EEG classification by ICA source selection of Laplacian-filtered data

Carvalhaes, Claudio G.; Perreau-Guimaraes, Marcos; Grosenick, Logan; Suppes, Patrick

doi:10.1109/isbi.2009.5193224

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…The TMS artifact (or artifacts in dual-stimulus trials) was removed by eliminating EEG data from 5 ms before to 5 ms after the TMS pulse. Since we were interested in characterizing cortical phenomena circumscribed at motor cortex level, we applied a Laplacian filter to our EEG signal to reduce volume conduction (Nunez and Srinivasan, 2006; Carvalhaes et al, 2009). Scalp surface Laplacian was computed using the “CSD,” a MATLAB-based open source toolbox based on the spherical splines method (Kayser and Tenke, 2006a,b; Kayser, 2009).…”

Section: Methodsmentioning

confidence: 99%

Intracortical Inhibition and Surround Inhibition in the Motor Cortex: A TMS-EEG Study

et al. 2019

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Background Short-latency intracortical inhibition (SICI) and motor surround inhibition (mSI) are cortical phenomena that have been investigated with transcranial magnetic stimulation (TMS). mSI is believed to be necessary for the execution of fine finger movements, SICI may participate in mSI genesis, and however, the mechanisms underlying both mSI and SICI are not entirely clear. Objective We explored the cortical physiology of SICI and mSI in healthy subjects by TMS-evoked cortical potentials (TEPs). Methods: Single (sp) and paired-pulse (pp) TMS were delivered on the ADM muscle cortical hotspot while recording EEG and EMG. Three conditions were tested: spTMS and ppTMS at rest, and spTMS at the onset of an index finger movement. SICI and mSI were calculated on the ADM motor evoked potential (MEP) and two groups were defined based on the presence of mSI. Average TEPs were calculated for each condition and for five regions of interest. Results At movement onset we observed a widespread reduction of the inhibitory late component N100 suggesting cortical facilitation associated with motor performance. At motor cortex level, SICI and mSI are associated with similar modulation of TEPs consisting in a reduction of P30 and an increase of N45 amplitude. Conclusion Our findings suggest that SICI and mSI modulate cortical excitability with shared inhibitory mechanisms.

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Section: Methodsmentioning

confidence: 99%

Intracortical Inhibition and Surround Inhibition in the Motor Cortex: A TMS-EEG Study

et al. 2019

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“…Sphering involves first zero-centering the rows of the input matrix, followed by a linear transformation using the inverse of the principal square root of the covariance matrix. The outcome is a decorrelated data ensemble with a diagonal covariance matrix [10].…”

Section: B Preprocessing Stagementioning

confidence: 99%

Biomedical signal processing methods for neuromarketing: A comparative study

SABAN,

DAĞDEVİR

2023

ICAENS

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Neuromarketing involves the integration of neuropsychology into marketing research, focusing on analyzing consumer sensory-motor actions, including cognitive and emotional responses to marketing stimuli, using advanced technologies. It represents one of the latest strategies in marketing research and has the potential to shape the future of the field. Numerous studies have already been conducted in this domain to enhance research outcomes. Nevertheless, the literature indicates that there are still opportunities for further advancements and improvements. A literature review was conducted in this article to explore the availability of an openly accessible dataset widely utilized by researchers in the field of neuromarketing. We examined the signal preprocessing, feature selection, feature extraction, and classification methods employed in studies utilizing the dataset created by Yadava et al.

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“…The third experiment was previously described in Carvalhaes et al (2009) and Carvalhaes and Suppes (2011). Eleven participants (S1-S11) were randomly presented on every other trial either a visual "stop" sign, flashed on a 17-inch LED computer screen, or the sound of the English word "go", via computer speaker.…”

Section: Exp Iii: 2-class Imagery Taskmentioning

confidence: 99%

The Joint Use of the Tangential Electric Field and Surface Laplacian in EEG Classification

Carvalhaes¹,

Barros

Perreau-Guimaraes³

et al. 2013

Brain Topogr

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We investigate the joint use of the tangential electric field and the surface Laplacian derivation as a method to improve the classification of EEG signals. We considered five classification tasks to test the validity of such approach. In all five tasks, the joint use of the components of the tangential electric field and the surface Laplacian outperformed the scalar potential. The smallest effect occurred in the classification of a mental task, wherein the average classification rate was improved by 0.5 standard deviations. The largest effect was obtained in the classification of visual stimuli and corresponded to an improvement of 2.1 standard deviations.

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EEG classification by ICA source selection of Laplacian-filtered data

Cited by 7 publications

References 14 publications

Intracortical Inhibition and Surround Inhibition in the Motor Cortex: A TMS-EEG Study

Intracortical Inhibition and Surround Inhibition in the Motor Cortex: A TMS-EEG Study

Biomedical signal processing methods for neuromarketing: A comparative study

The Joint Use of the Tangential Electric Field and Surface Laplacian in EEG Classification

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