b002867c7ac11dfededdf8a888202c792df73f03
Mar Cortesa,b, Alejandra
Climenta, Laura Dubreuil Vallc, Giulio Ruffinic Douglas Labara, Dylan Edwardsa
a. Non invasive Brain Stimulation and
Human Motor Control Laboratory, Burke Medical Research Institute, Weill Medical
College of Cornell University, 785 Mamaroneck Avenue, 10605, White Plains, NY,
USA.
b. Universitat de Barcelona,
Barcelona, Spain.
c. Starlab Barcelona SL, Av.
Tibidabo 47 bis, 08035, Barcelona, Spain.
Corresponding author:
Mar Cortes
Non invasive Brain Stimulation and
Human Motor Control Laboratory, Burke Medical Research Institute, Weill Medical
College of Cornell University, 785 Mamaroneck Avenue, 10605, White Plains, NY,
USA.
Phone: +1 914 368 3181
Background: Existing strategies to
enhance motor function following Spinal Cord Injury (SCI) are suboptimal
leaving patients with considerable disability. Available evidence suggests that
transcranial direct current stimulation (tDCS) is a promising method to improve
motor dysfunction. How tDCS affects resting brain activity monitored by EEG is
little explored.
Objective:
Methods: We conducted a
randomized, single blind, sham-controlled, cross-over study in seven chronic
SCI subjects with cervical lesions. We investigated the effects of 20-minute
anodal tDCS applied over the left primary motor cortex (M1) on
electroencephalography (EEG) power spectrum density, coherence and frequency
band power. Subjects were randomized to receive either 1mA or sham
stimulation. The EEG data acquisition
pre and post stimulation comprised 5-minute takes of 24 bit, 500 S/s 8-channel
EEG using StarStim Ag/AgCl EEG electrodes (at F3, F4, Cz, C4, P3 and P4; and Pi
Ag/AgCl electrodes at C3, anode, AF8, return).
Results: In comparison to sham
stimulation, 20-minutes of active 1mA tDCS induced a pattern of faster activity
around the anodal stimulating electrode, and slowing activity near the return
electrode in the frequency (full band) and mean power domain (gamma band). In
addition, tDCS increased coherence in the fastest bands (gamma, beta 2) and
decreased coherence in slower frequency bands (theta, SMR), with no relation
with brain topography or the stimulation electrode polarity.
Conclusions: These findings show
that tDCS is capable of inducing modulation of ongoing oscillatory brain
rhythms captured by EEG, in spinal cord injury patients. The combined use of
EEG and tDCS sets the stage for optimizing tDCS protocols targeting motor
cortex and may have application in treatment of motor dysfunction and chronic
pain.
Key words: (6)
Abbreviations:
Transcranial direct current stimulation (TDCS)
delivered over primary motor cortex (M1) can increase or decrease corticomotor
excitability as determined by the amplitude of the motor evoked potential (MEP)
from stimulating M1 with supra-threshold transcranial magnetic stimulation
(TMS). The effect on MEP amplitude depends on the duration and intensity of
stimulation and the polarity and spatial arrangement of the TDCS electrodes,
and these effects can persist for up to an hour after TDCS is ceased. It is
assumed that the TDCS after-effect results from some form(s) of neuromodulation
at the cortical level such as synaptic potentiation or depression, or effects
on ion channels. However, further insight into the cortical mechanisms in the
human is limited experimentally.
The electroencephalogram (EEG) measures far-field
potentials from synchronized neural populations over cortical regions that
extend beyond M1, and so offers a method for measuring the effect of TDCS on
neural activity across the cortex. In particular, such measurements do
not depend on spinal cord conduction and alpha-motoneuron activation, which is
the case for MEP recordings. This could have advantages for determining the
effect of TDCS at the cortical level in spinal cord injury (SCI). While most
SCI studies focus on the level of injury, there is increasing interest in the
compensatory changes that might occur in the cortex, and whether they might
facilitate or impede recovery.
In the present study we measured
the effect of EEG after 20 min of anodal or sham TDCS applied to the dominant
M1 in chronic cervical SCI. We show that there are changes in EEG power,
frequency and coherence that are spatially-related to the TDCS electrode
configuration, but that spread widely across the hemispheres.
