Depth Electrode Recordings Research Articles

Bipolar and Laplacian montages are suitable for high-gamma modulation language mapping with stereoelectroencephalography.

To determine the optimal montage and vocalization conditions for high-gamma language mapping using stereoelectroencephalography. We studied 12 epilepsy patients who underwent invasive monitoring with depth electrodes and measurement of auditory-naming related high-gamma modulations. We determined the effects of electrode montage and vocalization conditions of the response on the high-gamma (60-140 Hz) amplitudes. Compared to common average reference montage, bipolar and Laplacian montages effectively reduced the degree of auditory naming-related signal deflections in the white matter during the stimulus and response phases (mixed model estimate: -21.2 to -85.4%; p < 0.001), while maintaining those at the cortical level (-4.4 to +7.8%; p = 0.614 to 0.085). They also reduced signal deflections outside the brain parenchyma during the response phase (-90.6 to -91.2%; p < 0.001). Covert responses reduced signal deflections outside the brain parenchyma during the response phase (-17.0%; p = 0.010). On depth electrode recording, bipolar and Laplacian montages are suitable for measuring auditory naming-related high-gamma modulations in gray matter. The covert response may highlight the gray matter activity. This study helps establish the practical guidelines for high-gamma language mapping using stereoelectroencephalography.

Electrocorticographic Activation Patterns of Electroencephalographic Microstates.

Electroencephalography (EEG) microstates are short successive periods of stable scalp field potentials representing spontaneous activation of brain resting-state networks. EEG microstates are assumed to mediate local activity patterns. To test this hypothesis, we correlated momentary global EEG microstate dynamics with the local temporo-spectral evolution of electrocorticography (ECoG) and stereotactic EEG (SEEG) depth electrode recordings. We hypothesized that these correlations involve the gamma band. We also hypothesized that the anatomical locations of these correlations would converge with those of previous studies using either combined functional magnetic resonance imaging (fMRI)-EEG or EEG source localization. We analyzed resting-state data (5min) of simultaneous noninvasive scalp EEG and invasive ECoG and SEEG recordings of two participants. Data were recorded during the presurgical evaluation of pharmacoresistant epilepsy using subdural and intracranial electrodes. After standard preprocessing, we fitted a set of normative microstate template maps to the scalp EEG data. Using covariance mapping with EEG microstate timelines and ECoG/SEEG temporo-spectral evolutions as inputs, we identified systematic changes in the activation of ECoG/SEEG local field potentials in different frequency bands (theta, alpha, beta, and high-gamma) based on the presence of particular microstate classes. We found significant covariation of ECoG/SEEG spectral amplitudes with microstate timelines in all four frequency bands (p = 0.001, permutation test). The covariance patterns of the ECoG/SEEG electrodes during the different microstates of both participants were similar. To our knowledge, this is the first study to demonstrate distinct activation/deactivation patterns of frequency-domain ECoG local field potentials associated with simultaneous EEG microstates.

Correlated activity in globus pallidus and thalamus during voluntary reaching movement in three children with primary dystonia

Classical models of the physiology of dystonia suggest that involuntary muscle contractions are caused by inappropriately low activity in Globus Pallidus internus (GPi) that fails to adequately inhibit thalamic inputs to cortex. We test this prediction in three children with primary dystonia undergoing depth electrode recording in basal ganglia and thalamus during selection of targets for deep brain stimulation (DBS) implantation. We compare muscle activity to the power in the spectrogram of the local field potential, as well as to counts of identified spikes in GPi, subthalamic nucleus (STN), and the Ventral oralis (VoaVop) and Ventral Anterior (VA) subnuclei of the thalamus, while subjects are at rest or attempting to make active voluntary arm or leg reaching movements. In all three subjects, both spectrogram power and spike activity in GPi, STN, VoaVop, and VA are significantly positively correlated with movement. In particular, GPi and STN both increase activity during attempted movement. These results contradict the classical rate model of the physiology of dystonia, and support more recent models that propose abnormalities in the detailed pattern of activity rather than the overall lumped activity of pallidum and thalamus.

