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Brazilian Journal of Motor Behavior
Research Article
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Négyesi et al.
2020
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Navigated transcranial magnetic stimulation of the primary somatosensory cortex evokes
motor potentials in healthy humans’ flexor carpi radialis muscle - A pilot study
JÁNOS NÉGYESI
1
| TAKAYUKI MORI
2
| KOUTA ATAKA
2
| SHINICHI IZUMI
2
| TIBOR HORTOBÁGYI
3
| RYOICHI
NAGATOMI
1,4
1
Division of Biomedical Engineering for Health & Welfare, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
2
Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai, Japan.
3
Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
4
Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan.
Correspondence to:!János Négyesi. 2-1, Seiryo-machi, Aoba-ku, Sendai 980-8575, Japan. Tel/Fax: 8122-717-8588.
email: negyesi@tohoku.ac.jp
https://doi.org/10.20338/bjmb.v14i3.173
HIGHLIGHTS
No interhemispheric differences, but larger
peak-to-peak amplitudes and variability of
MEPs occurred after M1 as compared to S1
stimulation.
On the other hand, latency and waveforms of
MEPs did not differ between S1 vs. M1
stimulation.
• Our results indicate that TMS over S1 using a
90 mm outer diameter figure-of-eight coil is not
selective enough and can excite M1
interneurons thus producing MEPs on the
contralateral FCR.
• Future studies should carefully consider these
results when targeting S1 with TMS even if
using a neuronavigation system.
ABBREVIATIONS
CSE corticospinal excitability
ECR extensor carpi radialis muscle
EMG electromyography
FCR flexor carpi radialis muscle
FDI first dorsal interosseous muscle
M1 primary motor cortex
MEP motor evoked potential
MRI magnetic resonance imaging
rANOVA repeated measures analysis of
variance
rMT resting motor threshold
rMTS repetitive transcranial magnetic
stimulation
S1 primary somatosensory cortex
S2 secondary somatosensory cortex
TMS transcranial magnetic stimulation
PUBLICATION DATA
Received 26 04 2020
Accepted 23 07 2020
Published 01 09 2020
BACKGROUND: Background: Although previous studies targeted S1 by TMS to investigate its effect on the
corticospinal pathway, there is no evidence if such stimuli produced by TMS would distinctly be restricted to it
and not reach M1 interneurons adjacent to S1.
AIM: The aim of the present pilot study was to determine the effects of stimulation location, i.e., S1 vs. M1, on
MEP waveform-related parameters, including amplitude, latency, and variability in the contralateral FCR muscle.
METHOD: Healthy volunteers (n = 8, 2 females, age: 29.9 ± 5.49y) received single-pulse TMS over each
hemisphere at each intensity of 90, 100, 110, and 120% of rMT in a randomized order. MEPs from the
contralateral FCR were recorded.
RESULTS: We found no interhemispheric differences, but larger peak-to-peak amplitudes and variability of MEPs
after M1 as compared to S1 stimulation. However, latency and waveforms of MEPs did not differ between S1 vs.
M1 stimulation supporting the idea that TMS over S1 is not selective enough and can excite M1 interneurons
thus producing MEPs on the contralateral FCR.
CONCLUSION: Future studies should carefully consider these results when targeting S1 with TMS even if using a
neuronavigation system.
KEYWORDS: Brain Stimulation | FCR | Motor Cortex | Neuronavigation | Somatosensory Cortex
INTRODUCTION
Transcranial magnetic stimulation (TMS) is a neurophysiological technique that
makes it possible to non-invasively probe the functional integrity of the corticospinal tract
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and the function of the motor cortex, M1.
1
When TMS is delivered to the scalp over M1, it
may induce short-latency motor evoked potentials (MEPs) in contralateral limb muscles
through activating the pyramidal cells indirectly via excitatory interneurons.
2
These MEPs
can be recorded by electromyography (EMG). Although the induced field reaches the
target region of stimulation, it may involve adjacent brain regions. A commonly used
double-cone magnetic coil may produce a magnetic field in the brain tissue of up to
140mm radial from the center of the target region with smaller peripheral peaks of
approximately 50% the amplitude of the central peak on either side of the winding coil,
3
making it difficult to target a particular brain region with high selectivity.
