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Experiment
Model
a
c
Power spectrum
0
-6
b
= 1.77 (r= -0.8)
-2
b
= 1.79 (r= -0.98)
-8
-10
-4
-12
-6
-14
-8
-16
-2
-1
0
1
-2
-1
0
1
log Frequency
log Frequency
b
d
RDA
-0.8
D
=
1.
0
08
-0.8
D = 1.03 (r= -0.99)
-1.2
-1.2
-1.6
-1.6
D = 1.48
-2.0
-2.0
D = 1 - slope
-2.4
-2.4
-2.8
-0.5
0.0
0.5
1.0
1.5
2.0
0.0
0.4
0.8
1.2
1.6
2.0
log m
log m
Fig. 5.12 Experimental evidence and model simulation of the inverse power law behavior
observed after RDA or PSA of the fluorescence time series of TMRM. Mathematical procedures
and simulations were performed as described in Boxes
5.3
and
5.4
, and Fig.
5.11
RDA unveiled the existence of long-term temporal correlation (“memory”)
among oscillators in the network (Fig.
5.12
; see also Box
5.3
). This led us to
conclude that the behavior in the physiological domain is also oscillatory but
with low-amplitude high-frequency oscillations. These results also indicated that
the oscillators are weakly coupled by low levels of mitochondrial ROS in the high-
frequency domain. We considered the behavior under these conditions to belong to
the “physiological” state, because fluctuations at high-frequency (but restricted
amplitude) range imply depolarization only of between microvolts to a few
millivolts (Fig.
5.11
) (Aon et al.
2006b
). Decreasing mitochondrial ROS production
at the level of the respiratory chain, or blocking the ROS-induced ROS release
(R-IRR) mechanism by inhibiting the mitochondrial benzodiazepine receptor in the
physiological domain, consistently diminished the extent of correlated behavior of
the mitochondrial network in the high-frequency domain (Aon et al.
2006b
).
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