nach oben

Erschienen in:

Open Access 01.12.2020 | Research article

Short-latency afferent inhibition and somato-sensory evoked potentials during the migraine cycle: surrogate markers of a cycling cholinergic thalamo-cortical drive?

verfasst von: Gianluca Coppola, Davide Di Lenola, Chiara Abagnale, Fabio Ferrandes, Gabriele Sebastianelli, Francesco Casillo, Cherubino Di Lorenzo, Mariano Serrao, Maurizio Evangelista, Jean Schoenen, Francesco Pierelli

Erschienen in: The Journal of Headache and Pain | Ausgabe 1/2020

Abstract

Background

Short-latency afferent inhibition (SAI) consists of motor cortex inhibition induced by sensory afferents and depends on the excitatory effect of cholinergic thalamocortical projections on inhibitory GABAergic cortical networks. Given the electrophysiological evidence for thalamo-cortical dysrhythmia in migraine, we studied SAI in migraineurs during and between attacks and searched for correlations with somatosensory habituation, thalamocortical activation, and clinical features.

Methods

SAI was obtained by conditioning the transcranial magnetic stimulation-induced motor evoked potential (MEP) with an electric stimulus on the median nerve at the wrist with random stimulus intervals corresponding to the latency of individual somatosensory evoked potentials (SSEP) N20 plus 2, 4, 6, or 8 ms. We recruited 30 migraine without aura patients, 16 between (MO), 14 during an attack (MI), and 16 healthy volunteers (HV). We calculated the slope of the linear regression between the unconditioned MEP amplitude and the 4-conditioned MEPs as a measure of SAI. We also measured SSEP amplitude habituation, and high-frequency oscillations (HFO) as an index of thalamo-cortical activation.

Results

Compared to HV, SAI, SSEP habituation and early SSEP HFOs were significantly reduced in MO patients between attacks, but enhanced during an attack. There was a positive correlation between degree of SAI and amplitude of early HFOs in HV, but not in MO or MI.

Conclusions

The migraine cycle-dependent variations of SAI and SSEP HFOs are further evidence that facilitatory thalamocortical activation (of GABAergic networks in the motor cortex for SAI), likely to be cholinergic, is reduced in migraine between attacks, but increased ictally.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Evoked potential

HFO

High-frequency oscillation

Healthy volunteer

ISI

Interstimulus interval

LAI

Long-latency afferent inhibition

MEP

Motor evoked potential

Migraine without aura during the attack

Migraine without aura between attacks

SAI

Short-latency afferent inhibition

SSEP

Somatosensory evoked potentials

TMS

Transcranial magnetic stimulation

Background

A number of neurophysiological and neuroimaging studies have shown dysfunctions of both somatosensory and motor systems in the brain of migraine patients [1‐8]. Recently, the integration between the two systems was also found to be altered in migraineurs, especially during an attack [9, 10]. Part of the evidence comes from a study of the phenomenon of short-latency afferent inhibition (SAI) by which a peripheral sensory afferent volley inhibits the homotopic muscle response obtained by stimulation of the motor cortex [11]. SAI is typically studied by conditioning a transcranial magnetic stimulus (TMS)-evoked motor potential (MEP) by a preceding electrical stimulus of a peripheral nerve, usually the median nerve at the wrist. The peripheral electrical stimulus inhibits the motor-evoked potential and the degree of this inhibition depends on the interval between the sensory and the motor stimuli (ISI). For SAI to occur, both the motor and somatosensory systems must be functionally intact. SAI depends on the excitatory effect exerted by cholinergic thalamocortical afferents on inhibitory GABAergic cortical networks [11]. Previous studies have shown that migraineurs are characterized by ictal and interictal dysfunctions of both thalamic and cortical somatosensory nodes [2, 12‐14], and of the cortical synaptic plasticity partially depending on GABAergic mechanisms [15‐17].

SAI was previously reported to be decreased during the pre-ictal and ictal phases of episodic migraine [10], but in this study ISIs were predetermined and equal in all subjects. In fact, the SAI protocol should preferentially adjust ISIs according to the individual latency of the N20 component of the somatosensory potential evoked by the peripheral stimulus that indicates the arrival of the afferent volley in cortical area S1 [18, 19].

In the present study we applied such a protocol in healthy volunteers and migraine patients during and between attacks. We recorded SAI at 4 different ISIs, determined on the basis of the SSEP N20 latency in each individual as well as somatosensory high-frequency oscillatory activity reflecting thalamocortical activation, in order to evaluate sensorimotor control and its relationship to the activity of thalamocortical afferents. We searched for correlations between the neurophysiological data and clinical migraine features.

