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[Characterization of electrical brain activity related to hand motor imagery in healthy subjects.]
[locked-in syndrome]
Brain
computer
interface
systems
(
BCI
)
translate
the
intentions
of
patients
affected
with
locked-
in
syndrome
through
the
EEG
signal
characteristics
,
which
are
converted
into
commands
used
to
control
external
devices
.
One
of
the
strategies
used
,
is
to
decode
the
motor
imagery
of
the
subject
,
which
can
modify
the
neuronal
activity
in
the
sensory
-
motor
areas
in
a
similar
way
to
which
it
is
observed
in
real
movement
.
The
present
study
shows
the
activation
patterns
that
are
registered
in
motor
and
motor
imagery
tasks
of
right
and
left
hand
movement
in
a
sample
of
young
healthy
subjects
of
Mexican
nationality
.
By
means
of
frequency
analysis
it
was
possible
to
determine
the
difference
conditions
of
motor
imagery
and
movement
.
Using
U
Mann-
Whitney
tests
,
differences
with
statistical
significance
(
p
<
0
.
05
)
where
obtained
,
in
the
EEG
channels
C
3
,
Cz
,
C
4
,
T
3
and
P
3
in
the
mu
and
beta
rhythms
,
for
subjects
with
similar
characteristics
(
age
,
gender
,
and
education
)
.
With
these
results
,
it
would
be
possible
to
define
a
classifier
or
decoder
by
gender
that
improves
the
performance
rate
and
diminishes
the
training
time
,
with
the
goal
of
designing
a
functional
BCI
system
that
can
be
transferred
from
the
laboratory
to
the
clinical
application
in
patients
with
motor
disabilities
.
Diseases
Validation
Diseases presenting
"motor disabilities"
symptom
adrenomyeloneuropathy
alexander disease
locked-in syndrome
wolf-hirschhorn syndrome
x-linked adrenoleukodystrophy
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