Journal of Consumer Psychology,
Год журнала:
2022,
Номер
33(3), С. 489 - 509
Опубликована: Авг. 4, 2022
Abstract
Resource
scarcity
is
a
powerful
construct
in
social
sciences.
However,
explanations
about
how
resources
influence
overall
wellbeing
are
difficult
to
generalize
since
much
of
the
research
on
focuses
relatively
affluent
marketplace
conditions,
limiting
its
usefulness
large
segments
global
population
living
poverty.
Conversely,
poverty
provides
cultural
insights
into
resource
deprivation,
yet
it
stops
short
explaining
systematic
variation
scarce
among
impoverished
individuals.
To
bridge
these
intellectual
silos
and
advance
deeper
understanding
scarcity,
we
integrate
research,
which
builds
upon
psychological
tradition
understand
various
forms
everyday
with
sociological
extreme
enduring
deprivation.
We
propose
novel
framework
that
integrates
concept
consumption
adequacy
clarifies
scarcity's
forms,
intensity,
duration,
dynamic
trajectories.
leverage
this
generate
agenda,
ways
stimulate
dialog
scholars,
policymakers,
organizations
help
inform
life
circumstances
effective
solutions.
Nature reviews. Neuroscience,
Год журнала:
2021,
Номер
22(6), С. 372 - 384
Опубликована: Апрель 28, 2021
Childhood
socio-economic
status
(SES),
a
measure
of
the
availability
material
and
social
resources,
is
one
strongest
predictors
lifelong
well-being.
Here
we
review
evidence
that
experiences
associated
with
childhood
SES
affect
not
only
outcome
but
also
pace
brain
development.
We
argue
higher
protracted
structural
development
prolonged
trajectory
functional
network
segregation,
ultimately
leading
to
more
efficient
cortical
networks
in
adulthood.
hypothesize
greater
exposure
chronic
stress
accelerates
maturation,
whereas
access
novel
positive
decelerates
maturation.
discuss
impact
variation
on
plasticity
learning.
provide
generative
theoretical
framework
catalyse
future
basic
science
translational
research
environmental
influences
Evidence
suggests
can
its
rate.
Tooley,
Bassett
Mackey
this
suggest
valence
frequency
early
interact
influence
Human Brain Mapping,
Год журнала:
2021,
Номер
43(1), С. 431 - 451
Опубликована: Фев. 17, 2021
Delineating
the
association
of
age
and
cortical
thickness
in
healthy
individuals
is
critical
given
with
cognition
behavior.
Previous
research
has
shown
that
robust
estimates
between
brain
morphometry
require
large-scale
studies.
In
response,
we
used
cross-sectional
data
from
17,075
aged
3-90
years
Enhancing
Neuroimaging
Genetics
through
Meta-Analysis
(ENIGMA)
Consortium
to
infer
age-related
changes
thickness.
We
fractional
polynomial
(FP)
regression
quantify
thickness,
computed
normalized
growth
centiles
using
parametric
Lambda,
Mu,
Sigma
method.
Interindividual
variability
was
estimated
meta-analysis
one-way
analysis
variance.
For
most
regions,
their
highest
value
observed
childhood.
Age
showed
a
negative
association;
slope
steeper
up
third
decade
life
more
gradual
thereafter;
notable
exceptions
this
general
pattern
were
entorhinal,
temporopolar,
anterior
cingulate
cortices.
largest
temporal
frontal
regions
across
lifespan.
its
FP
combinations
explained
59%
variance
These
results
may
form
basis
further
investigation
on
normative
deviation
significance
for
behavioral
cognitive
outcomes.
Educational Psychologist,
Год журнала:
2019,
Номер
54(3), С. 185 - 204
Опубликована: Июль 3, 2019
New
advances
in
neurobiology
are
revealing
that
brain
development
and
the
learning
it
enables
directly
dependent
on
social-emotional
experience.
Growing
bodies
of
research
reveal
importance
socially
triggered
epigenetic
contributions
to
network
configuration,
with
implications
for
functioning,
cognition,
motivation,
learning.
Brain
is
also
impacted
by
health-related
physical
developmental
factors,
such
as
sleep,
toxin
exposure,
puberty,
which
turn
influence
functioning
cognition.
An
appreciation
dynamic
interdependencies
experience,
underscores
a
"whole
child"
approach
education
reform
leads
important
insights
To
facilitate
these
interdisciplinary
conversations,
here
we
conceptualize
within
framework
current
evidence
fundamental
ubiquitous
biological
constraints
affordances
undergirding
learning–related
constructs
more
broadly.
Learning
indeed
depends
how
nature
nurtured.
Abstract
The
literature
on
large‐scale
resting‐state
functional
brain
networks
across
the
adult
lifespan
was
systematically
reviewed.
Studies
published
between
1986
and
July
2021
were
retrieved
from
PubMed.
After
reviewing
2938
records,
144
studies
included.
