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Bioelectromagnetism
It is speculated that SR and ELF background felds played an important role in the evolution of biologi
cal systems and are used by them as a means of stochastic synchronization for various biorhythms (Cole
and Graf, 1974). Te SR frequencies are mainly controlled by the Earth’s radius, which has remained
constant over billions of years (Morente et al., 2003). Terefore, these frequencies can play a special role
for the regulatory pathways of living organisms, the SR providing a synchronization reference signal, a
Zeitgeber (time giver) (Cherry, 2002).
It has been clarifed that the frst SR frequency is 7.83 Hz, with a day/night variation of around
± 0.5 Hz (Sentman, 1995). Te higher frequencies are ~14, 20, 26, 33, 39, and 45 Hz due to frequency-
related, ionospheric propagation loss (Schumann, 1952; Bliokh et al., 1980; Sentman, 1995), all of which
closely overlay with α (8–12 Hz), β (12–30 Hz), and γ (30–100 Hz) brain waves (Cherry, 2002). Te similar
ity of the EEG with the SRs was recognized early on, and the ability of the EEG rhythm to synchronize
with SR activity was observed (König et al., 1981).
Altered EEG rhythms in response to changing the GMF have been observed with ELF magnetic oscil
lations (~3 Hz) having a sedative efect (Belov et al., 1998). It has also been demonstrated that autonomic
nervous system activity not only reacts to shif in the geomagnetic and solar activity, and it can also
synchronize with rhythms in the time-varying MFs related to the SR and the GMF-line resonances
(McCraty et al., 2017; Timofejeva et al., 2017). Te SR and the EEG have been examined in a group of
participants over 6 weeks, and it was found that the EEG changes during the daily cycle were similar to
variations in the SR (Pobachenko et al., 2006). Te highest correlations between SR and EEG were found
when the magnetic activity was increased. SR and EEG activities have also been studied in real-time
and it has been shown that many of the SR frequencies can be observed in the power spectrums of most
EEG activity (Saroka and Persinger, 2014; Persinger and Saroka, 2015). It has also been shown that the
spectral profles within the EEG activity displayed recurrent transient segments of real-time coherence
(synchronization) with the frst three resonant frequencies of the SR (7–8 Hz, 13–14 Hz, and 19–20 Hz).
Tese fndings suggest that under certain conditions variables afecting the SR parameters (such as solar
wind) may afect EEG activity, such as modifcations of perception and dream-related memory consoli
dation (Persinger and Saroka, 2015).
Hainsworth (1983) noted that the average frequency at which there is minimum power circulating in
the Earth-ionosphere cavity is the same frequency as the dominant human brain-wave rhythm—10.5 Hz.
Cannon and Rycrof (1982) and more recently Schlegel and Füllekrug (1999) reported the efects on SR
produced by ionospheric disturbances induced by solar activity. “Solar Proton Events (SPEs)” have been
found to decrease the frequency of the SR modes. Roldugin et al. (2001) found that, during the peak
of four SPEs, the frequency of the frst SR mode decreased by about 0.15 Hz, as measured in the Kola
Peninsula of Russia. Roldugin et al. (2001) also reported an increase in the frequency and a resonance
bandwidth decrease of about 0.2 Hz of the frst Schumann mode as a result of a very intense solar X-ray
burst. Any change in the SR signals due to ionospheric disturbances will be superposed on the diurnal
(i.e., circadian) variations due to solar heating and ionization on the dayside. As visual and auditory
stimulation produce biological efects, Hainsworth (1983) argued that EM signals at frequencies in the
brain wave spectrum can be expected to produce biological efects too. Hainsworth (1983) also argues
that the association with the human α-rhythm near 10 Hz with the frequency of minimum energy in the
SR spectrum and, therefore, of minimum natural interference is unlikely to be a coincidence.
Hainsworth (1983) suggested that other factors that could afect the apparent connection between
geophysical parameters and biological efects are links with geographical considerations. For instance,
wind eddies carrying ionized air can produce oscillatory signals in the range of 3–6 Hz. Tese could be
associated with thunderstorm activity or with winds such as the Fohn wind in Austria and could have
localized biological efects.
It has been shown that the intensity of the SR signals is afected by the air temperature. Williams (1992)
demonstrated a positive correlation between the monthly means of the tropical surface-air-temperature
anomaly and the MF amplitude for the fundamental SR mode. A 2 K change in temperature was shown