Clinical Neurophysiology最新文献

{"title":"Seizure forecasting with ultra long-term EEG signals","authors":"Hongliu Yang ,&nbsp;Jens Müller ,&nbsp;Matthias Eberlein ,&nbsp;Sotirios Kalousios ,&nbsp;Georg Leonhardt ,&nbsp;Jonas Duun-Henriksen ,&nbsp;Troels Kjaer ,&nbsp;Ronald Tetzlaff","doi":"10.1016/j.clinph.2024.09.017","DOIUrl":"10.1016/j.clinph.2024.09.017","url":null,"abstract":"<div><h3>Objective</h3><div>The apparent randomness of seizure occurrence affects greatly the quality of life of persons with epilepsy. Since seizures are often phase-locked to multidien cycles of interictal epileptiform activity, a recent forecasting scheme, exploiting RNS data, is capable of forecasting seizures days in advance.</div></div><div><h3>Methods</h3><div>We tested the use of a bandpass filter to capture the universal mid-term dynamics enabling both patient-specific and cross-patient forecasting. In a retrospective study, we explored the feasibility of the scheme on three long-term recordings obtained by the NeuroPace RNS System, the NeuroVista intracranial, and the UNEEG subcutaneous devices, respectively.</div></div><div><h3>Results</h3><div>Better-than-chance forecasting was observed in 15 (83 %) of 18 patients, and in 16 (89 %) patients for daily and hourly forecast, respectively. Meaningful forecast up to 30 days could be achieved in 4 (22 %) patients for hourly forecast frequency. The cross-patient performance decreased only marginally and was patient-wise strongly correlated with the patient-specific one. Comparable performance was obtained for NeuroVista and UNEEG data sets.</div></div><div><h3>Significance</h3><div>The feasibility of cross-patient forecasting supports the universal importance of mid-term dynamics for seizure forecasting, demonstrates promising inter-subject-applicability of the scheme on ultra long-term EEG recordings, and highlights its huge potential for clinical use.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 211-220"},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generalized paroxysmal fast activity in a cohort of patients with epilepsy with eyelid myoclonia","authors":"Haipo Yang,&nbsp;Shuang Wang","doi":"10.1016/j.clinph.2024.09.016","DOIUrl":"10.1016/j.clinph.2024.09.016","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to analyze and summarize the characteristics of generalized paroxysmal fast activity (GPFA) via electroencephalography (EEG) in patients with epilepsy with eyelid myoclonia (EEM) and to determine its relationship with clinical outcome.</div></div><div><h3>Methods</h3><div>Patients with EEM were selected from our EEG database. The collected data included detailed clinical information, factors that triggered GPFA, and the relationship between GPFA and eyelid myoclonia seizures. The clinical data and EEG characteristics of patients with and without GPFA were compared.</div></div><div><h3>Results</h3><div>Forty-seven patients with EEM were identified according to the clinical criteria, of whom 18 (38.3%) exhibited GPFA. GPFA can occur ictally or interictally. The difference in the response to antiseizure medication (ASM) between EEM patients with and without GPFA suggested that patients who had GPFA on EEG might have easier seizure control.</div></div><div><h3>Conclusion</h3><div>In our study, 38.3% of EEM patients had GPFA on EEG. GPFA is an EEG pattern in individuals with EEM that can cause eyelid myoclonia. EEM patients with GPFA on their EEG had easier seizure control than those without GPFA.</div></div><div><h3>Significance</h3><div>This study summarized the incidence and electroclinical features of GPFA in a cohort of patients with EEM.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 192-197"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intensity-dependence of auditory-evoked potentials might present an early surrogate marker for post-stroke depression","authors":"Nico Meißner-Bendzko ,&nbsp;Gunnar Waterstraat ,&nbsp;Gabriel Curio ,&nbsp;Andrea Rocco ,&nbsp;Christina Hofmann-Shen","doi":"10.1016/j.clinph.2024.09.014","DOIUrl":"10.1016/j.clinph.2024.09.014","url":null,"abstract":"<div><h3>Objective</h3><div>Post-stroke depression (PSD) is a common stroke complication, associated with severe physical and cognitive impairment. Low central serotonergic tone, associated with depression, inversely correlates with the intensity-dependence of auditory-evoked potentials (IDAP). Aim of this study was to investigate IDAP’s usability as early surrogate marker for PSD development by assessing the correlation between IDAP early after stroke and the occurrence of PSD from 4 weeks after stroke.