The primary somatosensory cortex (S1), Brodmann areas 3,1 and 2, is known to
receive abundant projections from spinal and brain stem neurons that receive input from
myelinated afferents. These inputs from peripheral tactile, joint, tendon and muscle
receptors provide sensory information about limb position, movement sense, muscle
tension and force to the central nervous system and this information is used in turn to
control voluntary movements.
4
Somatosensory and motor interactions have a fundamental
role in motor control
5
and motor performance
6
, as afferent inputs are key determinants of
motor output. Therefore, the ascending somatosensory system plays a key role in
movement control and in the acquisition of new motor skills. In animal models, besides
these ascending pathways to the somatosensory cortex however, descending efferent
fibers from the sensory cortex have been confirmed, which show similar organization in the
brains of domestic dogs and cats, raccoons, and in a few species of monkeys and apes.
7
Brodmann area 3a, contains some of the largest corticospinal neurons outside the motor
cortex, area 4 and projections from both areas appear to overlap within the spinal cord,
8
and it appears to project slightly more dorsally within the spinal grey matter than does
Brodmann area 4.
9
Furthermore, areas 3b, 1, 2, and also the secondary somatosensory
area (S2) have projection, albeit sparse, from small diameter pyramids,
10
and they
terminate chiefly in the dorsal horn9. They may be the potential tracts to convey
descending signals to the muscles. Although electrophysiological studies
7-9
describing
descending pathways from S1 in animal models suggest that such S1 cells can be excited
by induced current, it remains unknown whether such descending pathways exist in
human.
In human, there is clear evidence that stimulation of the somatosensory area may
result in recordable and reproducible muscle twitches. A somatosensory evoked potential
is the electrical activity of the brain generated by the activation of sensory pathways at
peripheral, spinal, subcortical and cortical levels of the nervous system, elicited by
electrical, tactile, mechanical, or thermal stimuli.
11
Using optimal intensity peripheral
sensory stimuli may induce skeletal muscle response. Sensory signals from S1 may reach
pyramidal tract cells in layer V through monosynaptic connections or via oligosynaptic
connections, with interneurons relaying the signals in layers II and III,
12
resulting in a
descending volley to the muscle resulting in an MEP. Reasonably, latency of these MEPs
are longer compared with M1 TMS-evoked MEPs.
13
Previous studies have reported a high degree of variability in TMS-evoked
MEPs.
14,15
This variability can affect the interpretation of the results of studies investigating
changes in corticospinal excitability (CSE) after TMS. It can pose limitations and can also
make it difficult to determine whether reported changes in MEP amplitude are true
changes in CSE or whether they are merely a reflection of the inherent variability in TMS-
evoked MEPs
16
even if coil placement and stimulation intensity are constant.
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TMS over S1 has been extensively used to determine its effect on kinesthetic
perception
17
or in motor learning.
18
These studies, however, used coils with different size
that may pose variable range of influence on the adjacent area of the cortex. Moreover,
previous studies have targeted the extensor carpi radialis (ECR)
18
or the first dorsal
interosseous (FDI) muscles
19
but never the flexor carpi radialis (FCR) muscle. Because we
are interested in the contribution of S1 to motor learning, and one of our future targets is
the skill acquisition of wrist movement, we focused on the FCR related corticospinal
excitability in this study.
Taken together, the aim of the present pilot study was to determine the effects of
stimulation location, i.e., S1 vs. M1, on MEP waveform-related parameters, including
amplitude, latency, and variability in the contralateral FCR muscle. We hypothesized that
stimulating S1 vs. M1 would produce smaller MEP size, greater MEP variability but no
difference in MEP latency. These expectations are based on the poor focality of the
magnetic pulse: even if TMS is guided by neuronavigation the pulse is wide enough to
excite M1 interneurons when S1 is targeted. In addition, sensorimotor performance is
known to have a hemispheric asymmetry that underlies dynamic coordination
20
and may
also predict hand selection.