Subjects and methods

Participants

In 2016 and 2017 we prospectively recruited 30 patients with migraine without aura at the headache clinic of the Sapienza University of Rome Polo Pontino in Latina (Italy). Of these patients, 16 were recorded during the pain-free period (MO), i.e. at a distance of at least 3 days from the last and the next migraine attack at the time of the recording session. The remaining 14 patients were recorded within the first 8 h of a spontaneous migraine attack, during the headache phase (MI) (see Table 1 for the clinical characteristics). Patients who had received prophylactic therapy in the preceding 3 months or had any other neurological or psychiatric disorder were excluded. For comparison, we recruited 16 healthy volunteers (HV) from the medical and nursing staffs with no personal or family history of migraine or another primary headache. HVs were randomly recorded between patients. All female participants were recorded at mid-cycle at an average of 18.8 (HV), 17.4 (MO) or 17.2 days (MI) after the 1st day of the last menstruation). Clinical information was collected from headache diaries the participants had filled in for at least 1 month before the recording session. The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethical Committee of the ‘Sapienza’ University of Rome. All individuals were naïve to the study procedure and provided written informed consent.

Table 1

Demographic and clinical features of healthy volunteers (HV) and migraine patients without aura between (MO) and during (MI) the attacks. Data are expressed as means ± SD. (p < 0.05 * MO vs. HV, ** MI vs. MO)

Characteristics	HV (n = 16)	MO (n = 16)	MI (N = 14)
Women (n)	12	14	10
Age (years)	27.5 ± 9.4	28.0 ± 7.5	32.2 ± 9.2
Duration of migraine history (years)		12.3 ± 6.8	19.9 ± 10.9 *
Attack frequency/month (n)		2.9 ± 2.5	2.9 ± 2.9
Attack duration (hours)		15.2 ± 15.5	22.1 ± 21.9
Severity of headache (n)		8.0 ± 1.2	7.4 ± 0.9
Days from the last migraine attack (n)		16.4 ± 15.2

Transcranial magnetic stimulation (TMS)

TMS was performed using a MagStim rapid device (MagstimRapid, The Magstim Company Ltd., Whitland, South West Wales, UK) connected to a figure-of-8 coil of which each loop had a 9 cm outer diameter. The coil was placed on the right side of scalp in an optimal position to elicit an electromyographic response in the first dorsal interosseous muscle of the left. The optimal site was labelled with a red dermographic pencil. The motor evoked potential was recorded using silver-chloride cups with the active electrode positioned on the muscle and the reference electrode on the metacarpophalangeal junction of the index finger. The resting motor threshold (RMT) was defined as the minimal intensity needed to evoke an electromyographic response of at least 50 μV with 50% probability in a fully relaxed muscle.

Somatosensory evoked potentials

SSEPs were obtained by electrical stimulation of the left median nerve at the wrist, at an intensity of 1.2 times the motor threshold of the thumb. The active recording electrode was positioned at the C3’ position of the 10–20 international system (2 cm posterior to C3), with the reference electrode at Fz; the ground electrode was positioned over the left arm. The electrocortical signals were amplified with Digitimer D360™ pre-amplifiers, recorded by a CED™ power1401 device (CED Ltd., Cambridge, UK), and off-line analysed with the Signal™ software package version 4.10 (CED Ltd). While subjects were sitting relaxed with open eyes and fixed their attention on the movement of their thumb, 300 non-artefacted traces were acquired at a frequency of 4.4 Hz. On the grand-average trace we measured the latency of the parietal components N20 and P25 and their respective peak-to-peak amplitudes. Subsequently, the 300 traces were averaged in 3 blocks of 100 in order to study SSEP habituation. The peak-to-peak amplitude N20-P25 was measured in each block and habituation was calculated as the slope of the regression line along the amplitudes of the 3 sequential blocks.

Somatosensory high-frequency oscillations (HFOs)

To assess thalamocortical activity, we extracted HFOs from the broad-band SSEP signal using the method published elsewhere [20]. In brief, we applied a digital band-pass filter (450–750 Hz, 51 coefficients) on the grand-average SSEP. From the filtered trace we extrapolated the amplitude of the maximum peak of the two oscillation bursts, i.e. the one that occurs before the N20 peak of the broad-band SSEP (early HFOs), and the one that appears after the N20 peak (late HFOs). By identifying source activity from multichannel scalp recordings and the effect of pharmacological agents, previous studies have determined that the early HFO burst reflects thalamic/thalamocortical activity while the late burst is generated by cortical activation [21, 22].

Short-latency afferent inhibition (SAI)

The recordings were performed in the afternoon between 2 P.M. and 7 P.M. while participants were sitting on a comfortable armchair with eyes closed. The peripheral conditioning stimuli on the median nerve (200 μs duration) were applied to the left wrist with a bipolar electrode at an intensity of 1.2 times the motor threshold. The intensity of the TMS test stimulus over the right motor cortex was set at 120% of the resting motor threshold.

