共查询到20条相似文献，搜索用时 31 毫秒
1.
Katsuhiro Kobayashi Yuji Ohuchi Takashi Shibata Yoshiyuki Hanaoka Mari Akiyama Makio Oka Fumika Endoh Tomoyuki Akiyama 《Brain & development》2018,40(5):397-405
Objective
We explored fast (40–150?Hz) oscillations (FOs) from the ictal scalp electroencephalogram (EEG) data of myoclonic seizures in pediatric patients to obtain insight into the pathophysiological mechanisms involved in the generation of myoclonic seizures.Subjects and methods
The participants were 21 children (11 boys, 10 girls; age ranging from 5?months to 17?years 2?months) with myoclonic seizures associated with generalized (poly)spike-wave bursts in the ictal EEG data. The patients had heterogeneous etiologies and epilepsy diagnoses. In the ictal data, we detected FOs that clearly showed oscillatory morphology in filtered EEG traces and an outstanding spectral blob in time-frequency analysis.Results
We identified FOs in 61 (88.4%) of all 69 myoclonic seizures. Every patient had at least one myoclonic seizure-associated FO. The observed FOs were embedded in the spike component of (poly)spike-wave discharges, and they had a focal distribution with frontal predominance. They ranged in frequency from 41.0 to 123.0?Hz and involved both the gamma and ripple bands, and their spectral peak frequencies were higher in the group of patients with a genetic background free of apparent fundamental brain pathology than in the group of other patients (p?=?0.019).Conclusion
FOs were found to represent at least part of the cortical pathophysiological process in the generation of myoclonic seizures that should involve the thalamocortical network system. 相似文献2.
Zachary J. Waldman Shoichi Shimamoto Inkyung Song Iren Orosz Anatol Bragin Itzhak Fried Jerome Engel Richard Staba Michael R. Sperling Shennan A. Weiss 《Clinical neurophysiology》2018,129(1):308-318
Objective
To develop a reliable software method using a topographic analysis of time-frequency plots to distinguish ripple (80–200?Hz) oscillations that are often associated with EEG sharp waves or spikes (RonS) from sinusoid-like waveforms that appear as ripples but correspond with digital filtering of sharp transients contained in the wide bandwidth EEG.Methods
A custom algorithm distinguished true from false ripples in one second intracranial EEG (iEEG) recordings using wavelet convolution, identifying contours of isopower, and categorizing these contours into sets of open or closed loop groups. The spectral and temporal features of candidate groups were used to classify the ripple, and determine its duration, frequency, and power. Verification of detector accuracy was performed on the basis of simulations, and visual inspection of the original and band-pass filtered signals.Results
The detector could distinguish simulated true from false ripple on spikes (RonS). Among 2934 visually verified trials of iEEG recordings and spectrograms exhibiting RonS the accuracy of the detector was 88.5% with a sensitivity of 81.8% and a specificity of 95.2%. The precision was 94.5% and the negative predictive value was 84.0% (N?=?12). Among, 1,370 trials of iEEG recording exhibiting RonS that were reviewed blindly without spectrograms the accuracy of the detector was 68.0%, with kappa equal to 0.01?±?0.03. The detector successfully distinguished ripple from high spectral frequency ‘fast ripple’ oscillations (200–600?Hz), and characterize ripple duration and spectral frequency and power. The detector was confounded by brief bursts of gamma (30–80?Hz) activity in 7.31?±?6.09% of trials, and in 30.2?±?14.4% of the true RonS detections ripple duration was underestimated.Conclusions
Characterizing the topographic features of a time-frequency plot generated by wavelet convolution is useful for distinguishing true oscillations from false oscillations generated by filter ringing.Significance
Categorizing ripple oscillations and characterizing their properties can improve the clinical utility of the biomarker. 相似文献3.
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4.
