共查询到20条相似文献，搜索用时 426 毫秒
1.
Nobusuke Kimura Yukitoshi Takahashi Hideo Shigematsu Katsumi Imai Hiroko Ikeda Hideyuki Ootani Rumiko Takayama Yukiko Mogami Noriko Kimura Koichi Baba Kazumi Matsuda Takayasu Tottori Naotaka Usui Satohiko Kondou Yushi Inoue 《Brain & development》2019,41(1):77-84
Objective
The purpose of this study was to identify the risk factors of cognitive impairment in pediatric epilepsy patients with focal cortical dysplasia (FCD).Methods
77 patients with histopathologically confirmed FCD were studied. The statistical relationship between cognition levels and clinical factors at presurgical evaluation was analyzed. Cognitive function was evaluated by development quotient or intelligence quotient (DQ-IQ).Results
Ages at seizure onset were younger than 15?years (mean?±?SD; 5.0?±?4.2?years). Mean disease duration was 14.5?±?8.5?years. Mean age at pre-surgical DQ-IQ evaluation was 34.8?±?10.7?years. Mean DQ-IQ was 60.5?±?20.5, and 41 of 77 (53.2%) patients had mental retardation (DQ-IQ?<?70). Younger seizure onset and seizure clustering were significantly associated with lower DQ-IQ (p?<?0.001). A multiple regression study identified higher seizure frequency pattern, a history of epileptic spasm and status epilepticus as aggravating factors of DQ-IQ decline (R2?=?0.63, p?<?0.001). On the other hand, the risk was decreased in patients with habitual focal aware seizure and transient seizure-free periods up to 6?months in the course of epilepsy. FCD location (FCD site, extent of radiological lesion and laterality) and histopathology of FCD did not affect DQ-IQ.Conclusions
Our study suggests that seizure characteristics including higher seizure frequency pattern, a history of epileptic spasm, status epilepticus, seizure clustering and early onset of seizure are risk factors of cognitive impairment in FCD patients. 相似文献2.
Ana Catarina Franco Olympia Kremmyda Jan Rémi Soheyl Noachtar 《Clinical neurophysiology》2018,129(5):952-955
Objective
Positive interictal epileptiform discharges (IEDs) are rarely recorded from surface EEG, due to the orientation of the cortex and its neurons. Their frequency and significance in adults is unknown, and has only been studied as a phenomenon of the neonatal period and childhood. We aimed to evaluate the frequency and characteristics of positive epileptiform discharges in a large cohort of patients.Methods
We retrospectively reviewed 24,178 reports from 18,060 patients of non-invasively recorded EEGs for various indications.Results
Positive IEDs were recorded in six patients (eight EEGs – 0.033%), all of which had epileptic seizures. Brain surgery was the most common reason for recording positive and not negative IEDs. Cortical malformation was the most probable etiology in the remaining patients.Conclusions
Positive IEDs seem to be of lower frequency in adults than in children and are highly associated with epilepsy. They appear more often, but not exclusively, in adult patients with skull defects.Significance
This is the first adult series reported. Positive IEDs must be identified for the correct diagnosis and clearly differentiated from normal variants. 相似文献3.
Tomoyuki Fumuro Masao Matsuhashi Riki Matsumoto Kiyohide Usami Akihiro Shimotake Takeharu Kunieda Takayuki Kikuchi Kazumichi Yoshida Ryosuke Takahashi Susumu Miyamoto Akio Ikeda 《Clinical neurophysiology》2018,129(9):1884-1890
Objective
Neuro-feedback (NFB) training by the self-regulation of slow potentials (SPs) <0.5?Hz recorded from the vertex scalp has been applied for seizure suppression in patients with epilepsy. However, SP is highly susceptible to artifact contamination, such as the galvanic skin response (GSR). This study aimed to evaluate the correlation between SPs recorded from the scalp and intracranial electroencephalography (EEG) by event-related coherence analysis.Methods
The scalp and subdural SPs were simultaneously recorded during NFB training by the DC-EEG machine while undergoing invasive recordings before epilepsy surgery in 10 patients with refractory partial epilepsy. The SPs at the vertex electrode were used as a reference for coherence analysis.Results
The coherence of SPs negatively correlated with the distance between the subdural and scalp electrodes. A significant negative correlation was noted between the linear subdural–scalp electrode distance and the coherence value (r?=????0.916, p?<?0.001).Conclusion
Scalp-recorded SPs from the vertex area primarily reflect the cortical activity of high lateral convexity.Significance
Our results strongly suggest that SPs in NFB recorded from the vertex scalp electrode is derived from the cortices of high lateral convexity but not from the artifacts, such as GSR. 相似文献4.