We studied SAI using the following protocol. The peripheral electrical stimulus preceded the cortical magnetic stimulus by interstimulus intervals (ISIs) of 2, 4, 6, or 8 msec set with respect to the latency of the SSEP N20 peak in each subject. The baseline MEP was obtained without the conditioning stimulus. For each participant, 40 acquisitions were performed, 5 for each condition (baseline, 2, 4, 6, 8 ms ISIs), randomly applied with a 5-s intertrial interval, and averaged off-line in 5 blocks. For each block, we measured the average peak-to-peak MEP amplitude whereafter we computed the slope of MEP amplitude regression line between the unconditioned and the 4 conditioned recordings as an overall measure of the SAI effect. Three investigators (DDL, CDL, and CA), not involved in patients’ recruitment, performed the recordings. All recordings were anonymized and analyzed blindly off-line by one investigator (F.F).

Statistical analysis

We used the Statistica for Windows (StatSoft Inc.) version 8.0, for all analyses. An a posteriori sample size calculation based upon a recently published study where SAI was assessed with a similar protocol [10] showed that 7 subjects per group (standardized effect size of 2.0428) are needed to disclose a significant difference between HV and migraine patients during the attack (power 0.90, alpha error 0.05).

Descriptive analysis showed that MEP peak-to-peak amplitudes of the SAI were not normally distributed. After log transformation, all data reached a normal distribution (Kolmogorov-Smirnov test).

A General Linear Model approach was used to analyze the “between-subjects factor” × “within-subjects factors” interaction effect. The between-subjects factor was the variable “group” (HV, MO, and MI); for SAI the within-subjects factor was “ISI” (baseline, 2 ms, 4 ms, 6 ms, and 8 ms) and for SSEP it was “block” (from the 1st to the 3rd block). Two models of repeated measures ANOVA (rm-ANOVA) followed by univariate ANOVAs were employed to investigate the interaction effect. Univariate results were analyzed only if Wilks’ Lambda multivariate significance criterion was achieved.

A regression analysis was used to disclose linear trends in MEP amplitude across ISIs (slope) and in SSEP N20-P25 amplitude across blocks in each group. For SSEP, HFOs, MEP and MEP/SSEP slopes we employed one-way ANOVAs with factor “group” (HV, MO, MI), using least significant difference test for post hoc analysis. P < 0.05 was considered as statistically significant.

Pearson’s correlation test was used to search for correlations between MEP/SSEP amplitude slopes, early/late HFOs and clinical variables such as duration of episodic migraine history, mean monthly attack frequency, mean monthly attack duration, number of days since the last migraine attack, severity of migraine headache on a 0–10 visual analogue scale.

Results

The clinical features did not differ between the 2 groups of migraineurs, except for a significantly longer duration of disease in patients recorded during an attack (F_1,29 = 5.833, p = 0.023, Table 1).

Somato-sensory broad-band evoked potentials (SSEP) and high frequency oscillations (HFO)

N20 and P25 latencies, N20-P25 amplitudes in the grand-average of 300 responses or in the 3 blocks of 100 sequential responses were not different between groups (F_2,45 < 2.5, p > 0.05, Table 2).

Table 2

Latencies and amplitudes of the various cortical SSEP components after median nerve stimulation (mean ± standard deviation)

	HV (n = 16)	MO (n = 16)	MI (N = 14)
N20 (ms)	19.0 ± 0.9	18.6 ± 0.7	18.9 ± 0.9
P25 (ms)	23.6 ± 1.8	23.2 ± 1.7	23.0 ± 2.1
N20-P25 (μV)	2.3 ± 0.9	2.2 ± 0.9	1.8 ± 1.0
1st N20-P25 (μV)	2.8 ± 1.1	2.1 ± 0.9	2.1 ± 1.1
2nd N20-P25 (μV)	2.4 ± 0.9	2.5 ± 0.9	1.9 ± 1.0
3rd N20-P25 (μV)	2.5 ± 0.9	2.5 ± 0.9	1.9 ± 0.9
Slope (block 1–3)	− 0.33 ± 0.44 *	0.49 ± 0.51	−0.14 ± 0.32 **
Early HFOs amplitude (μV)	0.058 ± 0.022 *	0.039 ± 0.019	0.051 ± 0.025
Late HFOs amplitude (μV)	0.061 ± 0.039	0.043 ± 0.019	0.070 ± 0.033

(p < 0.05 * MO vs. HV, ** MI vs. MO) HV Healthy volunteers, MO Migraine patients between attacks, MI Migraine patients during attacks

In the rm-ANOVA model with N20-P25 peak-to-peak amplitude as dependent variable, the multivariate test was significant for the “group” × “block” interaction (Wilks’ Lambda = 0.608, F_4,86 = 7.354, p = 0.00004). In fact, in both HVs and patients during an attack, the linear regression slope of SSEP N20-P25 amplitudes over the 3 blocks showed a negative value, i.e. habituated (slope − 0.33 in HV and − 0.14 in MI, Table 2 & Fig. 1), while it was positive in patients between attacks, indicating a habituation deficit (+ 0.49, p < 0.001 MO vs. HV).