Materials and methods
Participants and study design
The randomized, single blind, sham
controlled, cross over study was conducted on seven chronic SCI subjects, all males with an average age of 51.14 ± 10.57 years (mean ±SD, range 34
to 65 years). Participants presented traumatic SCI at the cervical level (C4-C8);
some degree of motor function in wrist extension (score 1-5 over 5 on the
Medical Research Council (MRC) scale for motor strength in the right extensor
carpi radialis (ECR) muscle); chronic injury (>9 months after injury); and
tolerance to sitting upright for at least one hour (see Table 1 for baseline
characteristics). Patients were excluded if they presented with: progressive
neurodegenerative disorder; concomitant traumatic brain injury or stroke;
clinically significant cognitive impairment; medically unstable; change in
medication during the study; or presented contraindications to brain
stimulation (history of seizures/epilepsy, presence of metallic implants in the
brain, pacemaker, pregnancy).
The subjects were randomized
in two groups depending on whether they were receiving stimulation or not: a) Sham or control group, b) 1mA or active
group.
We investigated the effects of
20-minute anodal t-DCS applied over the primary motor cortex (M1) on: a)
quantitative electroencephalography (EEG) power spectrum density, coherence and
frequency band power. At Baseline we
collected: clinical and functional evaluations were
performed prior the brain stimulation intervention, and included the upper extremity
motor score (UEMS), American Spinal Injury Association impairment scale (AIS),
spinal cord independence measure (SCIM III) and visual analog scale (VAS) pain
questionnaires. [DE4]
The study was approved by the Burke Medical
Rehabilitation Institutional Review Board and conformed to the standards set out by the 1964 Declaration of
Helsinki.
AddTable 1
Transcranial direct current stimulation (t-DCS)
intervention
Participants remained seated in their own wheelchair or were
provided with a comfortable chair. The StarStimNE noninvasive
wireless t-DCS/EEG neurostimulator (NE Neuroelectrics®, Barcelona, Spain) was
used to both record EEG data and deliver the direct current sequentially. The
StarStimNE neurostimulator included a wireless neoprene cap, based on
the International 10-20 system, which was placed on the participants’ heads by
aligning the central CZ electrode position with the vertex (intersection of
nasion-inion and inter-aural line mid-point).
Small Ag/AgCl gelled electrodes, with a
surface contact area of 3.14 cm2 specific to the StarStimNE device
(Pi electrodes, Neuroelectrics®), were placed over the left M1 at C3 (anode) and
contralateral supraorbital area, (AF8; cathode) (Figure 1). The electrodes were
connected to a control box device, which was wirelessly connected to a computer
and communicated with the NIC software (version 1.2, Neuroelectrics®).
Add Figure 1
During anodal stimulation, direct current was
delivered from a current-control circuit in the battery-driven stimulator
within the control box device. The current was set at 1mA intensity and applied for 20 minutes.
[DE5] For the sham stimulation, electrodes were placed in the same
position and participants received a short ramp (30sec total up / down[DE6] ) at the beginning and end of the stimulation period.
Electroencephalography (EEG)
The StarStimNE multichannel wireless device (NE
Neuroelectrics®, Barcelona, Spain), which allows for simultaneous electroencephalography (EEG) and tDCS[DE7] , was used to record EEG data. The EEG data consisted of 5-minute
takes (pre and post stimulation) with 24 bit resolution, 500 S/s 8-channel EEG
collected with StarStimNE Ag/AgCl EEG electrodes (geltrodes,
NE022; positions at F3, F4, Cz, C4, P3 and P4; Pi stimulating electrodes at C3
and AF8), based on the International 10-20 system, with the cap
aligned to the central CZ electrode position (vertex).[DE8] The electrodes were connected to a control box device, which was
wirelessly connected to a computer and communicated with the NIC software
(version 1.2, Neuroelectrics®).
Transcranial magnetic stimulation (TMS)
Electromyography (EMG): A bipolar surface EMG
electrode (1 cm diameter, 2 cm inter-pole distance; Biometrics Ltd, UK) was
placed over the right ECR muscle, with the forearm relaxed in a pronated
position and supported by a cushion. The EMG activity was amplified and
filtered on site (x1000 gain, band-pass filter 20-460 Hz; SX230-1000),
digitized at 2 kHz (CED 1401, Cambridge Electronic Design, Cambridge, UK) and
stored for offline analysis using Spike 2.6 software. Measurements were
performed at rest. During the experiment, free running EMG was continuously
monitored with visual feedback of EMG to ensure complete muscle relaxation.
