Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 19, 2023
Abstract
Gonadal
hormone
fluctuations
in
females
have
been
associated
with
symptoms
of
mental
health,
yet
the
underlying
brain
mechanisms
remain
understudied.
Recent
advances
neuroscience
shifted
paradigm
towards
longitudinal
tracking,
enabling
detection
subtle
changes
overlooked
conventional
cross-sectional
analyses.
This
dense-sampling
approach
acknowledges
rhythmic
nature
gonadal
production.
Our
study
employed
three
densely
sampled
who
underwent
imaging
and
venipuncture
(5
to
7
days
per
week)
over
full
menstrual
cycle
investigate
impact
variation
on
structure.
In
two
healthy
typical
cycles,
progesterone
progesterone/estradiol
ratios
were
inversely
spatiotemporal
structural
patterns
across
cycle.
To
probe
neural
effects
hormonal
dysregulation,
we
a
participant
endometriosis,
an
endocrine
disorder
affecting
10%
their
reproductive
years.
Here,
pattern
was
only
estradiol
fluctuations.
findings
suggest
that
hormones
are
short-term
changes,
distinctions
observed
between
endometriosis
cycles.
emphasizes
consideration
individual
dynamics
understanding
plasticity.
Network Neuroscience,
Год журнала:
2023,
Номер
7(3), С. 926 - 949
Опубликована: Янв. 1, 2023
Abstract
Edge
time
series
decompose
functional
connectivity
into
its
framewise
contributions.
Previous
studies
have
focused
on
characterizing
the
properties
of
high-amplitude
frames
(time
points
when
global
co-fluctuation
amplitude
takes
largest
value),
including
their
cluster
structure.
Less
is
known
about
middle-
and
low-amplitude
co-fluctuations
(peaks
in
but
lower
amplitude).
Here,
we
directly
address
those
questions,
using
data
from
two
dense-sampling
studies:
MyConnectome
project
Midnight
Scan
Club.
We
develop
a
hierarchical
clustering
algorithm
to
group
peak
all
magnitudes
nested
multiscale
clusters
based
pairwise
concordance.
At
coarse
scale,
find
evidence
three
large
that,
collectively,
engage
virtually
canonical
brain
systems.
finer
scales,
however,
each
dissolved,
giving
way
increasingly
refined
patterns
involving
specific
sets
also
an
increase
magnitude
with
scale.
Finally,
comment
amount
needed
estimate
pattern
implications
for
brain-behavior
studies.
Collectively,
findings
reported
here
fill
several
gaps
current
knowledge
concerning
heterogeneity
richness
as
estimated
edge
while
providing
some
practical
guidance
future
Abstract
Irregular
menstrual
cycles,
affecting
approximately
30%
of
women
in
their
reproductive
years,
are
often
overlooked
research,
limiting
our
insights
into
the
broader
spectrum
hormonal
interactions.
Understanding
relationship
between
endogenous
hormone
fluctuations
and
brain
function
across
cycle,
particularly
beyond
regular
is
essential
for
comprehending
mental
disorders
prevalent
women.
To
this
aim,
a
healthy
female
with
an
irregular
cycle
underwent
dense
sampling
5
consecutive
weeks,
primarily
covering
follicular
phase
ovulation.
Blood
draws
provided
measurements
estradiol,
estrone,
progesterone.
T
1
-weighted
MRI
scans
assessed
bilateral
hippocampal
volumes.
Positive
negative
affect
were
collected
at
each
session.
Statistical
analyses
included
cubic
regression
curves,
Spearman
correlations,
mediation
models
to
explore
associations
morphology
affect.
Significant
concentrations,
volume,
observed
25
testing
days.
Estradiol
estrone
significantly
correlated
while
progesterone
showed
no
significant
association.
Increasing
concentrations
estrogens
linked
decreasing
positive
affect,
mediated
by
volume
fluctuations.
further
associated
increasing
however,
independently
changes.
Our
findings
suggest
potential
roles
regulation
participant
cycle.
This
research
serves
as
blueprint
future
investigations
complex
interplay
sex
hormones
structural
dynamics
cycles
establishes
fundamental
framework
advancement
sex-specific
precision
medicine.
Frontiers in Neuroscience,
Год журнала:
2024,
Номер
18
Опубликована: Дек. 6, 2024
Background
Brain
connectome
fingerprinting
represents
a
recent
and
valid
approach
in
assessing
individual
identifiability
on
the
basis
of
subject-specific
brain
functional
connectome.
Although
this
methodology
has
been
tested
validated
several
neurological
diseases,
its
performance,
reliability
reproducibility
healthy
individuals
poorly
investigated.
In
particular,
impact
changes
connectivity,
induced
by
different
phases
menstrual
cycle
(MC),
remains
unexplored.