21
It is therefore possible that MEPs arising from sensorimotor
connections may differ between the two hemispheres. Thus, we also hypothesized inter-
hemispheric differences in MEPs when stimulating dominant left and non-dominant right
S1 or M1.
METHODS
Participants and ethical approval
Healthy volunteers (n = 8, 2 females, age: 29.9 ± 5.49 y), free of neurological
disorders, sensorimotor impairments or contraindications to TMS, participated in the study.
All participants were right-handed, determined by the Edinburgh Handedness Inventory.
22
Each subject gave a written informed consent in accordance with the Tohoku University
Human Ethics Committee (2018-1-792) and the Declaration of Helsinki.
Experimental procedure
In Japan, the Japanese Society of Clinical Neurophysiology (JSCN) has restricted
repetitive TMS (rTMS) administration to medical doctors due to safety concerns. Although
we used single pulse TMS to construct recruitment curves by stimulating S1 and M1 in
each hemisphere in this study, a trained medical doctor (TM) was always present during
the experiments. To increase topical selectivity, we guided TMS by neuronavigation
(BrainSight
TM
, Rogue Research Inc., Montreal, QC), which ensures reliable coil positioning
relative to the cortical target locus and allows us to correct any shift in coil position or
angulation during the measurements.
First, we performed a 3D MR imaging with a 3T scanner (Philips Intera Achieva
3.0-T Quasar Dual; Philips Healthcare Best the Netherlands) using an 8-channel
sensitivity-encoding (SENSE) head coil, operated by an expert MRI technician. Imaging
parameters were as follows: repetition time (TR) = 8.8 ms; echo time (TE) = 5.4 ms; flip
angle = 8°; field of view (FOV) = 256 mm, 1.07 × 1.07 × 1 mm3 voxels, 60 slices. Each
participant’s individual anatomic images were imported into the neuronavigation software
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to allow for stereotaxic registration of the participant’s brain with TMS coil for online control
of coil positioning. Subjects were then co-registered with their structural scans using
readily identifiable points on the head (nasion, tip of the nose, intertragal notches of the
ears).
The TMS measures reported here adhere to a TMS methodological checklist
established by international experts.
23
During TMS, participants were seated in a
comfortable chair with the forearms placed on armrests. Participants were instructed to
remain relaxed throughout the application of TMS. Surface electromyography (EMG)
recordings were monitored to ensure relaxation of each FCR muscle. EMG from each FCR
was continuously monitored using disposable bipolar surface electrodes (Covidien Kendall,
Ag/AgCl, Ref: 31.1245.21, UK). The electrodes were aligned along muscle fibers with a
1cm interelectrode distance and were connected to the MEP element of BrainSight
TM
software. To minimize noise in the EMG signal, the skin over the muscle belly was shaved,
scrubbed with sandpaper, and cleaned with alcohol. A ground electrode was placed on the
upper forearm. MEPs were evoked by delivering monophasic pulses with a 90 mm outer
diameter figure-of-eight coil connected to a Magstim 200 stimulators (Magstim, Whitland,
UK). The TMS coil was oriented tangentially to the scalp with the handle pointing back and
away from midline at 45° during stimulation of both M1s and S1s. The optimal location to
stimulate the left and right FCR, the so-called hotspots, were determined and marked
using the neuronavigation system to minimize variability across trials.
Resting motor thresholds (rMT) in each M1 (mean MNI coordinates: left M1: 44.7,
13.8, 85.7; right M1: -37.9, 14.0, 85.0) was determined as the minimum intensity at the
nearest 1% of maximum stimulator output that evoked MEPs in the FCR of at least 50 µV
in five out of 10 consecutive stimuli (rMT, % of maximum stimulator output, left M1: 60.1 ±
7.8; right M1: 62.6 ± 8.5). S1 areas (mean MNI coordinates: left S1: 55.9, 24.4, 78.3; right
S1: -54.7, 25.9, 74.8) of each hemisphere was targeted by moving the TMS coil one gyrus
backward and approximately 1 cm laterally from the FCR M1 hotspots18. Figure 1 shows a
representative participant demonstrating BrainSight
TM
localization of targets. Recruitment
curves were done over the left dominant and non-dominant right S1 and M1 by delivering 5
single pulses at each intensity of 80, 90, 100, 110, and 120% rMT in a randomized order.
