Significance
Transcranial magnetic stimulation (TMS) is significant for medical diagnostics, therapeutic treatment, and basic brain research. However, highly resolved observations of its immediate effects remained obscured because existing techniques are limited in spatial or temporal resolutions and are severely disturbed by the high magnetic fields. Here, we avoid these limitations, using optical imaging with voltage-sensitive dye (VSD) in the cat animal model. VSD transforms changes in neuronal membrane voltage into optical signals, providing microsecond resolution and evading contamination by electromagnetic artifacts. We visualize TMS-induced cortical dynamics and characterize effects on visual processing over scales of milliseconds, minutes, and hours. Combined TMS and VSD imaging offers a powerful approach to study targeted modifications in cortical function during TMS-based plasticity and learning protocols.
Keywords: excitation–inhibition balance, plasticity, primary visual cortex
Abstract
Transcranial magnetic stimulation (TMS) is widely used in clinical interventions and basic neuroscience. Additionally, it has become a powerful tool to drive plastic changes in neuronal networks. However, highly resolved recordings of the immediate TMS effects have remained scarce, because existing recording techniques are limited in spatial or temporal resolution or are interfered with by the strong TMS-induced electric field. To circumvent these constraints, we performed optical imaging with voltage-sensitive dye (VSD) in an animal experimental setting using anaesthetized cats. The dye signals reflect gradual changes in the cells' membrane potential across several square millimeters of cortical tissue, thus enabling direct visualization of TMS-induced neuronal population dynamics. After application of a single TMS pulse across visual cortex, brief focal activation was immediately followed by synchronous suppression of a large pool of neurons. With consecutive magnetic pulses (10 Hz), widespread activity within this “basin of suppression” increased stepwise to suprathreshold levels and spontaneous activity was enhanced. Visual stimulation after repetitive TMS revealed long-term potentiation of evoked activity. Furthermore, loss of the “deceleration–acceleration” notch during the rising phase of the response, as a signature of fast intracortical inhibition detectable with VSD imaging, indicated weakened inhibition as an important driving force of increasing cortical excitability. In summary, our data show that high-frequency TMS changes the balance between excitation and inhibition in favor of an excitatory cortical state. VSD imaging may thus be a promising technique to trace TMS-induced changes in excitability and resulting plastic processes across cortical maps with high spatial and temporal resolutions.
Over recent decades, transcranial magnetic stimulation (1) (TMS) has become a frequently used method for noninvasive diagnostics, therapeutic treatment, and intervention for neurorehabilitation of neurological disorders (2–8). Additionally, TMS has proved a valuable tool in basic brain research as its perturbative effects allow area-selective manipulation of immediate cortical function (9–11), as well as its long-lasting alteration through plasticity and learning protocols (12, 13). However, direct measurements of the TMS-induced cortical dynamics at highly resolved spatiotemporal scales are missing because “online approaches” (14), using modern neuroimaging techniques such as functional MRI (fMRI) (15–18), magnetoencephalography (19), EEG (20), and near-infrared (21) or intrinsic optical imaging (22), are limited in either spatial or temporal resolutions or in both.
Here we overcame these limitations, using optical imaging with voltage-sensitive dyes (VSD), which exploits the dye’s property to transduce gradual changes in voltage across neuronal membranes into fluorescent light signals. In contrast to imaging methods applicable in humans, this method is invasive but allows avoiding the commonly experienced contamination of signals by artifacts due to the strong TMS-induced electric field. In combination with a tandem-lens system of large numerical aperture (23) and a fast CCD camera as detector, VSD imaging captures several square millimeters of cortex with an emphasis on superficial layers (24–32), allowing us to record activity changes within milliseconds across millions of neurons at once with a spatial resolution of ∼50 μm (for review see ref. 33). We measured activity in cat primary visual cortex (V1) upon repetitive TMS (rTMS) (0.15 Hz, 1 Hz, and 10 Hz) and describe its effects on fundamental processing characteristics during subsequent visual stimulation.