Recording of pig neuronal activity in the comparative context of the awake human brain

Gyriform mammals display neurophysiological and neural network activity that other species exhibit only in rudimentary or dissimilar form. However, neural recordings from large mammals such as the pig can be anatomically hindered and pharmacologically suppressed by anesthetics. This curtails comparative inferences. To mitigate these limitations, we set out to modify electrocorticography, intracerebral depth and intracortical recording methods to study the anesthetized pig. In the process, we found that common forms of infused anesthesia such as pentobarbital or midazolam can be neurophysiologic suppressants acting in dose-independent fashion relative to anesthetic dose or brain concentration. Further, we corroborated that standard laboratory conditions may impose electrical interference with specific neural signals. We thus aimed to safeguard neural network integrity and recording fidelity by developing surgical, anesthesia and noise reduction methods and by working inside a newly designed Faraday cage, and evaluated this from the point of view of neurophysiological power spectral density and coherence analyses. We also utilized novel silicon carbide electrodes to minimize mechanical disruption of single-neuron activity. These methods allowed for the preservation of native neurophysiological activity for several hours. Pig electrocorticography recordings were essentially indistinguishable from awake human recordings except for the small segment of electrical activity associated with vision in conscious persons. In addition, single-neuron and paired-pulse stimulation recordings were feasible simultaneously with electrocorticography and depth electrode recordings. The spontaneous and stimulus-elicited neuronal activities thus surveyed can be recorded with a degree of precision similar to that achievable in rodent or any other animal studies and prove as informative as unperturbed human electrocorticography.

WE-134. Invasive identification of the epileptogenic zone: Differential diagnostic yield of subdural vs. depth electrode recordings

WE-134. Invasive identification of the epileptogenic zone: Differential diagnostic yield of subdural vs. depth electrode recordings

Interictal spikes with and without high-frequency oscillation have different single-neuron correlates.

Interictal epileptiform discharges (IEDs) are a widely used biomarker in patients with epilepsy but lack specificity. It has been proposed that there are truly epileptogenic and less pathological or even protective IEDs. Recent studies suggest that highly pathological IEDs are characterized by high-frequency oscillations (HFOs). Here, we aimed to dissect these 'HFO-IEDs' at the single-neuron level, hypothesizing that the underlying mechanisms are distinct from 'non-HFO-IEDs'. Analysing hybrid depth electrode recordings from patients with temporal lobe epilepsy, we found that single-unit firing rates were higher in HFO- than in non-HFO-IEDs. HFO-IEDs were characterized by a pronounced pre-peak increase in firing, which coincided with the preferential occurrence of HFOs, whereas in non-HFO-IEDs, there was only a mild pre-peak increase followed by a post-peak suppression. Comparing each unit's firing during HFO-IEDs to its baseline activity, we found many neurons with a significant increase during the HFO component or ascending part, but almost none with a decrease. No such imbalance was observed during non-HFO-IEDs. Finally, comparing each unit's firing directly between HFO- and non-HFO-IEDs, we found that most cells had higher rates during HFO-IEDs and, moreover, identified a distinct subset of neurons with a significant preference for this IED subtype. In summary, our study reveals that HFO- and non-HFO-IEDs have different single-unit correlates. In HFO-IEDs, many neurons are moderately activated, and some participate selectively, suggesting that both types of increased firing contribute to highly pathological IEDs.

Input-Independent Homeostasis of Developing Thalamocortical Activity.

The isocortex of all mammals studied to date shows a progressive increase in the amount and continuity of background activity during early development. In humans the transition from a discontinuous (mostly silent, intermittently bursting) cortex to one that is continuously active is complete soon after birth and is a critical prognostic indicator. In the visual cortex of rodents this switch from discontinuous to continuous background activity occurs during the 2 d before eye-opening, driven by activity changes in relay thalamus. The factors that regulate the timing of continuity development, which enables mature visual processing, are unknown. Here, we test the role of the retina, the primary input, in the development of continuous spontaneous activity in the visual cortex of mice using depth electrode recordings from enucleated mice in vivo. Bilateral enucleation at postnatal day (P)6, one week before the onset of continuous activity, acutely silences cortex, yet firing rates and early oscillations return to normal within 2 d and show a normal developmental trajectory through P12. Enucleated animals showed differences in silent period duration and continuity on P13 that resolved on P16, and an increase in low frequency power that did not. Our results show that the timing of cortical activity development is not determined by the major driving input to the system. Rather, even during a period of rapid increase in firing rates and continuity, neural activity in the visual cortex is under homeostatic control that is largely robust to the loss of the primary input.