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Figure 1. Representative participant demonstrating BrainSight
TM
localization of targets. Primary motor cortex
(M1) and primary somatosensory cortex (S1) targets indicated in each hemisphere. The orange needle
represents the direction of the stimulation.
Data and statistical analyses
The average time from the TMS pulse until the onset of the MEP (MEP latency)
was measured. Latency was defined as the first time-point after the TMS pulse for which
the amplitude exceeded 5% of the baseline-to-first peak amplitude (in absolute value).
24
Furthermore, we quantified peak-to-peak amplitude of each MEP and calculated inter-trial
variability of MEPs. Data that differed from the mean by more than two standard deviations
(SD) were excluded for each participant separately. In total, 10% of all MEPs were
excluded. MEPs from test pulses were normalized by maximal compound action potential.
Statistical analyses were performed with SPSS (version 20, SPSS Inc, Chicago, IL,
USA). Values are expressed as mean ± SD. All data were checked for normal distribution
using the Shapiro–Wilk test. Each analysis was done on each waveform-related parameter
(latency, peak-to-peak amplitudes, and variability) of MEPs (dependent variables). A target
(S1, M1) x hemisphere (left dominant, right non-dominant) intensity (80, 90, 100, 110,
120%) repeated measures analysis of variance (rANOVAs) and planned post-hoc tests
with Bonferroni correction for multiple comparisons were used to detect if dependent
variables differed when stimulating S1s vs. M1s. Compound symmetry was evaluated with
the Mauchly's test and Greenhouse-Geisser correction was used when indicated.
Significance was set at p < 0.05.
RESULTS
Peak-to-peak amplitudes did not show significant target x hemisphere (F
1,7
= 2.8, p
= 0.137, η
p
2
= 0.29), intensity x hemisphere (F
4,4
= 2.8, p = 0.170, η
p
2
= 0.74), or target x
intensity x hemisphere (F
4,4
= 0.8, p = 0.598, η
p
2
= 0.43) interactions, suggesting
anatomical symmetry in S1-M1 connections in the left and right hemispheres in each
intensity after both M1- and S1 stimulation. These data allowed us to pool data across
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hemispheres into one analysis. Moreover, two subjects did not produce MEPs when
stimulating the left dominant or right non-dominant S1, therefore we averaged the other 6
subjects’ data to perform the statistical analyses with equal numbers.
25
Table 1 summarizes the descriptive statistics and rANOVA results in each
dependent variables. Clear and consistent waveforms were not detectable at 80 and 90%
rMT intensities, therefore we performed the statistical analysis for latency data at 100-
120% intensities. rANOVA with repeated measures on target and intensity revealed no
target x intensity interaction, target- or intensity effect based on significance-level,
medium/large effect size (Table 1) (Figure 2A) suggest possible differences in latency with
increased sample size.
Figure 2. Latency (Panel A), normalized peak-to-peak amplitudes (Panel B), and variability of S1 vs. M1 stimulation-evoked MEPs (Panel C) after M1
(filled boxes) vs. S1 (empty boxes) stimulation in each intensity. Two subjects did not produce MEPs when stimulating the left dominant or right non-
dominant S1, therefore we averaged the other 6 subjects’ data to perform the statistical analyses with equal numbers. Peak-to-peak amplitudes were
normalized by maximal compound action potential. The boxplots show the median, the upper, and lower quartiles and the min and max values of the
dependent variables.
Vertical error bars denote +1SD.
† significant target x intensity interaction.
Table 1: Descriptive statistics and the rANOVA results.
