共查询到20条相似文献，搜索用时 125 毫秒
1.
Golnoush Alamian Ana-Sofía Hincapié Annalisa Pascarella Thomas Thiery Etienne Combrisson Anne-Lise Saive Véronique Martel Dmitrii Althukov Frédéric Haesebaert Karim Jerbi 《Clinical neurophysiology》2017,128(9):1719-1736
Objective
Neuroimaging studies provide evidence of disturbed resting-state brain networks in Schizophrenia (SZ). However, untangling the neuronal mechanisms that subserve these baseline alterations requires measurement of their electrophysiological underpinnings. This systematic review specifically investigates the contributions of resting-state Magnetoencephalography (MEG) in elucidating abnormal neural organization in SZ patients.Method
A systematic literature review of resting-state MEG studies in SZ was conducted. This literature is discussed in relation to findings from resting-state fMRI and EEG, as well as to task-based MEG research in SZ population. Importantly, methodological limitations are considered and recommendations to overcome current limitations are proposed.Results
Resting-state MEG literature in SZ points towards altered local and long-range oscillatory network dynamics in various frequency bands. Critical methodological challenges with respect to experiment design, and data collection and analysis need to be taken into consideration.Conclusion
Spontaneous MEG data show that local and global neural organization is altered in SZ patients. MEG is a highly promising tool to fill in knowledge gaps about the neurophysiology of SZ. However, to reach its fullest potential, basic methodological challenges need to be overcome.Significance
MEG-based resting-state power and connectivity findings could be great assets to clinical and translational research in psychiatry, and SZ in particular. 相似文献2.
Maria N. Anastasiadou Manolis Christodoulakis Eleftherios S. Papathanasiou Savvas S. Papacostas Georgios D. Mitsis 《Clinical neurophysiology》2017,128(9):1755-1769
Objective
This paper proposes supervised and unsupervised algorithms for automatic muscle artifact detection and removal from long-term EEG recordings, which combine canonical correlation analysis (CCA) and wavelets with random forests (RF).Methods
The proposed algorithms first perform CCA and continuous wavelet transform of the canonical components to generate a number of features which include component autocorrelation values and wavelet coefficient magnitude values. A subset of the most important features is subsequently selected using RF and labelled observations (supervised case) or synthetic data constructed from the original observations (unsupervised case). The proposed algorithms are evaluated using realistic simulation data as well as 30 min epochs of non-invasive EEG recordings obtained from ten patients with epilepsy.Results
We assessed the performance of the proposed algorithms using classification performance and goodness-of-fit values for noisy and noise-free signal windows. In the simulation study, where the ground truth was known, the proposed algorithms yielded almost perfect performance. In the case of experimental data, where expert marking was performed, the results suggest that both the supervised and unsupervised algorithm versions were able to remove artifacts without affecting noise-free channels considerably, outperforming standard CCA, independent component analysis (ICA) and Lagged Auto-Mutual Information Clustering (LAMIC).Conclusion
The proposed algorithms achieved excellent performance for both simulation and experimental data. Importantly, for the first time to our knowledge, we were able to perform entirely unsupervised artifact removal, i.e. without using already marked noisy data segments, achieving performance that is comparable to the supervised case.Significance
Overall, the results suggest that the proposed algorithms yield significant future potential for improving EEG signal quality in research or clinical settings without the need for marking by expert neurophysiologists, EMG signal recording and user visual inspection. 相似文献3.