After applying the bandpass digital filter to the grand-average SSEP, amplitude of the early HFOs (F_2,45 = 3.146, p = 0.048) was reduced in MO patients compared to HVs (p = 0.019), while it was within normal range in MI patients (p = 0.398). Amplitude of the late HFOs did not differ between groups (F_2,45 = 2.848, p = 0.069, Table 2 & Fig. 1).

Short-latency afferent inhibition (SAI)

There was no significant difference between groups in the motor thresholds after electrical stimulation of the median nerve or magnetic stimulation of the motor cortex (F_2,45 = 1.40, p = 0.301; F_2,45 = 1.30, p = 0.283 respectively).

In the rm-ANOVA model with MEP peak-to-peak amplitude as dependent variable, the multivariate test was significant for the “group” × “ISI” interaction (Wilks’ Lambda = 0.665, F_8,172 = 2.04, p = 0.045). The linear regression slope of MEP amplitudes over the 5 conditioning latencies, indexing SAI, was significantly different between groups (F_2,45 = 8.571, p = 0.001). The MEP amplitude slope showed a greater positive value in MO patients than in HVs (+ 242.3 in MO vs + 11.2 in HV, p = 0.039), while MI patients had a negative slope (− 129.6, p = 0.043 vs. HV) (Table 3). These results indicate that SAI is reduced between migraine attacks, but increased during an attack.

Table 3

Mean motor thresholds after median nerve and transcranial magnetic stimulation, baseline and conditioned amplitudes of motor evoked potentials (mean ± standard deviation) in healthy volunteers and migraine without aura patients between (MO) and during (MI) the attacks. (p < 0.05 * MO vs. HV, ** MI vs. MO)

	HV (n = 16)	MO (n = 16)	MI (N = 14)
Median nerve motor threshold (mA)	8.6 ± 1.8	7.4 ± 1.9	8.9 ± 2.7
Resting motor threshold (%)	58.3 ± 11.4	55.1 ± 6.0	60.6 ± 9.7
Baseline	2460.3 ± 2771.9	2460.4 ± 2327.0	1868.2 ± 1279.2
2 ms (μV)	1407.2 ± 2025.6	1255.6 ± 1272.5	803.9 ± 803.9
4 ms (μV)	1856.1 ± 2173.5	1920.8 ± 2073.9	906.9 ± 964.0
6 ms (μV)	2418.1 ± 2694.6	2821.2 ± 3104.7	1136.5 ± 962.3
8 ms (μV)	2010.8 ± 2008.6	2887.7 ± 2539.6	1053.7 ± 891.3 **
Slope	11.2 ± 293.5	242.3 ± 334.6 *	−129.6 ± 173.8 **

Correlation analysis

The correlation analysis showed that the slope of MEP amplitudes correlated positively with that of SSEP in HVs (r = 0.540, p = 0.031), while this correlation was not found in the two groups of patients (r = − 0.086, p = 0.751 in MO and r = 0.399, p = 0.158 in MI). Similarly, there was a significant positive correlation between the MEP slope and the amplitude of early somatosensory HFOs in HVs (r = 0.510, p = 0.044), but not in the 2 groups of patients (r = 0.439, p = 0.089 in MO and r = 0.208, p = 0.476 in MI) (Fig. 2).

No clinical variable correlated with neurophysiological results.

Discussion

The main conclusion of this study is that the neurophysiological mechanisms underlying short-latency afferent inhibition (SAI) are dysfunctional in migraine patients: in between attacks SAI is reduced compared to healthy volunteers, while it is increased during an attack. In healthy volunteers, SAI correlates with both habituation of SSEP and amplitude of thalamocortical activity indexed by somato-sensory high frequency oscillations (HFOs). By contrast, such correlation is absent in both subgroups of migraineurs.

The mechanisms underlying SAI are complex. SAI could be induced by the somatosensory projections that reach the dorsomedial and intralaminar thalamic nuclei. In fact, in patients with a thalamic stroke, SAI is abolished, while SSEP remains intact [23]. The primary role of the thalamus in generating SAI can also be exerted indirectly via cortico-cortical modulation of the motor cortex by the somatosensory cortex, as suggested by neuromodulation studies. The latter indicate that experimental protocols raising extracellular GABA levels inhibit S1 pyramidal cells, which reduces their cortico-cortical inhibitory activity on M1 and thus reduces SAI [24]. Concordantly, benzodiazepines, GABA_A receptor agonists, reduce SAI [25]. Moreover, SAI is modulated by acetylcholine: it increases after administration of an acetylcholinesterase inhibitor [26] and decreases after administration of a muscarinic receptor antagonist [27]. In conditions where a central deficit of acetylcholine plays an important pathophysiological role, such as Alzheimer’s disease [26] and mild cognitive impairment [28], SAI is reduced. Taken together, these studies suggest that SAI involves a cholinergic pathway whose activity is modulated by GABA [11].