Effects of depth electrode montage and single-pulse electrical stimulation sites on neuronal responses and effective connectivity

ObjectiveTo determine the optimal depth electrode montages for the assessment of effective connectivity based on single-pulse electrical stimulation (SPES). To determine the effect of SPES locations on the extent of resulting neuronal propagations. MethodsWe studied 14 epilepsy patients who underwent invasive monitoring with depth electrodes and measurement of cortico-cortical evoked potentials (CCEPs) and cortico-cortical spectral responses (CCSRs). We determined the effects of electrode montage and stimulus sites on the CCEP/CCSR amplitudes. ResultsBipolar and Laplacian montages effectively reduced the degree of SPES-related signal deflections at extra-cortical levels, including outside the brain, while maintaining those at the cortical level. SPES of structures more proximal to the deep white matter, compared to the cortical surface, elicited greater CCEPs and CCSRs. ConclusionsOn depth electrode recording, bipolar and Laplacian montages are suitable for measurement of near-field CCEPs and CCSRs. SPES of the white matter axons may induce neuronal propagations to extensive regions of the cerebral cortex. SignificanceThis study helps to establish the practical guidelines on the diagnostic use of CCEPs/CCSRs.

Electrochemical Evaluation of a Multi-Site Clinical Depth Recording Electrode for Monitoring Cerebral Tissue Oxygen.

The intracranial measurement of local cerebral tissue oxygen levels—PbtO2—has become a useful tool for the critical care unit to investigate severe trauma and ischemia injury in patients. Our preliminary work in animal models supports the hypothesis that multi-site depth electrode recording of PbtO2 may give surgeons and critical care providers needed information about brain viability and the capacity for better recovery. Here, we present a surface morphology characterization and an electrochemical evaluation of the analytical properties toward oxygen detection of an FDA-approved, commercially available, clinical grade depth recording electrode comprising 12 Pt recording contacts. We found that the surface of the recording sites is composed of a thin film of smooth Pt and that the electrochemical behavior evaluated by cyclic voltammetry in acidic and neutral electrolyte is typical of polycrystalline Pt surface. The smoothness of the Pt surface was further corroborated by determination of the electrochemical active surface, confirming a roughness factor of 0.9. At an optimal working potential of −0.6 V vs. Ag/AgCl, the sensor displayed suitable values of sensitivity and limit of detection for in vivo PbtO2 measurements. Based on the reported catalytical properties of Pt toward the electroreduction reaction of O2, we propose that these probes could be repurposed for multisite monitoring of PbtO2 in vivo in the human brain.

Postictal Modulation of Breathing by the Central Amygdala (CeA) Can Induce Sudden Unexpected Death in Epilepsy (SUDEP).

