The
default
mode
network
(DMN)
constitutes
a
cluster
of
interconnected
brain
regions
engaged
in
internal
cognitive
processes,
such
as
interoception,
memory
recall,
and
self-referential
thinking.
DMN
is
task-negative
network,
displaying
increased
activity
during
rest
but
reduced
tasks.
Resting-state
functional
magnetic
resonance
imaging
(rs-MRI)
examines
this
nature
by
tracking
low-frequency
fluctuations
the
blood
oxygenation
level-dependent
signal
an
indirect
marker
for
changes
activity.
Many
cross-sectional
studies
have
focused
on
understanding
organization
healthy
aging,
however,
these
fail
to
account
intra-individual
variance.
To
address
limitation,
we
conducted
longitudinal,
pilot
analysis
that
investigated
segregation
index
($SI$),
simply
defined
ratio
within-network
connectivity
relative
between-network
connectivity,
across
adult
lifespan.
Specifically,
subset
Calgary
Normative
Study
data
(67
individuals
scanned
twice
over
interval
3.1
±
0.3
years,
mean
standard
deviation)
was
analyzed.
A
linear
mixed
effects
model
used
examine
$Age,Age^{2}$,
Sex,
well
Age
$\times$
Sex
interactions
SI.
We
observed
significant
decline
$SI$
with
$\operatorname{Age}^{2}(t_{128}=-2.79,\
p\leq
0.001)$.
Males
demonstrated
compared
females
$(t_{126}=-2.53,p=0.01$).
By
identifying
$SI$,
our
study
advances
age-and
sex-associated
architecture,
laying
groundwork
future
work.
In
conclusion,
confirms
significance
aging
using
longitudinal
analysis.
Using
metric
strengthened
investigation
combining
within-
into
more
robust
reflects
complex
dynamic
changes.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 31, 2024
Connectivity
of
somatosensory
cortex
(S1)
and
cerebellum
with
the
motor
(M1)
is
critical
for
balance
control.
While
both
S1-M1
cerebellar-M1
connections
are
affected
aging,
implications
altered
connectivity
control
not
known.
We
investigated
relationship
between
standing
in
middle-aged
older
adults.
Our
secondary
objective
was
to
investigate
how
cognition
balance.
results
show
that
greater
related
postural
sway
during
standing.
This
may
be
indicative
an
increase
functional
recruitment
additional
brain
networks
maintain
upright
despite
differences
network
connectivity.
Also,
moderated
balance,
such
those
lower
had
a
stronger
performance.
It
individuals
poor
need
increased
regions
(compensation
cognitive
declines)
turn,
higher
wiring
costs,
which
would
associated
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 26, 2024
Abstract
Neuroendocrinology
has
received
little
attention
in
human
neuroscience
research,
resulting
a
dearth
of
knowledge
surrounding
potent
and
dynamic
modulators
cognition
behavior,
as
well
brain
structure
function.
This
work
addresses
one
such
phenomenon
by
studying
functional
connectomics
related
to
ovarian
hormone
fluctuations
throughout
the
adult
menstrual
cycle.
To
do
so,
we
used
magnetic
resonance
imaging
(fMRI)
assessments
from
two
dense,
longitudinal
datasets
assess
variations
connectivity
with
respect
endogenous
exogenous
endocrine
factors
First,
replicated
prior
findings
that
common,
group-level
individual
specific
have
similar
relative
contributions
network
organization.
Second,
found
widespread
hormonal
contraceptive
(HC)
use,
addition
sparser
estradiol-
progesterone-related
connectivity,
differential
generalizability
these
subnetworks
suggests
progestin-specific
impacts
on
HC
users.
These
results
provide
novel
insight
into
within-individual
changes
organization
across
cycle
extent
which
are
shared
between
individuals,
illuminating
understudied
phenomena
reproductive
health
important
information
for
all
neuroimaging
studies
include
participants
who
menstruate.
Author
Summary
Endocrine
modulation
function
is
poorly
understood.
Human
research
long
relied
group-
or
coarse,
stage-differences,
overlooking
considerable
differences
organization,
cycle,
concentrations.
Here,
take
multi-dataset
approach
identify
idiosyncratic
contraceptive-
hormone-related
neuroendocrine
dynamics
then
test
this
other
individuals.
In
doing
identified
hormone-responsive
somewhat
generalizable
though
complicated
potentially
reflecting
formulations.
