Steady-state visual evoked potentials in the low frequency range in migraine: a study of habituation and variability phenomena

Tommaso, Marina de; Stramaglia, Sebastiano; Schoffelen, Jan Mathijs; Guido, Marco; Libro, Giuseppe; Losito, Luciana; Sciruicchio, Vittorio; Sardaro, Michele; Pellicoro, M.; Fm, Puca

doi:10.1016/s0167-8760(03)00117-x

Cited by 25 publications

(23 citation statements)

References 20 publications

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“…This is consistent with previous reports of VEPs [30] and psychophysical findings [45,58]. Although the question of predominance of P or M neuronal dysfunction remains, it is likely that migraine patients have pre-cortical dysfunctions, in addition to altered excitability of the visual cortex [28].…”

Section: Resultssupporting

confidence: 92%

“…To date, habituation phenomena in normal subjects have not been evaluated in a SSVEP study. The present results are, however, consistent with steady-state VEPs using flash stimuli in a low frequency range of 3, 6, and 9 Hz [28]. These VEP studies are supported by habituation characteristics that show a relationship among stimulus repetition rates, stimulus characteristics, and degree of habituation [34].…”

Section: Discussionsupporting

confidence: 85%

“…A previous study [28] reported that steady-state VEP, induced by flash stimuli at low frequency range, altered amplitude in a complex way, which could be explained by a variability phenomenon. Increased variability with response to low-temporal frequency in migraine could be interpreted as an overactive regulation mechanism, and this effect may result from activation of the M extrastriate pathways.…”

Section: Resultsmentioning

confidence: 91%

“…There have been a number of reports on steadystate VEPs induced by flash stimuli [16][17][18][19][20][21][22][23][24][25][26][27], including an habituation study [28]. These studies suggest a general modification in the pattern of visual reactivity.…”

Section: Introductionmentioning

confidence: 99%

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Spatial frequency differentially affects habituation in migraineurs: a steady-state visual-evoked potential study

et al. 2011

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A lack of habituation in visual-evoked potentials (VEPs) is the main abnormality observed in migraineurs. However, no study of steady-state VEPs has yet evaluated pattern-reversal stimuli with respect to habituation behavior or spatial frequency. The aim of this study was to clarify habituation behavior in migraineurs between attacks and to establish characteristics of VEPs in these patients. Steady-state VEPs were sequentially recorded as checkerboard patterns in four consecutive blocks from 12 patients with migraine without aura (MO), 12 patients with migraine with aura (MA), and 12 healthy controls (HC) at four spatial frequencies of 0.5, 1.0, 2.0, and 4.0 cycles per degree (cpd) with a stimulus rate of 7.5 Hz (15 reversal/s). VEP amplitudes were consistently higher in migraineurs. However, habituation was not demonstrated in HCs, and migraineurs did not reveal a clear lack of habituation. MAs exhibited high-amplitude VEPs, depending on spatial frequency. In the MA patients, amplitude differences reached statistical significance at 2.0 cpd. The sequential amplitude changes at 0.5 cpd were significantly different in MAs compared with HCs. Migraine patients exhibited high-amplitude VEPs, which were dependent on spatial frequency, and may be related to altered excitability in pre-cortical and cortical visual processing.

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Section: Resultssupporting

confidence: 92%

Section: Discussionsupporting

confidence: 85%

Section: Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatial frequency differentially affects habituation in migraineurs: a steady-state visual-evoked potential study

et al. 2011

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“…There are not satisfactory researches to determine the characterization of migraine completely yet. But recent researches show that diagnosis of migraine patient can be realized by using electroencephalograph (EEG) signals [2][3][4][5][6][7][8][9][10][11]. EEG signals are used to diagnose the migraine under repetitive flash stimulation which is the most preferred method for revealing the characteristics of migraine patients [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Repetitive Flash Stimulation Frequencies and Record Periods to Detect Migraine Using Artificial Neural Network

2010

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Different kind of methods has been applied to detect the migraine by using flash stimulation. Especially frequency analysis of EEG signal is the most preferred method to detect the migraine by using flash stimulation. Different flash stimulation frequencies at wide frequency range have been used in migraine detection. But the effects of these flash stimulation frequencies and the most effective frequency can be determined by analyzing these frequencies separately. Since each stimulation frequency has been implemented in different time periods, it is necessary to determine the time period to detect magnitude increase in migraine patients. The aim of this study is to determine the most effective flash stimulation frequency and time duration to detect the migraine. In this study, we analyzed the flash stimulation frequencies and time duration separately for detecting migraine. Performance of each flash stimulation frequency has been determined to detect the migraine by analyzing the power spectrums obtained under 2 Hz, 4 Hz and 6 Hz and artificial neural network has been used to determine the which data has a superior performance. Afterwards we analyzed the 2 s, 4 s, 6 s, 8 s and 10 s of flash stimulation periods separately by observing the power spectrums and the results are verified by using artificial neural network. As a result of this study we proposed the 4 Hz of flash stimulation frequency is the most effective frequency and 8 s time period is necessary to detect the migraine at the beta band of EEG's T5-T3 channel.

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Electrophysiological basis for antiepileptic drugs in migraine prevention

Lai

Pan²,

Liao

et al. 2020

Progress in Brain Research

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Steady-state visual evoked potentials in the low frequency range in migraine: a study of habituation and variability phenomena

Cited by 25 publications

References 20 publications

Spatial frequency differentially affects habituation in migraineurs: a steady-state visual-evoked potential study

Spatial frequency differentially affects habituation in migraineurs: a steady-state visual-evoked potential study

Analysis of Repetitive Flash Stimulation Frequencies and Record Periods to Detect Migraine Using Artificial Neural Network

Electrophysiological basis for antiepileptic drugs in migraine prevention

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