Skip to main content

Advertisement

Log in

Three-dimensional Localization of Abnormal EEG Activity in Migraine

A Low Resolution Electromagnetic Tomography (LORETA) Study of Migraine Patients in the Pain-free Interval

  • Original Paper
  • Published:
Brain Topography Aims and scope Submit manuscript

Abstract

Investigating the brain of migraine patients in the pain-free interval may shed light on the basic cerebral abnormality of migraine, in other words, the liability of the brain to generate migraine attacks from time to time. Twenty unmedicated “migraine without aura” patients and a matched group of healthy controls were investigated in this explorative study. 19-channel EEG was recorded against the linked ears reference and was on-line digitized. 60 × 2-s epochs of eyes-closed, waking-relaxed activity were subjected to spectral analysis and a source localization method, low resolution electromagnetic tomography (LORETA). Absolute power was computed for 19 electrodes and four frequency bands (delta: 1.5–3.5 Hz, theta: 4.0–7.5 Hz, alpha: 8.0–12.5 Hz, beta: 13.0–25.0 Hz). LORETA “activity” (=current source density, ampers/meters squared) was computed for 2394 voxels and the above specified frequency bands. Group comparison was carried out for the specified quantitative EEG variables. Activity in the two groups was compared on a voxel-by-voxel basis for each frequency band. Statistically significant (uncorrected P < 0.01) group differences were projected to cortical anatomy. Spectral findings: there was a tendency for more alpha power in the migraine that in the control group in all but two (F4, C3) derivations. However, statistically significant (P < 0.01, Bonferroni-corrected) spectral difference was only found in the right occipital region. The main LORETA-finding was that voxels with P < 0.01 differences were crowded in anatomically contiguous cortical areas. Increased alpha activity was found in a cortical area including part of the precuneus, and the posterior part of the middle temporal gyrus in the right hemisphere. Decreased alpha activity was found bilaterally in medial parts of the frontal cortex including the anterior cingulate and the superior and medial frontal gyri. Neither spectral analysis, nor LORETA revealed statistically significant differences in the delta, theta, and beta bands. LORETA revealed the anatomical distribution of the cortical sources (generators) of the EEG abnormalities in migraine. The findings characterize the state of the cerebral cortex in the pain-free interval and might be suitable for planning forthcoming investigations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

EEG:

Electroencephalography

QEEG:

Quantitative electroencephalography

LORETA:

Low resolution electromagnetic tomography

MEG:

Magnetoencephalography

References

  • Alam Z, Coombes N, Waring RH, Williams AC, Steventon GB (1998) Plasma levels of neuroexcitatory amino acids in patients with migraine or tension headache. J Neurol Sci 156:102–106

    Article  PubMed  CAS  Google Scholar 

  • Bowyer SM, Mason KM, Moran JE, Tepley N, Mitsias PD (2005) Cortical hyperexcitability in migraine patients before and after sodium valproate treatment. J Clin Neurophysiol 22:65–67

    Article  PubMed  Google Scholar 

  • Calandre EP, Bembibre J, Arnedo ML, Becerra D (2002) Cognitive disturbances and regional blood flow abnormalities in migraine patients: their relationship with the clinical manifestations of the illness. Cephalalgia 22:291–302

    Article  PubMed  CAS  Google Scholar 

  • Cao Y, Aurora SK, Nagesh V, Patel SC, Welch KM (2002) Functional MRI-BOLD of brainstem structures during visually triggered migraine. Neurology 59:72–78

    Article  PubMed  CAS  Google Scholar 

  • De Benedettis G, Ferrari Da Passano C, Granata G, Lorenzetti A (1999) CBF changes during headache-free periods and spontaneous/induced attacks in migraine with and without aura: a TCD and SPECT comparison study. J Neurosurg Sci 43:141–146

    Google Scholar 

  • de Tommaso M, Marinazzo D, Stramaglia S (2005) The measure of randomness by leave-one-out prediction error in the analysis of EEG after laser painful stimulation in healthy subjects and migraine patients. Clin Neurophysiol 116:2775–2782