In patients recorded between attacks, SAI was reduced in our study, while it was enhanced during attacks respective to healthy volunteers. As previously shown, the maximum inhibition occurred at N20 + 2 ms in both HV and patients. The difference between ictal and interictal recordings became evident only when the median nerve stimulus was given at N20 + 8 ms before the TMS stimulus. Similar abnormalities with long ISIs, even exceeding N20 + 8 ms, were observed in various pathologies [11, 29‐31], underlining the fact that short and long afferent inhibitions may be mediated by partially different cortical circuits [11]. This underscores that exploring the sensorimotor system at long ISIs between 200 to 1000 ms (long-latency afferent inhibition, LAI) would be of interest in migraine [11].

Migraine-cycle dependent changes similar to those found for SAI occurred in thalamocortical activity indexed by the amplitude of early SSEP high frequency oscillations, and in SSEP habituation. The latter findings are in accordance with our previous studies in similar groups of patients [2, 12, 13]. The difference between interictal and ictal SAI may thus be due respectively to a decrease and an increase of facilitatory thalamocortical cholinergic activity on GABAergic network activity in the motor cortex. In a previous study, in which we conditioned the MEP by an electrical stimulation of the ulnar nerve 10 msec earlier, the MEP inhibition correlated with amplitude of SSEP early HFOs in a mixed group of healthy volunteers and interictal migraineurs [16]. In the present study, we found a significant positive correlation between the MEP slope and early HFO amplitude or SSEP habituation only in healthy controls. The lack of such correlation in the two subgroups of patients could be related to a dysfunctioning thalamo-cortical control and/or to the greater variance of the thalamo-cortical drive between patients. It is of interest that the interictal reduction of SAI is reminiscent of another neurophysiological abnormality previously reported in children with migraine, i.e. the reduced inhibition of SSEP amplitude after paired stimuli [32], which may be yet another finding in favor of a less efficient subcortical inhibition of sensory cortices [33]. Taken together, the results emphasize the fundamental role of the thalamus in controlling cortical inhibitory mechanisms.

Alaydin et al. reported normal SAI in migraineurs between attacks contrasting with potentiation of the conditioned MEP amplitude in the preictal and ictal phases [10]. The discrepancy with our findings is probably due to the different experimental protocol. While we used 4 different short ISIs, adjusted to the SSEP N20 latency, Alaydin et al. used a conditioning stimulus set at 2 times the sensory threshold and a fixed predetermined stimulus interval of 21 milliseconds. After conditioning by median nerve stimulation, MEP increases instead of decreases may occur with long ISIs [19]. Compared to the Magstim Rapid device we used, the Magstim 200 used in the other study delivers more intense stimuli at the same output percentage and it is known that the SAI magnitude diminishes with increasing TMS intensities [34]. Finally, although no correlation was found with SAI, the migraine history duration was significantly longer in patients we recorded during an attack than in those who were interictal, which might have contributed to the difference in results.

Besides this heterogeneity in duration of the migraine disease between patients’ groups, our study has some additional limitations. For instance, we were not able to record the same patients during and outside the attack, which would have allowed using each patient as its own control and strengthened our conclusions. Regarding the electrophysiological protocol, averaging 5 stimuli per condition might be not enough to obtain stable SAI measure, although in previous studies reliable SAI results were obtained by averaging 3 trials only per condition [29, 30, 35‐37].

Conclusion

We have shown that short-latency afferent inhibition in the motor cortex changes with the phase of the migraine cycle. As suggested by our data, these migraine-state dependent fluctuations may be related to those of cholinergic thalamocortical activity that malfunctions in migraine. Like the lack of somatosensory habituation, the abnormal short-latency afferent inhibition supports a dysfunction of short-term cerebral plasticity mechanisms subtending the recurrence of migraine attacks.

Further studies are necessary in order to verify if these dysfunctional plastic mechanisms of the migrainous brain can be normalized by pharmacological and non-pharmacological interventions and if they are similar or different in chronic migraine with or without medication overuse. Nevertheless, since the mechanisms of SAI might be related to several cognitive domains [28, 38], it seems of interest to search in migraine for a possible relation between SAI abnormalities and the known ictal [39‐42] and interictal [43‐45] impairments of cognitive performance.

Acknowledgements

Not applicable.

All participants received a complete description of the study and granted written informed consent. The Ethical Committee of the ‘Sapienza’ University of Rome, Italy, approved the project.

