P339 Long-term electrocorticographic monitoring and pathological high-frequency oscillations in tumor-related epilepsy
Objective Removal of brain tissue generating pathological high-frequency oscillations (pHFOs) has been related to better seizure outcome than resection of seizure onset zone. However, there is still a lack of understanding what oscillations are to be considered pathological. Methods A female patient (age 53) with 10 year duration of temporal lobe tumor-related epilepsy was admitted to Polenov’s Neurosurgery Institute for tumor resection. The patient underwent a two-staged surgery with subdural implantation of a grid electrode (4 × 5) over the temporal lobe to identify the epileptogenic zone (EZ). During the second stage wideband intraoperative electrocorticography (iECoG) was recorded (up to 500 Hz, sampling frequency 2000 Hz, Mitsar-EEG 202 amplifier). Results Electrocorticographic monitoring data were subjected to visual analysis in traditional frequency range (0.5–70 Hz). Six of 20 electrodes were marked as EZ electrodes. The distance between tumor margin and EZ electrodes reached 1–2.5 cm. Subpial resection of this zone was arranged. During the surgery iECoG data in 0.5–70 Hz frequency band were uninformative, while in 80–500 Hz range bursts of fast ripples (250–500 Hz, 100 μV, extended up to 3 s) were recorded over the marked EZ electrodes. The tumor and EZ were completely resected. Discussion Observed data demonstrate that HFOs coincide with EZ marked during long-term monitoring. The patient is seizure-free for 5 months at the moment, though a more prolonged follow-up is required. Conclusion Wideband iECoG recordings might give us more essential information in case of tumor-related epilepsy. As is shown, fast ripples may be a valid marker of EZ. Significance Pathological HFOs show promise for optimising epilepsy surgery in tumor-related epilepsy.
Background: Sleep disorders have emerged as potential cancer risk factors.
Objective: This review discusses the relationships between sleep, obesity, and breathing disorders with concomitant risks of developing cancer.
Results: Sleep disorders result in an abnormal expression of clock genes, decreased immunity, and melatonin release disruption. Therefore, these disorders may contribute to cancer development. Moreover, in sleep breathing disorder, which are frequently experienced by the obese persons, the sufferer experiences intermittent hypoxia that may stimulate cancer cell proliferation.
Discussion: During short- or long- duration sleep, sleep-wake rhythm disruption may occur. Insomnia and obstructive sleep apnea increase cancer risks. In short sleepers, an increased risk of stomach cancer, esophageal squamous cell cancer, and breast cancer were observed. Among long sleepers (>9 hours), the risk of some hematologic malignancies is elevated.
Conclusion: Several factors including insomnia, circadian disruption, obesity, and intermittent hypoxia in obstructive sleep apnea are contributing risk factors for increased risk of several types of cancers. However, further studies are needed to determine the more significant of these risk factors and their interactions.
The article is dedicated to neural basis of verb processing. Three verb groups were analysed: abstract, tool action and hand action verbs. We found that imageability of a verb might influence both the time of its processing and the amount of cerebral activation it is related to.
Special issue of Epilepsia dedicated to the 31stInternational Epilepsy Congress Istanbul, Turkey 5th–9th September, 2015
Increasing evidence suggests that neuronal communication is a defining property of functionally specialized brain networks and that it is implemented through synchronization between population activities of distinct brain areas. The detection of long-range coupling in electroencephalography (EEG) and magnetoencephalography (MEG) data using conventional metrics (such as coherence or phase-locking value) is by definition contaminated by spatial leakage. Methods such as imaginary coherence, phase-lag index or orthogonalized amplitude correlations tackle spatial leakage by ignoring zero-phase interactions. Although useful, these metrics will by construction lead to false negatives in cases where true zero-phase coupling exists in the data and will underestimate interactions with phase lags in the vicinity of zero. Yet, empirically observed neuronal synchrony in invasive recordings indicates that it is not uncommon to find zero or close-to-zero phase lag between the activity profiles of coupled neuronal assemblies. Here, we introduce a novel method that allows us to mitigate the undesired spatial leakage effects and detect zero and near zero phase interactions. To this end, we propose a projection operation that operates on sensor-space cross-spectrum and suppresses the spatial leakage contribution but retains the true zero-phase interaction component. We then solve the network estimation task as a source estimation problem defined in the product space of interacting source topographies. We show how this framework provides reliable interaction detection for all phase-lag values and we thus refer to the method as Phase Shift Invariant Imaging of Coherent Sources (PSIICOS). Realistic simulations demonstrate that PSIICOS has better detector characteristics than existing interaction metrics. Finally, we illustrate the performance of PSIICOS by applying it to real MEG dataset recorded during a standard mental rotation task. Taken together, using analytical derivations, data simulations and real brain data, this study presents a novel source-space MEG/EEG connectivity method that overcomes previous limitations and for the first time allows for the estimation of true zero-phase coupling via non-invasive electrophysiological recordings.
Manifestations of attentional lapses in auditory evoked potential
The Abstract book contains the abstracts of the posters presentations of the participants of the Methodological school: Methods of data processing in EEg and MEG, Moscow, 16-30th of April, 2013. The School was devoted to the theoretical and practical aspects of the contemporary methods of the dynamic mapping of brain activity by analysis of multichannel MEG and EEG.
The Abstract book contains the abstracts of the posters presentations of the participants of the Methodological school: Methods of data processing in EEG and MEG, Moscow, 16-30th of April, 2013. The School was devoted to the theoretical and practical aspects of the contemporary methods of the dynamic mapping of brain activity by analysis of multichannel MEG and EEG.
Materials of the all-Russian scientific-practical conference with international participation
Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.
Given many developing economies depend on primary commodities, the fluctuations of commodity prices may imply significant effects for the wellbeing of children. To investigate, this paper examines the relationship between child mortality and commodity price movements as reflected by country-specific commodity terms-of-trade. Employing a panel of 69 low and lower-middle income countries over the period 1970-2010, we show that commodity terms-of-trade volatility increases child mortality in highly commodity-dependent importers suggesting a type of ‘scarce’ resource curse. Strikingly however, good institutions appear able to mitigate the negative impact of volatility. The paper concludes by highlighting this tripartite relationship between child mortality, volatility and good institutions and posits that an effective approach to improving child wellbeing in low to lower-middle income countries will combine hedging, import diversification and improvement of institutional quality.