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A circuit for pupil orienting responses: Implications for cognitive modulation of pupil size

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Pupil size, as a component of orienting, changes rapidly in response to local salient events in the environment, in addition to its well-known illumination-dependent modulation. Recent research has shown that visual, auditory, or audiovisual stimuli can elicit transient pupil dilation, and the timing and size of the evoked responses are systematically modulated by stimulus salience. Moreover, weak microstimulation of the superior colliculus (SC), a midbrain structure involved in eye movements and attention, evokes similar transient pupil dilation, suggesting that the SC coordinates the orienting response which includes transient pupil dilation. Projections from the SC to the pupil control circuitry provide a novel neural substrate underlying pupil modulation by various cognitive processes. Copyright © 2015. Published by Elsevier Ltd.
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A
circuit
for
pupil
orienting
responses:
implications
for
cognitive
modulation
of
pupil
size
Chin-An
Wang
and
Douglas
P
Munoz
Pupil
size,
as
a
component
of
orienting,
changes
rapidly
in
response
to
local
salient
events
in
the
environment,
in
addition
to
its
well-known
illumination-dependent
modulation.
Recent
research
has
shown
that
visual,
auditory,
or
audiovisual
stimuli
can
elicit
transient
pupil
dilation,
and
the
timing
and
size
of
the
evoked
responses
are
systematically
modulated
by
stimulus
salience.
Moreover,
weak
microstimulation
of
the
superior
colliculus
(SC),
a
midbrain
structure
involved
in
eye
movements
and
attention,
evokes
similar
transient
pupil
dilation,
suggesting
that
the
SC
coordinates
the
orienting
response
which
includes
transient
pupil
dilation.
Projections
from
the
SC
to
the
pupil
control
circuitry
provide
a
novel
neural
substrate
underlying
pupil
modulation
by
various
cognitive
processes.
Address
Centre
for
Neuroscience
Studies,
Queen’s
University,
Kingston,
Ontario,
Canada
Corresponding
author:
Munoz,
Douglas
P
(doug.munoz@queensu.ca)
Current
Opinion
in
Neurobiology
2015,
33:134140
This
review
comes
from
a
themed
issue
on
Motor
circuits
and
action
Edited
by
Ole
Kiehn
and
Mark
Churchland
http://dx.doi.org/10.1016/j.conb.2015.03.018
0959-4388/#
2015
Published
by
Elsevier
Ltd.
Introduction
Efficient
visual
coding
begins
in
the
eye.
Light
enters
the
eye
through,
and
is
controlled
by,
the
pupil.
The
pupil
constricts
in
response
to
an
increase
of
global
luminance
level,
which
is
typically
referred
to
as
the
pupillary
light
reflex,
and
it
dilates
for
a
global
luminance
decrease,
referred
to
as
the
darkness
reflex
[1].
The
quality
of
the
signal
projected
on
the
retina
is
already
under
the
control
of
this
simple
mechanism.
This
illumination-
dependent
pupil
modulation
is
well
understood,
and
thought
to
regulate
the
trade-off
between
sensitivity
and
sharpness
for
the
optimization
of
image
quality
[2,3].
Additionally,
pupil
dilation
has
been
linked
to
various
cognitive
processes
[4],
which
we
refer
to
as
cognition-related
pupil
responses.
Over
the
past
decade,
a
growing
body
of
research
has
used
pupil
size
to
investi-
gate
various
cognitive
processes,
demonstrating
correla-
tions
between
pupil
size
and
aspects
in
cognition
such
as
target
detection,
perception,
learning,
memory,
and
de-
cision
making
(e.g.
[512]).
Changes
in
pupil
size
have
also
been
associated
with
the
orienting
response
[13,14],
we
refer
to
these
responses
as
orienting-related
pupil
responses.
The
presentation
of
a
salient
stimulus
initiates
a
series
of
responses
to
orient
the
body
for
appropriate
action,
including
not
only
saccades
and
attentional
shifts
[15,16],
but
also
transient
pupil
dilation
[1,17
,18

,19
].
The
function
of
this
pupil
dila-
tion
is
thought
to
increase
visual
sensitivity
[13],
although
empirical
evidence
to
support
the
argument
is
lacking
[20].
The
superior
colliculus
(SC;
optic
tectum
in
non-
mammals),
one
of
most
important
structures
related
to
saccadic
eye
movements
and
spatial
attention
[21,22

],
may
also
play
a
central
role
in
coordinating
this
orienting-
related
pupil
response
[17
,18

