Journal of Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
36(12), P. 2822 - 2830
Published: Jan. 1, 2024
Motivation
is
often
thought
to
enhance
adaptive
decision-making
by
biasing
actions
toward
rewards
and
away
from
punishment.
Emerging
evidence,
however,
points
a
more
nuanced
view
whereby
motivation
can
both
impair
different
aspects
of
decision-making.
Model-based
approaches
have
gained
prominence
over
the
past
decade
for
developing
precise
mechanistic
explanations
how
incentives
impact
goal-directed
behavior.
In
this
Special
Focus,
we
highlight
three
studies
that
demonstrate
computational
frameworks
help
decompose
decision
processes
into
constituent
cognitive
components,
as
well
formalize
when
motivational
factors
(e.g.,
monetary
rewards)
influence
specific
processes,
strategies,
self-report
measures.
Finally,
I
conclude
with
provocative
suggestion
based
on
recent
advances
in
field:
organisms
do
not
merely
seek
maximize
expected
value
extrinsic
incentives.
Instead,
they
may
be
optimizing
achieve
desired
internal
state
homeostasis,
effort,
affect).
Future
investigation
such
will
fruitful
endeavor
unlocking
cognitive,
computational,
neural
mechanisms
motivated
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(31)
Published: July 24, 2024
Choosing
whether
to
exert
effort
obtain
rewards
is
fundamental
human
motivated
behavior.
However,
the
neural
dynamics
underlying
evaluation
of
reward
and
in
humans
poorly
understood.
Here,
we
report
an
exploratory
investigation
into
this
with
chronic
intracranial
recordings
from
prefrontal
cortex
(PFC)
basal
ganglia
(BG;
subthalamic
nuclei
globus
pallidus)
people
Parkinson’s
disease
performing
a
decision-making
task
offers
that
varied
levels
physical
required.
This
revealed
dissociable
signatures
effort,
BG
beta
(12
20
Hz)
oscillations
tracking
on
single-trial
basis
PFC
theta
(4
7
signaling
previous
trial
reward,
no
effects
net
subjective
value.
Stimulation
increased
overall
acceptance
sensitivity
while
decreasing
impact
choices.
work
uncovers
oscillatory
mechanisms
guide
decisions
for
across
PFC,
supports
causal
role
such
choices,
seeds
hypotheses
future
studies.
Brain,
Journal Year:
2024,
Volume and Issue:
147(10), P. 3358 - 3369
Published: July 2, 2024
Abstract
The
ability
to
initiate
volitional
action
is
fundamental
human
behaviour.
Loss
of
dopaminergic
neurons
in
Parkinson's
disease
associated
with
impaired
initiation,
also
termed
akinesia.
Both
dopamine
and
subthalamic
deep
brain
stimulation
(DBS)
can
alleviate
akinesia,
but
the
underlying
mechanisms
are
unknown.
An
important
question
whether
DBS
facilitate
de
novo
build-up
neural
dynamics
for
motor
execution
or
accelerate
existing
cortical
movement
initiation
signals
through
shared
modulatory
circuit
effects.
Answering
these
questions
provide
foundation
new
closed-loop
neurotherapies
adaptive
DBS,
objectification
processing
delays
prior
performance
remains
a
significant
challenge.
To
overcome
this
challenge,
we
studied
readiness
potentials
trained
signal
decoders
on
invasive
neurophysiology
25
patients
(12
female)
during
self-initiated
movements.
Combined
sensorimotor
cortex
electrocorticography
local
field
potential
recordings
were
performed
OFF
therapy
(n
=
22),
ON
medication
18)
8).
This
allowed
us
compare
their
therapeutic
effects
latencies
between
earliest
representation
intention
as
decoded
by
linear
discriminant
analysis
classifiers
onset
muscle
activation
recorded
electromyography.
In
hypodopaminergic
state,
observed
long
machine
learning
classifications.
Both,
significantly
shortened
latencies,
hinting
towards
mechanism
alleviation
investigate
further,
analysed
directional
cortico-subthalamic
oscillatory
communication
multivariate
granger
causality.
Strikingly,
found
that
both
therapies
independently
shifted
information
flow
from
antikinetic
beta
(13–35
Hz)
prokinetic
theta
(4–10
rhythms,
which
was
correlated
execution.
Our
study
reveals
network
modulation
pattern
may
underlie
acceleration
augmentation
disease.
Instead
producing
increasing
preparatory
signals,
modulate
communication.
These
insights
link
pathophysiology
akinesia
its’
changes
other
non-motor
domains,
e.g.
related
hyperkinesia
effort
reward
perception.
future,
our
inspire
development
clinical
computer
interfaces
based
temporally
precise
support
disorders.
Proceedings of the National Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
122(12)
Published: March 17, 2025
Internal
states
like
motivation
fluctuate
substantially
over
time.
However,
studies
of
the
neurocomputational
mechanims
motivated
behavior
have
failed
to
capture
this.
Here,
we
examined
how
naturalistic
ups
and
downs
in
state
influence
subjective
value
reward
effort.
In
a
microlongitudinal
design
(N
=
155,
timepoints
3,344,
decision-making
tasks
845),
captured
fluctuations
effort-based
using
smartphone-based
momentary
assessments
as
people
went
about
their
daily
lives.
We
found
that
both
trait
independent
multiplicative
effects
on
decision-making.
State–behavior
coupling
was
particularly
pronounced
individuals
with
higher
apathy,
meaning
choices
were
even
more
dependent.
