Clinical Neurophysiology最新文献

Attenuated theta-band activity and cross-frequency coupling in schizophrenia during affective response inhibition. 情感反应抑制期间精神分裂症的θ波段活性减弱和交叉频率耦合。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-15 DOI: 10.1016/j.clinph.2025.2111386

Jacob D Kraft, Takakuni Suzuki, Margo W Menkes, Carolyn M Andrews, Melvin G McInnis, Patricia J Deldin, Ivy F Tso

{"title":"Attenuated theta-band activity and cross-frequency coupling in schizophrenia during affective response inhibition.","authors":"Jacob D Kraft, Takakuni Suzuki, Margo W Menkes, Carolyn M Andrews, Melvin G McInnis, Patricia J Deldin, Ivy F Tso","doi":"10.1016/j.clinph.2025.2111386","DOIUrl":"https://doi.org/10.1016/j.clinph.2025.2111386","url":null,"abstract":"<p><strong>Objective: </strong>Schizophrenia (SZ) is marked by impaired cognitive control; however, the underlying neural mechanisms remain unclear. This study examined theta-band (4-7 Hz) neural oscillatory activity and cross-frequency coupling with gamma (30-50 Hz) in an affective cognitive control paradigm in SZ in comparison with healthy controls (HC) and those with bipolar disorder (BD).</p><p><strong>Methods: </strong>Thirty-two participants with SZ, 67 with BD, and 48 HC completed an affective Go/No-Go Task with emotional face stimuli during electroencephalography recording. Time-frequency decomposition quantified theta-band power and intertrial phase consistency (ITPC) over midline fronto-central areas. Theta-gamma phase-amplitude coupling (PAC; Kullback-Leibler Modulation Index) was indexed within the midline frontal area and cross-regionally between midline frontal theta and bilateral parietal gamma.</p><p><strong>Results: </strong>Participants with SZ displayed decreased midline frontal theta power, ITPC, and local midline frontal theta-gamma PAC compared to HC, with BD falling in between SZ and HC groups across all these measures. Theta power, ITPC, and theta-gamma PAC were correlated with behavioral performance, particularly in the SZ group.</p><p><strong>Conclusion: </strong>Findings show abnormalities across the amplitude, phase consistency, and cross-frequency coordination aspects of theta-related activity when individuals with SZ engage in affective cognitive control.</p><p><strong>Significance: </strong>This study supports the assertion that SZ is associated with abnormal theta-related neural activity.</p>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"2111386"},"PeriodicalIF":3.6,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344024","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}

引用次数: 0

Progress in the combined application of Brain-Computer Interface and non-invasive brain stimulation for post-stroke motor recovery 脑机接口与无创脑刺激联合应用在脑卒中后运动恢复中的研究进展。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-12 DOI: 10.1016/j.clinph.2025.2111383

Ailipinai Yasen , Wanting Sun , Yan Gong , Guangxu Xu

{"title":"Progress in the combined application of Brain-Computer Interface and non-invasive brain stimulation for post-stroke motor recovery","authors":"Ailipinai Yasen , Wanting Sun , Yan Gong , Guangxu Xu","doi":"10.1016/j.clinph.2025.2111383","DOIUrl":"10.1016/j.clinph.2025.2111383","url":null,"abstract":"<div><div>Stroke remains one of the leading causes of disability and death among adults globally. Both Brain-Computer Interface (BCI) and Non-invasive Brain Stimulation (NIBS) have shown significant potential in facilitating motor recovery in stroke patients. The combination of BCI and NIBS enhances brain functional reorganization and accelerates motor recovery post-stroke through a real-time feedback mechanism. By modulating neural plasticity, this combined approach can alter the trajectory of motor recovery, offering a novel therapeutic avenue for stroke rehabilitation. This review examines the application and recent advancements of BCI integrated with NIBS in motor function rehabilitation for stroke patients. Specifically, it outlines the advantages and challenges of this combined approach, including the use of TMS, tDCS, tACS, and other emerging neurostimulation technologies. While the integration of BCI and NIBS is still in the early stages of exploration, a unified, standardized protocol has yet to be established. Future research should focus on optimizing multimodal integration, investigating the underlying neuroplasticity mechanisms, and evaluating the long-term efficacy of BCI combined with NIBS.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111383"},"PeriodicalIF":3.6,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145312555","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}

引用次数: 0

Abnormal mu rhythm state-related cortical and corticospinal responses in chronic stroke 慢性脑卒中中异常mu节律状态相关的皮层和皮质脊髓反应。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-12 DOI: 10.1016/j.clinph.2025.2111385

Miles Wischnewski , Zachary J. Haigh , Taylor A. Berger , Jonna Rotteveel , Tessa van Oijen , Nipun D. Perera , Sina Shirinpour , Ivan Alekseichuk , Rachel L. Hawe , Alexander Opitz

