Neurophysiologie Clinique/Clinical Neurophysiology最新文献

{"title":"Short-interval intracortical inhibition (SICI): effect of target tracking on variability of responses for 1 mV and 200µV test-alone targets","authors":"Gaia Fanella ,&nbsp;Hugh Bostock ,&nbsp;Gintaute Samusyte ,&nbsp;Anna Bystrup Jacobsen ,&nbsp;James Howells ,&nbsp;Bülent Cengiz ,&nbsp;Hasan Kılınç ,&nbsp;Martin Koltzenburg ,&nbsp;Agessandro Abrahao ,&nbsp;Lorne Zinman ,&nbsp;Benjamin Bardel ,&nbsp;Jean-Pascal Lefaucheur ,&nbsp;Lucía Del Valle ,&nbsp;José Manuel Matamala ,&nbsp;Hatice Tankisi","doi":"10.1016/j.neucli.2025.103091","DOIUrl":"10.1016/j.neucli.2025.103091","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate whether continuously tracking unconditioned thresholds for maintaining constant motor-evoked potential (MEP) amplitudes improves the variability of amplitude-based short-interval intracortical inhibition (SICI) measurements.</div></div><div><h3>Methods</h3><div>Fifty-five healthy subjects were tested twice on two days with six SICI protocols. Conditioning stimulus (CS) intensity was set to 70 % of the resting motor threshold for a 200µV target (RMT200), while test stimulus (TS) intensity targeted MEP of either 1 mV or 200µV. Protocols included conventional A-SICI (fixed CS and TS), hybrid A-SICI (fixed CS and updated TS by threshold tracking); tracked A-SICI (both CS and TS updated by threshold tracking). Variability in unconditioned and conditioned responses was analyzed across interstimulus intervals (ISIs) of 1, 2.5, and 3 ms.</div></div><div><h3>Results</h3><div>Threshold-tracking reduced variability of the unconditioned responses measured by geometric standard deviation (expressed as a factor) for 1 mV (×/÷1.61 to 1.39; <em>p</em>&lt;0.0001) and 200µV targets (×/÷2.21 to 1.30; <em>p</em>&lt;0.0001). However, variability of inhibition measures did not differ significantly across protocols. Inhibition with the 200µV MEP target was significantly less than with 1 mV across all ISIs (<em>p</em>&lt;0.001). The A-SICI 200µV tracked protocol showed reliability comparable to A-SICI fixed 1 mV, suggesting it may be a practical alternative in clinical populations where achieving a 1 mV MEP is challenging, such as in patients with severe muscle denervation.</div></div><div><h3>Conclusions</h3><div>While threshold-tracking enhances unconditioned MEP reproducibility, it does not reduce the variability of SICI, which is highly dependent on target MEP size. These findings point towards two distinct mechanisms underlying conditioned and unconditioned responses and refine understanding of SICI variability.</div></div>","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 5","pages":"Article 103091"},"PeriodicalIF":2.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The neurophysiology of aggressiveness: From adaptive behavior to pathology and deep brain stimulation","authors":"Marie des Neiges Santin","doi":"10.1016/j.neucli.2025.103090","DOIUrl":"10.1016/j.neucli.2025.103090","url":null,"abstract":"<div><h3>Objectives</h3><div>Aggressiveness is a complex social behavior that ranges from adaptive to pathological forms. This review synthesizes current knowledge of the neural circuits underlying aggression and explores how this informs neurosurgical strategies for severe, treatment-resistant cases.</div></div><div><h3>Methods</h3><div>We reviewed recent experimental and clinical studies of the anatomical, functional, and neurochemical bases of aggression, focusing on reactive and proactive subtypes. Emphasis was placed on animal models, optogenetics, and human deep brain stimulation (DBS) approaches.</div></div><div><h3>Results</h3><div>Internal states – such as hormonal status, energy balance, and prior experience – modulate the threshold for aggression. The ventrolateral part of the ventromedial nucleus of the hypothalamus (VMHvl), particularly its ERα-expressing neurons, plays a central role in triggering aggressive behavior. The core aggression circuit (CAC) includes the VMHvl, amygdala, bed nucleus of the stria terminalis, and ventral premammillary nucleus, under modulation by prefrontal inputs. Aggression is expressed through a direct VMHvl–periaqueductal gray (PAG) pathway for innate actions and an indirect, dopamine-dependent striatal pathway for learned aggression. Serotonin inhibits, while dopamine promotes, proactive aggression.