Kathryn A. Davis Seth P. Devries Abba Krieger Temenuzhka Mihaylova Daniela Minecan Brian Litt Joost B. Wagenaar William C. Stacey 《Clinical neurophysiology》2018,129(2):360-367
Objective
Recent research suggests that high frequency intracranial EEG (iEEG) may improve localization of epileptic networks. This study aims to determine whether recording macroelectrode iEEG with higher sampling rates improves seizure localization in clinical practice.Methods
14 iEEG seizures from 10 patients recorded with >2000?Hz sampling rate were downsampled to four sampling rates: 100, 200, 500, 1000?Hz. In the 56 seizures, seizure onset time and location was marked by 5 independent, blinded EEG experts.Results
When reading iEEG under clinical conditions, there was no consistent difference in time or localization of seizure onset or number of electrodes involved in the seizure onset zone with sampling rates varying from 100 to 1000?Hz. Stratification of patients by outcome did not improve with higher sampling rate.Conclusion
When utilizing standard clinical protocols, there was no benefit to acquiring iEEGs with sampling rate >100?Hz. Significant variability was noted in EEG marking both within and between individual expert EEG readers.Significance
Although commercial equipment is capable of sampling much faster than 100?Hz, tools allowing visualization of subtle high frequency activity such as HFOs will be required to improve patient care. Quantitative methods may decrease reader variability, and potentially improve patient outcomes. 相似文献5.
Claudio Babiloni Giuseppe Noce Alfredo Pennica Paolo Onorati Paolo Capotosto Claudio Del Percio Paolo Roma Valentina Correr Elisa Piccinni Ginevra Toma Andrea Soricelli Francesco Di Campli Laura Gianserra Lorenzo Ciullini Antonio Aceti Elisabetta Teti Loredana Sarmati Gloria Crocetti Stefano Ferracuti 《Clinical neurophysiology》2018,129(2):431-441
Objective
Here we evaluated the hypothesis that resting state electroencephalographic (EEG) cortical sources correlated with cognitive functions and discriminated asymptomatic treatment-naïve HIV subjects (no AIDS).Methods
EEG, clinical, and neuropsychological data were collected in 103 treatment-naïve HIV subjects (88 males; mean age 39.8?years?±?1.1 standard error of the mean, SE). An age-matched group of 70 cognitively normal and HIV-negative (Healthy; 56 males; 39.0?years?±?2.0 SE) subjects, selected from a local university archive, was used for control purposes. LORETA freeware was used for EEG source estimation in fronto-central, temporal, and parieto-occipital regions of interest.Results
Widespread sources of delta (<4?Hz) and alpha (8–12?Hz) rhythms were abnormal in the treatment-naïve HIV group. Fronto-central delta source activity showed a slight but significant (p?<?0.05, corrected) negative correlation with verbal and semantic test scores. So did parieto-occipital delta/alpha source ratio with memory and composite cognitive scores. These sources allowed a moderate classification accuracy between HIV and control individuals (area under the ROC curves of 70–75%).Conclusions
Regional EEG abnormalities in quiet wakefulness characterized treatment-naïve HIV subjects at the individual level.Significance
This EEG approach may contribute to the management of treatment-naïve HIV subjects at risk of cognitive deficits. 相似文献6.
Junpei Tanigawa Kuriko Kagitani-Shimono Junko Matsuzaki Rei Ogawa Ryuzo Hanaie Tomoka Yamamoto Koji Tominaga Shin Nabatame Ikuko Mohri Masako Taniike Keiichi Ozono 《Clinical neurophysiology》2018,129(9):2029-2037
Objective
Individuals with autism spectrum disorder (ASD) often show characteristic differences in auditory processing. To clarify the mechanisms underlying communication impairment in ASD, we examined auditory language processing with both anatomical and functional methods.Methods
We assessed the language abilities of adolescents with ASD and typically developing (TD) adolescents, and analyzed the surface-based morphometric structure between the groups using magnetic resonance imaging. Furthermore, we measured cortical responses to an auditory word comprehension task with magnetoencephalography and performed network-based statistics using the phase locking values.Results
We observed no structural differences between the groups. However, the volume of the left ventral central sulcus (vCS) showed a significant correlation with linguistic scores in ASD. Moreover, adolescents with ASD showed weaker cortical activation in the left vCS and superior temporal sulcus. Furthermore, these regions showed differential correlations with linguistic scores between the groups. Moreover, the ASD group had an atypical gamma band (25–40?Hz) network centered on the left vCS.Conclusions
Adolescents with ASD showed atypical responses on the auditory word comprehension task and functional brain differences.Significance
Our results suggest that phonological processing and gamma band cortical activity play a critical role in auditory language processing-related pathophysiology in adolescents with ASD. 相似文献7.