,23,24

],
highlighting
a
novel
neural
substrate
to
possibly
coordinate
various
cognitive
processes
and
pupil
diameter.
Here,
we
review
the
evidence
supporting
the
link
of
the
SC
to
orienting-
related
pupil
responses,
focusing
on
recent
work
in
mon-
keys
and
humans.
Pupil
control
circuit
Pupil
size
is
controlled
by
the
balanced
activity
between
sympathetic
and
parasympathetic
pathways
(Figure
1)
that
have
been
identified
and
reviewed
in
detail
else-
where
[1,25].
Briefly,
in
the
parasympathetic
system,
reti-
nal
ganglion
cells
project
directly
to
the
pretectal
olivary
nucleus
(PON),
which
in
turn
projects
bilaterally
to
the
EdingerWestphal
(EW)
nucleus
[26].
Preganglionic
para-
sympathetic
neurons
in
the
EW
project
to
the
ciliary
ganglion
to
control
pupillary
constriction
muscles
of
the
iris
[1].
Pupil
size
is
also
controlled
by
the
dilator
muscle
that
is
innervated
by
sympathetic
nerves
from
the
superior
cervical
ganglion
(SCG),
which
is
driven
by
a
circuit
originating
in
the
hypothalamus
via
the
spinal
cord
[1,25].
Although
the
neural
substrate
mediating
cognitive
state
and
pupil
dilation
is
less
clear,
the
locus
coeruleus-nor-
epinephrine
system
(LC-NE)
is
regularly
implicated
[70].
Anatomically,
the
LC
has
efferent
projections
to
the
EW
nucleus
and
the
spinal
cord
[25]
to
connect
with
both
parasympathetic
and
sympathetic
pathways,
respectively
(Figure
1).
Furthermore,
the
LC
has
been
associated
with
many
functions
related
to
cognition,
arguably
via
arousal
mechanisms
[27
].
One
important
preliminary
study
has
reported
a
correlation
between
pupil
size
and
LC
activity
in
monkey
single
cell
recording
[28
].
In
humans,
drugs
assumed
to
alter
arousal
level
via
modulating
LC
activity
Available
online
at
www.sciencedirect.com
ScienceDirect
Current
Opinion
in
Neurobiology
2015,
33:134140
www.sciencedirect.com
also
change
pupil
size
accordingly
[29],
and
pupil
diame-
ter
is
linked
to
LC
activation
in
a
recent
fMRI
study
[30].
Behavioral
studies
have
shown
that
the
relationship
be-
tween
changes
in
pupil
size
and
task
performances
can
be
well
explained
by
assuming
that
pupil
size
reflects
LC
activity
[10,31,32].
Although
it
is
generally
accepted
that
pupil
size
is
modulated
by
activity
in
the
LC-NE
system
likely
via
changing
arousal
state,
there
is
likely
an
addi-
tional
pathway
that
also
mediates
cognition-related
pupil
responses.
The
superior
colliculus
(SC)
is
a
midbrain
structure
with
neurons
organized
into
a
retinotopically
coded
map
of
contralateral
visual
and
saccade
space.
The
SC
is
functionally
separated
into
superficial
visual-only
layers
(SCs)
that
receive
inputs
from
the
retina
and
visual
cortex,
and
intermediate
layers
(SCi)
that
receive
convergent
cognitive,
multi-sensory,
and
motor
inputs
[33,34].
Moreover,
the
SCi
projects
directly
to
the
brainstem
premotor
circuit
to
execute
orienting
responses.
An
increasing
number
of
studies
have
sug-
gested
that
the
SCi
encodes
both
stimulus
salience
and
relevance
to
coordinate
various
components
of
orienting
[35,36

,37,38],
including
not
only
shifts
of
gaze
and
attention,
but
also
pupil
dilation
[17
,18

,23,24

,39].
The
SC
has
direct
connections
to
the
pupil
pathways
(Figure
1).
The
SCs
projects
ipsilaterally
to
the
PON
[40].
The
SCi
receives
inputs
from
the
SCs,
frontal-parietal
areas,
and
the
basal
ganglia,
as
well
as
the
LC
[41].
The
SCi
projects
directly
and
indirectly
to
the
EW
[40,42,43],
possibly
activating
and
inhibiting
parasympathetic
path-
ways,
respectively.
The
SCi
could
modulate
the
sympa-
thetic
system
through
efferent
projections
to
the
mesencephalic
cuneiform
nucleus
(MCN)
[33,44,45],
a
brainstem
area
regulating
stress-related
and
defensive
responses
[46,47].
Stimulation
of
the
MCN
activates
sympathetic
vasomotor
outflow
[48],
including
modula-
tion
of
pupil
size
[1].
Therefore,
the
SC
has
the
necessary
connections
to
coordinate
orienting-related
pupil
responses
via
key
inputs
to
the
pupil
control
circuit.
Pupil
responses
to
salient
stimuli
Numerous
studies
have
identified
a
significant
effect
of
stimulus
saliency
on
shifts
of
gaze
and
attention
[15,16],
but
saliency
effects
on
the
orienting-related
pupil
response
are
less
understood.
Stimulus
contrast
is
one
of
the
most
primitive
saliency
components
[49],
and
has
been
imple-
mented
as
a
component
of
saliency
in
a
number
of
compu-
tational
models
[50].
Changing
the
contrast
of
a
target
has
dramatic
effects
on
sensory
responses
in
the
SCi
and
ensuing
saccadic
reaction
times
(SRT),
with
faster
and
greater
SCi
activity
and
faster
SRTs
for
higher
contrast
stimuli
[5153].
Moreover,
auditory
stimuli
tend
to
induce
faster,
but
smaller
sensory
responses
in
the
SCi
com-
pared
to
those
produced
with
visual
stimuli
(Figure
2a)
[54
].
If
transient
pupil
dilation
is
linked
to
saliency
via
the
SCi,
it
should
occur
regardless
of
stimulus
modality,
particularly
on
a
salient
non-visual
(i.e.,
auditory)
stim-
ulus,
and
the
magnitude
and
timing
of
evoked
pupil
responses
should
scale
with
the
level
of
stimulus
con-
trast.
Recent
studies
have
shown
that
pupil
responses
were
induced
by
presentation
of
visual
stimuli,
and
evoked
responses
were
qualitative
similar
to
those
evoked
by
auditory
stimuli
(Figure
2b)
[18