Naoum P. Issa Shasha Wu Sandra Rose Vernon L. Towle Peter C. Warnke James X. Tao 《Clinical neurophysiology》2018,129(9):1796-1803
Objective
Mesial temporal lobe epilepsy (mTLE) is the most common type of focal epilepsy, but often lacks scalp EEG correlates. We ask if hippocampal epileptiform discharges that are characteristic of mTLE are associated with small sharp spikes (SSS) recorded on scalp EEG. SSS are considered benign waveforms, so are not currently used as markers of epilepsy.Methods
To determine if there is a relationship between SSS and hippocampal discharges, simultaneous scalp and hippocampal depth electrode EEGs were recorded from 27 patients being evaluated for possible mTLE. Scalp EEG waveforms were assessed at the time of hippocampal discharges identified on intracranial hippocampal depth electrodes.Results
15 of 27 patients had SSS on scalp EEG that were time locked to hippocampal epileptiform discharges measured intracranially. These hippocampal spikes tended to have overlying high frequency oscillations and to co-localize with a seizure onset zone, suggesting that they were pathological discharges.Conclusions
There is a tight coupling between a subset of pathological hippocampal discharges and SSS.Significance
SSS can be scalp EEG markers of mTLE rather than normal EEG variants. 相似文献5.
Chaturbhuj Rathore Pandurang R. Wattamwar Neeraj Baheti Malcolm Jeyaraj Gopal K. Dash Sankara P. Sarma Kurupath Radhakrishnan 《Clinical neurophysiology》2018,129(9):1907-1912
Objective
To evaluate the prognostic value of postoperative EEGs to estimate post anterior temporal lobectomy (ATL) seizure outcome.Methods
We studied postoperative EEGs in 325 consecutive patients who had minimum five years of post-ATL followup. Interictal epileptiform discharges (IEDs) present only during sleep were classified as sleep IEDs. We defined favorable final-year outcome as no seizures during the final one year and favorable absolute-postoperative outcome as no seizures during the entire postoperative period.Results
At mean follow-up of 7.3?±?1.8?years, 281 (86.5%) patients had favorable final-year outcome while 161 (49.5%) had favorable absolute-postoperative outcome. IEDs on three months and one year EEG were associated with unfavorable outcomes while IEDs at 7th day had no association with outcomes. Sleep record increased the yield of IEDs by 30% at each time-point without compromising predictive value. EEG at one year predicted the risk of seizure recurrence on drug withdrawal.Conclusion
While EEG at three months and at one-year after ATL predicted seizure outcome, EEG at 7th day was not helpful. Sleep record increases the sensitivity of postoperative EEG without compromising specificity.Significance
Both awake and sleep EEG provide useful information in postoperative period following ATL. 相似文献6.