</div></div><div><h3>Methods</h3><div>We assessed auditory-evoked potentials (AEP) and depressive symptoms using the Montgomery-Åsberg Depression Rating Scale (MADRS) at day 1 – 3 and &gt; 30 after stroke onset. IDAP was calculated as the linear slope of the N1-P2 amplitude/stimulus intensity function (ASF).</div></div><div><h3>Results</h3><div>37 patients completed the study. We diagnosed 7 patients with PSD, defined as MADRS-score<span><math><mrow><mo>≥</mo><mspace></mspace></mrow></math></span> 7 at follow-up. The PSD group showed significantly steeper ASF slopes at admission compared with the non-depressed group (p = 0.007). We also found a positive correlation between ASF slopes on first and MADRS-scores on last measurement point for all stroke patients as a group (p = 0.007).</div></div><div><h3>Conclusions</h3><div>The study findings support the hypothesis that IDAP can predict the development of depressive symptoms following stroke and may therefore serve as an early surrogate marker for PSD.</div></div><div><h3>Significance</h3><div>This is the first longitudinal study to assess the relationship between IDAP and PSD.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 254-261"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142380235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heads, necks and artifacts: The ECG artifact in EEG, a relation with a broad neck?","authors":"S.E. Knapen,&nbsp;M.S. Schinkelshoek,&nbsp;R.H. Reijntjes,&nbsp;M.R. Tannemaat","doi":"10.1016/j.clinph.2024.09.018","DOIUrl":"10.1016/j.clinph.2024.09.018","url":null,"abstract":"","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 189-191"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Standardizing intraoperative facial nerve motor evoked potentials","authors":"Johannes Sarnthein,&nbsp;Andrea Szelényi","doi":"10.1016/j.clinph.2024.09.013","DOIUrl":"10.1016/j.clinph.2024.09.013","url":null,"abstract":"","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 209-210"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intra-epidermal electrically evoked potentials are sensitive to detect degenerative cervical myelopathy suggesting their spinothalamic propagation","authors":"Sara U. Júlio ,&nbsp;Miriam Schneuwly ,&nbsp;Paulina S. Scheuren ,&nbsp;Nikolai Pfender ,&nbsp;Carl M. Zipser ,&nbsp;Michèle Hubli ,&nbsp;Martin Schubert","doi":"10.1016/j.clinph.2024.09.015","DOIUrl":"10.1016/j.clinph.2024.09.015","url":null,"abstract":"<div><h3>Objective</h3><div>Degenerative cervical myelopathy (DCM) is a centromedullary spinal cord disorder mainly affecting crossing fibers. While contact heat evoked potentials (CHEPs) are sensitive in detecting DCM by testing spinothalamic integrity, somatosensory evoked potentials (dSSEPs) show unaffected dorsal column conduction. Intra-epidermal electrically evoked potentials (IEEPs) have unknown spinal propagation after noxious stimulation. We investigated (1) the spinothalamic tract propagation and (2) the discriminative power in detecting spinal pathology of IEEPs compared to CHEPs and dSSEPs in DCM.</div></div><div><h3>Methods</h3><div>DCM was diagnosed by neurological examination regarding stenosis (MRI). Stimulation of C6, C8, and T4 dermatomes yielded dSSEPs, CHEPs, and IEEPs. (1) Spinal propagation was assessed through concordant or discordant responses, and (2) discriminative power was determined using receiver operating characteristic curves (ROC).</div></div><div><h3>Results</h3><div>Twenty-seven patients (8F, 56 ± 12yrs) with DCM were analyzed and compared to age-matched healthy controls. IEEPs were abnormal in 43–54%, CHEPs in 37–69%, and dSSEPs in 4–12%. IEEPs showed high concordance with abnormalities of CHEPs (62–69%). ROC analyses showed good discriminative power of CHEPs and IEEPs contrary to dSSEPs.</div></div><div><h3>Conclusions</h3><div>The concordance of abnormal responses of CHEPs and IEEPs contrary to dSSEPs suggests spinothalamic propagation of IEEPs.</div></div><div><h3>Significance</h3><div>Minimal differences between CHEPs and IEEPs suggest complementary potential by the combined testing of spinothalamic tract integrity.