    Article  PubMed  Google Scholar 

  • Drake EM Jr, Du Bois C, Stephen BA, Huber J, Pakalnis A, Lena SD (1988) EEG spectral analysis and time domain descriptors in headache. Headache 28:201–203

    Article  PubMed  Google Scholar 

  • Fachetti D, Marsile C, Faggi L, Donati E, Kokodoko A, Ploni M (1990) Cerebral mapping in subjects suffering from migraine with aura. Cephalalgia 10:279–284

    Article  Google Scholar 

  • Frei E, Gamma A, Pascual-Marqui RD, Lehmann D, Hell D, Vollenweider FX (2001) Localization of NMDA-induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA). Hum Brain Mapping 14:152–165

    Article  CAS  Google Scholar 

  • Headache Classification Committee of the International Headache Society (1988) Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain. Cephalalgia 8(Suppl 7):10–73

    Google Scholar 

  • Jonkman EJ, Lelieveld MHJ (1981) EEG computer analysis in migraine. Electroencephalogr Clin Neurophysiol 52:652–655

    Article  PubMed  CAS  Google Scholar 

  • Koeda T, Takeshima T, Matsumoto PT, Nakashima K, Takeshita K (1999) Low interhemispheric and high intrahemispheric EEG coherence in migraine. Headache 39:280–286

    Article  PubMed  CAS  Google Scholar 

  • Kruit MC, Launer LJ, van Buchem MA, Terwindt GM, Ferrari MD (2005) MRI findings in migraine. Rev Neurol 161:661–665

    PubMed  CAS  Google Scholar 

  • Lodi R, Tonon C, Testa C, Manners D, Barbiroli B (2006) Energy metabolism in migraine. Neurol Sci 27(Suppl 2):S82–S85

    Article  PubMed  Google Scholar 

  • Matharu MS, Good CD, May A, Bahra A, Goadsby PJ (2003) No change in the structure of the brain in migraine: a voxel-based morphometric study. Eur J Neurol 10:53–57

    Article  PubMed  CAS  Google Scholar 

  • Michel CM, Murray MM, Lantz G, Gonzalez S, Spinelli L, de Peralta RG (2004) EEG source imaging. Clin Neurophysiol 115:2195–2222

    Article  PubMed  Google Scholar 

  • Neufeld MY, Treves TA, Korczyn AD (1991) EEG and topographic frequency analysis in common and classic migraine. Headache 31:232–236

    Article  PubMed  CAS  Google Scholar 

  • Nunez PL (1995) Quantitative states of neocortex. In: Nunez PL (ed) Neocortical dynamics and human EEG rhythms. Oxford University Press, New York, pp 1–18

    Google Scholar 

  • Nunez PL (2000) Toward a quantitative description of large-scale neocortical dynamic function and EEG. Behav Brain Sci 23:371–437

    Article  PubMed  CAS  Google Scholar 

  • Nunez PL, Silberstein RB (2000) On the relationship of synaptic activity to macroscopic measurements: does co-registration of EEG with fMRI make sense? Brain Topogr 13:79–96

    Article  PubMed  CAS  Google Scholar 

  • Nunez PL, Wingeier BM, Silberstein RB (2001) Spatio-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks. Hum Brain Mapping 13:125–164

    Article  CAS  Google Scholar 

  • Nuwer M, Lehmann D, Lopes da Silva F, Matsuoka S, Sutherling W, Vibert JF (1994) IFCN guidelines for topographic and frequency analysis of EEGs and EPs. Report of an IFCN committee. Electroenceph Clin Neurophysiol 91:1–5

    Article  PubMed  CAS  Google Scholar 

  • Nyrke T, Kangasniemi P, Lang H (1990) Alpha rhythm in classical migraine (migraine with aura): abnormalities in the headache-free interval. Cephalalgia 10:177–181