Results
11
network
measures
summarized
assessed
for
certainty
of
evidence
using
a
modified
GRADE
method.
provides
high
that
older
adults
display
reduced
within‐network
increased
between‐network
connectivity.
Older
also
show
lower
segregation,
modularity,
efficiency
hub
function,
decreased
lateralization
posterior
to
anterior
shift
at
rest.
Higher‐order
reliably
showed
age
differences,
whereas
primary
sensory
motor
more
variable
results.
inflection
point
changes
is
often
third
or
fourth
decade
life.
Age
effects
found
with
moderate
within‐
altered
patterns
speed
dynamic
Research
within‐subject
bold
variability
connectivity
glucose
uptake
low
differences
but
warrants
further
study.
Taken
together,
these
age‐related
may
contribute
cognitive
decline
seen
in
adults.
Proceedings of the National Academy of Sciences,
Год журнала:
2023,
Номер
120(20)
Опубликована: Май 8, 2023
Brain
scans
acquired
across
large,
age-diverse
cohorts
have
facilitated
recent
progress
in
establishing
normative
brain
aging
charts.
Here,
we
ask
the
critical
question
of
whether
cross-sectional
estimates
age-related
trajectories
resemble
those
directly
measured
from
longitudinal
data.
We
show
that
changes
inferred
cross-sectionally
mapped
charts
can
substantially
underestimate
actual
longitudinally.
further
find
vary
markedly
between
individuals
and
are
difficult
to
predict
with
population-level
age
trends
estimated
cross-sectionally.
Prediction
errors
relate
modestly
neuroimaging
confounds
lifestyle
factors.
Our
findings
provide
explicit
evidence
for
importance
measurements
ascertaining
development
trajectories.
Nature Medicine,
Год журнала:
2024,
Номер
30(12), С. 3646 - 3657
Опубликована: Авг. 26, 2024
Abstract
Brain
clocks,
which
quantify
discrepancies
between
brain
age
and
chronological
age,
hold
promise
for
understanding
health
disease.
However,
the
impact
of
diversity
(including
geographical,
socioeconomic,
sociodemographic,
sex
neurodegeneration)
on
brain-age
gap
is
unknown.
We
analyzed
datasets
from
5,306
participants
across
15
countries
(7
Latin
American
Caribbean
(LAC)
8
non-LAC
countries).
Based
higher-order
interactions,
we
developed
a
deep
learning
architecture
functional
magnetic
resonance
imaging
(2,953)
electroencephalography
(2,353).
The
comprised
healthy
controls
individuals
with
mild
cognitive
impairment,
Alzheimer
disease
behavioral
variant
frontotemporal
dementia.
LAC
models
evidenced
older
ages
(functional
imaging:
mean
directional
error
=
5.60,
root
square
(r.m.s.e.)
11.91;
electroencephalography:
5.34,
r.m.s.e.
9.82)
associated
frontoposterior
networks
compared
models.
Structural
socioeconomic
inequality,
pollution
disparities
were
influential
predictors
increased
gaps,
especially
in
(
R
²
0.37,
F
0.59,
6.9).
An
ascending
to
impairment
was
found.
In
LAC,
observed
larger
gaps
females
control
groups
respective
males.
results
not
explained
by
variations
signal
quality,
demographics
or
acquisition
methods.
These
findings
provide
quantitative
framework
capturing
accelerated
aging.
Cerebral Cortex,
Год журнала:
2019,
Номер
30(1), С. 1 - 19
Опубликована: Март 8, 2019
Higher
socioeconomic
status
(SES)
in
childhood
is
associated
with
increased
cognitive
abilities,
higher
academic
achievement,
and
decreased
incidence
of
mental
illness
later
development.
Accumulating
evidence
suggests
that
these
effects
may
be
due
to
changes
brain
development
induced
by
environmental
factors.
While
prior
work
has
mapped
the
associations
between
neighborhood
SES
structure,
little
known
about
relationship
intrinsic
neural
dynamics.
Here,
we
capitalize
upon
a
large
community-based
sample
(Philadelphia
Neurodevelopmental
Cohort,
ages
8-22
years,
n=1012)
examine
developmental
functional
network
topology
as
estimated
from
resting
state
magnetic
resonance
imaging
data.
We
quantitatively
characterize
this
using
local
measure
segregation
clustering
coefficient,
find
it
accounts
for
greater
degree
SES-associated
variance
than
meso-scale
captured
modularity.
whole-brain
age,
high-SES
youth
displayed
faster
increases
low-SES
youth,
effect
was
most
pronounced
regions
limbic,
somatomotor,
ventral
attention
systems.
The
on
strongest
connections
intermediate
physical
length,
consistent
decreases
connectivity
tracked
BOLD
signal
complexity
form
regional
homogeneity.
Our
findings
suggest
fundamentally
alter
patterns
inter-regional
interactions
human
manner
information
processing
late
adolescence.