E.D. Goldstein N. Ertekin-Taner A. Stephens M.M. Carrasquillo B. Boeve W.O. Tatum A.M. Feyissa 《Neurologia i neurochirurgia polska》2018,52(6):690-694
Aim of the study
The aim of this study is to evaluate standard scalp EEG findings in patients with posterior cortical atrophy (PCA), an atypical variant of Alzheimer's disease (AD).Clinical rationale
PCA is a topographically selective variant of AD. Patients with typical AD have an increased likelihood of seizures, which may negatively impact overall functional performance and cognition. It is currently unknown what the typical EEG findings are for patients with PCA.Materials and methods
A retrospective chart review was performed on patients identified either with autopsy confirmed (n = 13) or clinically (n = 126) as PCA.Results
139 patients were included though only 23 (16.5%) had undergone EEG recording. The EEG was normal in 6 (26%), while an abnormal EEG was present in 17 (74%). Interictal epileptic discharges (IEDs) were found in 2 of the 23 patients (9%).Conclusions
This study of limited sample size suggests that there may be an increased predilection to find IEDs within PCA when compared to typical AD. Larger cohorts are required to determine frequency of abnormal EEGs in PCA, roles of AEDs in therapy, and in the selection of preferred AED.Clinical implications
Patients with PCA would potentially benefit from an EEG for assessment of IEDs which may provide the clinician with a therapeutic opportunity. 相似文献7.
Satsuki Watanabe François Dubeau Natalja Zazubovits Jean Gotman 《Clinical neurophysiology》2017,128(6):986-991
Objective
It has been reported that interictal epileptic discharges (IEDs) recorded in temporal regions on scalp EEG are unlikely to originate from mesial temporal structures. However, EEG-fMRI sometimes show mesial temporal activation. We hypothesized that BOLD activation in the temporal neocortex is weaker than in the mesial structures, reflecting the fact that propagated activity has less metabolic demand than the original discharge.Methods
Twelve patients with epilepsy who have BOLD response in mesial temporal structures were selected from our EEG-fMRI database. We searched the temporal lobe ipsilateral to IEDs and checked whether there is positive BOLD response in the neocortex.Results
All IED types showed a BOLD response in the temporal neocortex ipsilateral to the mesial temporal BOLD response. T-values were higher in mesial temporal structures than in neocortex in 13/16 cases.Conclusions
Hemodynamic changes were observed in the mesial temporal lobe at the time of IEDs recorded from the temporal region on the scalp. The finding of smaller BOLD changes in the ipsilateral neocortex is in agreement with our hypothesis.Significance
Our study indicates that scalp-recorded temporal lobe spikes are likely to result from mesial temporal spikes propagating neuronally to the neocortex. 相似文献8.
Different seizure-onset patterns in mesiotemporal lobe epilepsy have a distinct interictal signature
Birgit Frauscher Nicolás von Ellenrieder François Dubeau Jean Gotman 《Clinical neurophysiology》2017,128(7):1282-1289
Objective
Experimental research demonstrated that distinct underlying mechanisms go along with different seizure-onset patterns on EEG. These different mechanisms may reflect different tissue abnormalities which, we hypothesize, could also be reflected in morphological differences in the interictal epileptic and background EEG activity.Methods
We searched our database of intracranial EEG recordings for mesiotemporal lobe epilepsy patients with either predominant low-voltage fast activity (LVF) or periodic spiking (PS). Interictal epileptiform discharges (IEDs) were characterized by the spike/polyspike amplitude, the amplitude of the post-spike slow wave, and the associated low-frequency and high-frequency power increases. The EEG background was assessed with the root mean square amplitude, the distribution of the instantaneous amplitude relative to the root mean square value, and the power spectral density.Results
We identified 18 patients with predominant LVF or PS. IEDs in PS were 1.7-times sharper as determined by the high-frequency power increase than IEDs in LVF. In contrast, IEDs in LVF had a 1.2-times higher post-spike slow wave amplitude, and a 1.5-times larger low-frequency power content than IEDs in PS. There was no difference in rates of IEDs/HFOs, spike amplitude, HFO co-occurrence, and EEG background.Conclusions
We demonstrated an association between the morphology of IEDs and the type of the seizure-onset pattern in mesiotemporal lobe epilepsy.Significance
Our findings therefore suggest that IED morphology is a marker of the underlying mechanisms of seizure generation. 相似文献9.
