Abstract
Event‐related
potential
studies
of
emotional
processing
have
focused
on
the
late
positive
(LPP),
a
sustained
deflection
in
ERP
that
is
increased
for
emotionally
arousing
stimuli.
A
prominent
theory
suggests
modulation
LPP
response
to
stimulus
significance,
defined
terms
activation
appetitive
and
aversive
motivational
systems.
The
current
review
incorporates
experimental
showing
manipulations
alter
significance
stimuli
amplitude.
Complementing
these
within‐person
studies,
also
included
individual
differences
research
depression
wherein
has
been
used
study
reduced
neural
sensitivity
Finally,
builds
an
existing
framework
observed
P300
classic
oddball
may
reflect
common
significance.
This
integrative
account
implications
functional
interpretation
ERPs,
their
neurobiological
mechanisms,
clinical
applications.
Behavioral and Brain Sciences,
Год журнала:
2013,
Номер
36(6), С. 661 - 679
Опубликована: Дек. 1, 2013
Abstract
Why
does
performing
certain
tasks
cause
the
aversive
experience
of
mental
effort
and
concomitant
deterioration
in
task
performance?
One
explanation
posits
a
physical
resource
that
is
depleted
over
time.
We
propose
an
alternative
centers
on
representations
costs
benefits
associated
with
performance.
Specifically,
computational
mechanisms,
especially
those
executive
function,
can
be
deployed
for
only
limited
number
simultaneous
at
any
given
moment.
Consequently,
deployment
these
mechanisms
carries
opportunity
cost
–
is,
next-best
use
to
which
systems
might
put.
argue
phenomenology
understood
as
felt
output
cost/benefit
computations.
In
turn,
subjective
motivates
reduced
service
present
task.
These
representations,
then,
together
other
calculations,
determine
expended
and,
everything
else
equal,
result
performance
reductions.
making
our
case
this
position,
we
review
explanations
both
reductions
Likewise,
broad
range
relevant
empirical
results
from
across
sub-disciplines,
psychology
neuroscience.
hope
proposal
will
help
build
links
among
diverse
fields
have
been
addressing
similar
questions
different
perspectives,
emphasize
ways
models
empirically
distinguished.
Behavioral and Brain Sciences,
Год журнала:
2015,
Номер
39
Опубликована: Июль 1, 2015
Abstract
Emotional
arousal
enhances
perception
and
memory
of
high-priority
information
but
impairs
processing
other
information.
Here,
we
propose
that,
under
arousal,
local
glutamate
levels
signal
the
current
strength
a
representation
interact
with
norepinephrine
(NE)
to
enhance
high
priority
representations
out-compete
or
suppress
lower
representations.
In
our
"glutamate
amplifies
noradrenergic
effects"
(GANE)
model,
at
site
prioritized
increases
NE
release
from
locus
coeruleus
(LC)
generate
“NE
hotspots.”
At
these
hotspots,
are
mutually
enhancing
amplify
activation
contrast,
arousal-induced
LC
activity
inhibits
less
active
via
two
mechanisms:
1)
Where
there
lateral
inhibition
is
amplified;
2)
no
hotspots
emerge,
only
enough
activate
low-threshold
inhibitory
adrenoreceptors.
Thus,
promotes
few
excitation
in
context
widespread
suppression,
while
suppressing
rest.
Hotspots
also
help
synchronize
oscillations
across
neural
ensembles
transmitting
Furthermore,
brain
structures
that
detect
stimulus
phasic
preferentially
route
such
through
large-scale
functional
networks.
A
surge
before,
during,
after
encoding
synaptic
plasticity
triggering
protein
synthesis
processes
selective
consolidation.
Together,
mechanisms
promote
attention
arousal.
GANE
not
reconciles
apparently
contradictory
findings
emotion-cognition
literature
extends
previous
influential
theories
neuromodulation
by
proposing
specific
for
how
LC-NE
gain.
Network Neuroscience,
Год журнала:
2019,
Номер
4(1), С. 30 - 69
Опубликована: Дек. 16, 2019
The
brain
is
a
complex,
multiscale
dynamical
system
composed
of
many
interacting
regions.
Knowledge
the
spatiotemporal
organization
these
interactions
critical
for
establishing
solid
understanding
brain's
functional
architecture
and
relationship
between
neural
dynamics
cognition
in
health
disease.
possibility
studying
through
careful
analysis
neuroimaging
data
has
catalyzed
substantial
interest
methods
that
estimate
time-resolved
fluctuations
connectivity
(often
referred
to
as
"dynamic"
or
time-varying
connectivity;
TVFC).
At
same
time,
debates
have
emerged
regarding
application
TVFC
analyses
resting
fMRI
data,
about
statistical
validity,
physiological
origins,
cognitive
behavioral
relevance
TVFC.
These
other
unresolved
issues
complicate
interpretation
findings
limit
insights
can
be
gained
from
this
promising
new
research
area.
This
article
brings
together
scientists
with
variety
perspectives
on
review
current
literature
light
issues.
We
introduce
core
concepts,
define
key
terms,
summarize
controversies
open
questions,
present
forward-looking
perspective
how
rigorously
productively
applied
investigate
wide
range
questions
systems
neuroscience.