M1
S1
ANOVA
80
90
100
110
120
80
90
100
110
120
Target
Intensity
Interaction
Latency
Mean
-
-
24.7
26.7
27.1
-
-
27.5
26.2
28.7
F
1,15
= 2.4,
η
p
2
= 0.14
F
2,30
= 3.5,
η
p
2
= 0.19
F
2,30
= 3.1,
η
p
2
= 0.17
SD
-
-
5.4
4.8
4.7
-
-
3.6
4.1
4.7
Peak-to-peak amplitudes
Mean
1.79
2.82
9.08
19.42
28.21
1.73
2.36
4.86
13.97
19.31
F
1,15
= 18.4
**
,
η
p
2
= 0.55
F
4,60
= 114.7
***
,
η
p
2
= 0.88
F
4,60
= 6.2
*
,
η
p
2
= 0.29
SD
1.99
2.59
6.67
11.18
17.70
1.44
2.17
5.25
12.30
15.01
Variability
Mean
0.89
1.25
4.26
7.62
9.04
0.41
0.60
1.29
7.84
7.04
F
1,15
= 8.1
*
,
η
p
2
= 0.35
F
4,60
= 41.7
***
,
η
p
2
= 0.74
F
4,60
= 3.8
*
,
η
p
2
= 0.20
SD
2.33
1.34
2.99
5.44
5.63
0.67
0.94
1.42
12.17
7.40
* p < .05
** p < .01
*** p < .001
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We found target x intensity interaction (F
4,60
= 6.2, η
p
2
= 0.29), and significant effect
of target (F
1,15
= 18.4, η
p
2
= 0.55) and intensity (F
4,60
= 114.7, η
p
2
= 0.88), with the post-hoc
analysis showing significantly larger peak-to-peak amplitudes after M1 stimulation, and
also with increased intensity, regardless of target (Figure 2B).
Concerning the variability of M1 vs. S1 stimulation-induced MEPs, there were a
significant target x intensity interaction (F
4,60
= 3.8, η
p
2
= 0.20), a target (F
1,15
= 8.1, η
p
2
=
0.35), and an intensity effect (F
4,60
= 41.7, η
p
2
= 0.74). Specifically, variability of MEPs was
greater after M1 vs. S1 stimulation so that variability increased with stimulation intensity
(Figure 2C).
DISCUSSION
The aim of the present pilot study was to determine the effects of stimulation
location, i.e., S1 vs. M1, on MEP waveform-related parameters, including amplitude,
latency, and variability in the contralateral FCR muscle. We hypothesized that stimulating
S1 vs. M1 would produce smaller MEP size, greater MEP variability but no difference in
MEP latency. These expectations are based on the poor focality of the magnetic pulse:
even if TMS is guided by neuronavigation the pulse is wide enough to excite M1
interneurons when S1 is targeted. Based on previous studies on hemispheric asymmetry,
we also hypothesized inter-hemispheric differences in MEPs when stimulating dominant
left and non-dominant right S1 or M1. We found no interhemispheric differences, but larger
peak-to-peak amplitudes and variability of MEPs after M1 as compared to S1 stimulation.
However, latency and waveforms of MEPs did not differ between S1 vs. M1 stimulation
supporting the idea that TMS over S1 is not selective enough and can excite M1
interneurons thus producing MEPs on the contralateral FCR.
TMS over S1 has been often used to determine its effects on kinesthetic
perception
17
or motor learning.
18
In these studies, S1 anatomical location was determined
by moving the TMS coil one gyrus backward and approximately 1 cm laterally from the M1
hotspots of the targeted muscle, and they proved prior to the rTMS stimulation that single
pulse TMS over S1 would not result in MEPs. These studies, however, used different size
coils and always targeted the ECR
18
or FDI
19
, but never the FCR. Although the coil and
intensity used for stimulation, and also the targeted muscle of the previous studies were
different from ours, the distance between S1 and M1 for each muscle group is too small to
be selective. The difference in the target muscles, therefore, cannot be considered as a
potential explanation for the lack of MEPs after S1 stimulation in previous studies.
