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Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations.
[22q11.2 deletion syndrome]
Schizophrenia
is
postulated
to
be
the
prototypical
dysconnection
disorder
,
in
which
hallucinations
are
the
core
symptom
.
Due
to
high
heterogeneity
in
methodology
across
studies
and
the
clinical
phenotype
,
it
remains
unclear
whether
the
structural
brain
dysconnection
is
global
or
focal
and
if
clinical
symptoms
result
from
this
dysconnection
.
In
the
present
work
,
we
attempt
to
clarify
this
issue
by
studying
a
population
considered
as
a
homogeneous
genetic
sub-
type
of
schizophrenia
,
namely
the
22
q
11
.
2
deletion
syndrome
(
22
q
11
.
2
DS
)
.
Cerebral
MRIs
were
acquired
for
46
patients
and
48
age
and
gender
matched
controls
(
aged
6
-
26
,
respectively
mean
age
=
15
.
20
±
4
.
53
and
15
.
28
±
4
.
35
years
old
)
.
Using
the
Connectome
mapper
pipeline
(
connectomics
.
org
)
that
combines
structural
and
diffusion
MRI
,
we
created
a
whole
brain
network
for
each
individual
.
Graph
theory
was
used
to
quantify
the
global
and
local
properties
of
the
brain
network
organization
for
each
participant
.
A
global
degree
loss
of
6
%
was
found
in
patients
'
networks
along
with
an
increased
Characteristic
Path
Length
.
After
identifying
and
comparing
hubs
,
a
significant
loss
of
degree
in
patients
'
hubs
was
found
in
58
%
of
the
hubs
.
Based
on
Allen
's
brain
network
model
for
hallucinations
,
we
explored
the
association
between
local
efficiency
and
symptom
severity
.
Negative
correlations
were
found
in
the
Broca
's
area
(
p
<
0
.
004
)
,
the
Wernicke
area
(
p
<
0
.
023
)
and
a
positive
correlation
was
found
in
the
dorsolateral
prefrontal
cortex
(
DLPFC
)
(
p
<
0
.
014
)
.
In
line
with
the
dysconnection
findings
in
schizophrenia
,
our
results
provide
preliminary
evidence
for
a
targeted
alteration
in
the
brain
network
hubs
'
organization
in
individuals
with
a
genetic
risk
for
schizophrenia
.
The
study
of
specific
disorganization
in
language
,
speech
and
thought
regulation
networks
sharing
similar
network
properties
may
help
to
understand
their
role
in
the
hallucination
mechanism
.
Diseases
Validation
Diseases presenting
"brain network model"
symptom
22q11.2 deletion syndrome
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