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 229-238"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The recovery cycle of excitability assessed by a conventional electrodiagnostic machine: A study in healthy volunteers and in Charcot-Marie-Tooth 1A patients","authors":"Maëlle Tyberghein,&nbsp;Florence Manto,&nbsp;François Charles Wang","doi":"10.1016/j.clinph.2024.09.009","DOIUrl":"10.1016/j.clinph.2024.09.009","url":null,"abstract":"<div><h3>Objective</h3><div>To validate the ‘paired pulses’ technique with a conventional electrodiagnostic machine (CEM) for studying the axonal excitability recovery cycle (ERC).</div></div><div><h3>Methods</h3><div>Paired pulses, with a variable inter-stimulus interval, were delivered at the wrist along the median nerve. The CEM repeatability was verified in a group of 15 healthy volunteers (test/retest analysis). ERC was then applied in 40 healthy volunteers and 10 patients with Charcot-Marie-Tooth type 1A (CMT1A), using both the threshold tracking (TT) reference method and CEM (basal condition, during and after ischemia).</div></div><div><h3>Results</h3><div>CEM parameters evaluating absolute refractory and supernormal periods were reproducible (interclass correlation coefficient &gt; 0.75). CEM results were consistent with TT method and literature data. In CMT1A, refractory and superexcitable periods were significantly reduced. According to receiving operator characteristic analysis, the CEM supernormal period area was the most relevant parameter for discriminating CMT1A from healthy volunteers (area under the curve = 0.98).</div></div><div><h3>Conclusions</h3><div>CEM was a valid procedure for studying ERC. CMT1A patients exhibited ERC alterations due to modifications in passive membrane properties and of nodal ion channel distribution resulting from demyelination.</div></div><div><h3>Significance</h3><div>Studying ERC with CEM could be performed in routine practice in patients with peripheral neuropathies to provide information on motor axonal excitability.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 167-176"},"PeriodicalIF":3.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Breakdown of TMS evoked EEG signal propagation within the default mode network in Alzheimer’s disease","authors":"Michele Maiella ,&nbsp;Lucia Mencarelli ,&nbsp;Elias P. Casula ,&nbsp;Ilaria Borghi ,&nbsp;Martina Assogna ,&nbsp;Francesco di Lorenzo ,&nbsp;Sonia Bonnì ,&nbsp;Valentina Pezzopane ,&nbsp;Alessandro Martorana ,&nbsp;Giacomo Koch","doi":"10.1016/j.clinph.2024.09.007","DOIUrl":"10.1016/j.clinph.2024.09.007","url":null,"abstract":"<div><h3>Background</h3><div>The neural activity of the Default Mode Network (DMN) is disrupted in patients with In Alzheimer’s disease (AD).</div></div><div><h3>Objectives</h3><div>We used a novel multimodal approach to track neural signal propagation within the DMN in AD patients.</div></div><div><h3>Methods</h3><div>Twenty mild to moderate AD patients were recruited. We used transcranial magnetic stimulation (TMS) pulses to probe with a millisecond time resolution the propagation of evoked electroencephalography (EEG) signal following the neural activation of the Precuneus (PC), which is a key hub area of the DMN. Moreover, functional and structural magnetic resonance imaging (MRI) data were collected to reconstruct individual features of the DMN.</div></div><div><h3>Results</h3><div>In AD patients a probe TMS pulse applied over the PC evokes an increased local activity unmasking underlying hyperexcitability. In contrast, the EEG evoked neural signal did not propagate efficiently within the DMN showing a remarkable breakdown of signal propagation. fMRI and structural tractography showed that impaired signal propagation was related to the same connectivity matrices derived from DMN BOLD signal and transferred by specific white matter bundles forming the cingulum. These features were not detectable stimulating other areas (left dorsolateral prefrontal cortex) or for different networks (fronto-parietal network). Finally, connectivity breakdown was associated with cognitive impairment, as measured with the Clinical Dementia Rating Scale sum of boxes (CDR-SB).</div></div><div><h3>Conclusions</h3><div>TMS-EEG in AD shows both local hyperexcitability and a lack of signal propagation within the DMN. These neurophysiological features also correlate with structural and cognitive attributes of the patients.