Thus,
illuminates
similarities
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Aug. 31, 2022
Abstract
Sex
hormones
fluctuate
over
the
course
of
female
lifespan
and
are
associated
with
brain
health
cognition.
Thus,
hormonal
changes
throughout
adulthood,
menopause
in
particular,
may
contribute
to
sex
differences
function
behavior.
Further,
have
been
correlated
sleep
patterns,
which
also
exhibit
sex-specific
impacts
on
As
such,
interplay
between
late-life
behavioral
outcomes
females.
Here,
a
sample
healthy
middle-aged
older
females
(n
=
79,
ages
35-86),
we
evaluated
effect
hormone-sleep
interactions
cognitive
motor
performance
as
well
cerebellar-frontal
network
connectivity.
Salivary
samples
were
used
measure
17
β
-estradiol,
progesterone,
testosterone
levels
while
overnight
actigraphy
was
quantify
patterns.
Cognitive
behavior
quantified
using
composite
average
standardized
scores
memory,
processing
speed,
attentional
tasks,
indexed
sequence
learning,
balance,
dexterity
tasks.
We
analyzed
resting-state
connectivity
correlations
for
two
specific
networks:
Crus
I
dorsolateral
prefrontal
cortex
Lobule
V
primary
network.
In
sum,
results
indicate
that
patterns
interact
predict
aging
Together,
current
findings
further
highlight
potential
consequences
endocrine
suggest
link
contribute,
part,
divergent
sexes
advanced
age.
Highlights
Hormone-sleep
influence
impacted
by
relationships
The
cerebellum
is
recognized
as
being
important
for
optimal
behavioral
performance
across
task
domains,
including
motor
function,
cognition,
and
affect.
Decades
of
work
have
highlighted
cerebello-thalamo-cortical
circuits,
from
both
structural
functional
perspectives.
However,
these
circuits
interest
been
primarily
(though
not
exclusively)
focused
on
targets
in
the
cerebral
cortex.
In
addition
to
cortical
connections,
circuit
linking
hippocampus
particular
interest.
Recently,
there
has
an
increased
this
circuit,
thanks
large
part
novel
findings
animal
literature
demonstrating
that
neuronal
firing
impacts
hippocampus.
Work
human
brain
provided
evidence
interactions
between
hippocampus,
though
context
spatial
navigation.
Given
role
regions
cognition
aging,
emerging
indicating
impacted
age-related
neurodegenerative
disease
such
Alzheimer’s,
I
propose
further
attention
warranted.
Here,
provide
overview
cerebello-hippocampal
models
imaging
outline
possible
utility
investigations
improve
our
understanding
aging
cognitive
decline.
The
default
mode
network
(DMN)
constitutes
a
cluster
of
interconnected
brain
regions
engaged
in
internal
cognitive
processes,
such
as
interoception,
memory
recall,
and
self-referential
thinking.
DMN
is
task-negative
network,
displaying
increased
activity
during
rest
but
reduced
tasks.
Resting-state
functional
magnetic
resonance
imaging
(rs-MRI)
examines
this
nature
by
tracking
low-frequency
fluctuations
the
blood
oxygenation
level-dependent
signal
an
indirect
marker
for
changes
activity.
Many
cross-sectional
studies
have
focused
on
understanding
organization
healthy
aging,
however,
these
fail
to
account
intra-individual
variance.
To
address
limitation,
we
conducted
longitudinal,
pilot
analysis
that
investigated
segregation
index
($SI$),
simply
defined
ratio
within-network
connectivity
relative
between-network
connectivity,
across
adult
lifespan.
Specifically,
subset
Calgary
Normative
Study
data
(67
individuals
scanned
twice
over
interval
3.1
±
0.3
years,
mean
standard
deviation)
was
analyzed.
A
linear
mixed
effects
model
used
examine
$Age,Age^{2}$,
Sex,
well
Age
$\times$
Sex
interactions
SI.
We
observed
significant
decline
$SI$
with
$\operatorname{Age}^{2}(t_{128}=-2.79,\
p\leq
0.001)$.
Males
demonstrated
compared
females
$(t_{126}=-2.53,p=0.01$).
By
identifying
$SI$,
our
study
advances
age-and
sex-associated
architecture,
laying
groundwork
future
work.
In
conclusion,
confirms
significance
aging
using
longitudinal
analysis.
Using
metric
strengthened
investigation
combining
within-
into
more
robust
reflects
complex
dynamic
changes.