    Article  PubMed  CAS  Google Scholar 

  • Oakes TR, Pizzagalli DA, Hendrick AM, Horras KA, Larson CL, Abercrombie HC, Schaefer SM, Koger JV, Davidson RJ (2004) Functional coupling of simultaneous electrical and metabolic activity in the human brain. Hum Brain Mapping 21:257–270

    Article  Google Scholar 

  • Pascual-Marqui RD (2002) Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. Methods Find Exp Clin Pharmacol 24(Suppl C):91–96

    PubMed  Google Scholar 

  • Pascual-Marqui RD, Michel CM, Lehmann D (1994) Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol 18:49–65

    Article  PubMed  CAS  Google Scholar 

  • Pascual-Marqui RD, Esslen M, Kochi K, Lehmann D (2002) Functional imaging with low-resolution brain electromagnetic tomography (LORETA): review, new comparisons, and new validation. Jap J Clin Neurophysiol 30:81–94

    Google Scholar 

  • Pizzagalli DA, Nitschke JB, Oakes TR, Hendrick AM, Horras KA, Larson CL, Abercrombie HC, Schaefer SM, Koger JV, Benca RM, Pascual-Marqui RD, Davidson RJ (2002) Brain electrical tomography in depression: the importance of symptom severity, anxiety, and melancholic features. Biol Psychiat 52:73–85

    Article  PubMed  Google Scholar 

  • Rajda C, Tajti J, Komoróczy R, Seres E, Klivényi P, Vécsei L (1999) Amino acids in the saliva of patients with migraine. Headache 39:644–649

    Article  PubMed  CAS  Google Scholar 

  • Robinson PA, Rennie CJ, Rowe DL, O’ Connor SC (2004) Estimation of multiscale neurophysiologic parameters by electroencephalographic means. Hum Brain Mapping 23:53–72

    Article  CAS  Google Scholar 

  • Shinoura N, Yamada R (2005) Decreased vasoreactivity to right cerebral hemisphere pressure in migraine without aura: a near-infrared spectroscopy study. Clin Neurophysiol 116:1280–1285

    Article  PubMed  Google Scholar 

  • Silberstein RB (1995) Neuromodulation on neocortical dynamics. In: Nunez PL (ed) Neocortical dynamics and human EEG rhythms. Oxford University Press, New York, pp 591–625

    Google Scholar 

  • Siniatchin M, Gerber WD, Kropp P, Vein A (1999) How the brain anticipates an attack: a study of neurophysiological periodicity in migraine. Funct Neurol 14:69–77

    Google Scholar 

  • Talairach J, Tournoux P (1988) Co-planar stereotaxic atlas of the human brain: 3-D proportional system. Thieme, Stuttgart

    Google Scholar 

  • Thatcher RW, North D, Biver C (2005) Evaluation and validity of a LORETA normative EEG database. Clin EEG Neurosci 36:116–122

    PubMed  CAS  Google Scholar 

  • Traub RD, Whittington MA, Buhl EH, LeBeau FE, Bibbig A, Boyd S, Cross H, Baldeweg T (2001) A possible role for gap junctions in generation of very fast EEG oscillations preceding the onset of, and perhaps initiating, seizures. Epilepsia 42:153–170

    Article  PubMed  CAS  Google Scholar 

  • Vonderheid-Guth B, Todorova A, Wedekind W, Dimfel W (2000) Evidence for neuronal dysfunction in migraine: concurrence between specific qEEG findings and clinical drug response – a retrospective analysis. Eur J Med Res 5:473–483

    PubMed  CAS  Google Scholar 

  • Welch KM (2005) Brain hyperexcitability: the basis for antiepileptic drugs in migraine prevention. Headache Suppl 1:S25–S32

    Article  Google Scholar 

Download references

Acknowledgment

Support: This study was carried out without utilizing any financial support or grant.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Béla Clemens.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Clemens, B., Bánk, J., Piros, P. et al. Three-dimensional Localization of Abnormal EEG Activity in Migraine. Brain Topogr 21, 36–42 (2008). https://doi.org/10.1007/s10548-008-0061-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10548-008-0061-6

Keywords

Navigation