Results
Space–Time Visualization of TMS-Induced Cortical Dynamics.
VSD imaging enabled artifact-free visualization of TMS-induced activity across ∼7 × 3 mm of cortex depicted in Fig. 1 within 10-ms frames (Movie S1). A single TMS pulse (Fig. 1C, Left trace) led to brief focal activation with highest amplitudes closest to the coil (Fig. 1C, reddish area, first two frames after TMS onset) succeeded by immediate suppression (bluish colors). The decrease in activity lasted up to ∼300 ms followed by rebound activation that remained locally, surrounded by a suppressed area. These results demonstrate that after a 20-ms period of excitation following a single TMS pulse, the postsynaptic potentials of a large pool of neurons start nearly instantaneously and drastically, decreasing below baseline activity.
Applying high-frequency rTMS (10 Hz) (34, 35), we observed similar early phase suppression after the first pulse as expected (Fig. 1C, Right trace; Fig. 1D shows time courses of spatially averaged activities). However, in contrast to a single pulse, each further pulse triggered a consecutive boost in activity, building up to widespread activation levels. Note that the first pulse suppression in the 10-Hz condition appears smaller than for the low-frequency protocol. This is because averaging across multiple repetitions of TMS trials inevitably includes activity that was already enhanced through previous high-frequency trains, including persistently rising baseline activity (compare Fig. 2C) and possibly reduced effectiveness of inhibition. Thus, repetitive TMS pulses successively increased the overall postsynaptic potential levels from below baseline up to high amplitudes (crossing baseline after the third TMS pulse), suggesting a joint excitatory state across large neuronal populations.
These results were remarkably consistent across experiments (Fig. 2). In Fig. 2A, we depict spatially averaged activities in response to both single-pulse and 10-Hz TMS conditions as a mean across nine different cat experiments. Generally, the first TMS pulse led to brief excitation followed by immediate suppression (with duration of 250 ms ± 40 SD), similar to that observed earlier with extracellular electrode recordings using suprathreshold 1-Hz TMS (36). Levels of rebound activity after repetitive single-pulse TMS remained at low values (1.3 ± 0.9 SEM, ×10−4 ∆F/F), whereas the stepwise increase in activity after 10 Hz rTMS produced significantly higher amplitudes (5.6 ± 1.6 SEM, ×10−4 ∆F/F). Interestingly, when calculated from the suppressive baseline, net amplitudes induced by the 10-Hz rTMS trains after the last fifth pulse, denoted here as the late response phase (gray shaded in Fig. 2), were in the same range (9.0 ± 1.7 SEM, ×104 ∆F/F) as for visually evoked activity (8.3 ± 1.1 SEM, ×10−4 ∆F/F, Fig. 2B). Visual activity was evoked with high-contrast full-field moving gratings as the most effective stimulus to drive spiking activity in V1 and used here as a standard control for maximal visual stimulation. Furthermore, the threshold for the emergence of average spiking activity of neural populations was recently approximated with 30–40% of the maximal visually evoked VSD imaging signals (37). Hence, it is most likely that 10 Hz rTMS induced extensive spiking population activity, especially during the late response phase after stimulation.
Excitatory Cortical State After 10 Hz rTMS.
We next determined how the rTMS-induced changes in cortical excitation levels were reflected in ongoing, i.e., spontaneous, activity. For this purpose, we made use of our stimulation protocol where we measured repeated blocks of two blank trials, during which spontaneous activity was recorded, followed by five trials of 10-Hz trains (five pulses within each trial) and another final blank condition. The time interval between trials was 7 s. Hence, the third blank was measured 35 s after the first TMS pulse in each block. Within blocks, each lasting ∼1 min, we found a consecutive enhancement of activity up to the last blank (Fig. S1) (ref. 22 shows similar observations of TMS-enhanced spontaneous activity). Fig. 2C depicts activity within the latter blank averaged over 8–12 block repetitions across experiments. The evolution of activity, using the first two blanks as a reference, showed a monotonous increase (Fig. 2C, red curve). Thus, starting from a common baseline, ongoing activity underwent a persistent rise, suggesting an underlying excitatory cortical state emerging within 8–12 min in the case of 10 Hz rTMS but not for single-pulse stimulation (Fig. 2C, green curve).