],
suggest-
ing
that
these
responses
are
dissociable
from
illumina-
tion-dependent
pupil
responses.
Most
importantly,
the
transient
pupil
responses
scaled
with
stimulus
contrast,
with
faster
and
greater
responses
for
higher
visual
stim-
ulus
contrast
and
louder
auditory
stimuli.
Additionally,
auditory
stimuli
evoked
faster
pupil
responses
compared
Pupil
orienting
circuit
Wang
and
Munoz
135
Figure
1
C
ONSTRICTION
D
ILATION
P
ARASYMPATHETIC
S
YMPATHETIC
V1
EXTRA-
STRIATE
T
HALAMUS
BG
R
ETINA
SCs
SCi
F
RONTAL
P
ARIETAL
SCG
S
PINAL
M
EDULLA
H
YPOTH
LC
CG
EW
PON
MCN
Current Opinion in Neurobiology
Schematic
of
the
pupil
orienting
circuit.
See
text
for
details.
Abbreviations:
BG,
basal
ganglia;
CG,
ciliary
ganglion;
EW,
Edinger
Westphal
nucleus;
Hypoth,
hypothalamus;
LC,
locus
coeruleus;
MCN,
mesencephalic
cuneiform
nucleus;
PON,
pretectal
olivary
nucleus;
SCi,
intermediate
layers
of
the
superior
colliculus;
SCs,
superficial
layers
of
the
superior
colliculus;
SCG,
superior
cervical
ganglion;
V1,
primary
visual
cortex.
www.sciencedirect.com
Current
Opinion
in
Neurobiology
2015,
33:134140
to
visual
stimuli,
consistent
with
modality
effects
observed
in
SCi
neuronal
activity
[54
].
Overall,
these
results
suggest
that
transient
pupil
dilation,
as
one
component
of
orienting,
is
modulated
by
stimulus
contrast,
likely
mediated
via
the
SCi.
Pupil
responses
to
multisensory
stimuli
Salient
visual
and
auditory
stimuli,
when
presented
alone,
elicit
transient
pupil
dilation.
This
raises
an
intriguing
question
of
how
salient
signals
from
the
different
modal-
ities
(i.e.,
visual
and
auditory)
are
combined
to
influence
pupil
dynamics.
One
hallmark
of
SCi
processing
is
mul-
tisensory
integration
[55].
If
the
orienting-related
pupil
responses
are
coordinated
by
the
SCi,
salient
stimuli
presented
from
different
modalities
should
be
integrated
in
the
SCi
to
produce
coordinated
pupil
responses.
Be-
cause
response
onset
latencies
evoked
by
auditory
sti-
muli
in
the
SCi
are
faster
than
those
evoked
by
visual
stimuli
(Figure
2a)
[54
],
the
earliest
component
of
pupil
responses
induced
by
audiovisual
stimuli
should
be
similar
to
that
induced
by
auditory
stimuli,
and
pupil
response
magnitude
should
be
enhanced
in
the
audiovi-
sual
condition.
Consistently,
the
presentation
of
com-
bined
visual
and
auditory
stimuli
induced
similar
pupil
responses
in
monkeys
(Figure
3a),
with
greater
response
magnitude,
compared
to
single
modality
presentation
[18

].
Moreover,
response
latencies
in
the
audiovisual
condition
were
similar
to
those
in
the
auditory
alone
condition,
but
faster
than
those
in
the
visual
alone
con-
dition,
again
suggesting
that
the
SCi
is
involved
in
integrating
multisensory
stimuli
for
orienting-related
pupil
responses.
Effects
of
pupil
responses
evoked
by
the
presentation
of
salient
stimuli
have
also
been
demonstrated
in
humans
and
again,
the
size
and
magnitude
of
evoked
pupil
responses
scaled
with
the
level
of
stimulus
contrast
[19
].
Faster
pupil
responses
were
induced
by
auditory,
compared
to
visual
stimuli
(Figure
3b),
and
audiovisual
stimuli
evoked
larger
pupil
response
magnitude,
com-
pared
to
visual
or
auditory
alone
stimuli
[56].
In
sum-
mary,
qualitatively
similar
pupil
modulations
have
been
observed
in
both
humans
and
monkeys
(Figure
3).
Pupil
responses
to
SC
microstimulation
Although
the
central
role
of
the
SCi
on
shifts
of
gaze
and
attention
is
well-established
[21,22

],
its
role
is
less
clear
on
other
components
of
orienting
such
as
pupil
dilation.
SCi
microstimulation
evokes
saccades
and
deactivation
of
the
SCi
interrupts
saccades
toward
the
affected
location
of
the
visual
field
[21].
Studies
exploring
SCi
microsti-
mulation
on
the
shift
of
attention
demonstrate
facilitative
effects
for
stimuli
presented
in
the
stimulated
location
of
the
visual
field
and
neurons
recorded
in
the
SCi
are
also
modulated
by
covert
shifts
of
attention
[22

].
Recently,
it
has
shown
that
deactivation
of
the
SCi
diminishes
covert
136
Motor
circuits
and
action
Figure
2
0 250 500 750 1000
−0.04
−0.02
0
0.02
0.04
Normalized pupil diameter (mm)
VisLow
VisHigh
AudLow
AudHigh
Time from stimulus onset (ms)
30 sp/s
0 250 500
Visual
Auditory
SCi activity
0
250
500 750 1000
0
0.02
0.04
Time from SCi microstimulation (ms)
SCi-stim
(c)
(b)
(a)
Normalized pupil diameter (mm)
Current Opinion in Neurobiology
Effect
of
contrast-based
saliency
modulation
and
SCi
microstimulation
on
transiently
evoked
pupil
responses.
(a)
Population
activity
recorded
from
the
monkey
SCi
following
the
presentation
of
visual
(red
trace)
or
auditory
(blue
trace)
stimuli
(adapted
with
permission
[54
]).
(b)
Normalized
pupil
responses
following
the
presentation
of
visual
or
auditory
stimuli
with
two
different
levels
of
stimulus
contrast
(high-
visual
and
low-visual
contrast
or
high-auditory
and
low-auditory
intensity)
(adapted
with
permission
[18

]).
(c)
Normalized
pupil
responses
following
SCi
microstimulation
(adapted
with
permission
[24