Philipp M. Keune Sascha Hansen Emily Weber Franziska Zapf Juliane Habich Jana Muenssinger Sebastian Wolf Michael Schönenberg Patrick Oschmann 《Clinical neurophysiology》2017,128(9):1746-1754
Objective
Neurophysiologic monitoring parameters related to cognition in Multiple Sclerosis (MS) are sparse. Previous work reported an association between magnetoencephalographic (MEG) alpha-1 activity and information processing speed. While this remains to be replicated by more available electroencephalographic (EEG) methods, also other established EEG markers, e.g. the slow-wave/fast-wave ratio (theta/beta ratio), remain to be explored in this context.Methods
Performance on standard tests addressing information processing speed and attention (Symbol-Digit Modalities Test, SDMT; Test of Attention Performance, TAP) was examined in relation to resting-state EEG alpha-1 and alpha-2 activity and the theta/beta ratio in 25 MS patients.Results
Increased global alpha-1 and alpha-2 activity and an increased frontal theta/beta ratio (pronounced slow-wave relative to fast-wave activity) were associated with lower SDMT processing speed. In an exploratory analysis, clinically impaired attention was associated with a significantly increased frontal theta/beta ratio whereas alpha power did not show sensitivity to clinical impairment.Conclusions
EEG global alpha power and the frontal theta/beta ratio were both associated with attention. The theta/beta ratio involved potential clinical sensitivity.Significance
Resting-state EEG recordings can be obtained during the routine clinical process. The examined resting-state measures may represent feasible monitoring parameters in MS. This notion should be explored in future intervention studies. 相似文献4.
Yoshihiro Noda Reza Zomorrodi Takashi Saeki Tarek K. Rajji Daniel M. Blumberger Zafiris J. Daskalakis Motoaki Nakamura 《Clinical neurophysiology》2017,128(3):424-432
Objective
We aimed to investigate neuromodulatory effects of high-frequency left dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation (rTMS) on resting-state electroencephalography (EEG) and their clinical and cognitive correlates in patients with depression.Methods
Thirty-one patients diagnosed with depression included in the present study. Resting-state gamma power and theta–gamma coupling (TGC) were calculated before and after a course of rTMS. We explored the relationship among gamma power, TGC, and clinical/cognitive outcomes as measured with the Hamilton Rating Scale for Depression (HAM-D17), Beck Depression Inventory (BDI), and Wisconsin Card Sorting Test (WCST).Results
Following rTMS, depressed patients demonstrated significant increases of resting gamma power at the F3 and F4 electrode sites and resting TGC at the C3 and T3 electrode sites. Furthermore, the increased gamma power at the F3 electrode site was significantly correlated with improved score on the HAM-D17 and BDI, while the increased TGC at the C3 electrode site was significantly correlated with reduced number of errors on the WCST.Conclusion
Thus, resting-state gamma power and TGC may represent potential biomarkers of depression associated with therapeutic effects of rTMS.Significance
Resting-state EEG may provide potential biomarkers related to therapeutic effects of rTMS. 相似文献5.
Tetsuya Takahashi Takashi Goto Sou Nobukawa Yuji Tanaka Mitsuru Kikuchi Masato Higashima Yuji Wada 《Clinical neurophysiology》2018,129(1):222-231
Objective
The “dysconnection hypothesis” has been proposed as a core neural basis for schizophrenia. Although growing neuroimaging-based evidence suggests atypical functional connectivity in patients with schizophrenia, the results are inconsistent and the effects of antipsychotic treatment remain elusive.Methods
We performed resting-state electroencephalography (EEG) in 21 drug-naïve patients with schizophrenia (14 patients were re-evaluated after administration of antipsychotic treatment) and 31 age-matched healthy control subjects. We estimated functional connectivity, using the phase lag index (PLI), which captures the true synchronization of EEG signals.Results
The patients had reduced functional connectivity of the beta band across frontal regions and of the gamma band throughout the scalp when compared to the control subjects. In the schizophrenia group, symptom severity did not seem associated with functional connectivity. Antipsychotic treatment led to no alterations in functional connectivity.Conclusions
Synchronous activity within and across brain areas over multiple frequencies reflect the integration of various types of information processing. Our findings of abnormal frequency- and region-specific functional connectivity patterns may provide further insight into the “dysconnection hypothesis” of schizophrenia.Significance
The PLI may serve as a useful measure for the characterization and understanding of the intrinsic pathophysiological mechanisms of schizophrenia, and as a reliable biomarker for this disease. 相似文献6.