</div></div><div><h3>Discussion</h3><div>Pathological impulsive aggression, often linked to neurodevelopmental disorders and intellectual disability, may become refractory to pharmacotherapy. In such cases, neurosurgical approaches targeting the Sano triangle—originally described as part of the posterior hypothalamus—have shown promise. Understanding the connectivity and functional role of this region is essential for optimizing targeted interventions. Viewing aggression as a disorder of internal state regulation within defined circuits provides a framework for ethical and effective neuromodulation.</div></div>","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 5","pages":"Article 103090"},"PeriodicalIF":2.7,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationships between arm nerve signals measured by somatosensory evoked potentials and functional testing in unilateral cerebral palsy","authors":"Guillaume Zavard ,&nbsp;Laura Routier ,&nbsp;Fabrice Wallois ,&nbsp;Jean-François Catanzariti ,&nbsp;Séverine Fritot ,&nbsp;Emeline Cailliau ,&nbsp;Laurent Béghin ,&nbsp;Laurence Gottrand","doi":"10.1016/j.neucli.2025.103089","DOIUrl":"10.1016/j.neucli.2025.103089","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 4","pages":"Article 103089"},"PeriodicalIF":2.7,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Late-onset brachial plexopathy following an implantable cardioverter defibrillator placement: Expect the unexpected","authors":"Berkay Yalçınkaya,&nbsp;Ahmet Furkan Çolak,&nbsp;Alp Çetin","doi":"10.1016/j.neucli.2025.103088","DOIUrl":"10.1016/j.neucli.2025.103088","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 4","pages":"Article 103088"},"PeriodicalIF":2.7,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144364474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The potential of OPM-based magnetoencephalography in pre-surgical evaluation of drug-resistant epilepsy","authors":"Congyan Chen ,&nbsp;Pengfei Teng ,&nbsp;Qiujian Meng ,&nbsp;Yuying Jiang ,&nbsp;Rui Li ,&nbsp;Jing Wang ,&nbsp;Jiangfen Wu ,&nbsp;Yuguang Guan ,&nbsp;Mengyang Wang ,&nbsp;Jian Zhou ,&nbsp;Tianfu Li ,&nbsp;Jingwei Sheng ,&nbsp;Jia-Hong Gao ,&nbsp;Xiongfei Wang ,&nbsp;Guoming Luan","doi":"10.1016/j.neucli.2025.103087","DOIUrl":"10.1016/j.neucli.2025.103087","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 4","pages":"Article 103087"},"PeriodicalIF":2.7,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transforming spontaneous premature neonatal EEG to spontaneous fetal MEG using a novel machine learning approach","authors":"Alban Gallard ,&nbsp;Benoit Brebion ,&nbsp;Katrin Sippel ,&nbsp;Amer Zaylaa ,&nbsp;Hubert Preissl ,&nbsp;Sahar Moghimi ,&nbsp;Yael Fregier ,&nbsp;Fabrice Wallois","doi":"10.1016/j.neucli.2025.103086","DOIUrl":"10.1016/j.neucli.2025.103086","url":null,"abstract":"<div><h3>Objectives</h3><div>The spontaneous neural activity of premature neonates has been characterized with electroencephalography (EEG). However, evaluation of normal and pathological fetal brain development is still largely unknown. Fetal magnetoencephalography (fMEG) is currently the only available technique to record fetal neural activity. Benefiting from progress in machine learning and artificial intelligence, we aimed to transfer premature EEG to fMEG, to characterize the manifestation of spontaneous activity using the knowledge obtained from premature EEG.</div></div><div><h3>Methods</h3><div>In this study, 30 high-resolution EEG recordings from premature newborns and 44 fMEG recordings were used to develop a transfer function to predict the spontaneous neural activity of the fetus. After preprocessing, bursts of spontaneous activity were detected using the non-linear energy operator. Next, we proposed a CycleGAN-based model to transform the premature EEG to fMEG and evaluated its performance with both time and frequency measurements.