]).
Gray
bar
on
X-axis
indicates
the
time
line
of
stimulation
(a:
50
ms;
b
and
c:
100
ms).
VisHigh:
high
contrast
visual
stimulus;
VisLow:
low
contrast
visual
stimulus;
AudHigh:
high
auditory
intensity
stimulus;
AudLow:
low
auditory
intensity
stimulus;
SCi:
intermediate
layers
of
the
superior
colliculus.
Current
Opinion
in
Neurobiology
2015,
33:134140
www.sciencedirect.com
selection
of
task-required
information
on
the
affected
location
of
visual
field
[57],
establishing
a
causal
role
of
the
SC
on
attention.
Microstimulation
of
the
monkey
SCi,
subthreshold
for
saccade
initiation,
also
elicited
transient
pupil
dilation
(Figure
2c)
[24

].
Similar
pupil
dilation
was
also
evoked
by
microstimulation
in
the
deep
layers
of
the
optic
tectum
in
anesthetised
barn
owls
[17
].
Given
that
pupil
dilation
was
not
evoked
by
weak
microstimulation
of
the
SCs
[24

],
projections
from
the
SCi
to
the
EW
and
MCN
may
underlie
this
pupil
response
by
either
inhi-
biting
the
parasympathetic
pathway,
activating
the
sympathetic
pathway,
or
both.
Moreover,
the
pupil
response
latency
and
magnitude
evoked
by
SCi
stimu-
lation
was
similar
to
that
induced
by
salient
auditory
and
visual
stimuli
(compare
Figure
2b
and
c).
Although
there
were
differences
in
the
sustained
portion
of
the
pupil
response
between
salient
stimulus
presentation
versus
SCi
microstimulation,
the
initial
increase
of
pupil
dilation
was
comparable
and
in
line
with
the
suggested
role
of
the
SCi
in
driving
the
initial
orienting
response.
These
results
also
raise
one
intriguing
possibility
that
pupil
dilation
evoked
by
SCi
microstimulation
may
contribute
to
some
facilitative
effects
in
behavior.
How-
ever,
future
research
is
required
to
address
this
question
in
detail.
Modulation
of
pupil
responses
by
saccade
preparation
Pupil
responses
are
also
modulated
by
top-down
process-
es
[4],
and
some
of
these
modulations
may
be
associated
with
SC-mediated
pupil
pathways.
The
anti-saccade
task
is
frequently
used
to
examine
voluntary
control
because
subjects
are
instructed
prior
to
stimulus
appearance
to
either
generate
a
pro-saccade
(look
at
a
peripheral
stimu-
lus)
or
an
anti-saccade
(look
in
the
opposite
direction
of
the
stimulus).
Unlike
the
automatic
visuomotor
response
required
in
the
pro-saccade
condition,
to
complete
an
anti-saccade,
subjects
must
suppress
the
automatic
sac-
cade
and
generate
a
voluntary
response
in
the
opposite
direction
of
the
stimulus.
Distinct
neural
preparatory
activity
is
required
to
successfully
generate
pro-saccade
versus
anti-saccade
[58],
particularly
in
the
SC
and
frontal
eye
field
(FEF),
with
higher
inhibition-related
fixation
activity
(rostral
SC)
in
preparation
for
anti-saccade
com-
pared
to
pro-saccade.
Moreover,
the
level
of
preparatory
activity
(caudal
SC)
related
to
motor
preparation
negatively
correlated
with
SRTs
[59,60].
Similarly,
in
human
func-
tional
magnetic
resonance
imaging
studies,
there
is
higher
FEF
activation
during
preparation
for
anti-saccades
com-
pared
to
pro-saccades
[6163],
and
this
preparatory
activity
in
the
FEF
negatively
correlates
with
SRTs
[64,65].
Because
pupil
dilation
is
evoked
by
microstimulation
of
both
rostral
and
caudal
SC
[24

],
pupil
size
should
reflect
both
types
of
preparatory
activity.
Consistently,
human
pupil
size
was
larger
in
preparation
for
correct
anti-
saccades,
compared
to
correct
pro-saccades
and
errone-
ous
pro-saccades
made
in
the
anti-saccade
condition
(Figure
4a
and
b)
[66
].
Furthermore,
larger
pupil
dila-
tion
prior
to
stimulus
appearance
accompanied
saccades
with
faster
reaction
times
(Figure
4c
and
d),
together
suggesting
that
pupil
size
is
an
effective
proxy
of
neural
activity
related
to
preparation
of
pro-saccade
and
anti-
saccade.
Pupil
orienting
circuit
Wang
and
Munoz
137
Figure
3
0 500 1000
−0.05
0
0.05
Time from stimulus onset (ms)
Normalized pupil diameter (mm)
0 500 1000 1500 2000
0
0.04
0.08 Auditory
Visual
Audiovisual
Auditory
Visual
Audiovisual
(a) (b)
Current Opinion in Neurobiology
Monkey Human
Multisensory
integration
of
orienting-related
pupil
responses.
(a)
Monkey
transient
pupil
responses
evoked
by
presentation
of
visual-alone
(red
traces),
auditory-alone
(blue
traces),
or
combined
audiovisual
stimulus
(purple
traces)
(adapted
with
permission
[18