C. Cuello-Oderiz N. von Ellenrieder R. Sankhe A. Olivier J. Hall F. Dubeau J. Gotman 《Clinical neurophysiology》2018,129(6):1311-1319
Objectives
There are different neurophysiological markers of the Epileptogenic Zone (EZ), but their sensitivity and specificity for the EZ is not known in Focal Cortical Dysplasia (FCD) patients.Methods
We studied patients with FCD who underwent stereoelectroencephalography (SEEG) and surgery. We marked in the SEEG: (a) typical and atypical interictal epileptiform patterns, (b) ictal onset patterns, and (c) rates of ripples (80–250?Hz) and fast ripples (FRs) (>250?Hz). High frequency oscillations were marked automatically during one hour of deep sleep. Surgical outcome was defined as good (Engel I) or poor (Engel II–IV). We computed the sensitivity and, as a measure of specificity, the false positive rate to identify the EZ, and compared them across the different neurophysiological markers.Results
We studied 21 patients, 19 with FCD II. Ictal and typical interictal pattern were the markers with highest sensitivity, while the atypical interictal pattern had the lowest. We found no significant difference in specificity among markers. However, there is a tendency that FRs had the lowest false positive rate.Conclusion
The typical interictal pattern has the highest sensitivity. The clinical use of FRs is limited by their low sensitivity.Significance
We suggest to analyze the typical interictal pattern first. FRs should be analyzed in a second step. If, for instance, a focus with FRs and no typical interictal pattern is found, this area could be considered for resection. 相似文献10.
Rodolfo Abreu Alberto Leal Fernando Lopes da Silva Patrícia Figueiredo 《Clinical neurophysiology》2018,129(3):618-635
Objective
We hypothesize that the hypersynchronization associated with epileptic activity is best described by EEG synchronization measures, and propose to use these as predictors of epilepsy-related BOLD fluctuations.Methods
We computed the phase synchronization index (PSI) and global field synchronization (GFS), within two frequency bands, a broadband (1–45?Hz) and a narrower band focused on the presence of epileptic activity (3–10?Hz). The associated epileptic networks were compared with those obtained using conventional unitary regressors and two power-weighted metrics (total power and root mean square frequency), on nine simultaneous EEG-fMRI datasets from four epilepsy patients, exhibiting inter-ictal epileptiform discharges (IEDs).Results
The average PSI within 3–10?Hz achieved the best performance across several measures reflecting reliability in all datasets. The results were cross-validated through electrical source imaging of the IEDs. The applicability of PSI when no IEDs are recorded on the EEG was evaluated on three additional patients, yielding partially plausible networks in all cases.Conclusions
Epileptic networks can be mapped based on the EEG PSI metric within an IED-specific frequency band, performing better than commonly used EEG metrics.Significance
This is the first study to investigate EEG synchronization measures as potential predictors of epilepsy-related BOLD fluctuations. 相似文献11.
Alice D. Lam Douglas Maus Sahar F. Zafar Andrew J. Cole Sydney S. Cash 《Clinical neurophysiology》2017,128(9):1647-1655
Objective
In mesial temporal lobe (mTL) epilepsy, seizure onset can precede the appearance of a scalp EEG ictal pattern by many seconds. The ability to identify this early, occult mTL seizure activity could improve lateralization and localization of mTL seizures on scalp EEG.Methods
Using scalp EEG spectral features and machine learning approaches on a dataset of combined scalp EEG and foramen ovale electrode recordings in patients with mTL epilepsy, we developed an algorithm, SCOPE-mTL, to detect and lateralize early, occult mTL seizure activity, prior to the appearance of a scalp EEG ictal pattern.Results
Using SCOPE-mTL, 73% of seizures with occult mTL onset were identified as such, and no seizures that lacked an occult mTL onset were identified as having one. Predicted mTL seizure onset times were highly correlated with actual mTL seizure onset times (r = 0.69). 50% of seizures with early mTL onset were lateralizable prior to scalp ictal onset, with 94% accuracy.Conclusions
SCOPE-mTL can identify and lateralize mTL seizures prior to scalp EEG ictal onset, with high sensitivity, specificity, and accuracy.Significance
Quantitative analysis of scalp EEG can provide important information about mTL seizures, even in the absence of a visible scalp EEG ictal correlate. 相似文献12.