Saskia Elben Carlos Trenado Jan Vesper Alfons Schnitzler Lars Wojtecki 《Clinical neurophysiology》2018,129(1):79-88
Objective
Electrical median nerve somatosensory stimulation leads to a distinct modulation of cortical oscillations. Initial high frequency and gamma augmentation, as well as modulation of beta and alpha oscillations have been reported. We aimed at investigating the involvement of the subthalamic nucleus in somatosensory processing by means of local field potential recordings, since recordings during passive movements and peripheral somatosensory stimulation have suggested a prominent role.Methods
Recordings of subthalamic neuronal activity following median nerve stimulation in 11 Parkinson’s disease patients were performed. Time-frequency analysis from 1 to 500?Hz was averaged and analyzed.Results
Several oscillatory components in response to somatosensory stimulation were revealed in the time-frequency analysis: (I) prolonged increase in alpha band power, followed by attenuation; (II) initial suppression of power followed by a subsequent rebound in the beta band; (III) early broad-frequency increase in gamma band power; (IV) and sustained increase of 160?Hz frequency oscillations throughout the trial.Conclusions
These results further corroborate the involvement of the subthalamic nucleus in somatosensory processing.Significance
The present results not only support the notion of somatosensory processing in the subthalamic nucleus. Moreover, an improvement of somatosensory processing during subthalamic deep brain stimulation in Parkinson’s disease might be accounted for by enhancement of prevailing high frequency oscillations. 相似文献8.
Victor J. Geraedts Johan Marinus Alida A. Gouw Arne Mosch Cornelis J. Stam Jacobus J. van Hilten Maria Fiorella Contarino Martijn R. Tannemaat 《Clinical neurophysiology》2018,129(8):1748-1755
Objective
In Parkinson’s Disease (PD), measures of non-dopaminergic systems involvement may reflect disease severity and therefore contribute to patient-selection for Deep Brain Stimulation (DBS). There is currently no determinant for non-dopaminergic disease severity. In this exploratory study, we investigated whether quantitative EEG reflects non-dopaminergic disease severity in PD.Methods
Sixty-three consecutive PD patients screened for DBS were included (mean age 62.4?±?7.2?years, 32% females). Relative spectral powers and the Phase-Lag-Index (PLI) reflecting functional connectivity were analysed on routine EEGs. Non-dopaminergic disease severity was quantified using the SENS-PD score and its subdomains; motor-severity was quantified using the MDS-UPDRS III.Results
The SENS-PD composite score correlated with a spectral ratio ((δ?+?θ)/(α1?+?α2?+?β) powers) (global spectral ratio Pearson’s r?=?0.4, 95% Confidence Interval (95%CI) 0.1–0.6), and PLI in the α2 band (10–13?Hz) (r?=??0.3, 95%CI ?0.5 to ?0.1). These correlations seem driven by the subdomains cognition and psychotic symptoms. MDS-UPDRS III was not significantly correlated with EEG parameters.Conclusions
EEG slowing and reduced functional connectivity in the α2 band were associated with non-dopaminergic disease severity in PD.Significance
The described EEG parameters may have complementary utility as determinants of non-dopaminergic involvement in PD. 相似文献9.
10.