{"title":"Abnormal mu rhythm state-related cortical and corticospinal responses in chronic stroke","authors":"Miles Wischnewski , Zachary J. Haigh , Taylor A. Berger , Jonna Rotteveel , Tessa van Oijen , Nipun D. Perera , Sina Shirinpour , Ivan Alekseichuk , Rachel L. Hawe , Alexander Opitz","doi":"10.1016/j.clinph.2025.2111385","DOIUrl":"10.1016/j.clinph.2025.2111385","url":null,"abstract":"<div><h3>Objective</h3><div>The motor cortex’s activity is state-dependent. Specifically, the sensorimotor mu rhythm phase relates to the variability of primary motor cortex (M1) excitability, previously demonstrated in young and healthy volunteers. It is unknown whether this observation is generalizable to individuals with stroke-related brain lesions.</div></div><div><h3>Methods</h3><div>We investigated the phase relationship between mu oscillations and cortical excitability by combining real-time processing of electroencephalography (EEG) and transcranial magnetic stimulation (TMS) of M1. In N = 23 volunteers (chronic stroke survivors and healthy controls), we applied TMS to M1 at four phases of the mu oscillation. We investigated motor-evoked (MEP) and TMS-evoked potential (TEP) amplitudes.</div></div><div><h3>Results</h3><div>MEP amplitude in stroke survivors and older volunteers showed a phase-dependency with increased MEPs at the trough and decreased MEPs at the peak of the mu rhythm. However, individuals with stronger stroke-related motor symptoms showed a decreased phase preference. Phase-dependency of TEPs was reduced in the stroke-affected hemisphere, compared to the non-affected hemisphere. In healthy volunteers, no hemispheric difference was found.</div></div><div><h3>Conclusion</h3><div>Our preliminary results indicate that the strength of phase preference of TMS motor responses could indicate the severity of motor impairment.</div></div><div><h3>Significance</h3><div>These results could enable the development of improved TMS paradigms for recovery of motor impairment after stroke.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111385"},"PeriodicalIF":3.6,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145307162","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}

引用次数: 0

Neurophysiological evaluation of third window syndrome. 第三窗综合征的神经生理学评价。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-11 DOI: 10.1016/j.clinph.2025.2111375

Eleftherios S Papathanasiou

引用次数: 0

Enhanced cortical facilitation after intermittent theta burst stimulation with increased stimulation intensity 随着刺激强度的增加，间歇性θ波爆发刺激后皮层易化性增强。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-11 DOI: 10.1016/j.clinph.2025.2111382

Francisco Benavides , Robert Chen , Hang Jin Jo

{"title":"Enhanced cortical facilitation after intermittent theta burst stimulation with increased stimulation intensity","authors":"Francisco Benavides , Robert Chen , Hang Jin Jo","doi":"10.1016/j.clinph.2025.2111382","DOIUrl":"10.1016/j.clinph.2025.2111382","url":null,"abstract":"<div><h3>Objective</h3><div>Intermittent theta burst stimulation (iTBS) can modulate the neuronal activity in the primary motor cortex. However, the responsiveness to the protocol shows high inter-individual variability which remains not fully understood. This study investigated whether responsiveness to iTBS depends on stimulation intensity.</div></div><div><h3>Methods</h3><div>We conducted a sham-controlled, single-blinded experiment. Sixteen healthy volunteers participated in three sessions: iTBS at 80% of the active motor threshold (80%AMT), iTBS at 80% of the resting motor threshold (80%RMT), and a sham iTBS. Stimulation was applied to the hand representation of the primary motor cortex. The aftereffects of iTBS were assessed by changes in the amplitude of motor evoked potentials (MEPs) measured in posterior-anterior (PA) and anterior-posterior (AP) coil orientations to understand if there is differential effect in cortical networks.</div></div><div><h3>Results</h3><div>Our results showed significant facilitation of both PA and AP MEPs following iTBS at 80%RMT but not after iTBS at 80%AMT or sham stimulation. Additionally, the number of responders was greater following iTBS at 80%RMT compared to iTBS at 80%AMT.</div></div><div><h3>Conclusions</h3><div>Our results suggest that higher intensity iTBS may more effectively increase cortical excitability.</div></div><div><h3>Significance</h3><div>This finding has the potential to improve the efficacy of various iTBS applications and facilitate their clinical application.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111382"},"PeriodicalIF":3.6,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318225","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}

引用次数: 0

When continuity on EEG does not herald good prognosis after cardiac arrest 当脑电图连续性不能预示心脏骤停后预后良好时。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-10 DOI: 10.1016/j.clinph.2025.2111379

Gregory Lepeu, Andrea O. Rossetti

引用次数: 0

EEG is better when cleaning effectively targets artifacts 当清洗有效地针对伪影时，EEG效果更好。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-10 DOI: 10.1016/j.clinph.2025.2111378