Nevertheless, while these previous studies demonstrated evidence for selective stimulation
of S1 and M1 when targeting the FDI or ECR, our results support the idea that stimulation
of S1 can result in MEPs in the contralateral FCR through exciting M1 interneurons. It is
not surprising because the field induced by TMS is not distinctly confined to the target
region,
26
as the field covers an influential magnetic field in the brain tissue up to 140mm
radial area from the center of the double-cone coil with smaller peripheral peaks of
approximately 50% the amplitude of the central peak on either side of the winding,
3
therefore stimulation of S1, 1 cm laterally and one gyrus back from M1 hotspot can reach
the interneurons of the motor cortex, nevertheless, at a smaller intensity. This is in line with
our results showing that peak-to-peak amplitudes and variability of S1 as compared to M1
stimulation-induced MEPs were significantly smaller. In the present study, only 6 out of 8
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subject produced MEPs in response to single pulse TMS, it is therefore possible that the
lack of MEPs in previous studies after delivering single pulse TMS over S1 could be due to
the large inter-subject and/or inter-trial variability. Moreover, we demonstrated S1
stimulation-induced MEPs only at 100-120% rMT intensities, using a smaller intensity
therefore might not result in consistent and observable MEPs thus the used intensity can
also affect the results.
Brown et al.
19
found that MEPs could only be recorded after S1 stimulation with
25mm coils in 4 out of 16 participants (25%) and 7 out of 16 (44%) with 40/50 mm coils
with active contraction. In our study, we used an even larger, 90 mm outer diameter figure-
of-eight coil, and recorded MEPs after S1 stimulation in 6 out of 8 participants (75%). It is,
therefore, likely that the larger the diameter of the coil, the greater the chance for recording
MEPs after S1 stimulation. Therefore, we suggest the wing of the coil we used extended
over M1 during S1 stimulation, producing MEPs in the FCR.
Hypothetically it could be possible that a TMS stimulus over S1 may induce
skeletal muscle response via cortico-motor connections, resulting in a descending volley to
the muscle thus inducing an MEP, however, latency of these MEPs would be longer as
compared to M1 stimulation-evoked MEPs.
13
Our results, in contrast, revealed no
differences in latency of S1 vs. M1 stimulation-induced MEPs and their similar waveform
(Figure 3) also strengthens the idea that MEPs in response to TMS over S1 were due to
the excitement of M1 interneurons by the TMS-induced magnetic field. Because
sensorimotor performance is known to have a hemispheric asymmetry that underlies
dynamic coordination,
20
we aimed to determine whether inter-hemispheric differences in
MEPs occur when stimulating dominant left and non-dominant right S1 or M1. Under the
present experimental setup, we found no inter-hemispheric differences, suggesting that
TMS over S1 using a figure-of-eight coil is not selective enough and can produce MEPs on
the contralateral FCRs, irrespective of hemisphere.
Figure 3. Averaged MEP waveforms in each target, hemisphere and intensity from a representative subject.
Each trace the average of five individual trials. The first vertical line represents the TMS onset, while the
second and third vertical lines show the measurement window for MEPs.
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Limitations of this study are its exploratory nature and the small sample size.
These preliminary data however may be useful for researchers who aim to target/stimulate
S1 (e.g. using rTMS). If the magnetic field produced by TMS over S1 can reach M1
interneurons, it is possible that the observed changes in motor outcome (improved motor
control or learning) is due to the direct stimulation of M1 interneurons and not cortico-
cortical connections. Finally, it may be useful for future studies to determine if muscle
contraction affect S1 stimulation-induced MEPs the same way as do contractions affect M1
stimulation-induced MEPs.
CONCLUSION
In conclusion, navigated TMS over S1 produced MEPs in healthy adults’ wrist
flexors, irrespective of hemisphere most probably due to the excitation of M1 interneurons
by the spreading magnetic pulse. Although M1 as compared to S1 stimulation resulted in
larger and more variable peak-to-peak amplitudes, latency and waveforms of MEPs did not
differ between the two loci supporting the idea that TMS over S1 using a figure-of-eight coil
is not selective enough and can produce MEPs on the contralateral FCRs. Future studies
should carefully consider these results when targeting S1 with TMS even if using a
neuronavigation system.