Shoichi Shimamoto Zachary J. Waldman Iren Orosz Inkyung Song Anatol Bragin Itzhak Fried Jerome Engel Richard Staba Ashwini Sharan Chengyuan Wu Michael R. Sperling Shennan A. Weiss 《Clinical neurophysiology》2018,129(1):296-307
Objective
To develop and validate a detector that identifies ripple (80–200?Hz) events in intracranial EEG (iEEG) recordings in a referential montage and utilizes independent component analysis (ICA) to eliminate or reduce high-frequency artifact contamination. Also, investigate the correspondence of detected ripples and the seizure onset zone (SOZ).Methods
iEEG recordings from 16 patients were first band-pass filtered (80–600?Hz) and Infomax ICA was next applied to derive the first independent component (IC1). IC1 was subsequently pruned, and an artifact index was derived to reduce the identification of high-frequency events introduced by the reference electrode signal. A Hilbert detector identified ripple events in the processed iEEG recordings using amplitude and duration criteria. The identified ripple events were further classified and characterized as true or false ripple on spikes, or ripples on oscillations by utilizing a topographical analysis to their time-frequency plot, and confirmed by visual inspection.Results
The signal to noise ratio was improved by pruning IC1. The precision of the detector for ripple events was 91.27?±?4.3%, and the sensitivity of the detector was 79.4?±?3.0% (N?=?16 patients, 5842 ripple events). The sensitivity and precision of the detector was equivalent in iEEG recordings obtained during sleep or intra-operatively. Across all the patients, true ripple on spike rates and also the rates of false ripple on spikes, that were generated due to filter ringing, classified the seizure onset zone (SOZ) with an area under the receiver operating curve (AUROC) of >76%. The magnitude and spectral content of true ripple on spikes generated in the SOZ was distinct as compared with the ripples generated in the NSOZ (p?<?.001).Conclusions
Utilizing ICA to analyze iEEG recordings in referential montage provides many benefits to the study of high-frequency oscillations. The ripple rates and properties defined using this approach may accurately delineate the seizure onset zone.Significance
Strategies to improve the spatial resolution of intracranial EEG and reduce artifact can help improve the clinical utility of HFO biomarkers. 相似文献11.
Luodi Yu Suiping Wang Dan Huang Xueyuan Wu Yang Zhang 《Clinical neurophysiology》2018,129(7):1374-1382
Objective
This autism study investigated how inter-trial phase coherence (ITPC) drives abnormalities in auditory evoked potential (AEP) responses for speech and nonspeech stimuli.Methods
Auditory P1-N2 responses and ITPCs in the theta band (4–7?Hz) for pure tones and words were assessed with EEG data from 15 school-age children with autism and 16 age-matched typically developing (TD) controls.Results
The autism group showed enhanced P1 and reduced N2 for both speech and nonspeech stimuli in comparison with the TD group. Group differences were also found with enhanced theta ITPC for P1 followed by ITPC reduction for N2 in the autism group. The ITPC values were significant predictors of P1 and N2 amplitudes in both groups.Conclusions
Abnormal trial-to-trial phase synchrony plays an important role in AEP atypicalities in children with autism. ITPC-driven enhancement as well as attenuation in different AEP components may coexist, depending on the stage of information processing.Significance
It is necessary to examine the time course of auditory evoked potentials and the corresponding inter-trial coherence of neural oscillatory activities to better understand hyper- and hypo- sensitive responses in autism, which has important implications for sensory based treatment. 相似文献12.
Eda Tipura Alan J. Pegna Beatrice de Gelder Olivier Renaud 《Clinical neurophysiology》2017,128(5):770-779
Objective
We investigated neuronal correlates of faces versus non-faces processing in a cortically blind patient (TN) and a group of healthy age-matched controls in order to test electrophysiological correlates of the processing of pertinent stimuli in this patient.Methods
An EEG paradigm was used, in which intact and scrambled faces were displayed on a screen. First, time-frequency transforms were conducted on the patients’ data alone. These oscillations were then compared to the frontal activity of six control participants.Results
Post stimulus oscillatory modulations (synchronisation in theta and alpha frequency bands) of both intact and scrambled faces at frontal scalp sites were observed in TN. These modulations were different for correct and incorrect responses. A more important increase in the theta band for incorrect responses was observed. The oscillatory rhythms highlighted in blindsight and in frontal regions differ from the ones observed in control participants.Conclusion
Despite the destruction of the visual cortex, oscillatory rhythms are not cancelled out but are shifted to anterior regions, revealing the activity of an alternate pathway for residual visual function.Significance
The results provide evidence for a top-down cognitive control process in blindsight. 相似文献13.