Effects on Visual Cortical Processing—Long-Term Potentiation– and Long-Term Depression–Like Activation and Suppression.
How does the excitatory state induced by application of 10 Hz rTMS influence visual cortical excitability? In cat V1, 1 Hz rTMS was shown to reduce visually evoked potentials whereas 10 Hz rTMS led to increased amplitudes (35). Likewise in human visual cortex, 1 Hz vs. 10 Hz TMS regimes showed opposing effects on excitability, as measured by changes of phosphene thresholds (38, 39). In particular, effectiveness of 10 Hz rTMS over human V1 was demonstrated by improved contrast sensitivity of amblyopic patients (40), as well as by modulation of performance in visual detection and feature discrimination tasks (41).
We imaged visually evoked activity, presenting high-contrast gratings before and after 25–30 min of 10 Hz rTMS (Materials and Methods). Visually evoked responses measured 30–90 min after rTMS were increased up to 53% in comparison with baseline values (Fig. 3). This effect lasted for 2–3 h, suggesting “early” long-term potentiation (LTP) (42), and returned to baseline after 3–4 h without further intervention. Interestingly, LTP-like activation could directly be turned into long-term depression (LTD) by subsequent application of 1 Hz rTMS (Fig. 3, green triangle). Hence, in summary we demonstrate facilitatory visual effects upon 10 Hz TMS (34, 35) and suggest LTP/LTD-like plastic changes in synaptic efficacy dependent on TMS stimulation frequency (reviews in refs. 43–45).
rTMS Decreases Impact of Intracortical Inhibition.
Despite its wide application, the impact of TMS on cortical processing is poorly understood in terms of the affected neuronal network mechanisms. We here make use of the unique property of VSD imaging to allow observing the gradual changes in synaptic activity at the population level. Specifically during the rise time of visually evoked activity, VSD imaging is capable of detecting a notch attributed to intracortical inhibition counteracting the excitatory input drive (24, 46). Importantly, this so-called deceleration–acceleration (“DA”) notch was shown to reflect cross-orientation inhibition (46–48) contributing to sharpened orientation tuning and thus demonstrating its functional relevance for intracortical processing (blue curves in Fig. 4 A–E show typical examples).
Strikingly, after application of 10 Hz rTMS the notch was diminished, indicating weakened inhibition (Fig. 4, pink curves). Fig. 4G graphs summarize the disappearance of the notch after rTMS and the increase in evoked amplitudes across nine different experiments, notably without normalization or alignment of the individual time courses, emphasizing the consistency of the obtained results. The pre/post-TMS difference in visually driven time courses started at ∼65 ms after stimulus onset (asterisk in Fig. 4G, P < 0.05, two-tailed t test) and persisted until the end of the trial. As a consequence, activity reached higher amplitudes compared with pre-TMS levels (Fig. 4G, Right graphs). Importantly, in a 10-Hz sham control no changes in activity time courses were observed across the entire experimental duration (Fig. S2).
Finally, to further control whether diminishing of the notch was merely related to unspecific weakening of inhibition over the time course of the experiments, we applied 1 Hz rTMS after the 10 Hz rTMS plasticity protocol. We found that the notch reappeared, demonstrating that inhibition was regained and ruling out unspecific effects on inhibitory drive after prolonged 10 Hz rTMS (Fig. 4 D and E). Still it might be possible that the applied combination of high- and low-frequency rTMS triggered additional homeostatic mechanisms, for example involving glutamatergic modulation of interneurons (49).
In summary our data suggest that the immediate effect of repetitive TMS pulses is to weaken intracortical inhibition. Reduced inhibition might thus be an initial driving force for early LTP effects and increased cortical excitability after high-frequency rTMS.