]).
(b)
Human
transient
pupil
responses
evoked
by
presentation
of
visual-alone,
auditory-alone,
audiovisual
stimulus.
Gray
bar
on
X-axis
indicates
the
time
line
of
stimulation
(100
ms).
www.sciencedirect.com
Current
Opinion
in
Neurobiology
2015,
33:134140
Conclusions
and
clinical
applications
The
orienting-related
pupil
response
has
the
potential
to
be
used
as
a
biomarker
for
clinical
investigation
because
of
the
proposed
link
of
top-down
processes
in
the
frontoparietal
cortex
and
basal
ganglia
to
the
pupil
control
circuit
via
the
SCi
(Figure
1).
We
propose
that
dysfunction
in
the
fronto-
parietal
cortex
and
basal
ganglia
can
lead
to
altered
pupil
responses
in
cognitive
tasks.
For
example,
the
ability
to
recognize
stimulus
saliency
is
impaired
among
patients
with
neurological
disorders
[67]
and
these
effects
could
be
medi-
ated
via
the
SCi.
It
has
been
suggested
that
low
salient
stimuli
could
induce
maximal
dopamine
released
as
high
salient
stimuli
in
schizophrenia
[68].
Therefore,
modulations
of
stimulus
salience
on
pupil
size
should
be
greatly
reduced
in
schizophrenia.
Because
autism
participants
show
less
interesting
to
eye-face
stimuli
[69],
pupil
responses
induced
by
the
presentation
of
eye-face
stimuli
should
also
be
attenuated
accordingly.
A
simple
orienting
task
requiring
no
saccadic
eye
movements
could
easily
be
completed
by
young
children
and
more
severely
affected
patients,
and
could
be
helpful
for
diagnoses
of
such
disorders.
The
SCi
receives
multisensory-related,
arousal-related,
cognition-related
signals
from
cortical
and
subcortical
structures,
and
projects
directly
to
the
brainstem
premo-
tor
circuit
to
coordinate
the
orienting
response
(Figure
1).
We
reviewed
a
compelling
set
of
results,
showing
tran-
sient
pupil
dilation
evoked
by
both
salient
sensory
stimuli
(visual,
auditory,
and
audiovisual)
and
SCi
microstimula-
tion,
and
we
argue
for
a
key
role
of
the
SCi
in
coordinating
138
Motor
circuits
and
action
Figure
4
0.03
0.04
0.05
−400 −200 0 90
0
0.04
0.08
Time from stimulus onset (ms)
Change in pupil diameter (mm)
Pro Anti Anti-Error
−400 −200 090
0
0.04
0.08
Express Pro
Regular-latency Pro
Time from stimulus onset (ms)
−400 −200 0 90
0
0.04
0.08
Short-latency Anti
Long-latency Anti
(b)
(a)
(d)
(c)
Current Opinion in Neurobiology
Effects
of
saccade
preparation
on
pupil
size
(adapted
with
permission
[66
].
(a)
Change
in
pupil
diameter
for
correct
pro-saccade
and
anti-
saccade
trials
before
stimulus
appearance.
(b)
Pupil
dilation
size
(50
ms
before
to
stimulus
presentation)
among
trials
with
correct
pro-saccade,
correct
anti-saccade,
or
erroneous
anti-saccade.
(c)
Pupil
response
for
correct
short-latency
express
and
regular-latency
pro-saccades
prior
to
stimulus
appearance.
(d)
Pupil
response
for
correct
short-
and
long-latency
anti-saccades
prior
to
stimulus
appearance.
In
(a,
c,
d),
the
shaded
colored
regions
surrounding
the
pupillary
response
represent
standard
error
range
(across
participants)
for
different
conditions.
In
(b),
the
error-
bar
represents
standard
error
across
participants.
Pro:
correct
pro-saccade
trials;
Anti:
correct
anti-saccade
trials;
Anti-error:
erroneous
anti-
saccade
trials.
Current
Opinion
in
Neurobiology
2015,
33:134140
www.sciencedirect.com
the
orienting-related
pupil
response.
Moreover,
pupil
size
was
modulated
by
preparatory
activity
related
to
saccade
generation
(top-down
signal).
The
SCi
is
a
key
locus
for
convergence
of
bottom-up
sensory
information
and
top-
down
goal-directed
signals
that
are
critical
for
orienting
[36

