NeuroImage Clinical,
Journal Year:
2022,
Volume and Issue:
34, P. 103020 - 103020
Published: Jan. 1, 2022
The
frontal
aslant
tract
(FAT)
is
a
recently
described
intralobar
that
connects
the
superior
and
inferior
gyri.
FAT
has
been
implicated
in
various
speech
language
processes
disorders,
including
motor
impairments,
stuttering
opercular
syndrome,
verbal
fluency,
but
specific
function(s)
of
have
yet
to
be
elucidated.
In
current
study,
we
aimed
address
this
knowledge
gap
by
investigating
underlying
role
plays
aspects
abilities
post-stroke
aphasia.
Our
goals
were
three-fold:
1)
To
identify
which
or
are
impacted
damage
utilizing
powerful
imaging
analysis
method,
High
Angular
Resolution
Diffusion
Imaging
(HARDI)
tractography;
2)
determine
whether
associated
with
functional
deficits
on
range
tasks
even
when
accounting
for
cortical
adjacent
regions;
3)
explore
subsections
(lateral
medial
segments)
play
distinct
roles
performance.
We
hypothesized
would
most
strongly
performance
comparison
tasks.
analyzed
HARDI
data
from
thirty-three
people
aphasia
(PWA)
history
chronic
left
hemisphere
stroke.
metrics
related
scores
several
tests:
Motor
Speech
Evaluation
(MSE),
Western
Aphasia
Battery
(WAB)
quotient
subtests,
Boston
Naming
Test
(BNT).
results
indicated
integrity
was
MSE
as
predicted,
weakly
negatively
WAB
subtest
Naming,
Comprehension,
Repetition,
likely
reflecting
fact
these
subtests
posterior
areas
brain
unlikely
damaged
lesion.
also
performed
hierarchical
stepwise
regressions
predict
function
based
properties
lesion
load
surrounding
areas.
After
contributions
gyrus,
ventral
precentral
gyrus
insula,
still
remained
significant
predictor
apraxia
scores.
further
showed
lateral
did
not
appear
rather
may
indicate
normal
anatomical
variations
FAT.
Overall,
unique
speech.
These
our
understanding
white
matter
tracts
language.
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: April 8, 2024
Abstract
Diffusion-weighted
MRI
(dMRI)
is
a
widely
used
neuroimaging
modality
that
permits
the
in
vivo
exploration
of
white
matter
connections
human
brain.
Normative
structural
connectomics
–
application
large-scale,
group-derived
dMRI
datasets
to
out-of-sample
cohorts
have
increasingly
been
leveraged
study
network
correlates
focal
brain
interventions,
insults,
and
other
regions-of-interest
(ROIs).
Here,
we
provide
normative,
whole-brain
connectome
MNI
space
enables
researchers
interrogate
fiber
streamlines
are
likely
perturbed
by
given
ROIs,
even
absence
subject-specific
data.
Assembled
from
multi-shell
data
985
healthy
Human
Connectome
Project
subjects
using
generalized
Q-sampling
imaging
multispectral
normalization
techniques,
this
comprises
~12
million
unique
streamlines,
largest
date.
It
has
already
utilized
at
least
18
peer-reviewed
publications,
most
frequently
context
neuromodulatory
interventions
like
deep
stimulation
focused
ultrasound.
Now
publicly
available,
will
constitute
useful
tool
for
understanding
wider
impact
perturbations
on
architecture
going
forward.
Brain,
Journal Year:
2024,
Volume and Issue:
147(7), P. 2483 - 2495
Published: May 3, 2024
Network
neuroscience
offers
a
unique
framework
to
understand
the
organizational
principles
of
human
brain.
Despite
recent
progress,
our
understanding
how
brain
is
modulated
by
focal
lesions
remains
incomplete.
Resection
temporal
lobe
most
effective
treatment
control
seizures
in
pharmaco-resistant
epilepsy
(TLE),
making
this
syndrome
powerful
model
study
lesional
effects
on
network
organization
young
and
middle-aged
adults.
Here,
we
assessed
downstream
consequences
lesion
its
surgical
resection
brain's
structural
connectome,
explored
reorganization
relates
clinical
variables
at
individual
patient
level.
We
included
adults
with
TLE
(n
=
37)
who
underwent
anterior
lobectomy
between
two
imaging
time
points,
as
well
age-
sex-matched
healthy
controls
comparable
31).
Core
analysis
was
projection
high-dimensional
connectome
data-derived
from
diffusion
MRI
tractography
each
subject-into
lower-dimensional
gradients.
then
compared
gradients
patients
relative
before
surgery,
tracked
surgically-induced
reconfiguration
pre-
postoperative
examined
associations
patient-specific
phenotypes.
Before
individuals
presented
marked
changes
bilateral
temporo-parietal
regions,
reflecting
an
increased
segregation
ipsilateral
rest
Surgery-induced
localized
subnetwork,
but
primarily
involved
integration
contralateral
regions
Using
partial
least-squares
analysis,
uncovered
latent
signature
underlying
reorganization,
showing
that
displayed
fronto-occipital
cortices
also
had
greater
preoperative
hippocampal
atrophy,
lower
seizure
frequency
secondarily
generalized
seizures.