The right ECR muscle was selected for clinical
relevance; where restoration of motor function in this text muscle can help increase
independence in quadriplegic subjects with activities of daily living.
Transcranial Magnetic Stimulation (TMS): A
figure-of-eight coil (Model DB-80, Tonika Elektronik A/S, Farum, Denmark),
connected to a MagPro X100 series (MagVenture A/S, Farum, Denmark) magnetic
stimulator, was placed congruent with the head and the handle rotated 45°
lateral from mid-sagittal so as to induce currents in the brain approximately
perpendicular to the central sulcus. Resting motor threshold (RMT) was established
at C3, and was defined as the minimum TMS intensity required to elicit a
reliable MEP in the contralateral ECR amplitude of >50 µV in at least 50% of
consecutive trials.[DE9]
Data analysis
Resting quantitative EEG and corticospinal
excitability (transcranial magnetic stimulation; MEP) were recorded before (PRE)
and at the end (POST) of each intervention..Quantitative EEG measures included:
power spectrum density (PSD), mean frequency and coherence. The PSD refers to
the percentage change between PRE and POST average power in each frequency band,
for each electrode. Mean frequency is [DE10] the percentage change between PRE and POST for
mean frequency in each band and for each electrode, defined as the mean
frequency of the power spectrum weighted over that band.
Mean
coherence is the
percentage change (PRE and POST) in each
band and each electrode, defined as the average coherence
of this electrode with all the other ones.[DE11]
The frequency bands were defined as: Theta= [4 8]
Hz, Alpha-1=[8 10] Hz, Alpha-2=[10 12] Hz, SMR=[12 16] Hz, Beta-1=[16 25] Hz,
Beta-2=[25 35] Hz, Gamma=[35 40] Hz. (ref???)
The EEG data were
referenced to the average of all 8 electrodes. An automated quality check of
the data was then carried out using 8 sec epochs. Epochs have been rejected if
they do not meet quality criteria (too high mean power at full band or line
noise, or motion artifacts as detected by the built in accelerometer). PSD changes
and coherence analysis was carried out for each quality passed epoch. Average
PSD’s and coherence have then been computed for each subject.
EEG data were
discarded from analysis for channels presenting bad signal quality during the
entire 5-minute recording. Those subjects that did not have more than 5 valid
channels were completely discarded. After the discarding process, in order to
have the same subjects in all the conditions, 7 subjects were analyzed for Sham
and 1mA.
Resting
MEP amplitude (peak-to-peak; ECR muscle) was measured following
single-pulse TMS (10/12) set at 120% [DE12] of the RMT over the C3[DE13] . Raw and normalized values were used for
analysis[DE14] . Results are presented as mean ± standard deviation (SD), and standard
error of the mean (SEM)[DE15] .
Changes are
considered statistically significant when p < 0.05[JC16] . Since all the features are measured in 8
channels at the same time, the Bonferroni correction has been applied to the significance of all features. [DE17]
PLEASE
ADD THE STUDY DATA ANALYSIS – GIULIO / LAURA
Results
Effects of tDCS on EEG
Normalized pre-post EEG power for
1mA compared to sham shows; a)
significant increase of the mean power domain in the Gamma frequency
band under C3, the anodal stimulating electrode; b) a significant increment of faster activity around the anode (stimulating)
electrode (C3, F3) with a decreased mean frequency in the Alpha band near the
return electrode (P4); and c) significantly
increased mean coherence in the fastest frequency bands (Beta2, Gamma) and SMR
under the stimulating electrode (C3), the symmetrical location in the other
hemisphere (C4) and the vertex (Cz). The lower map provides the p-value (Wilcoxon
test) of Sham vs. active stimulation.
LAURA – ADD THE TYPE OF TEST USED FOR THE RESULTS AND THE P VALUES
OBTAINED
Figure 2
Effects of tDCS on Corticospinal excitability
Baseline values for resting MEP
amplitude were similar between interventions (average: 0.37±0.05 mV; mean±SEM).