Stephan Meesters Pauly Ossenblok Albert Colon Louis Wagner Olaf Schijns Paul Boon Luc Florack Andrea Fuster 《Clinical neurophysiology》2018,129(6):1276-1290
Objective
The interictal epileptic discharges (IEDs) occurring in stereotactic EEG (SEEG) recordings are in general abundant compared to ictal discharges, but difficult to interpret due to complex underlying network interactions. A framework is developed to model these network interactions.Methods
To identify the synchronized neuronal activity underlying the IEDs, the variation in correlation over time of the SEEG signals is related to the occurrence of IEDs using the general linear model. The interdependency is assessed of the brain areas that reflect highly synchronized neural activity by applying independent component analysis, followed by cluster analysis of the spatial distributions of the independent components. The spatiotemporal interactions of the spike clusters reveal the leading or lagging of brain areas.Results
The analysis framework was evaluated for five successfully operated patients, showing that the spike cluster that was related to the MRI-visible brain lesions coincided with the seizure onset zone. The additional value of the framework was demonstrated for two more patients, who were MRI-negative and for whom surgery was not successful.Conclusions
A network approach is promising in case of complex epilepsies.Significance
Analysis of IEDs is considered a valuable addition to routine review of SEEG recordings, with the potential to increase the success rate of epilepsy surgery. 相似文献13.
Midori Nakajima Simeon Wong Elysa Widjaja Shiro Baba Tohru Okanishi Lynne Takada Yosuke Sato Hiroki Iwata Maya Sogabe Hikaru Morooka Robyn Whitney Yuki Ueda Tomoshiro Ito Kazuyori Yagyu Ayako Ochi O. Carter Snead James T. Rutka James M. Drake Hiroshi Otsubo 《Clinical neurophysiology》2018,129(6):1182-1191
Objective
To investigate whether advanced dynamic statistical parametric mapping (AdSPM) using magnetoencephalography (MEG) can better localize focal cortical dysplasia at bottom of sulcus (FCDB).Methods
We analyzed 15 children with diagnosis of FCDB in surgical specimen and 3?T MRI by using MEG. Using AdSPM, we analyzed a ±50?ms epoch relative to each single moving dipole (SMD) and applied summation technique to estimate the source activity. The most active area in AdSPM was defined as the location of AdSPM spike source. We compared spatial congruence between MRI-visible FCDB and (1) dipole cluster in SMD method; and (2) AdSPM spike source.Results
AdSPM localized FCDB in 12 (80%) of 15 children whereas dipole cluster localized six (40%). AdSPM spike source was concordant within seizure onset zone in nine (82%) of 11 children with intracranial video EEG. Eleven children with resective surgery achieved seizure freedom with follow-up period of 1.9?±?1.5?years. Ten (91%) of them had an AdSPM spike source in the resection area.Conclusion
AdSPM can noninvasively and neurophysiologically localize epileptogenic FCDB, whether it overlaps with the dipole cluster or not.Significance
This is the first study to localize epileptogenic FCDB using MEG. 相似文献14.
Satoru Ikemoto Shin-ichiro Hamano Susumu Yokota Reiko Koichihara Yuko Hirata Ryuki Matsuura 《Clinical neurophysiology》2018,129(9):1920-1925
Objective
To determine whether the characteristics of scalp-recorded high frequency oscillations, especially ripples, can predict the “atypical forms” of benign epilepsy of childhood with centrotemporal spikes (ABECTS), in BECTS.Methods
Seven patients with ABECTS and eighteen patients with BECTS underwent electroencephalography (EEG) in the secondary bilateral synchrony (SBS) and non-SBS periods for ABECTS patients. SBS period is that when more than 50% of the interictal epileptiform discharges (IEDs) are bilaterally synchronized. We determined the IED-ripple co-occurrence rate, performed time frequency analysis, and calculated the asymmetry index (AI).Results
The IEDs-ripple co-occurrence rate increased in the SBS compared to the non-SBS period. Time frequency analysis showed higher high-frequency activity rate and peak power in the SBS than in the non-SBS period. The AI was lower in ABECTS than BECTS, both in the non-SBS and SBS periods.Conclusions
Ripples were enhanced in the SBS period of ABECTS, and bilaterally synchronized both in the non-SBS and SBS periods, whereas ripples in BECTS were localized unilaterally.Significance
Bilaterally synchronized ripples in the non-SBS period of ABECTS may distinguish ABECTS from BECTS in the non-SBS period of IEDs, and may be helpful for early detection of progressive neurophysiological regression leading to early intervention. 相似文献15.