Marius Keute Philipp Ruhnau Hans-Jochen Heinze Tino Zaehle 《Clinical neurophysiology》2018,129(9):1789-1795
Objective
Transcutaneous vagus nerve stimulation (tVNS) has been hypothesized to modulate γ-aminobutyric (GABA) transmission in the human brain. GABA in the motor cortex is highly correlated to measures of automatic motor inhibition that can be obtained in simple response priming paradigms. To test the effects of tVNS on GABA transmission, we measured tVNS-induced alterations in behavioral and electrophysiology during automatic motor inhibition.Methods
Participants were 16 young, healthy adults (8 female). We combined a subliminal response priming paradigm with tVNS and EEG measurement. In this paradigm, automatic motor inhibition leads to a reversal of the priming effect, a phenomenon referred to as the negative compatibility effect (NCE). We compute the NCE separated by response hands, hypothesizing a modulation of the left-hand NCE. Using EEG we measured readiness potentials, an established electrophysiological index of cortical motor preparation.Results
As hypothesized, for the ipsilateral hand/contralateral hemisphere, compared to sham stimulation, tVNS increased the NCE and modulated the electrophysiological readiness potentials.Conclusion
Our results indicate that tVNS is selectively affecting the GABAergic system in the motor system contralateral to the stimulated ear as reflected in a behavioral and electrophysiological modulation.Significance
We provide first combined behavioral and electrophysiological evidence for direct GABAergic neuromodulation through tVNS. 相似文献7.
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8.
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9.
Yuanyuan Lyu Xiaoli Guo Robin Bekrater-Bodmann Herta Flor Shanbao Tong 《Clinical neurophysiology》2017,128(5):744-750
Objective
Mental rotation of body parts involves sequential cognitive processes, including visual processing, categorization and the mental rotation process itself. However, how these processes are affected by the amputation of a limb is still unclear.Methods
Twenty-five right upper-limb amputees and the same number of matched healthy controls participated in a hand mental rotation task. Thirty-two-channel electroencephalography (EEG) was recorded and the event-related potentials (ERPs) were analyzed.Results
In the early visual processing phase, amputees and controls showed a similar P100. During the categorization phase, the amputees exhibited a decreased N200 compared with controls, and the decline was positively correlated with the time since amputation. In the mental rotation phase, controls had a larger ERP for the right upright hand than for the left upright hand, while amputees had a larger ERP for the left (intact) upright hand than for the right (affected) upright hand.Conclusions
Early visual processing was not affected by limb amputation. However, the perceptual salience of hand pictures decreased and the intact hand gained more significance in the amputees.Significance
Event-related potentials had the capability of showing the differences in categorization and mental rotation phases between amputees and controls. 相似文献10.
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11.
Da-Wei Zhang Stuart J. Johnstone Steven Roodenrys Xiangsheng Luo Hui Li Encong Wang Qihua Zhao Yan Song Lu Liu Qiujin Qian Yufeng Wang Li Sun 《Clinical neurophysiology》2018,129(6):1192-1200
Objective
This study explored the relationships between resting-state electroencephalogram (RS-EEG) localized activation and two important types of executive functions (EF) to extend the prognostic utilization of RS-EEG in children with Attention-Deficit/Hyperactivity Disorder (AD/HD). Also, the role of central nervous system (CNS) arousal in the relationships was examined.Methods
Fifty-eight children with AD/HD participated in the study. RS-EEG localized activation was derived from spectral power differences between EEG in eyes-closed and eyes-open conditions. CNS arousal was measured based on alpha band power. Common and everyday EF scores were obtained as EF outcomes.Results
Frontal delta activation predicted common EF ability and posterior alpha activation predicted everyday EF. A serial mediation analysis found that lower CNS baseline arousal was related to greater arousal and delta activation in series, which in turn related to worse common EF. A follow-up study found that baseline arousal was related to larger interference cost.Conclusions
RS-EEG is indicative of individual differences in two important types of EF in children with AD/HD. Lower CNS arousal may be a driving force for the poorer common EF performance.Significance
The current study supports prognostic utilization of RS-EEG and AD/HD models that take resting brain activity into consideration in children with AD/HD. 相似文献12.