,37].
The
SC-mediated
pupil
pathways
could
pro-
vide
the
substrate
required
for
pupil
size
modulation
by
various
cognitive
processes.
Conflict
of
interest
statement
Nothing
declared.
Acknowledgements
This
work
was
supported
by
Canadian
Institutes
of
Health
Research
Grant
(MOP-136972).
D.P.M.
was
supported
by
the
Canada
Research
Chair
Program.
References
and
recommended
reading
Papers
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within
the
period
of
review,
have
been
highlighted
as:
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coordinates
various
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response,
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saccadic
eye
movements,
neck
and
limb
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and
micro-
saccade,
highlighting
potential
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www.sciencedirect.com
... For complementary overviews that provide more in-depth coverage of individual topics mentioned here, the reader is referred elsewhere. 24,[26][27][28][29][30][31][32][33][34] ...
... Perhaps, another region altogether is involved-SC has been suggested as a mediator of pupil dilation during the orienting response. 32 Additionally, the baseline pupil-linked arousal state may influence the orienting response latency and amplitude, and this may be carried by the other neuromodulators. Another question is whether there is also an orienting response (in terms of a physiological change) for a latent variable within salience, such as expectancy of a salient stimulus or volatility/uncertainty of an environment. ...
... Within the past twenty years, many disciplines including psychophysics, cognitive psychology, and cognitive neuroscience adopted pupillometry as a go-to tool. The promise of this technique was that non-invasive measurement of the surface of the eye could yield a proxy measure of brain activity within noradrenergic brainstem nuclei such as the locus coeruleus (LC) that modulate tonic and phasic arousal (Aston-Jones & Cohen, 2005;Gilzenrat et al., 2010;Mathôt, 2018;Wang & Munoz, 2015). Coupling between the pupil and LC has previously been demonstrated within macaque using combinations of both invasive and non-invasive neurophysiological recording techniques (Aston-Jones & Cohen, 2005;Joshi et al., 2016). ...
... One advantage that pupillometry researchers have is that the pupil's approximate dynamic range has known anatomical constraints. The human pupil diameter varies between approximately 2.0 mm and 9.0 mm in extremely bright and dark lighting conditions (Loewenfeld & Lowenstein, 1993;Wang & Munoz, 2015). Observations falling outside of this dynamic range are anatomically impossible and must, therefore, reflect artifact. ...
Chapter
Full-text available
The human pupil dilates almost imperceptibly in tandem with rising cognitive demands. These perturbations in pupillary surface area can yield a sensitive index of physiological arousal when time-locked to a controlled stimulus (e.g., listening for a target word). Cognitive pupillometry involves measurement of these response functions modulated by task (e.g., attention) rather than luminance. The popularity of cognitive pupillometry is growing exponentially due to the availability of low cost eyetracking systems and a variety of open source software packages. Researchers face numerous challenges in conducting a valid, replicable, and interpretable cognitive pupillometry study. This chapter provides an accessible introduction to some of the major considerations for design, execution, and analysis in cognitive pupillometry. Topics include artifact detection and correction procedures (e.g., blink detection, pupil foreshortening), mathematical approaches to baseline response scaling, and options for statistical analysis (e.g., growth curve modeling vs. ANOVA).
... Advancements in technology, particularly affordable eye trackers, have facilitated precise measurement of pupil dilation, offering enhanced temporal resolution and accuracy in detecting even subtle changes in pupil diameter [105,78]. The size of the human pupil typically ranges from approximately 2 to 8 mm in diameter [61,105]. ...
... Advancements in technology, particularly affordable eye trackers, have facilitated precise measurement of pupil dilation, offering enhanced temporal resolution and accuracy in detecting even subtle changes in pupil diameter [105,78]. The size of the human pupil typically ranges from approximately 2 to 8 mm in diameter [61,105]. In recent times, measuring pupil dilation has become comparatively straightforward. ...
... Dilations of the pupil are a readily assessable peripheral readout of phasic arousal responses and, potentially, experimental manipulations thereof. Non-luminance mediated variations of pupil size track the activity of the locus coeruleus, along with the activity of other subcortical nuclei involved in arousal, orienting, and alerting, such as the cholinergic basal forebrain, dopaminergic midbrain, and the superior and inferior colliculi (Breton-Provencher & Sur, 2019;de Gee et al., 2017;Joshi et al., 2016;Lloyd et al., 2023;Murphy et al., 2014;Varazzani et al., 2015;Wang & Munoz, 2015). Furthermore, the pupil transiently responds (dilates) time-locked to perceptual decisions (Beatty, 1982;Cheadle et al., 2014;Gilzenrat et al., 2010), with a time course that reflects the time course of decision formation (de Gee et al., 2017;de Gee et al., 2014). ...
... This idea relates to the conceptual distinction between arousing, alerting, and orienting (e.g. Berridge & Waterhouse, 2003;Poe et al., 2020;Wang & Munoz, 2015). For example, distinct functional processes have been postulated for executive, orienting, and alerting of attention (Posner & Boies, 1971;Raz & Buhle, 2006), whereby executive attention resembles the task recruitment we measured here, while alerting attention is a response to temporal cues, resembling our task-irrelevant sound. ...
Preprint
Full-text available
The arousal systems of the brainstem, specifically the locus coeruleus-noradrenaline system, respond “phasically” during decisions. These central arousal transients are accompanied by dilations of the pupil. Mechanistic attempts to understand the impact of phasic arousal on cognition would benefit from the ability to experimentally manipulate arousal in a temporally precise manner. Here, we evaluated a non-invasive candidate approach for such a manipulation in humans: presenting task-irrelevant auditory stimuli at different latencies during the execution of a challenging task. Task-irrelevant auditory stimuli drive responses of brainstem nuclei involved in the control of pupil size. But it is unknown whether such sound-evoked responses mimic the central arousal transients evoked during cognitive computations. A large body of evidence has implicated central arousal transients in a bias reduction during challenging perceptual decisions. We thus used challenging visual decisions as a testbed, combining them with task-irrelevant sounds of varying onset latency or duration. Across three experiments, the sounds consistently elicited well-controlled pupil responses that superimposed onto task-evoked responses. While we replicated a negative correlation between task-evoked pupil responses and bias established in previous work, the task-irrelevant sounds had no behavioral effect. This dissociation suggests that cognitive task engagement and task-irrelevant sounds may recruit distinct neural systems contributing to the control of pupil size.
... This system has been associated with vigilance, attention, arousal, and the sleep-wake cycle [13][14][15][16]. This activity is also associated with an increase in autonomic sympathetic nervous system activity and a decrease in parasympathetic nervous system activity [17][18][19], which is due to the multiple efferent projections of the system in the brain. In short, multiple psychophysiological markers of the hypovigilant state can be collected via proxy measures of the central nervous system and of the peripheral nervous system. ...
Preprint
Full-text available