Using
computational
modeling,
demonstrate
prospectively
boosted
sensitivity,
making
willing
exert
effort
future.
Our
results
show
day-to-day
cognition
are
tightly
linked
critical
for
understanding
fundamental
human
behaviors
mental
ill-health.
Brain Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 471 - 471
Published: April 29, 2025
Brain
stimulation
therapies
may
be
used
to
correct
motor,
social,
emotional,
and
cognitive
consequences
of
traumatic
brain
injury
(TBI).
Neuromodulation
applied
with
anatomical
specificity
can
ameliorate
desired
symptoms
while
leaving
functional
circuits
intact.
Before
applying
precision
medicine
approaches,
preclinical
animal
studies
are
needed
explore
potential
neurophysiological
signatures
that
could
modulated
neurostimulation.
This
review
discusses
neural
cognition,
particularly
reward
processing,
which
is
chronically
impaired
after
injury.
Electrophysiology,
compared
other
types
biomarkers,
detect
deficits
missed
by
structural
measures,
holds
translational
between
humans
animals,
directly
informs
neuromodulatory
treatments.
Disturbances
in
oscillatory
activity
underscore
structural,
molecular,
behavioral
impairments
seen
following
TBI.
For
instance,
cortico-striatal
beta
frequency
(15-30
Hz)
during
processing
represents
subjective
value
disturbed
frontal
TBI
rodents.
We
use
the
example
evoked
oscillations
network
as
a
putative
marker
targeted
electrical
improve
decision
making
highlights
necessity
collecting
electrophysiological
data
models
understand
underlying
mechanisms
develop
treatments
humans.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 5, 2025
Adaptive
decision-making
in
uncertain
environments
requires
balancing
exploration
and
exploitation.
Computational
models
distinguish
between
directed
exploration,
involving
deliberate
information-seeking,
random
characterized
by
stochastic
variability.
The
neural
correlates
of
these
strategies
have
been
investigated
previous
studies.
However,
while
prior
research
implicates
the
dorsolateral
prefrontal
cortex
(DLPFC)
its
underlying
excitatory
inhibitory
mechanisms
remain
unclear.
Understanding
processes
is
essential
for
explaining
how
individuals
adapt
to
a
dynamic
environment.
To
investigate
this,
we
combined
transcranial
magnetic
stimulation
(TMS)
with
electroencephalography
(EEG)
directly
assess
cortical
functions.
Twenty-five
healthy
participants
completed
Horizon
Task,
behavioral
paradigm
designed
dissociate
after
task,
they
received
single-pulse
TMS
over
DLPFC.
TMS-evoked
potentials
(TEPs)
N45,
P60,
N100
were
examined
as
neurophysiological
markers
GABAA,
GABAB,
glutamate
activity.
Results
revealed
significant
positive
correlation
amplitude
at
right
DLPFC
suggesting
that
GABAB-mediated
inhibition
plays
key
role
decision-making.
Additionally,
decision
noise
parameter
logistic
model
further
validated
this
association.
These
findings
highlight
importance
exploratory
behavior
underscore
utility
TMS-EEG
uncovering
adaptive
Cognitive Affective & Behavioral Neuroscience,
Journal Year:
2024,
Volume and Issue:
24(5), P. 839 - 859
Published: Aug. 15, 2024
Abstract
The
value
associated
with
reward
is
sensitive
to
external
factors,
such
as
the
time
between
choice
and
delivery
classically
manipulated
in
temporal
discounting
tasks.
Subjective
preference
for
two
options
dependent
on
objective
variables
of
magnitude
delay.
Single
neuron
correlates
have
been
observed
regions,
including
ventral
striatum,
orbital,
medial
prefrontal
cortex.
Brain
imaging
studies
show
cortico-striatal-limbic
network
activity
related
subjective
preferences.
To
explore
how
oscillatory
dynamics
represent
processing
across
brain
we
measured
local
field
potentials
rats
performing
a
task.
Our
goal
was
use
data-driven
approach
identify
an
electrophysiological
marker
that
preference.
We
found
reward-locked
oscillations
at
beta
frequencies
signaled
decayed
longer
delays.
Electrodes
orbitofrontal/medial
cortex,
anterior
insula,
amygdala
individually
increased
power
were
functionally
connected
during
outcome.
Beta
outcome
correlated
defined
by
computational
model
fit
behavior.
These
data
suggest
cortico-striatal
are
signal
correlated,
which
may
hold
potential
serve
biomarker
therapeutic
target.
Subjective
experiences,
like
feeling
motivated,
fluctuate
over
time.
However,
we
usually
ignore
these
fluctuations
when
studying
how
feelings
predict
behaviour.
Here,
examine
whether
naturalistic
ups
and
downs
in
states
influence
the
subjective
value
of
choices.
In
a
novel
microlongitudinal
design
(N
=
155,
included
timepoints
3344,
tasks
845,
mean
per
person
26.4),
assessed
link
between
state
effort-based
choices
using
smartphone-based,
momentary
assessments
15
days.
Task-based
willingness
to
exert
effort
for
reward
was
specifically
boosted
people
felt
more
motivated
(than
they
normally
do).
This
state-behaviour
coupling
significantly
strengthened
individuals
with
higher
trait
apathy.
Computational
modelling
revealed
that
changed
preceded
sensitivity
reward,
thereby
driving
Our
results
show
typical,
day-to-day
cognition
are
tightly
linked,
critical
understanding
fundamental
human
behaviours
real-world.