Danilo Bernardo Hiroki Nariai Shaun A. Hussain Raman Sankar Noriko Salamon Darcy A. Krueger Mustafa Sahin Hope Northrup E. Martina Bebin Joyce Y. Wu 《Clinical neurophysiology》2018,129(7):1458-1466
Objectives
We aim to establish that interictal fast ripples (FR; 250–500?Hz) are detectable on scalp EEG, and to investigate their association to epilepsy.Methods
Scalp EEG recordings of a subset of children with tuberous sclerosis complex (TSC)-associated epilepsy from two large multicenter observational TSC studies were analyzed and compared to control children without epilepsy or any other brain-based diagnoses. FR were identified both by human visual review and compared with semi-automated review utilizing a deep learning-based FR detector.Results
Seven out of 7 children with TSC-associated epilepsy had scalp FR compared to 0 out of 4 children in the control group (p?=?0.003). The automatic detector has a sensitivity of 98% and false positive rate with average of 11.2 false positives per minute.Conclusions
Non-invasive detection of interictal scalp FR was feasible, by both visual and semi-automatic detection. Interictal scalp FR occurred exclusively in children with TSC-associated epilepsy and were absent in controls without epilepsy. The proposed detector achieves high sensitivity of FR detection; however, expert review of the results to reduce false positives is advised.Significance
Interictal FR are detectable on scalp EEG and may potentially serve as a biomarker of epilepsy in children with TSC. 相似文献16.
Marleen C. Tjepkema-Cloostermans Rafael C.V. de Carvalho Michel J.A.M. van Putten 《Clinical neurophysiology》2018,129(10):2191-2196
Objective
Visual assessment of the EEG still outperforms current computer algorithms in detecting epileptiform discharges. Deep learning is a promising novel approach, being able to learn from large datasets. Here, we show pilot results of detecting epileptiform discharges using deep neural networks.Methods
We selected 50 EEGs from focal epilepsy patients. All epileptiform discharges (n?=?1815) were annotated by an experienced neurophysiologist and extracted as 2?s epochs. In addition, 50 normal EEGs were divided into 2?s epochs. All epochs were divided into a training (n?=?41,381) and test (n?=?8775) set. We implemented several combinations of convolutional and recurrent neural networks, providing the probability for the presence of epileptiform discharges. The network with the largest area under the ROC curve (AUC) in the test set was validated on seven independent EEGs with focal epileptiform discharges and twelve normal EEGs.Results
The final network had an AUC of 0.94 for the test set. Validation allowed detection of epileptiform discharges with 47.4% sensitivity and 98.0% specificity (FPR: 0.6/min). For the normal EEGs in the validation set, the specificity was 99.9% (FPR: 0.03/min).Conclusions
Deep neural networks can accurately detect epileptiform discharges from scalp EEG recordings.Significance
Deep learning may result in a fundamental shift in clinical EEG analysis. 相似文献17.