Srikanth Muppidi Babak Razavi Mitchell G. Miglis Safwan Jaradeh 《Clinical neurophysiology》2018,129(4):783-786
Objective
To assess electroencephalography (EEG) changes during tilt table testing in syncope and other orthostatic syndromes.Methods
We retrospectively reviewed consecutive tilt table studies with simultaneous EEG from April 2014 to May 2016 at our center. All patients had video EEG during tilt table. All patients had at least 10?min of head up tilt unless they had syncope or did not tolerate the study. Video EEG was interpreted by epileptologists.Results
Eighty-seven patients met the inclusion criteria. Mean age was 45?years, and 55 were women. Seven patients (～8%) had syncope during tilt table, 11 patients (～12%) had significant neurogenic orthostatic hypotension and a separate group of 11 patients (～12%) had significant orthostatic tachycardia. Valsalva responses were abnormal in 7 of the 11 patients with orthostatic hypotension, suggesting an underlying neurogenic orthostatic hypotension. Visually discernable EEG changes were seen in only 3 patients (～43%) who had syncope and in 1 patient (～9%) with orthostatic tachycardia.Conclusions
Qualitative EEG analysis based on visual inspection during tilt table study revealed abnormalities in less than half the patients with syncope and a very small fraction with orthostatic tachycardia.Significance
Routine qualitative EEG recording might not be clinically useful during tilt table studies. 相似文献13.
Eila Sonkajärvi Seppo Rytky Seppo Alahuhta Kalervo Suominen Timo Kumpulainen Pasi Ohtonen Elina Karvonen Ville Jäntti 《Clinical neurophysiology》2018,129(3):638-645
Objectives
The aim of the study was to compare the EEG findings and haemodynamic parameters of adult male patients while undergoing mask induction with sevoflurane anaesthesia with either controlled hyperventilation (CH) or spontaneous breathing (SB).Methods
Twenty male patients, aged 23–52 (mean 42) years were anaesthetized randomly with either spontaneous breathing or mild controlled hyperventilation via mask. EEG was recorded using a full 10–20 electrode set.Results
Anaesthesia induction with high inhaled concentrations of sevoflurane produced several epileptiform and periodic EEG patterns. CH doubled the amount of these EEG patterns compared to SB. Higher heart rate was recorded in the CH group.Conclusions
We describe a high incidence of paroxysmal EEG activity: epileptiform and generalized periodic discharges (GPDs) during rapid sevoflurane in nitrous oxide-oxygen mask induction in hyperventilated male patients. However these activities have no effect to the heart rate or the mean arterial pressure.Significance
The monitoring of GPDs and burst suppression patterns during rapid anaesthesia induction with sevoflurane provides possibility to study the effects of volatile anaesthetics in the healthy brain. In order to analyse the different sources of EEG patterns a wide-band multichannel EEG recording is necessary. 相似文献14.
Objective
To assess the frequency spectrum of the normal waking human eyes-closed EEG while concentrating on a mental task.Methods
Ten adult normal volunteers listened to a CD encouraging mindfulness for one hour and five minutes while their EEG was recorded on a 128 channel DC based ANT system. The software package BESA Research version 6.1 was used for data analysis. The data were subjected to topographic display, frequency as well as independent component analysis.Results
Near-DC activity that extended beyond one hour, as well as rhythmic wave durations ranging from about 10 to 35 min, was observed in all subjects. For this task the major topographic distribution was mainly in frontal near midline areas and the inferior portions of the hemispheres.Conclusions
The study demonstrated that rhythms below the infraslow band, as well as a near-DC component, exist in the normal human EEG. Their significance for health and disease now needs to be explored.Significance
Since DC-based EEG/MEG systems are already in use by some laboratories, investigators are encouraged to include the exploration of these ultra-slow waves in the review of their data. 相似文献15.