REFERENCES
1. Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of human motor
cortex. Lancet (London, England). 1985;1(8437):1106-1107.
doi: 10.1016/s0140-6736(85)92413-4.
2. Di Lazzaro V, Oliviero A, Profice P, et al. Direct recordings of descending volleys after
transcranial magnetic and electric motor cortex stimulation in conscious humans.
Electroencephalogr Clin Neurophysiol Suppl. 1999;51:120-126.
3. Pascual-Leone A, Davey, N. J., Rothwell, J., Wassermann, E. M. & Puri, B. K., eds.
Handbook of transcranial magnetic stimulation. Oxford University Press; 2002.
4. Proske U, Gandevia SC. The proprioceptive senses: their roles in signaling body shape,
body position and movement, and muscle force. Physiol Rev. 2012;92(4):1651-1697.
doi: 10.1152/physrev.00048.2011.
5. Tecchio F, Zappasodi F, Melgari JM, Porcaro C, Cassetta E, Rossini PM. Sensory-
motor interaction in primary hand cortical areas: a magnetoencephalography assessment.
Neuroscience. 2006;141(1):533-542. doi: 10.1016/j.neuroscience.2006.03.059.
6. Veldman MP, Maffiuletti NA, Hallett M, Zijdewind I, Hortobágyi T. Direct and crossed
effects of somatosensory stimulation on neuronal excitability and motor performance in
humans. Neurosci Biobehav Rev. 2014;47:22-35. doi: 10.1016/j.neubiorev.2014.07.013.
7. Petras JM. Some efferent connections of the motor and somatosensory cortex of simian
primates and felid, canid and procyonid carnivores. Ann NY Acad Sci. 1969;167(1):469-
505. doi: 10.1111/j.1749-6632.1969.tb20461.x.
8. Jones EG, Porter R. What Is Area-3a. Brain Res Rev. 1980;2(1):1-43.
doi: 10.1016/0165-0173(80)90002-8.
9. Coulter JD, Jones EG. Differential distribution of corticospinal projections from individual
cytoarchitectonic fields in the monkey. Brain Res. 1977;129(2):335-340.
BJMB! ! ! ! ! ! ! ! Research Article!
Brazilian(Journal(of(Motor(Behavior!
Négyesi et al.
2020
VOL.14
N.3
119 of 120
doi: 10.1016/0006-8993(77)90012-9.
10. Murray EA, Coulter JD. Organization of Corticospinal Neurons in the Monkey. J Comp
Neurol. 1981;195(2):339-365. doi: 10.1002/cne.901950212
11. Cruccu G, Aminoff MJ, Curio G, et al. Recommendations for the clinical use of
somatosensory-evoked potentials. Clin Neurophysiol. 2008;119(8):1705-1719.
doi: 10.1016/j.clinph.2008.03.016.
12. Haaland KY, Dum RP, Mutha PK, Strick PL, Troster AI. The Neuropsychology of
Movement and Movement Disorders: Neuroanatomical and Cognitive Considerations. J Int
Neuropsychol Soc. 2017;23(9-10):768-777. doi: 10.1017/S1355617717000698.
13. American Clinical Neurophysiology S. Guideline 9D: guidelines on short-latency
somatosensory evoked potentials. Am J Electroneurodiagnostic Technol. 2006;46(3):287-
300.
14. Kiers L, Cros D, Chiappa KH, Fang J. Variability of motor potentials evoked by
transcranial magnetic stimulation. Electroencephalogr Clin Neurophysiol. 1993;89(6):415-
423. doi: 10.1016/0168-5597(93)90115-6.
15. Wassermann EM. Variation in the response to transcranial magnetic brain stimulation
in the general population. Clin Neurophysiol. 2002;113(7):1165-1171.
doi: 10.1016/s1388-2457(02)00144-x.
16. Ammann C, Lindquist MA, Celnik PA. Response variability of different anodal
transcranial direct current stimulation intensities across multiple sessions. Brain Stimul.
2017;10(4):757-763. doi: 10.1016/j.brs.2017.04.003.