BACKGROUND Delirium is a prevalent condition in intensive care units (ICUs), often leading to adverse outcomes. Hypoactive delirium is particularly difficult to detect. Despite advancements, timely identification of hypoactive delirium remains challenging due to its dynamic nature, lack of human resources, lack of reliable monitoring tools, and subtle clinical signs that include hypovigilance. Machine learning detection models could support the identification of hypoactive delirium episodes by better detecting episodes of hypovigilance. OBJECTIVE In this study, we aim to develop a machine learning algorithm capable of detecting hypovigilance events using routinely collected physiological data in the ICU. METHODS This derivation study used prospective observational data collected from eligible ICU patients in Lévis, Québec. We included patients admitted to the ICU between October 2021 and June 2022 who were at least 18 years old and had an anticipated ICU stay of at least 48 hours. ICU nurses identified hypovigilant states every hour using the Richmond Agitation and Sedation Scale (RASS) or the Ramsay Sedation Scale (RSS). Routine vital signs (heart rate, respiratory rate, blood pressure, and oxygen saturation), as well as other physiological and clinical variables (premature ventricular contractions, intubation, use of sedative medication, and fever), were automatically collected using a GE CARESCAPE Gateway or manually collected through chart review. Time series were generated around hypovigilance episodes for analysis. Random Forest, XGBoost, and LightGBM classifiers were then used to detect hypovigilant episodes on the basis of analyzing time series. Hyperparameter optimization was performed using random search in a 10-fold group cross-validation setup. We report the results of this study using the TRIPOD+AI guidelines and potential biases were assessed using PROBAST. RESULTS Out of 146 potentially eligible participants, data from 30 patients (mean age: 69 years old; 63% male) were collected for analysis. Of the group, 30% were admitted to the ICU for surgical reasons. Following data preprocessing, the study included 1,493 hypovigilance episodes and 764 non-hypovigilant episodes. Among the three sets of models evaluated, LightGBM demonstrated the best performance. It achieved an average accuracy of 68% to detect hypovigilant episodes, with a precision of 76%, a recall of 74%, an AUC of 60%, and an F1 score of 69%. Notably, the model was particularly influenced by intubation, respiratory rate, and systolic blood pressure acquired non-invasively. CONCLUSIONS All of the classifiers showed promising precision and recall, with slightly different yet comparable performance in classifying hypovigilant episodes. Machine learning algorithms designed to detect hypovigilance have the potential to support early detection of hypoactive delirium in ICU patients.
... As a consequence of these dichotomous circuits, publications fall into two categories: those concerned with pupillary dilation-mydriasis, mainly related to a sympathetic drive associated to cognitive functions-, and those focusing on pupillary constriction elicited by light-myosis, mainly involving the parasympathetic pathway-and mostly used in clinical studies to probe eye health. It is out of the scope of the present study to summarize the very numerous publications related to both fields, and several recent reviews are available to appreciate this renewed interest [4][5][6][7][8]. Table 1 presents the number of publications concerned with pupillary responses and diseases, illustrating the recent evolution of the field. ...
Article
Full-text available
We present a method for mapping multifocal Pupillary Response Fields in a short amount of time using a visual stimulus covering 40° of the visual angle divided into nine contiguous sectors simultaneously modulated in luminance at specific, incommensurate, temporal frequencies. We test this multifocal Pupillary Frequency Tagging (mPFT) approach with young healthy participants (N = 36) and show that the spectral power of the sustained pupillary response elicited by 45 s of fixation of this multipartite stimulus reflects the relative contribution of each sector/frequency to the overall pupillary response. We further analyze the phase lag for each temporal frequency as well as several global features related to pupil state. Test/retest performed on a subset of participants indicates good repeatability. We also investigate the existence of structural (RNFL)/functional (mPFT) relationships. We then summarize the results of clinical studies conducted with mPFT on patients with neuropathies and retinopathies and show that the features derived from pupillary signal analyses, the distribution of spectral power in particular, are homologous to disease characteristics and allow for sorting patients from healthy participants with excellent sensitivity and specificity. This method thus appears as a convenient, objective, and fast tool for assessing the integrity of retino-pupillary circuits as well as idiosyncrasies and permits to objectively assess and follow-up retinopathies or neuropathies in a short amount of time.
Chapter
Pupil size is becoming a popular index in basic and clinical investigation because it is modulated by various sensory, cognitive, and affective processes. Recent research has shown similar modulations by bottom-up saliency, top-down cognitive, and arousal processes between saccade and pupillary responses. The superior colliculus (SC), a midbrain structure causally linked to eye movements and attention, is implicated in underlying these pupil modulations because SC responses are modulated similarly by these processes. The SC receives multisensory, cognitive, and arousal inputs from multiple cortical and subcortical areas such as the frontal eye field and locus coeruleus and projects directly to the premotor brainstem circuit to initiate the orienting response, which includes pupillary responses. It is likely that multisensory, cognitive, and arousal signals, known to be integrated into the SC, can drive coordinated saccade and pupillary responses.
Preprint
Full-text available
Fluctuations in global arousal are key determinants of spontaneous cortical activity and function. Several subcortical structures, including neuromodulatory nuclei like the locus coeruleus (LC), are involved in the regulation of arousal. However, much less is known about the role of cortical circuits that provide top-down inputs to arousal-related subcortical structures. Here, we investigated the role of a major subdivision of the prefrontal cortex, the anterior cingulate cortex (ACC), in arousal modulation. Pupil size, facial movements, heart rate, and locomotion were used as non-invasive measures of arousal and behavioral state. We designed a closed loop optogenetic system based on machine vision and found that real time inhibition of ACC activity during pupil dilations suppresses ongoing arousal events. In contrast, inhibiting activity in a control cortical region had no effect on arousal. Fiber photometry recordings showed that ACC activity scales with the magnitude of spontaneously occurring pupil dilations/face movements independently of locomotion. Moreover, optogenetic ACC activation increases arousal independently of locomotion. In addition to modulating global arousal, ACC responses to salient sensory stimuli scaled with the size of evoked pupil dilations. Consistent with a role in sustaining saliency-linked arousal events, pupil responses to sensory stimuli were suppressed with ACC inactivation. Finally, our results comparing arousal-related ACC and norepinephrinergic LC neuron activity support a role for the LC in initiation of arousal events which are modulated in real time by the ACC. Collectively, our experiments identify the ACC as a key cortical site for sustaining momentary increases in arousal and provide the foundation for understanding cortical-subcortical dynamics underlying the modulation of arousal states.
Article
Pupillometry is a method allowing quantitative assessment of the pupil diameter. The size of the pupil is regulated by the structures of autonomic nervous system (nuclei of the oculomotor nerve, ciliospinal center) and related to the ambient lighting. However, overlying structures of the brain, in particular cortex, via locus coeruleus, upper colliculi of quadrigeminal bodies modulate the pupillary response regardless ambient lighting condition. Thus the baseline diameter of the pupil and its changes associated with certain tasks could be used for the objective assessment of the emotional state and cognitive functions in a human. There are data showing the changes in the pupillary response in patients with autism spectrum disorder, depression as well as Alzheimer’s disease, Parkinson’s disease and other organic disorders of the brain. More research in pupillometry is needed to identify new areas for its use.
