientific disciplines. The combination of these various methods with wavelet decomposition signal processing has similarly proven to be a powerful development for statistical forecasting of a number of environmental processes. Space weather modelling and prediction has often been applied to forecasting of solar activity and that of the planetary magnetic field. However, prediction of cosmic ray impulses has seen little development in the context of neural network modelling. In the present study, a combination of wavelet neural networks was adapted from previous research in order to predict daily average values of cosmic ray impulses 30 days in advance. Additional comparison of both neural network and linear regression modelling with and without wavelet decomposition was conducted for further demonstration of increased accuracy with wavelet neural networks in a simple input-output fitting model.

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Section: Discussionmentioning

confidence: 99%

Combination of Wavelet Analysis and Artificial Neural Networks Applied to Forecast of Daily Cosmic Ray Impulses

Caswell¹

2014

ILCPA

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“…That geomagnetic storms have been associated with a range of terrestrial effects [1][2][3][4] should warrant enhanced exploration and implementation of predictive models in this context. Furthermore, the current analyses also provide additional support to the integral role of interplanetary magnetic field (IMF) and solar wind (SW) variations in the production of geomagnetic storms.…”

Section: Discussionmentioning

confidence: 99%

“…It has also been shown that even small geomagnetic changes in the range of ~20-40 nT are associated with neuroelectrical perturbations which may produce altered states of consciousness [4], suggesting neural correlates of consciousness must therefore be examined within the context of extra-planetary forces. The prediction of geomagnetic disturbances has a range of implications for activity on Earth, with many previous statistical applications employed for this purpose [5][6].…”

Section: Introductionmentioning

confidence: 99%

Simple Binary Prediction of Daily Storm-Level Geomagnetic Activity with Solar Winds and Potential Relevance for Cerebral Function

Caswell¹,

Rouleau²

2014

ILCPA

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A number of previous studies have examined various statistical methods for the prediction of geomagnetic activity, particularly based on predictor input of solar wind variables. However, investigation of the potential for a simple binary prediction system based on either "quiet" or stormlevel activity of the planetary magnetic field has been severely lacking. The goals of the current analyses were to identify potential space weather models for the accurate prediction of geomagnetic storm events. Furthermore, while the deleterious or negative effects of increases in geomagnetic activity on a range of terrestrial systems have been focused on in the past, theoretical perspectives on the potential benefits of significantly increased geomagnetic perturbations are considered.

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“…Saroka et al [8] measured the electroencephalographic coherence between the left and right temporal lobes of 184 volunteers over a three year period while they sat within a quiet, darkened chamber. They found significantly increased coherence between the caudal temporal lobes for the 11 Hz band when the global geomagnetic activity increased above 8 to 10 nT.…”

Section: Introductionmentioning

confidence: 99%

Neural Tissues Filter Electromagnetic Fields: Investigating Regional Processing of Induced Current in Ex vivo Brain Specimens

Rouleau¹,

Persinger²

2017

Biol Med (Aligarh)

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As has been demonstrated experimentally, the living brain responds to pulsatile electromagnetic fields. Our aim was to investigate the capacities of ex vivo neural tissue to process and filter induced current generated by naturally occurring and laboratory-controlled electromagnetic fields. Microvolt potentials within the chemically fixed postmortem brains were collected throughout the field exposures. During strong geomagnetic storms there was a significant increase in power spectra within the 7.5 Hz to 14 Hz range within the right but not the left parahippocampal gyrus compared to days with relatively quiet geomagnetic activity. This finding indicated that ambient electromagnetic fluctuations from natural sources were processed differentially as a function of subsections of the postmortem tissue. Exposing a whole, fixed human brain to two physiologically patterned magnetic fields that have been associated with powerful subjective experiences reported by hundreds of human volunteers in the laboratory setting elicited increased power within the 7.5 Hz to 20 Hz range. The effects required 10 to 20 s to emerge and were primarily represented within tissue subsections of the right amygdala and orbitofrontal gyri. Other fields such as simple sine-wave (20 Hz) patterns of comparable intensity (2 to 10 μT) did not elicit the same configuration of changes. The results indicate that neural tissues filter electromagnetic fields non-randomly.

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Greater electroencephalographic coherence between left and right temporal lobe structures during increased geomagnetic activity

Cited by 24 publications

References 27 publications

Combination of Wavelet Analysis and Artificial Neural Networks Applied to Forecast of Daily Cosmic Ray Impulses

Combination of Wavelet Analysis and Artificial Neural Networks Applied to Forecast of Daily Cosmic Ray Impulses

Simple Binary Prediction of Daily Storm-Level Geomagnetic Activity with Solar Winds and Potential Relevance for Cerebral Function

Neural Tissues Filter Electromagnetic Fields: Investigating Regional Processing of Induced Current in Ex vivo Brain Specimens

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