</div></div><div><h3>Results</h3><div>In the time domain, the values were similar for the mean square error (&lt; 5 %) and correlation (0.91 ± 0.05 and 0.89 ± 0.08) for both transformations between the original data and that generated by CycleGAN. However, considering the frequency content, the CycleGAN-based model modulated the frequency content of EEG to MEG transformed signals relative to the original signals by increasing the power, on average, in all frequency bands, except for the slow delta frequency band.</div></div><div><h3>Conclusion</h3><div>Our developed model showed promising potential to generate a priori signatures of fMEG manifestations related to spontaneous neural activity. Collectively, this study represents the first steps toward identifying neurobiomarkers of fetal brain development.</div></div>","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 5","pages":"Article 103086"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of electrode size in phrenic nerve CMAP","authors":"José Castro ,&nbsp;Miguel Oliveira Santos ,&nbsp;Mamede de Carvalho","doi":"10.1016/j.neucli.2025.103078","DOIUrl":"10.1016/j.neucli.2025.103078","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 3","pages":"Article 103078"},"PeriodicalIF":2.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The F-wave fingerprint of amyotrophic lateral sclerosis","authors":"Mamede de Carvalho","doi":"10.1016/j.neucli.2025.103080","DOIUrl":"10.1016/j.neucli.2025.103080","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 4","pages":"Article 103080"},"PeriodicalIF":2.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing repeater F waves using the compound muscle action potential scan and machine learning techniques","authors":"Xiaoyan Li ,&nbsp;Maoqi Chen ,&nbsp;Paul E. Barkhaus ,&nbsp;Sanjeev D. Nandedkar ,&nbsp;Marek Cierny ,&nbsp;Caitlin Moore ,&nbsp;Ping Zhou","doi":"10.1016/j.neucli.2025.103076","DOIUrl":"10.1016/j.neucli.2025.103076","url":null,"abstract":"<div><h3>Objectives</h3><div>The purpose of this study is to introduce a new analytical technique on repeater F waves (RFws) using compound muscle action potential (CMAP) scan and new features to differentiate the nerves innervating hand muscles.</div></div><div><h3>Methods</h3><div>Twenty-four healthy subjects participated in the CMAP scan study. Tests were performed on the abductor pollicis brevis (APB) and abductor digit minimi (ADM) muscles. RFws were extracted using unsupervised machine learning and analyzed through conventional characteristics such as amplitude, latency, indices of F repeaters and total F repeaters, as well by new variables, including relative stimulus intensity (ReSI), relative F/M ratio (RF/MR), and range of stimulation intensity (RaSI).</div></div><div><h3>Results</h3><div>Significantly higher indices of F repeaters (APB: 18.42±4.92 %, ADM: 13.58±4.68 %, <em>p</em> &lt; 0.005) and total F repeaters (APB: 34.75±7.8 %, ADM: 26.67±8.56 %, <em>p</em> &lt; 0.005) were observed in the APB compared with the ADM muscles. The ReSI (<em>Z</em> = 13.81, <em>p</em> &lt; 0.001) and RaSI (<em>Z</em>=-2.46, <em>p</em> &lt; 0.05) showed significant differences between the two muscles.</div></div><div><h3>Discussion and Conclusion</h3><div>This study provides normative data for RFws based on the CMAP scan recording and identifies different characteristics of repeaters between APB and ADM muscles. Findings of the study improve understanding of motoneuron physiological properties in hand muscles. The CMAP scan-based F wave analysis can be combined with motor unit number estimation technique to provide insights into surviving motoneuron function in neurological disorders.</div></div>","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 5","pages":"Article 103076"},"PeriodicalIF":2.7,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential electroencephalogram findings depending on type of praxis in reflex epilepsy","authors":"Ryota Sasaki ,&nbsp;Masako Kinoshita ,&nbsp;Nahomi Osugi ,&nbsp;Kentaro Tamura ,&nbsp;Kiyoshi Nagata ,&nbsp;Ichiro Nakagawa","doi":"10.1016/j.neucli.2025.103077","DOIUrl":"10.1016/j.neucli.2025.103077","url":null,"abstract":"","PeriodicalId":19134,"journal":{"name":"Neurophysiologie Clinique/Clinical Neurophysiology","volume":"55 3","pages":"Article 103077"},"PeriodicalIF":2.7,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}