17. Huh DC, Lee JM, Oh SM, Lee JH, Van Donkelaar P, Lee DH. Repetitive Transcranial
Magnetic Stimulation of the Primary Somatosensory Cortex Modulates Perception of the
Tendon Vibration Illusion. Percept Mot Skills. 2016;123(2):424-444.
doi: 10.1177/0031512516663715.
18. Vidoni ED, Acerra NE, Dao E, Meehan SK, Boyd LA. Role of the primary
somatosensory cortex in motor learning: An rTMS study. Neurobiol Learn Mem.
2010;93(4):532-539. doi: 10.1016/j.nlm.2010.01.011.
19. Brown MJN, Weissbach A, Pauly MG, et al. Somatosensory-motor cortex interactions
measured using dual-site transcranial magnetic stimulation. Brain Stimul. 2019;12(5):1229-
1243. doi: 10.1016/j.brs.2019.04.009.
20. Coelho CJ, Przybyla A, Yadav V, Sainburg RL. Hemispheric differences in the control
of limb dynamics: a link between arm performance asymmetries and arm selection
patterns. J Neurophysiol. 2013;109(3):825-838. doi: 10.1152/jn.00885.2012.
21. Przybyla A, Coelho CJ, Akpinar S, Kirazci S, Sainburg RL. Sensorimotor performance
asymmetries predict hand selection. Neuroscience. 2013;228:349-360.
doi: 10.1016/j.neuroscience.2012.10.046.
22. Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory.
Neuropsychologia. 1971;9(1):97-113.
23. Chipchase L, Schabrun S, Cohen L, et al. A checklist for assessing the methodological
quality of studies using transcranial magnetic stimulation to study the motor system: An
international consensus study. Clin Neurophysiol. 2012;123(9):1698-1704.
doi: 10.1016/j.clinph.2012.05.003.
24. Huang G, Mouraux A. MEP Latencies Predict the Neuromodulatory Effect of cTBS
Delivered to the Ipsilateral and Contralateral Sensorimotor Cortex. PLoS One.
2015;10(8):e0133893. doi: 10.1371/journal.pone.0133893.
BJMB! ! ! ! ! ! ! ! Research Article!
Brazilian(Journal(of(Motor(Behavior!
Négyesi et al.
2020
VOL.14
N.3
120 of 120
25. Kang H. The prevention and handling of the missing data. Korean J Anesthesiol.
2013;64(5):402-406. doi: 10.4097/kjae.2013.64.5.402.
26. Bijsterbosch JD, Barker AT, Lee KH, Woodruff PWR. Where does transcranial
magnetic stimulation (TMS) stimulate? Modelling of induced field maps for some common
cortical and cerebellar targets. Med Biol Eng Comput. 2012;50(7):671-681. doi:
10.1007/s11517-012-0922-8.
ACKNOWLEDGEMENTS
We thank Kento Takahashi for his contribution to the study by acquiring the MRI
data.
Citation: Négyesi J, Mori T, Ataka K, Izumi S, Hortobágyi T, Nagatomi R. Navigated transcranial magnetic stimulation
of the primary somatosensory cortex evokes motor potentials in healthy humans’ flexor carpi radialis muscle - A pilot
study. 2020: 14(3): 110-120.
Editors: Dr Fabio Augusto Barbieri - São Paulo State University (UNESP), Bauru, SP, Brazil; Dr José Angelo Barela -
São Paulo State University (UNESP), Rio Claro, SP, Brazil; Dr Natalia Madalena Rinaldi - Federal University of
Espírito Santo (UFES), Vitória, ES, Brazil.
Copyright:© 2020 Négyesi, Mori, Ataka, Izumi, Hortobágyi and Nagatomi and BJMB. This is an open-access article
distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International
License which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and
source are credited.
Funding: The study has had no financial support, and was a voluntary project independent of any grants. The authors
declare that the research was conducted in the absence of any commercial or financial relationships that could be
construed as a potential conflict of interest.
Competing interests: The authors have declared that no competing interests exist.
DOI:!https://doi.org/10.20338/bjmb.v14i3.173