Furthermore,
although
modifications
psychological
condition
women
during
MC
are
widely
documented,
possible
link
with
connectivity
Methods
We
conducted
Clinical
Connectome
Fingerprint
(CCF)
analysis
source-reconstructed
magnetoencephalography
signals
cohort
24
across
MC.
Results
All
parameters
did
not
differ
according
to
phases.
The
peri-ovulatory
mid-luteal
showed
less
stable,
more
variable
over
time,
compared
early
follicular
phase.
This
difference
stability
alpha
band
significantly
predicted
self-esteem
level
(
p
-value
<0.01),
mood
<0.01)
five
(environmental
mastery,
personal
growth,
positive
relations
others,
purpose
life,
self-acceptance)
six
dimensions
well-being
<0.01,
save
autonomy).
Conclusion
These
results
confirm
high
CCF
as
well
independence
from
At
same
time
study
provides
insights
their
role
affecting
women’s
subjective
state
Finally,
these
share
predictive
power
self-esteem,
well-being.
Frontiers in Neuroscience,
Год журнала:
2022,
Номер
16
Опубликована: Июнь 14, 2022
Hormonal
contraceptive
drugs
are
used
by
adolescent
and
adult
women
worldwide.
Increasing
evidence
from
human
neuroimaging
research
indicates
that
oral
contraceptives
can
alter
regional
functional
brain
connectivity
chemistry.
However,
questions
remain
regarding
static
whole-brain
dynamic
network-wise
changes.
A
healthy
woman
(23
years
old)
was
scanned
every
day
over
30
consecutive
days
during
a
naturally
occurring
menstrual
cycle
again
year
later
while
using
combined
hormonal
contraceptive.
Here
we
calculated
graph
theory-derived,
whole-brain,
network-level
measures
(modularity
system
segregation)
global
(characteristic
path
length)
as
well
Leading
Eigenvector
Dynamic
Analysis
diametrical
clustering.
These
metrics
were
for
each
scan
session
the
serial
sampling
periods
to
compare
between
subject’s
natural
cycles.
Modularity,
segregation,
characteristic
length
statistically
significantly
higher
across
compared
scans.
We
also
observed
shift
in
prevalence
of
two
discrete
states
when
Our
results
suggest
more
network-structured
architecture
cycle,
whereas
use
is
associated
with
generally
increased
structure
evidenced
lower
length.
The
this
repeated,
single-subject
analysis
allude
possible
effects
on
brain-wide
connectivity,
which
should
be
evaluated
cohort
resolve
extent
these
generalize
population
impact
year-long
period
conditions.
Abstract
Most
neuroimaging
studies
of
the
pathogenesis
early
mild
cognitive
impairment
(EMCI)
rely
on
a
node‐centric
network
model,
which
only
calculates
correlations
between
brain
regions.
Considering
interaction
low‐order
pairs
regions,
we
use
an
edge‐centric
model
to
study
high‐order
functional
correlations.
Here,
compute
edge
time
series
(eTS)
obtain
overlapping
communities
and
relationship
subnetworks
in
space.
Then,
based
communities,
calculate
normalized
entropy
measure
diversity
each
node.
Next,
high‐amplitude
co‐fluctuation
eTS
explore
pattern
activity
with
temporal
precision.
Our
results
show
that
normal
control
EMCI
patients
differ
subnetworks,
whole
brain.
In
particular,
values
gradual
decrease,
increases
disease
progression.
is
first
investigate
from
perspective
spatiotemporal
flexibility
connectivity,
further
characterizing
dynamics
providing
new
insights
into
search
for
biomarkers
EMCI.
Brain
activity
continuously
fluctuates
over
time,
even
if
the
brain
is
in
controlled
(e.g.,
experimentally
induced)
states.
Recent
years
have
seen
an
increasing
interest
understanding
complexity
of
these
temporal
variations,
for
example
with
respect
to
developmental
changes
function
or
between-person
differences
healthy
and
clinical
populations.
However,
psychometric
reliability
signal
variability
measures
–
which
important
precondition
robust
individual
as
well
longitudinal
research
not
yet
sufficiently
studied.
We
examined
(split-half
correlations)
test-retest
correlations
task-free
(resting-state)
BOLD
fMRI
split-half
seven
functional
task
datasets
from
Human
Connectome
Project
evaluate
their
reliability.
observed
good
excellent
derived
rest
activation
time
series
(standard
deviation,
mean
absolute
successive
difference,
squared
difference),
moderate
same
under
conditions.
estimates
(several
entropy
dimensionality
measures)
showed
reliabilities
both,
calculated
also
time-resolved
(dynamic)
connectivity
series,
measures,
but
poor
series.