RationaleSUDEP is the most common cause of death in refractory epilepsy patients. The MORTality in Epilepsy Monitoring Unit Study (MORTEMUS) reported monitored SUDEP cases, and fatal apnea preceded terminal asystole in all patients. The mechanisms involved in seizure‐induced apnea are not known, but evidence suggests the amygdala may be a critical node in the pathway by which seizures spread from the forebrain to the brainstem respiratory network. Depth electrode recordings from the amygdala of epilepsy patients showed that prolonged apneas occur when seizures spread into the CeA. Apneas also occur when the CeA is electrically stimulated in awake patients. Here we examined the role of the amygdala in peri‐ictal apnea and its involvement in SUDEP in two epilepsy models: Scn1aR1407X/+ (Dravet Syndrome; DS) mice and DBA/1 mice.MethodsBaseline breathing, hypercapnic ventilatory response (HCVR) and hypoxic ventilatory response (HVR) were assessed using whole‐body plethysmography in DS (n=7) and DBA/1 (n=8) mice before and after lesioning the CeA. Under surgical anesthesia (1–2% isoflurane), electrolytic lesions were induced in the CeA, after which mice were instrumented with EEG, ECG and EMG electrodes. After 5 days of recovery, mice were tethered to a preamplifier and placed in a plethysmography chamber. Seizures were induced in DS mice (n=22) by increasing body temperature 0.5°C per minute using a heat lamp and in DBA/1 mice (n=13) with loud white noise.In a separate cohort of DS mice (n=4), the CeA was stimulated under light anesthesia (0.5–1% isoflurane) by injecting current with stereotactically guided monopolar electrodes while measuring breathing using head‐out plethysmography. Electrode placement was verified post hoc using histology.In a third cohort of DS mice (n=12), CeA lesions or sham lesions were made and mice were video‐monitored for 100 days. A subset of these mice had spontaneous seizures and SUDEP.ResultsCeA lesions did not affect baseline breathing, HCVR or HVR, and did not prevent seizures in DS or DBA/1 mice. Apnea and death occurred in control (sham‐lesioned) DS mice following heat‐induced seizures in 54.4% of cases (n=11). In contrast, only 9.1% of DS mice with CeA lesions showed respiratory arrest and death after heat‐induced seizures (n=11; p=0.016).Stimulation of the rostral CeA produced apnea that was dependent on the frequency and amplitude of stimulation, without causing seizures. At 50 Hz and 500 μA, apnea was induced for 1–4 minutes without causing death (n=4) or reversal of anesthetic immobility, suggesting lack of an arousal response.Kaplan‐Meier survival curves showed that mice with CeA lesions had higher survival (64.5%) than sham lesions (28.3%) (p=0.015).ConclusionOur data suggest that the CeA can induce apnea but, is not directly involved in baseline respiratory rhythm generation or the ventilatory response to hypercapnia or hypoxia. CeA lesions reduce the risk of apnea during seizures. Therefore, the CeA is a key component of the neural pathway through which seizures spread from the forebrain to respiratory centers in the brainstem to elicit ventilatory arrest after seizures.Support or Funding InformationNIH/NINDS U01‐NS0904143 SUDEP Research Alliance

Absence of an early hippocampal encoding signal after medial temporal lesions: No consequence for the spacing effect.

Immediately repeated meaningful pictures in a continuous recognition task induce a positive frontal potential at about 200-300 ms, which appears to emanate from the medial temporal lobe (MTL) centered on the hippocampus, as concluded from inverse solutions, coherence measurements, and depth electrode recordings in humans. In this study, we tested patients with unilateral MTL lesions due to stroke to verify the provenance of this signal and its association with the spacing effect (SE)-the improved learning of material encountered in spaced rather than massed presentation. We found that unilateral left or right MTL lesions abolished the early frontal MTL-mediated signal but not the spacing effect. We conclude that the SE does not depend on MTL integrity. We suggest that the early frontal signal at 200-300 ms after immediate picture repetition may serve as a direct biomarker of MTL integrity that may be useful in the early stages of diseases like Alzheimer's.

Normalized Transfer Entropy as a Tool to Identify Multisource Functional Epileptic Networks.

Epilepsy is a major health problem worldwide. A significant proportion of patients develop medication-refractory epilepsy (MRE); they are of ten evaluated for possible surgery where the focus of epileptogenic zones (EZ) are removed from the brain. Hence, prior to epilepsy surgery, insertion of depth electrodes into the brain is necessary to identify the EZs. These depth electrodes have multiple contacts that monitor the neuronal activity in multiple locations within the brain along each electrode trajectory. In the present study, we show that normalized transfer entropy measurements demonstrate functional connectivity across multiple sites within the brain of an MRE patient who did not demonstrate a clear EZ using conventional EEG criteria. Interestingly, linear measures of functional connectivity were not predictive of such an epileptic network. Our results suggest that routine evaluation of both linear and non-linear functional connectivity including normalized transfer entropy from depth electrode recordings may be useful to identify multisource epileptogenic networks in MRE patients. Identification of networks that contribute to epilepsy in such patients could potentially allow the clinician to avoid resective surgery and adopt alternate therapies such as vagal nerve stimulation or other emergent alternatives.