No significant changes were observed for 1 mA a-tDCS or sham. The stimulation
intensities used to obtain the RMT were not significantly different between 1
mA (64±17% MSO) and sham (66±16% MSO). All participants presented MEP
responses.
Discussion
1. tdcs does modulate EEG in SCI
population.
2. The effect of the TDCS in EEG
is location specific and band specific.
3. The fastest bands are more
affected. Augmented power and frequency of fast bands (Gamma and B2) under the
anode electrode - there is more fast activity under the anodal electrode. Why is this?
3.1. Anodal
stimulation leads to increased spontaneous neuronal firing, increase motor
cortex excitability. So we would expect more fast activity and higher
amplitudes under the anode electrode.
3.2. Brain
activity changes (increase fast band) are related to motor learning – changes
in Mu rhythm (preparation for movement, getting ready for movement). This is
shown in the coherence increase of SMR band under the stimulating electrode.
MAR – ALL OF THE ABOVE
3.2.1.
Is there are connection between C3 and P4 in resting state brain? Why is alpha
decreased significantly in P4 (cortex parietal) in the contralateral hemisphere.
CONECTIONS BETWEEN MOTOR CORTEX
AND SENSORY MOTOR CORTEX?? – JANA
3.3. Anodal
tDCS makes C3 to be more related to the rest of the head, by increasing the
connectivity of the SMR under the stimulating electrode.
INTERPRETANTION OF THIS POINT TO GIULIO/LAURA,
ANYTHING PUBLISHED BEFORE?
3.4. This
is an excitability independent change (no TMS change associated). Can EEG pick
up changes in the brain than TMS cannot?
LABAR?
Conclusion
These findings show that t-DCS is
capable of inducing modulation of ongoing oscillatory brain rhythms captured by
EEG, in spinal cord injury patients.
The combined use of EEG and t-DCS
sets the stage for optimizing t-DCS protocols targeting motor cortex and may
have application in treatment of motor dysfunction and chronic pain.
Figures
Figure
1: a) Starstim wireless t DCS device. b) Electric field induced by montage +
C3, - AF8 using “Pi” electrodes (3.14 cm2 Ag/AgCl electrodes).
Figure
2: Results for the normalized Pre-Post Power changes of 1mA vs sham show
a) significant increase of the mean power domain in Gamma frequency band
under C3, the anodal stimulating electrode. b) A significant increment of faster
activity around the anodal stimulating electrode (C3, F3) while a decreased
mean frequency in the Alpha band near
the return electrode (P4) and c) significant increased mean coherence in the fastest frequency bands
(Beta2, Gamma) and SMR under the stimulating electrode (C3), the symmetrical
location in the other hemisphere (C4) and the vertex (Cz). The bottom map
provides the p-value (Wilkoxon test) of Sham vs. active stimulation.
Tables
Table 1: Patient
characteristics
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A, Pascual-Leone A, Volpe BT. Preserved corticospinal conduction without
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[MC1]WE
WILL WORK ON THAT THE LAST THING
[MC3]Our
old intro. Above Gary’s intro
[DE4]Explain
that this was for baseline profiling only… not an outcome measure
[DE5]Ramp
time?
[DE6]Ramp
time? Same as real?
[DE7]This
is preferred. Check for consistency tDCS, TDCS, t-DCS
[DE8]Have
a look at how this writing is different from previous, and take note FYI
[DE9]Did
we not just use C3 and C4 sites? I don’t think we shuffled the cap position
because this would disturb the EEG 10-20 system markings
[DE10]GIULIO
PLEASE CHECK THE DEFINITION . THANKS
[DE11]GIULIO
– PLEASE REWORD THIS DEFN - A LITTLE CONFUSING
[DE12]what
does this mean? We would not have done both
[DE13]Contradiction – if it is ‘exactly’ the optimal site, unlikely exactly C3. Best just to say C3 if that is what we did. Again, we cannot use tetminlogy of optimal site, unless we searched for it and used it as with other studies. Here it is more important to start writing.
[DE14]Unclear?
Do you mean “statistical analysis was performed on raw values (T-test?),and normalized
data for graphical presentation”
[DE15]Do
we really report SD and SEM for TMS results??? check
[JC16]shall
we remove it since the sample is very small?
[DE17]Do
we deltete? And wat method was used for statistics – Giulio and Laura.