Frontiers in Computational Neuroscience,
Journal Year:
2018,
Volume and Issue:
12
Published: Nov. 13, 2018
To
infer
the
causes
of
its
sensations,
brain
must
call
on
a
generative
(predictive)
model.
This
necessitates
passing
local
messages
between
populations
neurons
to
update
beliefs
about
hidden
variables
in
world
beyond
sensory
samples.
It
also
entails
inferences
how
we
will
act.
Active
inference
is
principled
framework
that
frames
perception
and
action
as
approximate
Bayesian
inference.
has
been
successful
accounting
for
wide
range
physiological
behavioural
phenomena.
Recently,
process
theory
emerged
attempts
relate
their
neurobiological
substrates.
In
this
paper,
review
develop
anatomical
aspects
theory.
We
argue
form
models
required
constrains
way
which
regions
connect
one
another.
Specifically,
neuronal
representing
variable
receive
input
from
Markov
blanket
variable.
illustrate
idea
four
different
domains:
perception,
planning,
attention,
movement.
doing
so,
attempt
show
appealing
enables
us
account
architectures.
Ultimately,
committing
an
ensures
can
empirical
hypotheses
be
tested
using
neuroimaging,
neuropsychological,
electrophysiological
experiments.
GigaScience,
Journal Year:
2018,
Volume and Issue:
7(3)
Published: Feb. 8, 2018
Patients
with
brain
lesions
provide
a
unique
opportunity
to
understand
the
functioning
of
human
mind.
However,
even
when
focal,
have
local
and
remote
effects
that
impact
functionally
structurally
connected
circuits.
Similarly,
function
emerges
from
interaction
between
areas
rather
than
their
sole
activity.
For
instance,
category
fluency
requires
associations
executive,
semantic,
language
production
functions.Here,
we
provide,
for
first
time,
set
complementary
solutions
measuring
given
lesion
on
neuronal
Our
methods,
which
were
applied
37
patients
focal
frontal
lesions,
revealed
large
directly
indirectly
disconnected
regions
had
significantly
impacted
performance.
The
corresponded
are
classically
considered
as
engaged
in
verbal
categorization
tasks.
These
also
organized
into
larger
functional
networks,
including
left
ventral
fronto-parietal
network,
whose
cortical
thickness
correlated
performance
fluency.The
combination
structural
connectivity
together
estimates
reveal
identification
affected
strengthen
our
understanding
relationship
cognitive
behavioral
measures.
methods
presented
available
freely
accessible
BCBtoolkit
supplementary
software
[1].
Scientific Reports,
Journal Year:
2016,
Volume and Issue:
6(1)
Published: July 29, 2016
To
meet
ongoing
cognitive
demands,
the
human
brain
must
seamlessly
transition
from
one
state
to
another,
in
process
drawing
on
different
systems.
How
does
brain's
network
of
anatomical
connections
help
facilitate
such
transitions?
Which
features
this
contribute
making
easy
and
another
difficult?
Here,
we
address
these
questions
using
control
theory.
We
calculate
optimal
input
signals
drive
states
dominated
by
The
allow
us
assess
contributions
made
regions.
show
that
contributions,
which
measure
as
energy,
are
correlated
with
regions'
weighted
degrees.
also
communicability,
a
direct
indirect
connectedness
between
regions,
predicts
extent
regions
compensate
when
region
is
suppressed.
Finally,
identify
should
start
(and
finish)
order
minimize
energy.
target
display
high
activity
hub
implicating
rich
club.
Furthermore,
club
organization
destroyed,
energy
cost
associated
transitions
increases
significantly,
demonstrating
it
richness
makes
them
ideal
targets.
Science,
Journal Year:
2022,
Volume and Issue:
378(6619), P. 505 - 510
Published: Nov. 3, 2022
There
is
more
to
brain
connections
than
the
mere
transfer
of
signals
between
regions.
Behavior
and
cognition
emerge
through
cortical
area
interaction.
This
requires
integration
local
distant
areas
orchestrated
by
densely
connected
networks.
Brain
determine
brain's
functional
organization.