</div></div><div><h3>Significance</h3><div>Neuronavigated TMS-EEG may be used as a novel neurophysiological biomarker of DMN connectivity in AD patients.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 177-188"},"PeriodicalIF":3.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using deep learning and pretreatment EEG to predict response to sertraline, bupropion, and placebo","authors":"Marman Ravan ,&nbsp;Amin Noroozi ,&nbsp;Harshil Gediya ,&nbsp;Kennette James Basco ,&nbsp;Gary Hasey","doi":"10.1016/j.clinph.2024.09.002","DOIUrl":"10.1016/j.clinph.2024.09.002","url":null,"abstract":"<div><h3>Objective</h3><div>Predicting an individual’s response to antidepressant medication remains one of the most challenging tasks in the treatment of major depressive disorder (MDD). Our objective was to use the large EMBARC study database to develop an electroencephalography (EEG)-based method to predict response to antidepressant treatment.</div></div><div><h3>Methods</h3><div>Pre-treatment EEG data were collected from study participants treated with either sertraline (N = 105), placebo (N = 119), or bupropion (N = 35). After preprocessing, the robust exact low-resolution electromagnetic tomography (ReLORETA) brain source localization method was used to reconstruct the source signals in 54 brain regions. Connectivity between regions was determined using symbolic transfer entropy (STE). A convolutional neural network (CNN) classified participants as responders or non-responders to each treatment.</div></div><div><h3>Results</h3><div>Classification accuracy was 91.0%, 95.4%, and 86.8% for sertraline, placebo, and bupropion, respectively. The most highly predictive features were connectivity between i) the anterior cingulate cortex and superior parietal lobule (alpha frequency), ii) the anterior cingulate cortex and orbitofrontal area (beta frequency), and iii) the orbitofrontal area and anterior cingulate cortex (gamma frequency).</div></div><div><h3>Conclusion</h3><div>CNN analysis of EEG connectivity may accurately predict response to sertraline, bupropion, and placebo.</div></div><div><h3>Significance</h3><div>The suggested method may offer clinicians an accessible and cost-effective tool for speedy treatment and helps pharmaceutical firms to test new antidepressants efficiently.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 198-208"},"PeriodicalIF":3.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disconnection of alpha oscillations within default mode network associated with memory dysfunction in amnestic MCI","authors":"Chun-Che Hung ,&nbsp;Fu-Jung Hsiao ,&nbsp;Pei-Ning Wang ,&nbsp;Chia-Hsiung Cheng","doi":"10.1016/j.clinph.2024.09.010","DOIUrl":"10.1016/j.clinph.2024.09.010","url":null,"abstract":"<div><h3>Objective</h3><div>Episodic memory dysfunction and alterations of functional connectivity (FC) in default mode network (DMN) were found in patients with amnestic mild cognitive impairment (aMCI). However, previous studies were limited in probing certain oscillations within the DMN. This study employed measures of resting-state FC across various oscillations within the DMN to comprehensively examine the FC and its association with episodic memory performance in aMCI.</div></div><div><h3>Methods</h3><div>Twenty-six healthy controls (HC) and 30 patients with aMCI were recruited to perform resting-state magnetoencephalographic recordings. We compared the spectral powers and peak frequency values in each frequency band and FC within the DMN between these two groups. The associations of FC values with memory performance were also examined.</div></div><div><h3>Results</h3><div>No significant between-group differences in spectral powers and peak frequency values were observed in the regional nodes. Patients with aMCI exhibited diminished alpha-band FC as compared to HC. Furthermore, lower alpha-band FC between the medial temporal cortex - and the posterior cingulate cortex/precuneus was correlated with poorer memory performance.</div></div><div><h3>Conclusions</h3><div>Aberrant DMN connectivity, particularly in the alpha frequency range, might be a neural correlate of episodic memory impairment.</div></div><div><h3>Significance</h3><div>Our results inform the potential development of brain stimulation in managing memory impairments in aMCI.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 221-228"},"PeriodicalIF":3.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}