Discussion
Using VSD in an “on-line TMS-neuroimaging approach” (14), we provide for the first time to our knowledge highly resolved spatiotemporal data of TMS-induced cortical dynamics at the population level. In particular, we show artifact-free measurements of local intracortical events within the immediate 10 ms following a given TMS pulse.
Whereas VSD imaging is limited to animal models because of its invasive nature, other imaging methods such as EEG or fMRI allow human applications. In contrast to imaging of blood oxygen level-dependent (BOLD) signals, which are inevitably slow because of their dependence on hemodynamics, we here measured neuronal activity directly as voltage changes across neuronal membranes. Commonly, immediate detection of the fluctuations in neuronal membrane potentials suffers from artifacts introduced by the TMS coil discharge, leading to overload of recording amplifiers around the time point of TMS pulses (22, 36) and masking of neuronal effects, which can gradually be reduced by only advanced technologies (50–53). Obviously, VSD imaging does not provide single-cell resolution and is limited to cortical surface areas. On the other hand, it avoids biased sampling of neurons and also captures their subthreshold responses (25, 27, 54), hence providing a global picture of the net activation levels across neuronal populations under different stimulus conditions. As the VSD acts as a molecular transducer by transforming voltage into optical signals, our method provides as such microsecond time resolution and additionally avoids the above-mentioned electricity-dependent artifact problems.
We showed over a milliseconds to several minutes timescale that, following a first single TMS magnetic pulse, cortical population activity briefly peaks and then immediately declines much below baseline, indicating suppression. This suggests that TMS delivers a strong volley that predominantly affects inhibitory neurons (55, 56), most likely of the parvalbumin-expressing type (57). Because of their soma targeting on pyramidal neurons (58), and possibly because of their far-reaching axonal-dendritic structure (59) enhancing TMS sensitivity (60), these interneurons may impose strong synchronized inhibition in the affected cortical network (10).
To provide evidence that the observed suppression most likely does not reflect overriding intrinsic signals (e.g., hemodynamic related changes due to vessel constriction, light scatter changes) and depends on the functional state of the cortex, we combined a single TMS pulse with simultaneous visual stimulation (Fig. S3). By temporally resolving cortical responses to each TMS pulse, we demonstrate that starting from the initial “basin of suppression,” consecutive TMS pulses (10 Hz) produce a stepwise buildup of activity, reaching signal levels that suggest massive spiking across large populations of neurons. These results promote the view that subsequent TMS pulses, each within a 100-ms time window, weaken inhibitory drive (57) and activate excitatory circuits that outbalance inhibition involving NMDA-receptor activation (61), overall leading to an excitatory state of the cortex (62).
We then investigated how continuous rTMS (20–30 min) affects visual processing. First, we showed opposing effects of TMS frequency in that 1 Hz stimulation led to LTD whereas 10 Hz rTMS led to LTP-like behavior, evident in lower and higher amplitudes of evoked visual responses, respectively. Similar effects of increased or decreased excitability dependent on TMS frequency were originally found in motor cortex (63, 64). Second, we addressed the question of how early LTP, along with the observed increase in excitability, influences cortical activation dynamics. In fact, there is a considerable uncertainty about the neuronal mechanisms underlying plastic TMS effects, particularly regarding LTP-like functioning (45, 65). We found that the DA notch (46), as a signature of intracortical inhibition counteracting the excitatory visual input during the rising phase of cortical responses (24), was diminished (reversible through low-frequency TMS). The disappearance of the notch does not exclude additional involvement of facilitatory mechanisms acting on longer timescales (42) and changing excitation–inhibition balance in favor of LTP-like excitation. Additionally, volatile anesthesia as used here reduces spontaneous activity and increases inhibition (66). Hence, the excitatory levels found after high-frequency stimulation might be underestimated, whereas notch strength before TMS might be overestimated. Future studies may provide further mechanistic insights through systematic variation in TMS intensity (35, 67, 68) or by testing the dependence of the TMS effect on cortical states (22, 39, 49, 69). However, our results suggest reduced inhibitory drive as one major origin of rTMS-induced increased excitability of the visual cortex.
