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Identifying 22q11.2 deletion syndrome and psychosis using resting-state connectivity patterns.
[22q11.2 deletion syndrome]
The
clinical
picture
associated
with
22
q
11
.
2
deletion
syndrome
(
22
q
11
DS
)
includes
mild
mental
retardation
and
an
increased
risk
of
schizophrenia
.
While
the
clinical
phenotype
has
been
related
to
structural
brain
network
alterations
,
there
is
only
scarce
information
about
functional
connectivity
in
22
q
11
DS
.
However
,
such
studies
could
lead
to
a
better
comprehension
of
the
disease
and
reveal
potential
biomarkers
for
psychosis
.
A
connectivity
decoding
approach
was
used
to
discriminate
between
42
patients
with
22
q
11
DS
and
41
controls
using
resting-
state
connectivity
.
The
same
method
was
then
applied
within
the
22
q
11
DS
group
to
identify
brain
connectivity
patterns
specifically
related
to
the
presence
of
psychotic
symptoms
.
An
accuracy
of
84
Â
%
was
achieved
in
differentiating
patients
with
22
q
11
DS
from
controls
.
The
discriminative
connections
were
widespread
,
but
predominantly
located
in
the
bilateral
frontal
and
right
temporal
lobes
,
and
were
significantly
correlated
to
IQ
.
An
88
Â
%
accuracy
was
obtained
for
identification
of
existing
psychotic
symptoms
within
the
patients
group
.
The
regions
containing
most
discriminative
connections
included
the
anterior
cingulate
cortex
(
ACC
)
,
the
left
superior
temporal
and
the
right
inferior
frontal
gyri
.
Functional
connectivity
alterations
in
22
q
11
DS
affect
mostly
frontal
and
right
temporal
lobes
and
are
related
to
the
syndrome
's
mild
mental
retardation
.
These
results
also
provide
evidence
that
resting-
state
connectivity
can
potentially
become
a
biomarker
for
psychosis
and
that
ACC
plays
an
important
role
in
the
development
of
psychotic
symptoms
.
Diseases
Validation
Diseases presenting
"that acc plays an important role in the development of psychotic symptoms"
symptom
22q11.2 deletion syndrome
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