Not applicable.

Competing interests

The authors declare that they have no competing interests related to this study.

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Coppola G, Currà A, Di Lorenzo C et al (2010) Abnormal cortical responses to somatosensory stimulation in medication-overuse headache. BMC Neurol 10. https://doi.org/10.1186/1471-2377-10-126

Coppola G, Iacovelli E, Bracaglia M et al (2013) Electrophysiological correlates of episodic migraine chronification: evidence for thalamic involvement. J Headache Pain 14:76CrossRef

Hubbard CS, Khan SA, Keaser ML et al (2014) Altered brain structure and function correlate with disease severity and pain catastrophizing in migraine patients. eNeuro 1:e20.14. https://doi.org/10.1523/ENEURO.0006-14.2014 CrossRefPubMed

Hodkinson DJ, Veggeberg R, Kucyi A et al (2016) Cortico–cortical connections of primary sensory areas and associated symptoms in migraine. Eneuro 3:ENEURO.0163-16.2016. https://doi.org/10.1523/ENEURO.0163-16.2016 CrossRefPubMed

Yang F-C, Chou K-H, Hsu A-L et al (2018) Altered brain functional connectome in migraine with and without restless legs syndrome: a resting-state functional MRI study. Front Neurol 9:25. https://doi.org/10.3389/fneur.2018.00025 CrossRefPubMedPubMedCentral

Cosentino G, Di Marco S, Ferlisi S et al (2018) Intracortical facilitation within the migraine motor cortex depends on the stimulation intensity. A paired-pulse TMS study. J Headache Pain 19:65. https://doi.org/10.1186/s10194-018-0897-4 CrossRefPubMedPubMedCentral

Cortese F, Coppola G, Di Lenola D et al (2017) Excitability of the motor cortex in patients with migraine changes with the time elapsed from the last attack. J Headache Pain 18:2. https://doi.org/10.1186/s10194-016-0712-z CrossRefPubMedPubMedCentral

Mykland MS, Bjørk MH, Stjern M et al (2019) Fluctuations of sensorimotor processing in migraine: a controlled longitudinal study of beta event related desynchronization. J Headache Pain 20:77. https://doi.org/10.1186/s10194-019-1026-8 CrossRefPubMedPubMedCentral

Vuralli D, Boran HE, Cengiz B et al (2017) Somatosensory temporal discrimination remains intact in tension-type headache whereas it is disrupted in migraine attacks. Cephalalgia 37:1241–1247. https://doi.org/10.1177/0333102416677050 CrossRefPubMed

10.

Alaydin HC, Vuralli D, Keceli Y et al (2019) Reduced short-latency afferent inhibition indicates impaired sensorimotor integrity during migraine attacks. Headache 59:906–914. https://doi.org/10.1111/head.13554 CrossRefPubMed

11.

Turco CV, El-Sayes J, Savoie MJ et al (2018) Short- and long-latency afferent inhibition; uses, mechanisms and influencing factors. Brain Stimul 11:59–74. https://doi.org/10.1016/j.brs.2017.09.009 CrossRefPubMed

12.

Coppola G, Vandenheede M, Di Clemente L et al (2005) Somatosensory evoked high-frequency oscillations reflecting thalamo-cortical activity are decreased in migraine patients between attacks. Brain 128:98–103. https://doi.org/10.1093/brain/awh334 CrossRefPubMed

13.

Coppola G, De Pasqua V, Pierelli F, Schoenen J (2012) Effects of repetitive transcranial magnetic stimulation on somatosensory evoked potentials and high frequency oscillations in migraine. Cephalalgia 32:700–709. https://doi.org/10.1177/0333102412446313 CrossRefPubMed

14.

Porcaro C, Di Lorenzo G, Seri S et al (2017) Impaired brainstem and thalamic high-frequency oscillatory EEG activity in migraine between attacks. Cephalalgia 37:915–926. https://doi.org/10.1177/0333102416657146 CrossRefPubMed

15.

Brighina F, Giglia G, Scalia S et al (2005) Facilitatory effects of 1 Hz rTMS in motor cortex of patients affected by migraine with aura. Exp Brain Res 161:34–38. https://doi.org/10.1007/s00221-004-2042-7 CrossRefPubMed

16.

Pierelli F, Iacovelli E, Bracaglia M et al (2013) Abnormal sensorimotor plasticity in migraine without aura patients. Pain 154:1738–1742CrossRef

17.

Cosentino G, Fierro B, Vigneri S et al (2014) Cyclical changes of cortical excitability and metaplasticity in migraine: evidence from a repetitive transcranial magnetic stimulation study. Pain 155:1070–1078CrossRef

18.