In conclusion, we have shown that combining TMS with VSD imaging allows highly resolved visualization of TMS-induced population dynamics—both at sub- and at suprathreshold synaptic levels—across several square millimeters of cortex in an animal model. In the future, these capacities might provide a powerful approach to study cortical reorganization processes (70, 71) of the functional neuronal architecture induced by TMS-based plasticity and learning protocols.
Materials and Methods
Preparation for Optical Imaging.
All experiments were carried out in accordance with the European Union Community Council guidelines and approved by the German Animal Care and Use Committee (application no. AZ 87-51.04.2010.A305) in accordance with the Deutsches Tierschutzgesetz (section 8 Abs. 1) and the National Institutes of Health guidelines. We applied TMS and visual stimuli to cats (n = 15, 7 males and 8 females, adult). Animals were initially anesthetized with ketamine (20 mg⋅kg−1 i.m.) and xylazine (20 mg·mL−1, 0.03 mL⋅kg−1 i.m.) and then continuously anesthetized and artificially respirated with 0.8–1.5% (vol/vol) isoflurane in a 1:2 mixture of O2/N2O, fed intravenously, and paralyzed after surgery by i.v. perfusion of Pancuronium (0.04–0.05 mg⋅kg−1⋅h−1; Inresa). We administered Fortecortin (0.4 mg⋅kg−1 i.m.; Merck) and atropine sulfate (0.05 mg⋅kg−1 i.m.) daily and perfused i.v. Cephazolin (2 mg⋅kg−1⋅h−1; Fresenius). Heart rate, intratracheal pressure, exhaled CO2, and body temperature were monitored. To avoid artifacts due to eddy currents in nearby metal parts, the stereotaxic frame was constructed using polyoxymethylene (POM) as material. Additionally, the recording chamber was made of polyether ether ketone (PEEK). The chamber was mounted after the skull was opened above the visual cortex (area 18, occasionally including parts of area 17). The dura was removed and the cortex was stained for ∼3 h with voltage-sensitive dye (RH-1691). For further details see ref. 54.
Transcranial Magnetic Stimulation.
Magnetic pulses were generated by a MagStim rapid2 stimulator (The Magstim Company Ltd.) and applied to the occipital cortex via a 90-mm circular coil (to optimize camera access, 11 experiments) or a 70-mm figure-of-eight coil (4 experiments). Coils were covered with wet cotton compresses ventilated by a microventilator to avoid overheating. The circular coil was placed 5–10 mm above the skull enclosing the cranial chamber as shown schematically in Fig.1A. To position the strongest induced electric field as close as possible to the imaged area, and at the same time to avoid any contact with stereotactic equipment in front of the animal, the coil was placed slightly off center with respect to the recording chamber. When a double coil was used, it was positioned obliquely behind the cat’s head closest to the chamber. In all cases coil position was adjusted to create an unobstructed view through the camera lens. Stimulator output was measured by a semiconductor probe based on n-type doped Ga-As heterostructure (A. Wieck, Faculty of Physics, Ruhr University Bochum). The stimulator generated 400-µs biphasic magnetic pulses, and output was set to 60% of maximal intensity, corresponding to peak magnetic field strength of 0.2−0.5 T (Fig. 1B) and induced electric field of 25−80 V⋅m−1 at the location of the imaged cortex (estimation procedure in SI Text 1). TMS-evoked peripheral muscle contractions before paralysis of the animal indicated stimulation strength above motor threshold.
Data Acquisition and Processing.