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14.
Barry J. Ruijter Jeannette Hofmeijer Marleen C. Tjepkema-Cloostermans Michel J.A.M. van Putten 《Clinical neurophysiology》2018,129(8):1534-1543
Objective
To assess the value of background continuity and amplitude fluctuations of the EEG for the prediction of outcome of comatose patients after cardiac arrest.Methods
In a prospective cohort study, we analyzed EEGs recorded in the first 72?h after cardiac arrest. We defined the background continuity index (BCI) as the fraction of EEG not spent in suppressions (amplitudes <?10?µV for ≥?0.5?s), and the burst-suppression amplitude ratio (BSAR) as the mean amplitude ratio between non-suppressed and suppressed segments. Outcome was assessed at 6?months and categorized as “good” (Cerebral Performance Category 1–2) or “poor” (CPC 3–5).Results
Of the 559 patients included, 46% had a good outcome. Combinations of BCI and BSAR resulted in the highest prognostic accuracies. Good outcome could be predicted at 24?h with 57% sensitivity (95% confidence interval (CI): 48–67) at 90% specificity (95%-CI: 86–95). Poor outcome could be predicted at 12?h with 50% sensitivity (95%-CI: 42–56) at 100% specificity (95%-CI: 99–100).Conclusions
EEG background continuity and the amplitude ratio between bursts and suppressions reliably predict the outcome of postanoxic coma.Significance
The presented features provide an objective, rapid, and reliable tool to assist in EEG interpretation in the Intensive Care Unit. 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.
Tyler S. Davis John D. Rolston Robert J. Bollo Paul A. House 《Clinical neurophysiology》2018,129(11):2466-2474
Objective
Single-pulse electrical stimulation (SPES) of intracranial electrodes evokes responses that may help identify the seizure onset zone (SOZ); however, lack of automation and response variability has limited clinical adoption of this technique. We evaluated whether automated delivery of low-current SPES could evoke delayed high-frequency suppression (DHFS) of ongoing electrocorticography (ECoG) signals that, when combined with objective analytic techniques, may provide a reliable marker of this zone.Methods
Low-current SPES (1-ms, 3.5-mA biphasic pulses) was delivered to 652 electrodes across 10 patients undergoing ECoG for seizure focus localization. DHFS was measured by calculating the normalized trial-averaged time-frequency power (70–250?Hz) 0.4–1?sec post-stimulation. Electrodes that evoked suppression when stimulated or recorded suppression when stimulation was nearby were used to estimate the SOZ.Results
The estimated SOZ significantly identified the clinical SOZ in 6 of 10 patients (5 of 7 temporal foci) with a false-positive rate of 0–0.06. Stimulation required <2?h, was undetectable by patients, and did not induce seizures or after-discharges.Conclusions
We show that DHFS provides accurate estimates of the clinical SOZ in patients with refractory epilepsy.Significance
This approach may increase the safety, speed, and reproducibility of SOZ identification while reducing cost, subjectivity, and patient discomfort. 相似文献17.
Johanna Piispala Tuomo Starck Eira Jansson-Verkasalo Mika Kallio 《Clinical neurophysiology》2018,129(9):1971-1980
Objective
Our goal was to discover attention- and inhibitory control-related differences in the main oscillations of the brain of children who stutter (CWS) compared to typically developed children (TDC).Methods
We performed a time-frequency analysis using wavelets, fast Fourier transformation (FFT) and the Alpha/Theta power ratio of EEG data collected during a visual Go/Nogo task in 7–9?year old CWS and TDC, including also the time window between consecutive tasks.Results
CWS showed significantly reduced occipital alpha power and Alpha/Theta ratio in the “resting” or preparatory period between visual stimuli especially in the Nogo condition.Conclusions
The CWS demonstrate reduced inhibition of the visual cortex and information processing in the absence of visual stimuli, which may be related to problems in attentional gating.Significance
Occipital alpha oscillation is elementary in the control and inhibition of visual attention and the lack of occipital alpha modulation indicate fundamental differences in the regulation of visual information processing in CWS. Our findings support the view of stuttering as part of a wide-ranging brain dysfunction most likely involving also attentional and inhibitory networks. 相似文献18.