Our
results
bridge
their
resections
large-scale
interindividual
variability,
thus
offering
new
avenues
examine
fundamental
malleability
Brain Communications,
Journal Year:
2021,
Volume and Issue:
3(2)
Published: April 1, 2021
Cognitive
impairment
is
a
frequent
and
disabling
sequela
of
stroke.
There
however
incomplete
understanding
how
lesion
topographies
in
the
left
right
cerebral
hemisphere
brain
interact
to
cause
distinct
cognitive
deficits.
We
integrated
machine
learning
Bayesian
hierarchical
modelling
enable
hemisphere-aware
analysis
1080
acute
ischaemic
stroke
patients
with
deep
profiling
∼3
months
after
show
relevance
prediction
language
memory
assessments
visuospatial
functioning.
Global
impairments
were
equally
well
predicted
by
from
both
sides.
Damage
hippocampal
occipital
regions
on
was
particularly
informative
about
lost
naming
functions,
while
damage
these
linked
predominantly
lesioned
tissue
supramarginal
angular
gyrus,
post-central
gyrus
as
lateral
opercular
cortices
hemisphere.
Hence,
our
strategy
uncovered
that
patterns
unique
hemispheric
distributions
are
characteristic
capacity
due
damage.
Journal of Personalized Medicine,
Journal Year:
2022,
Volume and Issue:
12(1), P. 59 - 59
Published: Jan. 6, 2022
Stroke
constitutes
the
main
cause
of
adult
disability
worldwide.
Even
after
application
standard
rehabilitation
protocols,
majority
patients
still
show
relevant
motor
impairment.
Outcomes
protocols
have
led
to
mixed
results,
suggesting
that
factors
for
brain
re-organization
stroke
not
been
considered
in
explanatory
models.
Therefore,
finding
a
comprehensive
model
optimally
define
patient-dependent
represents
crucial
topic
clinical
neuroscience.
In
this
context,
we
first
report
on
models
conceived
thus
far
attempt
predicting
outcomes.
Then,
propose
new
framework
interpret
results
literature
light
latest
evidence
regarding:
(1)
role
callosum
inter-hemispheric
communication,
(2)
prefrontal
cortices
exerting
control
function,
and
(3)
diaschisis
mechanisms.
These
pieces
can
help
understand
which
compensatory
mechanism
may
take
place
following
stroke.
Moreover,
depending
individual
impairment,
network
will
play
different
roles
according
need
high-level
control.
We
believe
our
model,
includes
overlooked
factors,
enable
clinicians
better
individualized
protocols.
NeuroImage Clinical,
Journal Year:
2022,
Volume and Issue:
34, P. 103020 - 103020
Published: Jan. 1, 2022
The
frontal
aslant
tract
(FAT)
is
a
recently
described
intralobar
that
connects
the
superior
and
inferior
gyri.
FAT
has
been
implicated
in
various
speech
language
processes
disorders,
including
motor
impairments,
stuttering
opercular
syndrome,
verbal
fluency,
but
specific
function(s)
of
have
yet
to
be
elucidated.
In
current
study,
we
aimed
address
this
knowledge
gap
by
investigating
underlying
role
plays
aspects
abilities
post-stroke
aphasia.
Our
goals
were
three-fold:
1)
To
identify
which
or
are
impacted
damage
utilizing
powerful
imaging
analysis
method,
High
Angular
Resolution
Diffusion
Imaging
(HARDI)
tractography;
2)
determine
whether
associated
with
functional
deficits
on
range
tasks
even
when
accounting
for
cortical
adjacent
regions;
3)
explore
subsections
(lateral
medial
segments)
play
distinct
roles
performance.
We
hypothesized
would
most
strongly
performance
comparison
tasks.
analyzed
HARDI
data
from
thirty-three
people
aphasia
(PWA)
history
chronic
left
hemisphere
stroke.
metrics
related
scores
several
tests:
Motor
Speech
Evaluation
(MSE),
Western
Aphasia
Battery
(WAB)
quotient
subtests,
Boston
Naming
Test
(BNT).
results
indicated
integrity
was
MSE
as
predicted,
weakly
negatively
WAB
subtest
Naming,
Comprehension,
Repetition,
likely
reflecting
fact
these
subtests
posterior
areas
brain
unlikely
damaged
lesion.
also
performed
hierarchical
stepwise
regressions
predict
function
based
properties
lesion
load
surrounding
areas.
After
contributions
gyrus,
ventral
precentral
gyrus
insula,
still
remained
significant
predictor
apraxia
scores.
further
showed
lateral
did
not
appear
rather
may
indicate
normal
anatomical
variations
FAT.
Overall,
unique
speech.
These
our
understanding
white
matter
tracts
language.