Optical imaging was performed using Imager 3001 (Optical Imaging Inc.). As a crucial step, to avoid TMS-induced camera movement artifacts, we rebuilt the optics of an original 50-mm Nikon lens system within a chassis of plastic material (PEEK). The camera was focused ∼500 μm below the cortical surface. Data acquisition onset was synchronized with heartbeat and respiration. For detection of changes in fluorescence the cortex was illuminated with light of wavelength 630 ± 10 nm and emitted light above 665 nm was collected. The recording frame rate was set to 100 Hz. The raw imaging data were preprocessed by dividing each pixel value by an average 200 ms prestimulus activity and subsequently subtracted by the average of two blanks (i.e., recordings without TMS or visual stimulus, see below) to remove heartbeat and respiration noise. These processing steps led to a unitless relative signal of fluorescence changes, denoted by ∆F/F.
TMS Protocols.
Combined TMS and VSD imaging.
Each recording block comprised two blank trials, where spontaneous activity was recorded, followed by five trials of either 0.15 Hz (referred to as “single TMS pulses”) or 10 Hz TMS (five pulses within each trial) and a final blank trial. Each trial spanned 1 s, including 200 ms prestimulus time.
Plasticity protocol.
To affect cortical excitability and plasticity, TMS was applied for a period of 25–30 min. The protocols contained sequences of five pulses (10 Hz) triggered every 7 s, corresponding to the TMS protocols used during combined VSD imaging (see above), or low-frequency sequences (1 Hz, 2 × 600 pulses, separated by 10 min to avoid overheating of the coil), while coil positioning and TMS intensity were kept constant over the entire experiment.
Visual Stimuli.
To measure visually evoked cortical responses, moving sine-wave gratings were used (Michelson’s contrast: 1 and 0.2 cycles per degree, 6 cycles per second, mean luminance 35 cd/m2) with eight orientations (22.5° steps, seven experiments) or two to four orthogonal orientations (eight experiments), including opposite motion directions. For analysis, activity across all orientations was averaged. Additionally, two blank conditions were recorded, in which an isoluminant gray screen was shown. Trials were presented in pseudorandom order, and each trial lasted 1 s, including 200 ms prestimulus time. VSD imaging of evoked responses was carried out for 2−4 h before and after the TMS plasticity protocol to follow the time course of alterations of cortical function due to TMS.
Analysis of TMS-Induced Activity.
Experimental datasets comprised at least 30 repetitions of trials with either visual or magnetic stimulation. This trial number provided normal distributions of the observed activation values (Lilliefors test at 5% significance level) and allowed using parametric statistics in most of the cases. The region of interest (ROI) was set by encircling the area of the image in which clear visual responses were observed. Images were corrected by the SD of the first blank condition (formulas in SI Text 2).
Tetrodotoxin Citrate.
To control for contamination of the imaging signals by possible vibrational artifacts during TMS, we used tetrodotoxin citrate (TTX) (Tocris Bioscience) to selectively block sodium channels and to thus inactivate the recorded cortical tissue (n = 9 different experiments; example in Fig. 1D, stippled line). The chamber was filled with 20 µM TTX dissolved in Ringer’s solution for 30 min. Application of TTX abolished both the visual and the TMS-induced activation without indication of artifacts in all experiments where the custom-built PEEK camera lens was used.
Supplementary Material
Acknowledgments
We thank Dr. Andreas Wieck for the custom-made semiconductor probe and valuable technical advice; Tobias Grunewald for magnetic field measurements; Stefan Dobers and Hans-Dieter Knoop (mechanical shop of Faculty of Biology and Biotechnology, Ruhr-University Bochum) for excellent technical assistance; Christian Vilter, Clemens Wirtz, and Holger Zemzycki (mechanical shop of the Faculty of Physics and Astronomy, Ruhr-University Bochum) for in-house PEEK rebuild of a Nikon lens chassis; and Sascha Rekauzke for assistance during experiments. We thank Drs. Hubert Dinse and Klaus Funke for helpful discussions on the manuscript. This work was financially supported by the Deutsche Forschungsgemeinschaft (DFG) (SFB 874 TP A2 to D.J. and U.T.E.), the German–Israeli Project Cooperation (JA 945/3-1), and the DFG priority programme 1665 (JA 945/4-1).
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1405508111/-/DCSupplemental.
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