Neil W. Bailey , Aron T. Hill , Kate Godfrey , M. Prabhavi N. Perera , Nigel C. Rogasch , Bernadette M. Fitzgibbon , Paul B. Fitzgerald

{"title":"EEG is better when cleaning effectively targets artifacts","authors":"Neil W. Bailey , Aron T. Hill , Kate Godfrey , M. Prabhavi N. Perera , Nigel C. Rogasch , Bernadette M. Fitzgibbon , Paul B. Fitzgerald","doi":"10.1016/j.clinph.2025.2111378","DOIUrl":"10.1016/j.clinph.2025.2111378","url":null,"abstract":"<div><h3>Objective</h3><div>Electroencephalography (EEG) data are contaminated by a range of non-neural artifacts. The confounding influence of artifacts is often addressed by using independent component analysis (ICA) to decompose data into components, subtracting artifactual components, then reconstructing data into the electrode space. Due to imperfect component separation, this common approach can remove neural signals as well as artifacts. Here, we demonstrate the counterintuitive finding that this can artificially inflate event-related potential and connectivity effect sizes and bias source localisation estimates, while also removing neural signals.</div></div><div><h3>Methods</h3><div>We developed a novel method that targets cleaning to artifact periods of eye movement components and artifact frequencies of muscle components, and tested our method across different EEG systems and cognitive tasks.</div></div><div><h3>Results</h3><div>Our targeted artifact reduction method was effective in cleaning artifacts while also reducing the artificial inflation of effect sizes and minimizing source localisation biases.</div></div><div><h3>Conclusions</h3><div>EEG pre-processing of Go/No-go and N400 task data is better when targeted cleaning is applied, which better preserves neural signals and mitigates effect size inflation and source localisation biases that result from subtracting artifact components.</div></div><div><h3>Significance</h3><div>These improvements enhance the reliability and validity of EEG analyses. Our method is provided in the RELAX pipeline, which is freely available as an EEGLAB plugin (<span><span>https://github.com/NeilwBailey/RELAX</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111378"},"PeriodicalIF":3.6,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145298932","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}

引用次数: 0

Strength decline after 72 h of hand immobilization is driven by impaired neural drive with no alterations in muscle contractility 手部固定72小时后的力量下降是由神经驱动受损引起的，而肌肉收缩性没有改变。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-10 DOI: 10.1016/j.clinph.2025.2111380

Lasse Jespersen, Johannes Nyled Madsen, August Lomholt Nielsen, Jonas Rud Bjørndal, Jesper Lundbye-Jensen

{"title":"Strength decline after 72 h of hand immobilization is driven by impaired neural drive with no alterations in muscle contractility","authors":"Lasse Jespersen, Johannes Nyled Madsen, August Lomholt Nielsen, Jonas Rud Bjørndal, Jesper Lundbye-Jensen","doi":"10.1016/j.clinph.2025.2111380","DOIUrl":"10.1016/j.clinph.2025.2111380","url":null,"abstract":"<div><h3>Objective</h3><div>Although the effects of long-term immobilization on muscle function are well documented, the neuromuscular consequences of short-term disuse, particularly in the upper limbs, remain poorly understood. This study investigated the impact of 72 h of hand immobilization on muscle strength and the underlying neuromuscular mechanisms.</div></div><div><h3>Methods</h3><div>Twenty-eight participants were assigned to either an immobilization group (n = 14), who underwent 72 h of and hand immobilization followed by a 7-day recovery period, or a control group (n = 14). Maximal voluntary contraction, voluntary activation, first dorsal interosseous electromyographic activity, and electrically evoked contractile properties were assessed before, immediately after, and seven days post-immobilization.</div></div><div><h3>Results</h3><div>Immobilization resulted in significant reductions in muscle strength, which persisted after one week of recovery. The strength decline was accompanied by significant reductions in voluntary activation and electromyographic activity, whereas the contractile properties of the muscles remained unchanged.</div></div><div><h3>Conclusions</h3><div>The findings demonstrate that short-term upper-limb immobilization induces rapid and sustained strength loss, primarily driven by diminished neural drive rather than alterations in muscle contractility.</div></div><div><h3>Significance</h3><div>The results emphasize the importance of preserving neural function during brief periods of disuse and highlight the utility of short-term upper-limb immobilization protocols for studying the central mechanisms of strength loss.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111380"},"PeriodicalIF":3.6,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145312543","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}

引用次数: 0

Timing-dependent synergies between noninvasive motor cortex and spinal cord stimulation in chronic cervical spinal cord injury 非侵入性运动皮层和脊髓刺激在慢性颈脊髓损伤中的时间依赖性协同作用。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-10 DOI: 10.1016/j.clinph.2025.2111372

