bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 15, 2024
Abstract
The
large
number
of
different
analytical
choices
researchers
use
may
be
partly
responsible
for
the
replication
challenge
in
neuroimaging
studies.
For
robustness
analysis,
knowledge
full
space
options
is
essential.
We
conducted
a
systematic
literature
review
to
identify
decisions
functional
data
preprocessing
and
analysis
emerging
field
cognitive
network
neuroscience.
found
61
steps,
with
17
them
having
debatable
options.
Scrubbing,
global
signal
regression,
spatial
smoothing
are
among
controversial
steps.
There
no
standardized
order
which
steps
applied,
within
several
vary
widely
across
By
aggregating
pipelines
studies,
we
propose
three
taxonomic
levels
categorize
choices:
1)
inclusion
or
exclusion
specific
2)
distinct
sequencing
3)
parameter
tuning
To
facilitate
access
data,
developed
decision
support
app
high
educational
value
called
METEOR,
allows
explore
as
reference
well-informed
(multiverse)
analysis.
Highlights
Data
variability
hinders
replicability.
Analysis
multiple
defensible
examines
results.
identified
102
performing
graph-fMRI
Interactive
visualization
these
available
Shiny
app.
Cells,
Год журнала:
2024,
Номер
13(10), С. 790 - 790
Опубликована: Май 7, 2024
Translational
research
in
neurological
and
psychiatric
diseases
is
a
rapidly
advancing
field
that
promises
to
redefine
our
approach
these
complex
conditions
[...]
Physical Review Research,
Год журнала:
2025,
Номер
7(1)
Опубликована: Фев. 5, 2025
To
determine
the
precise
link
between
anatomical
structure
and
function,
brain
studies
primarily
concentrate
on
wiring
of
its
topological
properties.
In
this
work,
we
investigate
weighted
degree
connection
length
distributions
KKI-113
KKI-18
human
connectomes,
fruit
fly,
mouse
retina.
We
find
that
node
strength
(weighted
degree)
distribution
behavior
differs
depending
considered
scale.
On
global
scale,
are
found
to
follow
a
power-law
behavior,
with
roughly
universal
exponent
close
3.
However,
breaks
at
local
scale
as
stretched
exponential,
fly
retina
log-normal
distribution,
respectively,
which
indicative
underlying
random
multiplicative
processes
underpins
nonlocality
learning
in
critical
state.
for
case
H01
(1mm3)
datasets,
an
exponentially
truncated
power
law,
may
hint
fact
mechanism
have
manifested
level
too.
Published
by
American
Physical
Society
2025
The
function
of
the
neocortex
is
fundamentally
determined
by
its
repeating
microcircuit
motif,
but
also
rich,
interregional
connectivity.
We
present
a
data-driven
computational
model
anatomy
non-barrel
primary
somatosensory
cortex
juvenile
rat,
integrating
whole-brain
scale
data
while
providing
cellular
and
subcellular
specificity.
consists
4.2
million
morphologically
detailed
neurons,
placed
in
digital
brain
atlas.
They
are
connected
14.2
billion
synapses,
comprising
local,
mid-range
extrinsic
delineated
limits
determining
connectivity
from
neuron
morphology
placement,
finding
that
it
reproduces
targeting
Sst+
requires
additional
specificity
to
reproduce
PV+
VIP+
interneurons.
Globally,
was
characterized
local
clusters
tied
together
through
hub
neurons
layer
5,
demonstrating
how
interegional
complicit,
inseparable
networks.
suitable
for
simulation-based
studies,
211,712
subvolume
made
openly
available
community.
The
function
of
the
neocortex
is
fundamentally
determined
by
its
repeating
microcircuit
motif,
but
also
rich,
interregional
connectivity.
We
present
a
data-driven
computational
model
anatomy
non-barrel
primary
somatosensory
cortex
juvenile
rat,
integrating
whole-brain
scale
data
while
providing
cellular
and
subcellular
specificity.
consists
4.2
million
morphologically
detailed
neurons,
placed
in
digital
brain
atlas.
They
are
connected
14.2
billion
synapses,
comprising
local,
mid-range
extrinsic
delineated
limits
determining
connectivity
from
neuron
morphology
placement,
finding
that
it
reproduces
targeting
Sst+
requires
additional
specificity
to
reproduce
PV+
VIP+
interneurons.
Globally,
was
characterized
local
clusters
tied
together
through
hub
neurons
layer
5,
demonstrating
how
interegional
complicit,
inseparable
networks.
suitable
for
simulation-based
studies,
211,712
subvolume
made
openly
available
community.
Human Brain Mapping,
Год журнала:
2024,
Номер
45(5)
Опубликована: Март 29, 2024
Abstract
Healthy
aging
is
associated
with
a
heterogeneous
decline
across
cognitive
functions,
typically
observed
between
language
comprehension
and
production
(LP).
Examining
resting‐state
fMRI
neuropsychological
data
from
628
healthy
adults
(age
18–88)
the
CamCAN
cohort,
we
performed
state‐of‐the‐art
graph
theoretical
analysis
to
uncover
neural
mechanisms
underlying
this
variability.
At
level,
our
findings
suggest
that
LP
not
an
isolated
function
but
modulated
throughout
lifespan
by
extent
of
inter‐cognitive
synergy
semantic
domain‐general
processes.
cerebral
show
default
mode
network
(DMN)
suppression
coupled
fronto‐parietal
(FPN)
integration
way
for
brain
compensate
effects
dedifferentiation
at
minimal
cost,
efficiently
mitigating
age‐related
in
LP.
Relatedly,
reduced
DMN
midlife
could
compromise
ability
manage
cost
FPN
integration.
This
may
prompt
older
adopt
more
cost‐efficient
compensatory
strategy
maintains
global
homeostasis
expense
performances.
Taken
together,
propose
represents
critical
neurocognitive
juncture
signifies
onset
decline,
as
gradually
lose
control
over
representations.
We
summarize
novel
synergistic,
economical,
nonlinear,
emergent,
model,
integrating
connectomic
dimensions
within
complex
system
perspective.
Cell Reports,
Год журнала:
2024,
Номер
43(6), С. 114267 - 114267
Опубликована: Май 24, 2024
In
the
adult
brain,
structural
and
functional
parameters,
such
as
synaptic
sizes
neuronal
firing
rates,
follow
right-skewed
heavy-tailed
distributions.
While
this
organization
is
thought
to
have
significant
implications,
its
development
still
largely
unknown.
Here,
we
address
knowledge
gap
by
investigating
a
large-scale
dataset
recorded
from
prefrontal
cortex
olfactory
bulb
of
mice
aged
4–60
postnatal
days.
We
show
that
rates
spike
train
interactions
stable
distribution
shape
throughout
first
60
days
displays
small-world
architecture.
Moreover,
early
brain
activity
exhibits
an
oligarchical
organization,
where
high-firing
neurons
hub-like
properties.
neural
network
model,
analogously
parameters
are
instrumental
consistently
recapitulate
experimental
data.
Thus,
in
developing
already
extremely
distributed,
suggesting
preconfigured
not
experience
dependent.