S127. Computer aided evaluation of intracerebral depth electrode recordings by automatic seizure detection

Introduction Preoperative evaluation of patients with medically intractable epilepsies requires accurate localization of the epileptogenic zone. Intracerebral depth electrodes are used to asses regions of interest and to enclose the resection zone during presurgical planning. Often a high number of needles is needed to accurately define the resection volume. Manual evaluation of these prolonged recordings including a large number of channels which is highly time consuming. To raise efficiency we developed a computer algorithm for automatic detection of epileptic seizures in depth electrode recordings. Primary goal was to detect seizures with high sensitivity without the need to set patient specific parameters. Methods The automatic seizure detection algorithm for depth electrode data was based on an existing seizure detection algorithm for surface EEG. Evaluation of the frequency and amplitude range was extended to allow detection of ictal activity of up to 25 Hz and amplitudes of up to 1 mV. To reduce the number of false detections a method to recognize loose contacts was implemented. For clinical validation, recordings of 11 patients that underwent depth electrode investigation in the Academic Centre of Epileptology, Kempenhaeghe were utilized. Recordings were evaluated manually by clinical neurophysiologists and seizures were annotated. For 10 patients the first 24 h of their depth electrode recording were analyzed, yielding in total 23 seizures detected for five of the patients studied. For one patient the complete recording was analyzed with a duration of 138 h, yielding 36 seizures. Manual seizure annotations were compared to computer detections for assessment of sensitivity and false detection rate. Results The automatic seizure detection algorithm found 84% of all seizures on average. All or more than 80% of the seizures were detected in the first 24 h of 10 patients. Analysis of the complete patient recording showed suppressed seizure onset activity of less than 2 s duration followed by paroxysmal fast activity. In this patient 14 out of the 36 seizures that evolved into a rhythmic ictal pattern were detected. The average false detection rate was 15 false detections in 24 h. Validation showed that most of the false positives either point to interictal activity or to background alpha activity. Conclusion We proposed a computer aided workflow for evaluation of depth electrode recordings. Our automatic seizure detection algorithm was able to detect either all or more than 7 seizures of a patient which allows deduction of important medical findings. The low false detection rate facilitates fast review of data. Our proposed approach showed that automatic evaluation of seizure activity in depth electrode recordings is feasible and will raise the overall efficiency of diagnostic.

F08. Automatic spike detection in intracerebral depth electrode recordings

Introduction Intracranial recordings, like intracerebral depth electrode recordings are considered to be the best choice for preoperative invasive evaluation when standard electro-clinical examinations are not conclusive. These recordings reflect a vast amount of interictal epileptic discharges, the so called spikes, which are in general abundant compared to seizure activity. Manually reviewing these recordings to find the spatial origin of seizures and spikes is still state of the art, which is a very exhausting task due to the large number of signals recorded. In order to enable a time-efficient evaluation of such recordings, we developed a spike detection algorithm which performs automatic detection, spatial clustering and smart visualization of spike clusters. Methods The automatic spike detection algorithm for depth electrode recordings is based on our existing spike detection algorithm for surface EEG. The spike detection algorithm assesses morphological and topographical potential field features. Both feature groups had to be adapted for depth electrode recordings. In these recordings spikes are shorter in duration, often have higher amplitude and the properties of the potential field compared to surface EEG are very different. Due to the morphological similarity of individual waves of the posterior alpha rhythm and spikes, the detection within such rhythmic periods is suppressed. In order to speed up the review, we developed a spatial clustering and a smart visualization of spike clusters. In the so-called overlay plot the signals of all individual spikes of each cluster are displayed one above the other in one figure, allowing for quickly distinguishing between true spikes and artifacts. In order to assess the sensitivity and precision of the developed algorithms, 1400 spikes in 3 datasets from different patients recorded at the Academic Center of Epileptology, Kempenhaeghe/MUMC were annotated by an experienced biomedical assistant. Results The automatic spike detection algorithm detected 54% of all spikes on average. The overall precision was 39%. Sensitivity values reach from 18% to 81%. However, also for the patient with 18% sensitivity the algorithm was able to detect several spikes on all those electrodes where also the human reviewer detected them. For one patient a very low precision of 6% was measured. This small precision value came from repetitive artifacts which are very similar to spikes and are even difficult to distinguish for human experts. Removing the most evident artifact clusters by using the overlay plot, the precision increases from 6% to 30%. Doing the same for all patients an average precision of 68% is achieved. Conclusion Our automatic method was able to detect spikes with a high sensitivity on average. Moreover, our algorithm always detected spikes on all the electrodes where the expert also identified them allowing for a profound diagnosis. The smart combination of detection, clustering and visualization potentially enables a more time-efficient review.