Di Lazzaro V, Pilato F, Dileone M et al (2005) Dissociated effects of diazepam and lorazepam on short-latency afferent inhibition. J Physiol 569:315–323. https://doi.org/10.1113/jphysiol.2005.092155 CrossRefPubMedPubMedCentral

19.

Fischer M, Orth M (2011) Short-latency sensory afferent inhibition: conditioning stimulus intensity, recording site, and effects of 1 Hz repetitive TMS. Brain Stimul 4:202–209. https://doi.org/10.1016/J.BRS.2010.10.005 CrossRefPubMed

20.

Coppola G, Bracaglia M, Di Lenola D et al (2016) Lateral inhibition in the somatosensory cortex during and between migraine without aura attacks: correlations with thalamocortical activity and clinical features. Cephalalgia 36:568–578. https://doi.org/10.1177/0333102415610873 CrossRefPubMed

21.

Curio G (2000) Linking 600-Hz “spikelike” EEG/MEG wavelets ('σ-bursts’) to cellular substrates: concepts and caveats. J Clin Neurophysiol 17:377–396CrossRef

22.

Porcaro C, Coppola G, Lorenzo GD et al (2009) Hand somatosensory subcortical and cortical sources assessed by functional source separation: an EEG study. Hum Brain Mapp 30. https://doi.org/10.1002/hbm.20533

23.

Oliviero A, Molina León A, Holler I et al (2005) Reduced sensorimotor inhibition in the ipsilesional motor cortex in a patient with chronic stroke of the paramedian thalamus. Clin Neurophysiol 116:2592–2598. https://doi.org/10.1016/j.clinph.2005.07.015 CrossRefPubMed

24.

Kojima S, Onishi H, Miyaguchi S et al (2015) Effects of cathodal transcranial direct current stimulation to primary somatosensory cortex on short-latency afferent inhibition. Neuroreport 26:634–637. https://doi.org/10.1097/WNR.0000000000000402 CrossRefPubMed

25.

Di Lazzaro V, Pilato F, Dileone M et al (2007) Segregating two inhibitory circuits in human motor cortex at the level of GABAA receptor subtypes: a TMS study. Clin Neurophysiol 118:2207–2214. https://doi.org/10.1016/J.CLINPH.2007.07.005 CrossRefPubMed

26.

Di Lazzaro V, Oliviero A, Pilato F et al (2005) Neurophysiological predictors of long term response to AChE inhibitors in AD patients. J Neurol Neurosurg Psychiatry 76:1064–1069. https://doi.org/10.1136/jnnp.2004.051334 CrossRefPubMed

27.

Di Lazzaro V, Oliviero A, Profice P et al (2000) Muscarinic receptor blockade has differential effects on the excitability of intracortical circuits in the human motor cortex. Exp Brain Res 135:455–461. https://doi.org/10.1007/s002210000543 CrossRefPubMed

28.

Nardone R, Bergmann J, Christova M et al (2012) Short latency afferent inhibition differs among the subtypes of mild cognitive impairment. J Neural Transm 119:463–471. https://doi.org/10.1007/s00702-011-0725-3 CrossRefPubMed

29.

Manganelli F, Ragno M, Cacchiò G et al (2008) Motor cortex cholinergic dysfunction in CADASIL: a transcranial magnetic demonstration. Clin Neurophysiol 119:351–355. https://doi.org/10.1016/j.clinph.2007.10.011 CrossRefPubMed

30.

Kawasaki Y, Fujiki M, Ooba H et al (2012) Short latency afferent inhibition associated with cortical compression and memory impairment in patients with chronic subdural hematoma. Clin Neurol Neurosurg 114:976–980. https://doi.org/10.1016/j.clineuro.2012.02.037 CrossRefPubMed

31.

Di Lorenzo F, Martorana A, Ponzo V et al (2013) Cerebellar theta burst stimulation modulates short latency afferent inhibition in Alzheimer’s disease patients. Front Aging Neurosci 5:2. https://doi.org/10.3389/fnagi.2013.00002 CrossRefPubMedPubMedCentral

32.

Valeriani M, Rinalduzzi S, Vigevano F (2005) Multilevel somatosensory system disinhibition in children with migraine. Pain 118:137–144. https://doi.org/10.1016/j.pain.2005.08.026 CrossRefPubMed

33.

Ugawa Y, Genba-Shimizu K, Kanazawa I (1996) Somatosensory evoked potential recovery (SEP-R) in various neurological disorders. Electroencephalogr Clin Neurophysiol - Evoked Potentials 100:62–67. https://doi.org/10.1016/0168-5597(95)00195-6 CrossRefPubMed

34.

Udupa K, Ni Z, Gunraj C, Chen R (2009) Interactions between short latency afferent inhibition and long interval intracortical inhibition. Exp Brain Res 199:177–183. https://doi.org/10.1007/s00221-009-1997-9 CrossRefPubMed

35.

