Reduced Frontal P3a Amplitude in Migraine Patients during the Pain-Free Period

Koo, Yong Seo; Ko, Deokwon; Lee, Gwan Taek; Oh, Kyungmi; Kim, Myung Sun; Kim, Kyung Hwan; Im, Chang-Hwan; Jung, Ki Young

doi:10.3988/jcn.2013.9.1.43

Cited by 9 publications

(7 citation statements)

References 61 publications

(62 reference statements)

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“…Our work shows that monitoring attention processes can be efficiently done over a wide frontocentral area, including prefrontal electrodes [ 15 , 16 ]. In line with this, other research has shown that sampling from frontal electrodes might be sufficient to measure the migraine cycle [ 17 ]. As such, we found it relevant to use a simple and minimal setup with two electrodes for monitoring prefrontal activity.…”

Section: Introductionsupporting

confidence: 53%

Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Shahaf¹,

Kuperman

Bloch

et al. 2018

Sensors

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Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycle. We sampled 12 migraine patients for 20 days within one calendar month. Each session consisted of subjects’ reports of stress level and migraine-related symptoms, and a 5 min EEG recording, with a 2-electrode EEG device, during an auditory oddball task. The first minute of the EEG sample was analyzed. Repetitive samples were also obtained from 10 healthy controls. The brain engagement index increased significantly during the pre-ictal (p ≈ 0.001) and the ictal (p ≈ 0.020) periods compared with the inter-ictal period. No difference was observed between the pre-ictal and ictal periods. Control subjects demonstrated intermediate Brain Engagement Index values, that is, higher than inter-ictal, yet lower than pre-ictal. Our preliminary results demonstrate the potential advantage of the use of a simple EEG system for improved prediction of migraine attacks. Further study is required to evaluate the efficacy of the Brain Engagement Index in monitoring the migraine cycle and the possible effects of interventions.

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Section: Introductionsupporting

confidence: 53%

Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Shahaf¹,

Kuperman

Bloch

et al. 2018

Sensors

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“…Similarly to previous studies (10,19), but in contrast to others (12,13), no group differences were observed in MMN in response to novel stimuli, which may reflect that early sensory detection of unexpected change or stimuli, is preserved in migraine. Regarding P3a, previous studies reported no differences (13,20), while other studies showed an increased P3a in migraine compared to controls (12). Based on previous basic research studies indicating the presence of two P3a peaks (early and late) with different brain generators, we decided to divide the P3a in two.…”

Section: Discussionmentioning

confidence: 98%

“…Similarly, processing of target stimuli involves the MMN, P3b and RON, which are linked to contextual memory comparisons necessary for the behavioral response and the reorientation of attention back to the main task. Within the migraine literature, some studies have reported equal MMN amplitude (10,19) and similar P3a amplitude in patients as compared to controls (3,13,20). Furthermore, some studies have reported a reduced P3b amplitude in response to deviant or target stimuli (3,11,21,22), whereas others did not encounter group differences (19,23,24).…”

Section: Introductionmentioning

confidence: 99%

Neurophysiological correlates of abnormal auditory processing in episodic migraine during the interictal period

et al. 2020

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Background The characteristics of the hypersensitivity to auditory stimuli during the interictal period in episodic migraine are discussed. The combined use of event-related potentials, time-frequency power and phase-synchronization can provide relevant information about the time-course of sensory-attentional processing in migraine and its underlying mechanisms. Objective The aim of this nested case-control study was to examine these processes in young, female, episodic migraine patients interictally and compare them to controls using an active auditory oddball task. Method We recorded, using 20 channels, the electrophysiological brain activity of 21 women with episodic migraine without aura and 21 healthy matched controls without family history of migraine, during a novelty oddball paradigm. We collected sociodemographic and clinical data as well as scores related to disability, quality of life, anxiety and depression. We calculated behavioural measures including reaction times, hit rates and false alarms. Spectral power and phase-synchronization of oscillatory activity as well as event-related potentials were obtained for standard stimuli. For target and novel stimuli, event-related potentials were acquired. Results There were no significant differences at the behavioural level. In migraine patients, we found an increased phase-synchronization at the theta frequency range and a higher N1 response to standard trials. No differences were observed in spectral power. No evidence for a lack of habituation in any of the measures was seen between migraine patients and controls. The Reorienting Negativity was reduced in migraine patients as compared to controls on novel but not on target trials. Conclusion Our findings suggest that migraine patients process stimuli as more salient, seem to allocate more of their attentional resources to their surrounding environment, and have less available resources to reorient attention back to the main task.

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“…In contrast with high spatial resolution, the EEGrecorded electrical activity of the cerebral cortex, using extracranial electrodes, provides a high temporal resolution that enables the examination of brain dynamics on the millisecond scale. Previous EEG studies of migraine patients revealed prefrontal dysfunction with ineffective inhibitory capabilities (9), reduced P3a amplitude during the migraine-free period (10), and an occipital ''normalization'' pattern (similar to controls) occurring a few hours before migraine attacks (5,(11)(12)(13). Nevertheless, most studies have been based on a cross-sectional design, and intra-individual differences have not been described.…”

Section: Introductionmentioning

confidence: 99%

Exploring resting-state EEG complexity before migraine attacks

et al. 2017

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Objective Entropy-based approaches to understanding the temporal dynamics of complexity have revealed novel insights into various brain activities. Herein, electroencephalogram complexity before migraine attacks was examined using an inherent fuzzy entropy approach, allowing the development of an electroencephalogram-based classification model to recognize the difference between interictal and preictal phases. Methods Forty patients with migraine without aura and 40 age-matched normal control subjects were recruited, and the resting-state electroencephalogram signals of their prefrontal and occipital areas were prospectively collected. The migraine phases were defined based on the headache diary, and the preictal phase was defined as within 72 hours before a migraine attack. Results The electroencephalogram complexity of patients in the preictal phase, which resembled that of normal control subjects, was significantly higher than that of patients in the interictal phase in the prefrontal area (FDR-adjusted p < 0.05) but not in the occipital area. The measurement of test-retest reliability (n = 8) using the intra-class correlation coefficient was good with r1 = 0.73 ( p = 0.01). Furthermore, the classification model, support vector machine, showed the highest accuracy (76 ± 4%) for classifying interictal and preictal phases using the prefrontal electroencephalogram complexity. Conclusion Entropy-based analytical methods identified enhancement or "normalization" of frontal electroencephalogram complexity during the preictal phase compared with the interictal phase. This classification model, using this complexity feature, may have the potential to provide a preictal alert to migraine without aura patients.

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Reduced Frontal P3a Amplitude in Migraine Patients during the Pain-Free Period

Cited by 9 publications

References 61 publications

Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Neurophysiological correlates of abnormal auditory processing in episodic migraine during the interictal period

Exploring resting-state EEG complexity before migraine attacks

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