Svjetlana Miocinovic Andrew Miller Nicole C. Swann Jill L. Ostrem Philip A. Starr 《Clinical neurophysiology》2018,129(2):368-376
Objective
To investigate cortical activity using scalp EEG in patients with isolated dystonia treated with chronic deep brain stimulation (DBS), on and off stimulation.Methods
We analyzed 64-channel scalp EEG in 12 isolated dystonia patients treated with chronic DBS (7 generalized, 5 cervical/segmental; 7 globus pallidus (GP), 5 subthalamic nucleus (STN)), and 20 healthy age-matched controls. Recordings during rest and movement task, and clinical motor scores, were collected with DBS-on and during a 90-min DBS washout.Results
Resting state alpha power in the dominant (or contralateral to more dystonic side) motor cortex channel during DBS was comparable to healthy controls, but it increased when DBS was stopped. Resting state and movement-related alpha coherence between bilateral motor cortex channels was increased off DBS.Conclusions
Chronic DBS reduces exaggerated alpha oscillations and interhemispheric alpha coherence in the motor cortex of patients with isolated dystonia.Significance
These findings complement related studies in Parkinson’s disease and support the view that network desynchronization is a prominent mechanism of DBS in movement disorders. 相似文献18.
Niraj K. Sharma Carlos Pedreira Maria Centeno Umair J. Chaudhary Tim Wehner Lucas G.S. França Tinonkorn Yadee Teresa Murta Marco Leite Sjoerd B. Vos Sebastien Ourselin Beate Diehl Louis Lemieux 《Clinical neurophysiology》2017,128(7):1246-1254
Objective
To validate the application of an automated neuronal spike classification algorithm, Wave_clus (WC), on interictal epileptiform discharges (IED) obtained from human intracranial EEG (icEEG) data.Method
Five 10-min segments of icEEG recorded in 5 patients were used. WC and three expert EEG reviewers independently classified one hundred IED events into IED classes or non-IEDs. First, we determined whether WC-human agreement variability falls within inter-reviewer agreement variability by calculating the variation of information for each classifier pair and quantifying the overlap between all WC-reviewer and all reviewer-reviewer pairs. Second, we compared WC and EEG reviewers’ spike identification and individual spike class labels visually and quantitatively.Results
The overlap between all WC-human pairs and all human pairs was >80% for 3/5 patients and >58% for the other 2 patients demonstrating WC falling within inter-human variation. The average sensitivity of spike marking for WC was 91% and >87% for all three EEG reviewers. Finally, there was a strong visual and quantitative similarity between WC and EEG reviewers.Conclusions
WC performance is indistinguishable to that of EEG reviewers’ suggesting it could be a valid clinical tool for the assessment of IEDs.Significance
WC can be used to provide quantitative analysis of epileptic spikes. 相似文献19.
Sina Khanmohammadi Osvaldo Laurido-Soto Lawrence N. Eisenman Terrance T. Kummer ShiNung Ching 《Clinical neurophysiology》2018,129(11):2296-2305
Objective
We devise a data-driven framework to assess the level of consciousness in etiologically heterogeneous comatose patients using intrinsic dynamical changes of resting-state Electroencephalogram (EEG) signals.Methods
EEG signals were collected from 54 comatose patients (GCS??8) and 20 control patients (GCS??8). We analyzed the EEG signals using a new technique, termed Intrinsic Network Reactivity Index (INRI), that aims to assess the overall lability of brain dynamics without the use of extrinsic stimulation. The proposed technique uses three sigma EEG events as a trigger for ensuing changes to the directional derivative of signals across the EEG montage.Results
The INRI had a positive relationship with GCS and was significantly different between various levels of consciousness. In comparison, classical band-limited power analysis did not show any specific patterns correlated to GCS.Conclusions
These findings suggest that reaching low variance EEG activation patterns becomes progressively harder as the level of consciousness of patients deteriorate, and provide a quantitative index based on passive measurements that characterize this change.Significance
Our results emphasize the role of intrinsic brain dynamics in assessing the level of consciousness in coma patients and the possibility of employing simple electrophysiological measures to recognize the severity of disorders of consciousness (DOC). 相似文献20.
Brian Nils Lundstrom Christian Meisel Jamie Van Gompel Matt Stead Greg Worrell 《Clinical neurophysiology》2018,129(5):909-919