Nardone R, Bergmann J, De Blasi P et al (2010) Cholinergic dysfunction and amnesia in patients with Wernicke-Korsakoff syndrome: a transcranial magnetic stimulation study. J Neural Transm 117:385–391. https://doi.org/10.1007/s00702-009-0347-1 CrossRefPubMed

36.

Lapitskaya N, Gosseries O, De Pasqua V et al (2013) Abnormal corticospinal excitability in patients with disorders of consciousness. Brain Stimul 6:590–597. https://doi.org/10.1016/j.brs.2013.01.002 CrossRefPubMed

37.

Celebi O, Temuçin ÇM, Elibol B, Saka E (2014) Cognitive profiling in relation to short latency afferent inhibition of frontal cortex in multiple system atrophy. Parkinsonism Relat Disord 20:632–636. https://doi.org/10.1016/j.parkreldis.2014.03.012 CrossRefPubMed

38.

Nardone R, Bergmann J, Brigo F et al (2013) Functional evaluation of central cholinergic circuits in patients with Parkinson’s disease and REM sleep behavior disorder: a TMS study. J Neural Transm 120:413–422. https://doi.org/10.1007/s00702-012-0888-6 CrossRefPubMed

39.

Farmer K, Cady R, Bleiberg J, Reeves D (2000) A pilot study to measure cognitive efficiency during migraine. Headache 40:657–661CrossRef

40.

Farmer K, Cady R, Bleiberg J et al (2001) Sumatriptan nasal spray and cognitive function during migraine: results of an open-label study. Headache 41:377–384CrossRef

41.

Gil-Gouveia R, Oliveira A, Martins I (2015) Cognitive dysfunction during migraine attacks: a study on migraine without aura. Cephalalgia 35:662–674CrossRef

42.

Koppen H, Palm-Meinders I, Kruit M et al (2011) The impact of a migraine attack and its after-effects on perceptual organization, attention, and working memory. Cephalalgia 31:1419–1427CrossRef

43.

Le Pira F, Lanaia F, Zappalà G et al (2004) Relationship between clinical variables and cognitive performances in migraineurs with and without aura. Funct Neurol 19:101–105PubMed

44.

Suhr JA, Seng EK (2012) Neuropsychological functioning in migraine: clinical and research implications. Cephalalgia 32:39–54CrossRef

45.

Yetkin-Ozden S, Ekizoglu E, Baykan B (2015) Face recognition in patients with migraine. Pain Pract 15:319–322

Titel: Short-latency afferent inhibition and somato-sensory evoked potentials during the migraine cycle: surrogate markers of a cycling cholinergic thalamo-cortical drive?
verfasst von: Gianluca Coppola
Davide Di Lenola
Chiara Abagnale
Fabio Ferrandes
Gabriele Sebastianelli
Francesco Casillo
Cherubino Di Lorenzo
Mariano Serrao
Maurizio Evangelista
Jean Schoenen
Francesco Pierelli
Publikationsdatum: 01.12.2020
Verlag: Springer Milan
Erschienen in: The Journal of Headache and Pain / Ausgabe 1/2020
Print ISSN: 1129-2369
Elektronische ISSN: 1129-2377
DOI: https://doi.org/10.1186/s10194-020-01104-7

Neu im Fachgebiet AINS

Mehr Frauen im OP – weniger postoperative Komplikationen

21.05.2024 Allgemeine Chirurgie Nachrichten

Ein Frauenanteil von mindestens einem Drittel im ärztlichen Op.-Team war in einer großen retrospektiven Studie aus Kanada mit einer signifikanten Reduktion der postoperativen Morbidität assoziiert.

Delir bei kritisch Kranken – Antipsychotika versus Placebo

16.05.2024 Delir Nachrichten

Um die Langzeitfolgen eines Delirs bei kritisch Kranken zu mildern, wird vielerorts auf eine Akuttherapie mit Antipsychotika gesetzt. Eine US-amerikanische Forschungsgruppe äußert jetzt erhebliche Vorbehalte gegen dieses Vorgehen. Denn es gibt neue Daten zum Langzeiteffekt von Haloperidol bzw. Ziprasidon versus Placebo.

Eingreifen von Umstehenden rettet vor Erstickungstod

15.05.2024 Fremdkörperaspiration Nachrichten

Wer sich an einem Essensrest verschluckt und um Luft ringt, benötigt vor allem rasche Hilfe. Dass Umstehende nur in jedem zweiten Erstickungsnotfall bereit waren, diese zu leisten, ist das ernüchternde Ergebnis einer Beobachtungsstudie aus Japan. Doch es gibt auch eine gute Nachricht.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

hier abonnieren

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Short-latency afferent inhibition and somato-sensory evoked potentials during the migraine cycle: surrogate markers of a cycling cholinergic thalamo-cortical drive?