Aleksandra Vuckovic Vicente Jose Ferrer Gallardo Mohammed Jarjees Mathew Fraser Mariel Purcell 《Clinical neurophysiology》2018,129(8):1605-1617
Objectives
To create a classifier based on electroencephalography (EEG) to identify spinal cord injured (SCI) participants at risk of developing central neuropathic pain (CNP) by comparing them with patients who had already developed pain and with able bodied controls.Methods
Multichannel EEG was recorded in the relaxed eyes opened and eyes closed states in 10 able bodied participants and 31 subacute SCI participants (11 with CNP, 10 without NP and 10 who later developed pain within 6?months of the EEG recording). Up to nine EEG band power features were classified using linear and non-linear classifiers.Results
Three classifiers (artificial neural networks ANN, support vector machine SVM and linear discriminant analysis LDA) achieved similar average performances, higher than 85% on a full set of features identifying patients at risk of developing pain and achieved comparably high performance classifying between other groups. With only 10 channels, LDA and ANN achieved 86% and 83% accuracy respectively, identifying patients at risk of developing CNP.Conclusion
Transferable learning classifier can detect patients at risk of developing CNP. EEG markers of pain appear before its physical symptoms. Simple and complex classifiers have comparable performance.Significance
Identify patients to receive prophylaxic treatment of CNP. 相似文献16.
Lihua Gu Jiu Chen Lijuan Gao Hao Shu Zan Wang Duan Liu Yanna Yan Shijiang Li Zhijun Zhang 《Clinical neurophysiology》2018,129(1):198-207
Objectives
The study aimed to investigate and compare the effect of cognitive reserve (CR) on brain activation in healthy controls (HC) and amnestic mild cognitive impairment (aMCI) patients during 0-back and 1-back tasks measured by event-related potential (ERP).Methods
The study recorded 85 subjects (39 aMCI patients and 46 their matched controls) with a 64-channel electroencephalogram (EEG). Subjects performed 0- and 1-back tasks.Results
Compared to HC, aMCI patients showed reduced accuracy, delayed mean correct response time (RT) and decreased P300 amplitude at central-parietal and parietal electrodes. A mediation analysis indicated that higher CR reduced neural inefficiency, which might be associated with better task performance in HC. However, no correlation was detected between CR and neural inefficiency in aMCI patients, whereas higher CR was still related to enhanced accuracy and prolonged RT in aMCI patients.Conclusions
The present study reported that higher CR could contribute to better task performance via down-regulating neural inefficiency in HC. In addition, higher CR might modulate attention processes in aMCI via a way distinct from that in HC, and eventually result in better task performance.Significance
The study provided evidence for that improving CR might lower cognitive impairment of healthy elderly and aMCI patients. 相似文献17.
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18.
Johannes Koren Gerhard Gritsch Susanne Pirker Johannes Herta Hannes Perko Tilmann Kluge Christoph Baumgartner 《Clinical neurophysiology》2018,129(6):1291-1299
Objective
To test the diagnostic accuracy of a new automatic algorithm for ictal onset source localization (IOSL) during routine presurgical epilepsy evaluation following STARD (Standards for Reporting of Diagnostic Accuracy) criteria.Methods
We included 28 consecutive patients with refractory focal epilepsy (25 patients with temporal lobe epilepsy (TLE) and 3 with extratemporal epilepsy) who underwent resective epilepsy surgery. Ictal EEG patterns were analyzed with a novel automatic IOSL algorithm. IOSL source localizations on a sublobar level were validated by comparison with actual resection sites and seizure free outcome 2?years after surgery.Results
Sensitivity of IOSL was 92.3% (TLE: 92.3%); specificity 60% (TLE: 50%); positive predictive value 66.7% (TLE: 66.7%); and negative predictive value 90% (TLE: 85.7%). The likelihood ratio was more than ten times higher for concordant IOSL results as compared to discordant results (p?=?0.013).Conclusions
We demonstrated the clinical feasibility of our IOSL approach yielding reasonable high performance measures on a sublobar level.Significance
Our IOSL method may contribute to a correct localization of the seizure onset zone in temporal lobe epilepsy and can readily be used in standard epilepsy monitoring settings. Further studies are needed for validation in extratemporal epilepsy. 相似文献19.
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20.
F. Fürbass S. Kampusch E. Kaniusas J. Koren S. Pirker R. Hopfengärtner H. Stefan T. Kluge C. Baumgartner 《Clinical neurophysiology》2017,128(8):1466-1472