Emanuel N. van den Broeke Bart de Vries Julien Lambert Diana M. Torta André Mouraux 《Clinical neurophysiology》2017,128(8):1445-1456
Objective
Pinprick-evoked brain potentials (PEPs) have been proposed as a technique to investigate secondary hyperalgesia and central sensitization in humans. However, the signal-to-noise (SNR) of PEPs is low. Here, using time-frequency analysis, we characterize the phase-locked and non-phase-locked EEG responses to pinprick stimulation, before and after secondary hyperalgesia.Methods
Secondary hyperalgesia was induced using high-frequency electrical stimulation (HFS) of the left/right forearm skin in 16 volunteers. EEG responses to 64 and 96 mN pinprick stimuli were elicited from both arms, before and 20 min after HFS.Results
Pinprick stimulation applied to normal skin elicited a phase-locked low-frequency (<5 Hz) response followed by a reduction of alpha-band oscillations (7–10 Hz). The low-frequency response was significantly increased when pinprick stimuli were delivered to the area of secondary hyperalgesia. There was no change in the reduction of alpha-band oscillations. Whereas the low-frequency response was enhanced for both 64 and 96 mN intensities, PEPs analyzed in the time domain were only significantly enhanced for the 64 mN intensity.Conclusions
Time-frequency analysis may be more sensitive than conventional time-domain analysis in revealing EEG changes associated to secondary hyperalgesia.Significance
Time-frequency analysis of PEPs can be used to investigate central sensitization in humans. 相似文献19.
Shuichiro Neshige Masao Matsuhashi Katsuya Kobayashi Takeyo Sakurai Akihiro Shimotake Takefumi Hitomi Takayuki Kikuchi Kazumichi Yoshida Takeharu Kunieda Riki Matsumoto Ryosuke Takahashi Susumu Miyamoto Hirofumi Maruyama Masayasu Matsumoto Akio Ikeda 《Clinical neurophysiology》2018,129(9):2038-2048
Objective
To assess the feasibility of multi-component electrocorticography (ECoG)-based mapping using “wide-spectrum, intrinsic-brain activities” for identifying the primary sensori-motor area (S1-M1).Methods
We evaluated 14 epilepsy patients with 1514 subdural electrodes implantation covering the perirolandic cortices at Kyoto University Hospital between 2011 and 2016. We performed multi-component, ECoG-based mapping (band-pass filter, 0.016–300/600?Hz) involving combined analyses of the single components: movement-related cortical potential (<0.5–1?Hz), event-related synchronization (76–200?Hz), and event-related de-synchronization (8–24?Hz) to identify the S1-M1. The feasibility of multi-component mapping was assessed through comparisons with single-component mapping and electrical cortical stimulation (ECS).Results
Among 54 functional areas evaluation, ECoG-based maps showed significantly higher rate of localization concordances with ECS maps when the three single-component maps were consistent than when those were inconsistent with each other (p?<?0.001 in motor, and p?=?0.02 in sensory mappings). Multi-component mapping revealed high sensitivity (89–90%) and specificity (94–97%) as compared with ECS.Conclusions
Wide-spectrum, multi-component ECoG-based mapping is feasible, having high sensitivity/specificity relative to ECS.Significance
This safe (non-stimulus) mapping strategy, alternative to ECS, would allow clinicians to rule in/out the possibility of brain function prior to resection surgery. 相似文献20.
Sandra Naumann Ulrike Senftleben Megha Santhosh James McPartland Sara Jane Webb 《Journal of Neurodevelopmental Disorders》2018,10(1):27