Multiplexing of Theta and Alpha Rhythms in the Amygdala-Hippocampal Circuit Supports Pattern Separation of Emotional Information

How do we remember emotional events? While emotion often leads to vivid recollection, the precision of emotional memories can be degraded, especially when discriminating among overlapping experiences in memory (i.e. pattern separation). Communication between the amygdala and the hippocampus has been proposed to support emotional memory but the exact neural mechanisms are not well understood. Here, we used intracranial depth electrode recordings in pre-surgical epilepsy patients to show that successful pattern separation of emotional stimuli is associated with theta band (3-7 Hz)-coordinated bidirectional interactions between the amygdala and the hippocampus. In contrast, we show that overgeneralization is associated with alpha band (7-13 Hz)-coordinated unidirectional influence from the amygdala to the hippocampus. These findings imply that alpha band synchrony may trigger overgeneralization of similar emotional events via amygdala-hippocampal directional coupling, which suggests a target for the treatment of psychiatric conditions such as post-traumatic stress disorder, where aversive memories are often overgeneralized.

Intraoperative definition of bottom-of-sulcus dysplasia using intraoperative ultrasound and single depth electrode recording – A technical note

Bottom of sulcus dysplasias (BOSDs) are localized focal cortical dysplasias (FCDs) centred on the bottom of a sulcus that can be highly epileptogenic, but difficult to delineate intraoperatively. We report on a patient with refractory epilepsy due to a BOSD, successfully resected with the aid of a multimodal surgical approach using neuronavigation based on MRI and PET, intraoperative ultrasound (iUS) and electrocorticography (ECoG) using depth electrodes. The lesion could be visualized on iUS showing an increase in echogenicity at the grey-white matter junction. IUS demonstrated the position of the depth electrode in relation to the lesion. Depth electrode recording showed almost continuous spiking. Thus, intraoperative imaging and electrophysiology helped confirm the exact location of the lesion. Post-resection ultrasound demonstrated the extent of the resection and depth electrode recording did not show any epileptiform activity. Thus, both techniques helped assess completeness of resection. The patient has been seizure free since surgery. Using a multimodal approach including iUS and ECoG is a helpful adjunct in surgery for BOSD and may improve seizure outcome.

Human hippocampal theta power indicates movement onset and distance travelled

Theta frequency oscillations in the 6- to 10-Hz range dominate the rodent hippocampal local field potential during translational movement, suggesting that theta encodes self-motion. Increases in theta power have also been identified in the human hippocampus during both real and virtual movement but appear as transient bursts in distinct high- and low-frequency bands, and it is not yet clear how these bursts relate to the sustained oscillation observed in rodents. Here, we examine depth electrode recordings from the temporal lobe of 13 presurgical epilepsy patients performing a self-paced spatial memory task in a virtual environment. In contrast to previous studies, we focus on movement-onset periods that incorporate both initial acceleration and an immediately preceding stationary interval associated with prominent theta oscillations in the rodent hippocampal formation. We demonstrate that movement-onset periods are associated with a significant increase in both low (2-5 Hz)- and high (6-9 Hz)-frequency theta power in the human hippocampus. Similar increases in low- and high-frequency theta power are seen across lateral temporal lobe recording sites and persist throughout the remainder of movement in both regions. In addition, we show that movement-related theta power is greater both before and during longer paths, directly implicating human hippocampal theta in the encoding of translational movement. These findings strengthen the connection between studies of theta-band activity in rodents and humans and offer additional insight into the neural mechanisms of spatial navigation.

