Stroke Clinical Trial
Official title:
Does Ekso Improve Motor Function and Neuroplasticity in Pazients Affected by Chronic Stroke? A Rondomized Pilot Study
The use of neurorobotic devices into gait rehabilitative programs, including Ekso, is
reported to increase the engagement and motivation of the patients while actively performing
a task, and to shape the sensory-motor plasticity (SMP) and its balance between the primary
motor areas (M1), and the fronto-parietal network (FPN) connectivity, thus contributing to
successful gait rehabilitation. Aim of our study was to assess whether Ekso would foster the
recovery of deteriorated FPN connectivity and SMP patterns involved in limb coordination
during walking in a sample of patients with hemiparesis due to stroke.
Twenty outpatients were consecutively included in this study according to the following
inclusion criteria: (i) age ≥55 years; (ii) a first-ever ischemic supra-tentorial stroke
(confirmed by MRI scan) at least 6 months before their enrollment; (iii) an unilateral
hemiparesis, with a Muscle Research Council -MCR- score ≤3; (iv) ability to follow verbal
instructions, with a Mini-Mental State Examination (MMSE) >24; (v) a Modified Ashworth Scale
(MAS) score ≤2; (vi) no severe bone or joint disease; and (vii) no history of concomitant
neurodegenerative diseases or brain surgery.
Patients were randomly assigned to the experimental (Ekso gait training -EGT) of control
group (conventional overground gait training -OGT- at a velocity matched to the Ekso gait
training).
Ekso (Ekso Bionics; Richmond -CA- USA) is a wearable robot consisting of an exoskeleton
framework for the lower limbs with (1) electric motors to power movement for the hip and knee
joints, (2) passive spring-loaded ankle joints, (3) foot plates on which the user stands, and
(4) a backpack that houses a computer, battery supply, and wired controller. A rigid backpack
is an integral structural component of the exoskeleton, which provides support from the
posterior pelvis to the upper back, besides carrying the computer and batteries. The
exoskeleton attaches to the user's body with straps over the dorsum of the foot, anterior
shin and thigh, abdomen, and anterior shoulders. The limb and pelvic segments are adjustable
to the user's leg and thigh length, and the segment across the pelvis is adjustable for hip
width and hip abduction angle. We preliminarily measured M1-leg excitability and SMI, which
were probed using TMS pulses with a monophasic pulse configuration and peripheral nerve
electric stimuli. Single magnetic pulses were given to the affected and unaffected leg-M1
using a standard figure-of-eight coil (diameter of each wing, 90 mm) connected with a
high-power Magstim200 stimulator (Magstim Co, Ltd; UK).
Effective connectivity (that measures the causal influence that one brain area exerts over
another under the assumption of a given mechanistic model) was assessed using a structural
equation modelling (SEM). An 8-channel wireless surface EMG (sEMG) device (BTS; Milan, Italy)
was used to record EMG activity from eight muscles (both tibialis anterior -TA-, soleus -S-,
rectus femoris -RF-, and biceps femoris -BF). The device was also equipped with an
accelerometer, put at lumbar level, to establish gait phases. Gait analysis was conducted on
a 10-meter walkway.
We measured the following gait measures for both the affected and unaffected lower limb [20]:
(i) step cadence (number of steps per minute; normal values 1.9±0.1 Hz);. (ii) gait cycle
duration (time from one right heel strike -initial contact- to the next one -end of terminal
swing; normal values 1.1±0.1 sec); (iii) stance/swing ratio (ratio between stance from heel
strike to toe-off, and swing phase duration from toe-off to heel strike; normal values
1.5±0.1); .and (iv) an overall gait performance score (gait index, reflecting an approximate
60:40% distribution of stance:swing phases; normal values >90).
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