The
imaging
in
living
has
provided
an
opportunity
identify
driving
factors
behind
neurobiology
cognition.
Connectivity
differences
species
among
humans
have
furthered
understanding
evolution
diverging
cognitive
profiles.
pathologies
amplify
this
variability
disconnections
and,
consequently,
disintegration
functions.
prediction
long-term
symptoms
now
preferentially
based
on
disconnections.
paradigm
shift
will
reshape
our
maps
challenge
current
models.
Brain,
Journal Year:
2020,
Volume and Issue:
143(7), P. 2173 - 2188
Published: May 21, 2020
Abstract
Behavioural
deficits
in
stroke
reflect
both
structural
damage
at
the
site
of
injury,
and
widespread
network
dysfunction
caused
by
structural,
functional,
metabolic
disconnection.
Two
recent
methods
allow
for
estimation
functional
disconnection
from
clinical
imaging.
This
is
achieved
embedding
a
patient’s
lesion
into
an
atlas
connections
healthy
subjects,
deriving
ensemble
that
pass
through
lesion,
thus
indirectly
estimating
its
impact
on
whole
brain
connectome.
indirect
assessment
more
readily
available
than
direct
measures
connectivity
obtained
with
diffusion
MRI,
respectively,
it
theory
applicable
to
wide
variety
disorders.
To
validate
relevance
these
methods,
we
quantified
prediction
behavioural
prospective
cohort
132
first-time
patients
studied
2
weeks
post-injury
(mean
age
52.8
years,
range
22–77;
63
females;
64
right
hemispheres).
Specifically,
used
multivariate
ridge
regression
relate
multiple
domains
(left
visual,
left
motor,
language,
spatial
attention,
verbal
memory)
pattern
or
In
subgroup
patients,
also
measured
alterations
resting-state
MRI.
Both
maps
were
predictive
impairment
all
(0.16
<
R2
0.58)
except
memory
(0.05
0.06).
Prediction
was
scarce
negligible
(0.01
0.18)
visual
field
(R2
=
0.38),
even
though
anatomically
plausible
domains.
MRI
subset
clearly
superior
conclusion,
successfully
predicted
post-stroke
level
comparable
information.
However,
did
not
predict
deficits,
nor
substitute
measurements,
especially
cognitive
Brain,
Journal Year:
2015,
Volume and Issue:
138(3), P. 746 - 760
Published: Jan. 19, 2015
Chronic
visual
neglect
prevents
brain-damaged
patients
from
returning
to
an
independent
and
active
life.
Detecting
predictors
of
persistent
as
early
possible
after
the
stroke
is
therefore
crucial
plan
relevant
interventions.
Neglect
signs
do
not
only
depend
on
focal
brain
lesions,
but
also
dysfunction
large-scale
networks
connected
by
white
matter
bundles.
We
explored
relationship
between
markers
axonal
degeneration
occurring
chronicity.
A
group
45
with
unilateral
strokes
in
right
hemisphere
underwent
cognitive
testing
for
twice,
first
at
subacute
phase
(<3
months
onset)
then
chronic
(>1
year).
For
each
patient,
magnetic
resonance
imaging
including
diffusion
sequences
was
performed
least
4
stroke.
After
masking
patient's
lesion,
we
used
tract-based
spatial
statistics
obtain
a
voxel-wise
statistical
analysis
fractional
anisotropy
data.
Twenty-seven
had
initial
testing.
Only
10
these
recovered
follow-up.
When
compared
without
neglect,
all
decreased
second
(II)
third
(III)
branches
superior
longitudinal
fasciculus,
well
splenium
corpus
callosum.
The
subgroup
showed
reduced
portion
splenium,
forceps
major,
which
provides
interhemispheric
communication
regions
occipital
lobe
parietal
lobules.
severity
correlated
values
fasciculus
II/III
its
caudal
patients.
Our
results
confirm
key
role
fronto-parietal
disconnection
emergence
persistence
demonstrate
implication
neglect.
Splenial
may
prevent
left
resolving
activity
imbalance
their
counterparts,
thus
leading