Automatic detection of periods of slow wave sleep based on intracranial depth electrode recordings

BackgroundAn automated process for sleep staging based on intracranial EEG data alone is needed to facilitate research into the neural processes occurring during slow wave sleep (SWS). Current manual methods for sleep scoring require a full polysomnography (PSG) set-up, including electrooculography (EOG), electromyography (EMG), and scalp electroencephalography (EEG). This set-up can be technically difficult to place in the presence of intracranial EEG electrodes. There is thus a need for a method for sleep staging based on intracranial recordings alone. New methodHere we show a reliable automated method for the detection of periods of SWS solely based on intracranial EEG recordings. The method utilizes the ratio of spectral power in delta, theta, and spindle frequencies relative to alpha and beta frequencies to classify 30-s segments as SWS or not. ResultsWe evaluated this new method by comparing its performance against visually scored patients (n=9), in which we also recorded EOG and EMG simultaneously. Our method had a mean positive predictive value of 64% across all nights. Also, an ROC analysis of the performance of our algorithm compared to manually labeled nights revealed a mean average area under the curve of 0.91 across all nights. Comparison with existing methodOur method had an average kappa score of 0.72 when compared to visual sleep scoring by an independent blinded sleep scorer. ConclusionThis shows that this simple method is capable of differentiating between SWS and non-SWS epochs reliably based solely on intracranial EEG recordings.

Global and local complexity of intracranial EEG decreases during NREM sleep.

Key to understanding the neuronal basis of consciousness is the characterization of the neural signatures of changes in level of consciousness during sleep. Here we analysed three measures of dynamical complexity on spontaneous depth electrode recordings from 10 epilepsy patients during wakeful rest (WR) and different stages of sleep: (i) Lempel–Ziv complexity, which is derived from how compressible the data are; (ii) amplitude coalition entropy, which measures the variability over time of the set of channels active above a threshold; (iii) synchrony coalition entropy, which measures the variability over time of the set of synchronous channels. When computed across sets of channels that are broadly distributed across multiple brain regions, all three measures decreased substantially in all participants during early-night non-rapid eye movement (NREM) sleep. This decrease was partially reversed during late-night NREM sleep, while the measures scored similar to WR during rapid eye movement (REM) sleep. This global pattern was in almost all cases mirrored at the local level by groups of channels located in a single region. In testing for differences between regions, we found elevated signal complexity in the frontal lobe. These differences could not be attributed solely to changes in spectral power between conditions. Our results provide further evidence that the level of consciousness correlates with neural dynamical complexity.

When is temporal lobe epilepsy not temporal lobe epilepsy?

This scientific commentary refers to ‘Temporal plus epilepsy is a major determinant of temporal lobe surgery failures’, by Barba et al. . (doi:10.1093/brain/awv372). Stereotactic electroencephalography (SEEG) originated in France in the 1950s. Bancaud and Talairach, at St. Anne’s Hospital in Paris, introduced this approach to define the 3D extent of dysfunctional brain tissue surrounding intraparenchymal brain tumours, and more specifically, to define epileptogenic brain tissue in patients with pharmacoresistant epileptic seizures (Bancaud et al. , 1975). The approach required a hypothesis that would enable the placement of multiple, mostly unilateral, depth electrodes to sample a reasonably limited number of regions of interest. The results then guided a tailored surgical resection. This technique was adapted by Crandall et al. (1963) at UCLA for patients with suspected mesial temporal lobe epilepsy. Crandall, however, used a standardized, bilaterally symmetrical, depth electrode approach, designed to sample those structures known to be primarily involved in generating limbic seizures. Because French law did not allow Bancaud and Talairach to leave their electrodes in place for more than a few hours, their analyses were based on interictal activity, as well as electrically and chemically induced seizures. Crandall, therefore, was the first to perform chronic depth electrode recording, over days and weeks, in order to capture spontaneous ictal events. Because investigators at UCLA had recently developed an EEG telemetry device for NASA to record from chimpanzees orbiting in space, Crandall was also able to use this new technology to establish EEG telemetry for long-term monitoring of epileptic seizures. Data were used to determine that the epileptogenic region was contained within the area of a standardized anterior temporal resection (Falconer, 1953), which was then performed routinely. Two schools of invasive presurgical evaluation for epilepsy surgery then evolved: the French school, which performed classical SEEG, using multiple electrodes …