Literature DB >> 16109290

Visually evoked phase synchronization changes of alpha rhythm in migraine: correlations with clinical features.

Marina de Tommaso1, Daniele Marinazzo, Marco Guido, Giuseppe Libro, Sebastiano Stramaglia, Luigi Nitti, Gianluca Lattanzi, Leonardo Angelini, Mario Pellicoro.   

Abstract

OBJECTIVE: This study aimed to compute phase synchronization of the alpha band from a multichannel electroencephalogram (EEG) recorded under repetitive flash stimulation from migraine patients without aura. This allowed examination of ongoing EEG activity during visual stimulation in the pain-free phase of migraine.
METHODS: Flash stimuli at frequencies of 3, 6, 9, 12, 15, 18, 21, 24, and 27 Hz were delivered to 15 migraine patients without aura and 15 controls, with the EEG recorded from 18 scalp electrodes, referred to the linked earlobes. The EEG signals were filtered in the alpha (7.5-13 Hz) band. For all stimulus frequencies that we evaluated, the phase synchronization index was based on the Hilbert transformation.
RESULTS: Phase synchronization separated the patients and controls for the 9, 24 and 27 Hz stimulus frequencies; hyper phase synchronization was observed in patients, whereas healthy subjects were characterized by a reduced phase synchronization. These differences were found in all regions of the scalp.
CONCLUSIONS: During migraine, the brain synchronizes to the idling rhythm of the visual areas under certain photic stimulations; in normal subjects however, brain regions involved in the processing of sensory information demonstrate desynchronized activity. Hypersynchronization of the alpha rhythm may suggest a state of cortical hypoexcitability during the interictal phase of migraine. SIGNIFICANCE: The employment of non-linear EEG analysis may identify subtle functional changes in the migraine brain.

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Year:  2005        PMID: 16109290     DOI: 10.1016/j.ijpsycho.2005.02.002

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  6 in total

1.  Analysis of repetitive flash stimulation frequencies and record periods to detect migraine using artificial neural network.

Authors:  Selahaddin Batuhan Akben; Abdulhamit Subasi; Deniz Tuncel
Journal:  J Med Syst       Date:  2010-07-13       Impact factor: 4.460

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

Authors:  Koichi Shibata; Kiyomi Yamane; Yoshiko Nishimura; Hiromi Kondo; Kuniaki Otuka
Journal:  Doc Ophthalmol       Date:  2011-07-19       Impact factor: 2.379

3.  Analysis of EEG signals under flash stimulation for migraine and epileptic patients.

Authors:  Selahaddin Batuhan Akben; Abdülhamit Subasi; Deniz Tuncel
Journal:  J Med Syst       Date:  2009-10-06       Impact factor: 4.460

Review 4.  Altered processing of sensory stimuli in patients with migraine.

Authors:  Marina de Tommaso; Anna Ambrosini; Filippo Brighina; Gianluca Coppola; Armando Perrotta; Francesco Pierelli; Giorgio Sandrini; Massimiliano Valeriani; Daniele Marinazzo; Sebastiano Stramaglia; Jean Schoenen
Journal:  Nat Rev Neurol       Date:  2014-02-18       Impact factor: 42.937

5.  Improving the quality of a collective signal in a consumer EEG headset.

Authors:  Alejandro Morán; Miguel C Soriano
Journal:  PLoS One       Date:  2018-05-24       Impact factor: 3.240

6.  Current understanding of cortical structure and function in migraine.

Authors:  Else A Tolner; Shih-Pin Chen; Katharina Eikermann-Haerter
Journal:  Cephalalgia       Date:  2019-03-28       Impact factor: 6.292

  6 in total

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