EDITORIAL
ANESTHESIOLOGY, V 136 • NO 3 MARCH 2022 405
Image: J. P. Rathmell.
This editorial accompanies the article on p. 420.
Accepted for publication December 6, 2021. From the Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan
(G.A.M., U.L.); Central Clinical School, Sydney Medical School, University of Sydney, Camperdown, New South Wales, Australia (R.D.S.); and Department of Anesthetics and Institute
of Academic Surgery, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia (R.D.S.).
Copyright © 2022, the American Society of Anesthesiologists. All Rights Reserved. Anesthesiology 2022; 136:405–7. DOI: 10.1097/ALN.0000000000004110
Propofol Anesthesia: A Leap into the Void?
George A. Mashour, M.D., Ph.D., Robert D. Sanders, M.B.B.S., Ph.D., F.R.C.A., UnCheol Lee, Ph.D.
F
or the greater part of the 20th
century, research into the
mechanisms of general anesthe-
sia focused on biomolecular tar-
gets such as lipids and proteins. In
the mid-1990s, this approach was
complemented by emerging stud-
ies of anesthetic mechanisms based
on systems neuroscience, which
has thus far been a major focus
in the 21st century. This line of
investigation extends beyond the
molecular and biophysical focus
to the study of neural circuits
and the properties of large-scale
brain networks, as assessed, for
example, by functional magnetic
resonance imaging and electroen-
cephalography. For the past 15 yr,
neuroimaging and neurophysio-
logic data during anesthetic state
transitions have been increasingly
analyzed with measures of func-
tional connectivity (how activities
of diferent brain regions co-vary), directional or efective
connectivity (how activities in one brain region infu-
ence that of another), and global network properties (how
interconnected nodes behave in terms of overall efciency
and organization).
1
Despite remarkable progress, questions
remain, including how these various connectivity and net-
work properties unfold during the induction of general
anesthesia. Does the brain experience a smooth slide to the
depths of oblivion? Or is there a kind of quantum leap into
the void? In this issue of Anesthesiology, the study from
Pullon, Warnaby, and Sleigh helps address this very quan-
dary.
2
The investigators reanalyzed data from a study of 16
healthy human volunteers who underwent a slow induc-
tion of propofol anesthesia while multichannel electroen-
cephalography was recorded. Behavioral responsiveness was
assessed by a command and button-pressing; after general
anesthesia was established, passive emergence (rather than
a symmetrical down-titration of propofol) was permitted.
After the experiment, the inves-
tigators used the electroencepha-
lographic data to assess functional
connectivity, i.e., how the neuro-
physiologic activity around one
electrode relates to—or coheres
with—that of a more distant elec-
trode. By way of analogy, imagine
the three authors of this Editorial
singing in harmony. Our activity
(singing) would be functionally
connected (harmony) even if we
were not infuencing one another
directly because we were all read-
ing from a single musical score.
The investigators also measured
a surrogate of shared information
evident in the neurophysiologic
signal and they analyzed network
properties such as efciency and
clustering (i.e., how many of a
node’s connections have connec-
tions with each other, like a close-
knit group of friends). Finally, they
analyzed complexity in the neurophysiologic signal, refect-
ing the diversity of activity across the brain.To complement
these empirical studies, they also used a well-known com-
putational model of oscillatory activity to link their empir-
ical connectivity and complexity measures to an important
dynamic feature of networks known as criticality. Criticality
is when a system is poised on the boundary of order and
disorder. In neurobiological terms, the advantage of dancing
on this fne line is that the brain can fexibly respond to
incoming stimuli without being entrenched in any one set
of activities.
Although these analytic techniques have all been
employed before in the context of anesthetic state transi-
tions, what is new in the article from Pullon et al.
2
is the joint
consideration of these network properties in the context of
a slow, carefully controlled induction of propofol anesthe-
sia. The gradual ramp-up of propofol infusion is important
because a bolus dose would induce a rapid network change
“[In anesthesia] does the brain
experience a smooth slide to
the depths of oblivion? Or is
there a kind of quantum leap
into the void?”
Copyright © 2022, the American Society of Anesthesiologists. All Rights Reserved. Unauthorized reproduction of this article is prohibited.
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