Lynda M. Murray , James R. McIntosh , Jacob A. Goldsmith , Yu-Kuang Wu , Mingxiao Liu , Sean P. Sanford , Evan F. Joiner , Christopher Mandigo , Vishweshwar Tyagi , Michael S. Virk , Jason B. Carmel , Noam Y. Harel

{"title":"Timing-dependent synergies between noninvasive motor cortex and spinal cord stimulation in chronic cervical spinal cord injury","authors":"Lynda M. Murray , James R. McIntosh , Jacob A. Goldsmith , Yu-Kuang Wu , Mingxiao Liu , Sean P. Sanford , Evan F. Joiner , Christopher Mandigo , Vishweshwar Tyagi , Michael S. Virk , Jason B. Carmel , Noam Y. Harel","doi":"10.1016/j.clinph.2025.2111372","DOIUrl":"10.1016/j.clinph.2025.2111372","url":null,"abstract":"<div><h3>Objective</h3><div>Spinal cord sensory networks strongly interact with descending motor circuits. We targeted this interaction by pairing motor cortex stimulation with coordinated cervical spinal cord stimulation. Using separate non-invasive and epidural experiments, we tested the hypothesis that the strongest muscle response would occur when paired brain and spinal cord stimuli simultaneously converge within the spinal cord. <u>Methods</u>: For non-invasive experiments, we measured motor evoked potentials in response to transcranial magnetic stimulation (TMS) and transcutaneous spinal cord stimulation (TSCS). We compared this noninvasive approach to intraoperative paired stimulation experiments using dorsal epidural electrodes in individuals undergoing surgery for cervical myelopathy. <u>Results</u>: In 16 individuals with chronic spinal cord injury (SCI) and 15 uninjured individuals, suprathreshold TMS augmented target muscle responses (11.0%) when subthreshold TSCS stimuli converged synchronously in the spinal cord. Facilitation correlated with TSCS intensity. Facilitation did not correlate with SCI level or severity, indicating spared circuits were sufficient for this effect. Noninvasive pairing produced less facilitation compared to intraoperative (epidural) pairing. <u>Conclusions</u>: Sensorimotor interactions in the cervical spinal cord can be targeted with paired stimulation in individuals with and without SCI. <u>Significance</u>: Properly timed paired stimulation may enhance synaptic responsiveness after SCI.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111372"},"PeriodicalIF":3.6,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145312546","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}

引用次数: 0

Classification of magnetoencephalographic independent components in epilepsy by machine learning 机器学习对癫痫脑磁图独立成分的分类。

IF 3.6 3区医学

Clinical Neurophysiology Pub Date : 2025-10-09 DOI: 10.1016/j.clinph.2025.2111377

Aurore Semeux-Bernier , Francesca Bonini , Samuel Medina Villalon , Maria Fratello , Matthieu Kowalski , Jean-Michel Badier , Frédéric Richard , Christian-George Bénar

{"title":"Classification of magnetoencephalographic independent components in epilepsy by machine learning","authors":"Aurore Semeux-Bernier , Francesca Bonini , Samuel Medina Villalon , Maria Fratello , Matthieu Kowalski , Jean-Michel Badier , Frédéric Richard , Christian-George Bénar","doi":"10.1016/j.clinph.2025.2111377","DOIUrl":"10.1016/j.clinph.2025.2111377","url":null,"abstract":"<div><h3>Objective</h3><div>Magnetoencephalography (MEG) provides valuable information for the pre-surgical assessment of patients with drug-resistant focal epilepsy, but analysis is time-consuming and subjective. Our objective was to combine Independent Component Analysis (ICA) and machine learning to ease interpretation of MEG signals.</div></div><div><h3>Methods</h3><div>We recorded 41 patients. Machine learning models were trained to classify independent components based on a set of 61 predefined features. In a first model, based on random forest (RF), we classified artifact components versus all others. In a second model, based on RF and logistic regression, we classified 4 classes (heart, noise, epileptic, physiological (i.e. normal brain activity)).</div></div><div><h3>Results</h3><div>With the first model <del>1</del>, we obtained F1-score and balanced accuracy above 0.9. With the second model, balanced accuracy was above 0.8. Classification of epileptic component was above chance level, but with a moderate F1 score around 0.5 – with large variability across patients. Our analysis highlighted features based on spectrum, dipolarity, connectivity, kurtosis, regularity, as well as difficulties regarding spike detection.</div></div><div><h3>Conclusion</h3><div>Artifact classification can be performed efficiently with a combination of ICA and random forest. Distinguishing epileptic from physiological activity is more difficult, although some features show promise as biomarkers.</div></div><div><h3>Significance</h3><div>Our study demonstrates both the potential and the technical limitations of ICA classification of epileptic and artifactual components.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111377"},"PeriodicalIF":3.6,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145312558","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}

引用次数: 0