Global
(i.e.,
across
cortical
regions)
tended
show
higher
than
region-specific
estimates.
Larger
subcortical
regions
had
similar
regions,
small
lower
reliability,
especially
measures.
Lastly,
we
that
scores
only
minorly
dependent
on
scan
length
replicate
our
results
different
parcellation
denoising
strategies.
These
suggest
are
well-suited
research.
Temporal
global
provides
novel
approach
robustly
quantifying
dynamics
function.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 10, 2023
Abstract
Cyclic
fluctuations
in
hypothalamic-pituitary-gonadal
axis
(HPG-axis)
hormones
exert
powerful
behavioral,
structural,
and
functional
effects
through
actions
on
the
mammalian
central
nervous
system.
Yet,
very
little
is
known
about
how
these
alter
structural
nodes
information
highways
of
human
brain.
In
a
study
30
naturally
cycling
women,
we
employed
multidimensional
diffusion
T
1
-weighted
imaging
during
three
estimated
menstrual
cycle
phases
(menses,
ovulation,
mid-luteal)
to
investigate
whether
HPG-axis
hormone
concentrations
co-fluctuate
with
alterations
white
matter
(WM)
microstructure,
cortical
thickness
(CT),
brain
volume.
Across
whole
brain,
17β-estradiol
luteinizing
(LH)
were
directly
proportional
anisotropy
(μFA),
while
follicle-stimulating
(FSH)
was
thickness.
Within
several
individual
regions,
FSH
progesterone
demonstrated
opposing
associations
mean
diffusivity
These
regions
mainly
reside
within
temporal
occipital
lobes,
implications
for
limbic
visual
systems.
Lastly,
associated
increased
tissue
decreased
CSF
volumes,
total
volume
remaining
unchanged.
results
are
first
report
simultaneous
brain-wide
changes
WM
microstructure
coinciding
cycle-driven
rhythms.
Strong
brain-hormone
interaction
may
not
be
limited
classically
receptor-dense
regions.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 5, 2024
Human
neuroimaging
studies
consistently
show
multimodal
patterns
of
variability
along
a
key
principle
macroscale
cortical
organization
-
the
sensorimotor-association
(S-A)
axis.
However,
little
is
known
about
day-to-day
fluctuations
in
functional
activity
this
axis
within
an
individual,
including
sex-specific
neuroendocrine
factors
contributing
to
such
transient
changes.
We
leveraged
data
from
two
densely
sampled
healthy
young
adults,
one
female
and
male,
investigate
intra-individual
daily
S-A
axis,
which
we
computed
as
our
measure
by
reducing
dimensionality
connectivity
matrices.
Daily
was
greatest
temporal
limbic
ventral
prefrontal
regions
both
participants,
more
strongly
pronounced
male
subject.
Next,
probed
local-
system-level
effects
steroid
hormones
self-reported
perceived
stress
on
organization.
Our
findings
revealed
modest
that
differed
between
hinting
at
subtle
-potentially
sex-specific-
associations
In
sum,
study
points
possible
modulators
brain
organization,
highlighting
need
for
further
research
larger
samples.
Brain and Behavior,
Год журнала:
2024,
Номер
14(9)
Опубликована: Сен. 1, 2024
Abstract
Aim
In
the
aftermath
of
natural
disasters,
understanding
intricate
links
between
mental
health
and
physiological
responses,
such
as
menstrual
cycle
patterns,
becomes
crucial.
This
study
explores
relationship
post‐traumatic
stress
irregularities
among
women
reproductive
age
residing
in
regions
affected
by
2023
earthquake
Turkey.
Methods
309
living
11
provinces
centered
Kahramanmaraş
on
February
6,
declared
disaster
areas
constituted
sample.
Data
were
collected
online
using
Google
forms
nine
months
after
earthquake.
The
data
obtained
Participant
Information
Form,
Impact
Events
Scale
Post‐traumatic
Stress
Disorder‐Short
Form.
analysis,
descriptive
statistics
count,
percentage,
median,
minimum,
maximum
used,
along
with
statistical
tests
including
Mann–Whitney
U
test,
chi‐squared
multiple
logistic
regression
ROC
analysis.
Results
study,
an
increase
was
observed
following
(%14.3
to
%44.8,
p
<
.001).
Risk
factors
for
included
symptoms,
comorbid
chronic
diseases,
smoking.
prevalence
PTSD
found
be
22.7%
this
associated
irregularities.
Setting
cut‐off
score
IES‐R
scale
at
45.50
resulted
higher
sensitivity
detecting
irregular
cycles.
Conclusions
Women's
cycles
are
Therefore,
post‐earthquake
recovery
programs
should
specifically
address
protection
women's
physical
health.
comprehensive
approach
can
reduce
effects
earthquake‐induced
trauma.