Quantitative methods in electroencephalography to access therapeutic response

Diniz, Roseane Costa; Fontenele, Andrea Martins Melo; Carmo, Luiza Helena Araújo do; Ribeiro, Aurea Celeste da Costa; Sales, Fábio Henrique Silva; Monteiro, Sally Cristina Moutinho; Sousa, Ana Karoline Ferreira de Castro

doi:10.1016/j.biopha.2016.02.046

Cited by 2 publications

(1 citation statement)

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“… 5 Despite the high spatial resolution and test–retest reliability of functional magnetic resonance imaging, quantitative electroencephalography (EEG) has become a useful tool in clinical settings, due to its technical practicality and excellent temporal resolution. 6 EEG recordings reflect the volume-conducted summation of neural oscillations and their synchronization, representing interneuronal communication among brain regions. 7 , 8 …”

Section: Introductionmentioning

confidence: 99%

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain

Goudman

Laton

Brouns

et al. 2017

JPR

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The goal of this study was to capture the electroencephalographic signature of experimentally induced pain and pain-modulating mechanisms after painful peripheral electrical stimulation to determine one or a selected group of electrodes at a specific time point with a specific frequency range. In the first experiment, ten healthy participants were exposed to stimulation of the right median nerve while registering brain activity using 32-channel electroencephalography. Electrical stimulations were organized in four blocks of 20 stimuli with four intensities – 100%, 120%, 140%, and 160% – of the electrical pain threshold. In the second experiment, 15 healthy participants received electrical stimulation on the dominant median nerve before and during the application of a second painful stimulus. Raw data were converted into the time–frequency domain by applying a continuous wavelet transform. Separated domain information was extracted by calculating Parafac models. The results demonstrated that it is possible to capture a reproducible cortical neural response after painful electrical stimulation, more specifically at 250 milliseconds poststimulus, at the midline electrodes Cz and FCz with predominant δ-oscillations. The signature of the top-down nociceptive inhibitory mechanisms is δ-activity at 235 ms poststimulus at the prefrontal electrodes. This study presents a methodology to overcome the a priori determination of the regions of interest to analyze the brain response after painful electrical stimulation.

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Section: Introductionmentioning

confidence: 99%

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain

Goudman

Laton

Brouns

et al. 2017

JPR

View full text Add to dashboard Cite

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Electroencephalogram monitoring during anesthesia and critical care: a guide for the clinician

Manohara,

Ferrari,

Greenblatt

et al. 2024

J Clin Monit Comput

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Quantitative methods in electroencephalography to access therapeutic response

Cited by 2 publications

References 14 publications

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain

Electroencephalogram monitoring during anesthesia and critical care: a guide for the clinician

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Quantitative methods in electroencephalography to access therapeutic response

Cited by 2 publications

References 14 publications

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time&ndash;frequency&ndash;channel domain

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time&ndash;frequency&ndash;channel domain

Electroencephalogram monitoring during anesthesia and critical care: a guide for the clinician

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Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain

Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain