Francesco Santini1,2, Dirk Fischer3, Oliver Bieri1,2, and Xeni Deligianni1,2
1Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Pediatric Neurology, UniversitätsKinderspital beider Basel (UKBB), Basel, Switzerland
Synopsis
Dynamic 31P spectroscopy of the
skeletal muscle can provide useful insight into its energy
metabolism. However, in order to see dynamic changes in metabolites,
a minimum threshold of physical exercise is necessary. In this work,
we present a system that uses electrical muscle stimulation
superimposed to volitional muscle contraction in order to enhance the
metabolic response of the muscle in the same workload condition. This
method can have potential application to patients that are unable to
voluntarily exert sufficient work for a dynamic spectroscopy
investigation.
Introduction
31P
spectroscopy during exercise is a valuable method to investigate
muscle energy metabolism. However, in order to yield significant
metabolic changes, a minimum level of induced muscle fatigue is
necessary, which could be challenging for patients with premature
fatigue or other neuromuscular impairments. While electrical muscle
stimulation (EMS) can be a valid alternative to volitional exercise1, the type of elicited response is not exactly the same. It has
been proposed2,3 that superimposing EMS to volitional exercise can
enhance the metabolic response while maintaining other exercise
parameters constant.
In
this work, we present a design for the acquisition of dynamic 31P
spectra during superimposed EMS and volitional exercise (a protocol
that we name SEMS for brevity) and show an in vivo feasibility test
of this system at 3T.Methods
A
custom system was developed for the acquisition of 31P spectra during
SEMS, comprising a commercial, low-cost dual-channel electrical
muscle stimulator connected to a custom microcontroller-based
circuit. The circuit was responsible for generating a trigger signal
synchronized with the stimulation and to communicate with an external
computer via optical fiber serial connection. The external computer
was used to enable/disable the delivery of the stimulus to the muscle
and to generate audio cues synchronized with the stimulation. The
acquisition was performed on a 3T whole-body scanner equipped with a
dual-tuned 1H/31P surface coil and a commercial MR-safe
air-pressure-operated ergometer for the activation of the triceps
surae (plantar flexion).
After
preliminary experiments to establish the mutual interference between
EMS and acquisition, two exercise sessions were performed on
different days.
Non-localized
FIDs were acquired in rest for saturation correction (TR/TE:
15000/0.35ms, averages: 16, flip angle: 42°, vector size: 1024,
bandwidth: 3000Hz). γATP was used for calculation of absolute
concentration. Next, a standard exercise protocol (2min rest, 5min
exercise, 5min recovery) was executed and dynamic spectra were
acquired. EMS was delivered through saline-based electrodes placed on
the triceps surae during the exercise phase, with a periodic
stimulation with a 6s period (i.e. 10 extensions per minute). Audio
cues were presented to the subject in synchronization with the
stimulation (fig. 1).
Dynamic
spectra were acquired at each release phase with the following
parameters: TR/TE: 6000/0.35ms, averages: 1, flip angle: 70°, vector
size: 512, bandwidth: 3000Hz, measurements: 120.
In
each scanning session, the acquisition was repeated twice with a rest
of 20 minutes in-between, first with SEMS, and secondly with
volitional contraction only. On the first day, the EMS intensity was
set to 20mA; on the second day, it was set to 25mA. The pressure of
the ergometer was set to 0.90 bar.
Quantification
of the spectra was performed with the AMARES algorithm and then the
data were postprocessed to extract: pH, phosphocreatine (PCr) and
inorganic phosphate (Pi) time courses, PCr depletion, maximal
oxidative flux (Qmax). The ADP concentration was calculated according
to Kemp et al.4,5 assuming that 15% of the total Creatine was not
phosphorylated.Results
The
preliminary experiments showed that triggering was necessary to
obtain analyzable spectra (fig. 2, 3) to avoid electromagnetic
interference.
In
the exercise sessions, the one with the lower EMS intensity of 20mA
did not show an appreciable difference with respect to volitional
exercise. However, the SEMS session at 25mA showed a clear difference
in the PCr depletion curve with a higher PCr depletion for SEMS (fig.
4) and a higher Pi/PCr ratio (fig. 5).
In
this session, the Qmax was 0.57 for SEMS and 0.33 for volitional
exercise and PCr depletion was 19% for SEMS and 13% for volitional
exercise. The PCr recovery rate was 18.6s-1 for SEMS and 20.4s-1 for
volitional exercise. No appreciable difference in pH could be
measured.Discussion
The acquisition of 31P spectra
during exercise with superimposed electrical stimulation is
challenging, due to the necessity of synchronizing the stimulation,
the volitional contraction and the acquisition. However, preliminary
results indicate that for the same workload (in terms of antagonizing
force and frequency of contractions), the additional EMS can help
increase the metabolic response of the muscle, possibly thanks due to
the preferential recruitment of type II muscle fibers1. In this
work, we presented a solution that allows the implementation of this
method with little additional cost and complexity with respect to a
conventional 31P experiment. The demonstrated requirement of a
minimum threshold of stimulation is in line with previous reports of
synchronous EMS-MRI6.Conclusion
Superimposed
EMS with volitional exercise can be an effective tool for the study
of muscle metabolism in individuals that have difficulties in
performing exercise, thanks to the increased metabolic response for
equal workloads.Acknowledgements
This work was supported by the
Swiss Foundation for the Research on Muscle Diseases (FSRMM) and the
Lorenzo Piaggio foundation.References
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