Article
Full-text available
The ability to generate flexible behaviors to accommodate changing goals in response to identical sensory stimuli is a signature that is inherited in humans and higher-level animals. In the oculomotor system, this function has often been examined with the anti-saccade task, in which subjects are instructed, prior to stimulus appearance, to either automatically look at the peripheral stimulus (pro-saccade) or to suppress the automatic response and voluntarily look in the opposite direction from the stimulus (anti-saccade). Distinct neural preparatory activity between the pro-saccade and anti-saccade conditions has been well documented, particularly in the superior colliculus (SC) and the frontal eye field (FEF), and this has shown higher inhibition-related fixation activity in preparation for anti-saccades than in preparation for pro-saccades. Moreover, the level of preparatory activity related to motor preparation is negatively correlated with reaction times. We hypothesised that preparatory signals may be reflected in pupil size through a link between the SC and the pupil control circuitry. Here, we examined human pupil dynamics during saccade preparation prior to the execution of pro-saccades and anti-saccades. Pupil size was larger in preparation for correct anti-saccades than in preparation for correct pro-saccades and erroneous pro-saccades made in the anti-saccade condition. Furthermore, larger pupil dilation prior to stimulus appearance accompanied saccades with faster reaction times, with a trial-by-trial correlation between dilation size and anti-saccade reaction times. Overall, our results demonstrate that pupil size is modulated by saccade preparation, and neural activity in the SC, together with the FEF, supports these findings, providing unique insights into the neural substrate coordinating cognitive processing and pupil diameter. © 2015 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Article
Full-text available
The sudden appearance of a novel stimulus initiates a series of responses to orient the body for appropriate actions, including not only shifts of gaze and attention, but also transient pupil dilation. Modulation of pupil dynamics by stimulus properties is less understood, although its effects on other components of orienting have been extensively explored. Microstimulation of the superior colliculus evoked transient pupil dilation, and the initial component of pupil dilation evoked by microstimulation was similar to that elicited by the presentation of salient sensory stimuli, suggesting a coordinated role of the superior colliculus on this behavior, although evidence in humans is yet to be established. To examine pupil orienting responses in humans, we presented visual stimuli while participants fixated on a central visual spot. Transient pupil dilation in humans was elicited after presentation of a visual stimulus in the periphery. The evoked pupil responses were modulated systematically by stimulus contrast, with faster and larger pupil responses triggered by higher contrast stimuli. The pupil response onset latencies for high contrast stimuli were similar to those produced by the light reflex and significantly faster than the darkness reflex, suggesting that the initial component of pupil dilation is probably mediated by inhibition of the parasympathetic pathway. The contrast modulation was pronounced under different levels of baseline pupil size. Together, our results demonstrate visual contrast modulation on the orienting pupil response in humans.
Article
Full-text available
The ability to prepare for an action improves the speed and accuracy of its performance. While many studies indicate that behavior performance continues to improve throughout childhood and adolescence, it remains unclear whether or how preparatory processes change with development. Here, we used a rapid event-related fMRI design in three age groups (8-12, 13-17, 18-25 years) who were instructed to execute either a prosaccade (look toward peripheral target) or an antisaccade (look away from target) task. We compared brain activity within the core fronto-parietal network involved in saccade control at two epochs of saccade generation: saccade preparation related to task instruction versus saccade execution related to target appearance. The inclusion of catch trials containing only task instruction and no target or saccade response allowed us to isolate saccade preparation from saccade execution. Five regions of interest were selected: the frontal, supplementary, and parietal eye fields which are consistently recruited during saccade generation, and two regions involved in top down executive control: the dorsolateral prefrontal and anterior cingulate cortices. Our results showed strong evidence that developmental improvements in saccade performance were related to better saccade preparation rather than saccade execution. These developmental differences were mostly attributable to children who showed reduced fronto-parietal activity during prosaccade and antisaccade preparation, along with longer saccade reaction times and more incorrect responses, compared to adolescents and adults. The dorsolateral prefrontal cortex was engaged similarly across age groups, suggesting a general role in maintaining task instructions through the whole experiment. Overall, these findings suggest that developmental improvements in behavioral control are supported by improvements in effectively presetting goal-appropriate brain systems.
Article
A physiological measure of processing load or "mental effort" required to perform a cognitive task should accurately reflect within-task, between-task, and betweenindividual variations in processing demands. This article reviews all available experimental data and concludes that the task-evoked pupillary response fulfills these criteria. Alternative explanations are considered and rejected. Some implications for neurophysiological and cognitive theories of processing resources are discussed.
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The mammalian superior colliculus (SC) serves the crucial function of guiding and coordinating the orienting response. Integrating multisensory, motor, and cognitive information, and sending motor commands directly to the brainstem circuitry, the SC initiates a rapid orienting response that can invoke much of the body. The phylogenetic preservation of this structure illustrates its ongoing significance for survival, but for higher mammals, evolutionary pressure for flexible control over orienting behaviour coincided with development of a much more complex set of corticotectal projections. As a result, orienting in higher mammals (e.g. primates) is controlled by a careful interplay between sensory-driven and goal-driven processes that converge in the SC. This review focuses on the SC as a critical locus for this interaction, whereby one compartment fits the role of a visual saliency map, and another a priority map that represents the integration of salience and behavioural relevance.
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A distributed network of cortical and subcortical brain areas controls our oculomotor behavior. This network includes the superior colliculus (SC), which coordinates an ancient visual grasp reflex via outputs that ramify widely within the brainstem and spinal cord, accessing saccadic and other premotor and autonomic circuits. In this Review, we discuss recent results correlating subliminal SC activity in the absence of saccades with diverse components of the visual grasp reflex, including neck and limb muscle recruitment, pupil dilation, and microsaccade propensity. Such subtle manifestations of covert orienting are accessible in the motor periphery and may provide the next generation of oculomotor biomarkers in health and disease.