Multichannel matching pursuit validation and clustering—A simulation and empirical study

Lelic, Dina; Gratkowski, Maciej; Hennings, Kristian; Drewes, Asbjørn Mohr

doi:10.1016/j.jneumeth.2010.12.021

Cited by 14 publications

(13 citation statements)

References 20 publications

(22 reference statements)

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“…However, various inverse modeling algorithms and signal decomposition procedures have overcome this limitation to some extent and ongoing research in this field holds promise for further improvements of the methods Lelic et al, 2011). Moreover, although multichannel EEG, cerebral EPs, and inverse modeling offers a noninvasive approach to study brain activity, it must not be overlooked that the position of the calculated dipolar source does not represent the accurate position but more the "center of gravity" of brain activity .…”

Section: Single Photon Emission Computed Tomography and Positron Emismentioning

confidence: 99%

Human Experimental Pain Models for Assessing the Therapeutic Efficacy of Analgesic Drugs

et al. 2012

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Section: Single Photon Emission Computed Tomography and Positron Emismentioning

confidence: 99%

Human Experimental Pain Models for Assessing the Therapeutic Efficacy of Analgesic Drugs

et al. 2012

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“…The brain source network analysis has been described in detail elsewhere (Lelic et al, 2012b), but briefly: (i) EP data were decomposed by multichannel matching pursuit (MMP) into components well defined in time and frequency (Durka et al, 2005). Then, similar MMP components in time-frequency for each subject (six datasets, three baselines and three treatments) were clustered together by an in-house developed clustering method (Lelic et al, 2011). MMP decomposition and clustering were done in MATLAB (version 8.4.0; The Mathworks Inc., Natick, MA, USA).…”

Section: Ep Analysismentioning

confidence: 99%

Venlafaxine and oxycodone effects on human spinal and supraspinal pain processing: a randomized cross‐over trial

Lelic

Fischer

Olesen

et al. 2016

Eur J of Neuroscience

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Severe pain is often treated with opioids. Antidepressants that inhibit serotonin and norepinephrine reuptake (SNRI) have also shown a pain relieving effect, but for both SNRI and opioids, the specific mode of action in humans remains vague. This study investigated how oxycodone and venlafaxine affect spinal and supraspinal pain processing. Twenty volunteers were included in this randomized cross-over study comparing 5-day treatment with venlafaxine, oxycodone and placebo. As a proxy of the spinal pain transmission, the nociceptive withdrawal reflex (NWR) to electrical stimulation on the sole of the foot was recorded at the tibialis anterior muscle before and after 5 days of treatment. For the supraspinal activity, 61-channel electroencephalogram evoked potentials (EPs) to the electrical stimulations were simultaneously recorded. Areas under curve (AUCs) of the EMG signals were analyzed. Latencies and AUCs were computed for the major EP peaks and brain source analysis was done. The NWR was decreased in venlafaxine arm (P = 0.02), but the EP parameters did not change. Oxycodone increased the AUC of the EP response (P = 0.04). Oxycodone also shifted the cingulate activity anteriorly in the mid-cingulate-operculum network (P < 0.01), and the cingulate activity was increased while the operculum activity was decreased (P = 0.02). Venlafaxine exerts its effects on the modulation of spinal nociceptive transmission, which may reflect changes in balance between descending inhibition and descending facilitation. Oxycodone, on the other hand, exerts its effects at the cortical level. This study sheds light on how opioids and SNRI drugs modify the human central nervous system and where their effects dominate.

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“…Sieluzycki et al [13] discussed this issue and concluded that the comparison of atoms across conditions and subjects was still a complex open issue. So far, the issue has been addressed by assessing statistical differences between classes or clustering similar atoms [27,28,33]. However, we believe that extracting the same atoms for different conditions and then only classifying the difference in how well each sweep is represented by the specific atom is superior to previous approaches.…”

Section: Discussionmentioning

confidence: 99%

Multivariate Analysis of Single-Sweep Evoked Brain Potentials for Pharmaco-Electroencephalography

Graversen¹,

Olesen²,

Staahl³

et al. 2015

Neuropsychobiology

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Background and Aims: Current findings on altered evoked potentials (EPs) caused by morphine are based on common alterations for a group of subjects after drug administration. However, this ignores the analysis of individual responses, which may explain the clinical differences in efficacy. Therefore, we explored the individual responses to morphine in terms of the altered single-sweep characteristics in a placebo-controlled crossover study. To account for multifactorial mechanisms, several characteristics were assessed simultaneously by multivariate pattern analysis (MVPA). Methods: EPs were recorded from 62 channels and obtained before and after morphine and placebo administration during repeated electrical stimulations of the oesophagus in 12 healthy males. Additionally, the pain detection threshold was recorded to reflect the subjective analgesic effect in each subject. The characteristics of the sweeps were extracted by a multivariate matching pursuit algorithm with Gabor atoms implemented with a variable amplitude and constant phase across the sweeps. The single-sweep amplitudes were used as input to an MVPA algorithm to discriminate individual responses. The accuracy of the MVPA for each individual subject was used for correlation analysis of the analgesic effect. Results: The mean classification accuracy when discriminating pre- and posttreatment morphine responses was 72% (p = 0.01). The individual classification accuracy was positively correlated to the analgesic effect of morphine (p = 0.03). Furthermore, the 2 posttreatment responses were classified and validated by the classification of the 2 pretreatment responses (p = 0.001). Conclusions: The alterations in the single-sweep EPs after morphine reflect the analgesic effect. The MVPA approach is a novel methodology for monitoring the individual efficacy of analgesics.

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Multichannel matching pursuit validation and clustering—A simulation and empirical study

Cited by 14 publications

References 20 publications

Human Experimental Pain Models for Assessing the Therapeutic Efficacy of Analgesic Drugs

Human Experimental Pain Models for Assessing the Therapeutic Efficacy of Analgesic Drugs

Venlafaxine and oxycodone effects on human spinal and supraspinal pain processing: a randomized cross‐over trial

Multivariate Analysis of Single-Sweep Evoked Brain Potentials for Pharmaco-Electroencephalography

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