Frontiers in Systems Neuroscience最新文献

{"title":"Editorial: Neuromodulation by digital and analog drugs in consciousness research.","authors":"Darren F Hight, Anthony G Hudetz, Axel Hutt","doi":"10.3389/fnsys.2023.1238151","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1238151","url":null,"abstract":"COPYRIGHT © 2023 Hight, Hudetz and Hutt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Neuromodulation by digital and analog drugs in consciousness research","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1238151"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335393/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9817130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: FABP7: a glial integrator of sleep, circadian rhythms, plasticity, and metabolic function.","authors":"","doi":"10.3389/fnsys.2023.1258687","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1258687","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnsys.2023.1212213.].</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1258687"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10389835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Making the world behave: A new embodied account on mobile paradigm.","authors":"Umay Sen,&nbsp;Gustaf Gredebäck","doi":"10.3389/fnsys.2023.1134410","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1134410","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnsys.2021.643526.].</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1134410"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990461/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9451679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Testing EEG functional connectivity between sensorimotor and face processing visual regions in individuals with congenital facial palsy.","authors":"Thomas Quettier,&nbsp;Antonio Maffei,&nbsp;Filippo Gambarota,&nbsp;Pier Francesco Ferrari,&nbsp;Paola Sessa","doi":"10.3389/fnsys.2023.1123221","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1123221","url":null,"abstract":"<p><p>Moebius syndrome (MBS) is characterized by the congenital absence or underdevelopment of cranial nerves VII and VI, leading to facial palsy and impaired lateral eye movements. As a result, MBS individuals cannot produce facial expressions and did not develop motor programs for facial expressions. In the latest model of sensorimotor simulation, an iterative communication between somatosensory, motor/premotor cortices, and visual regions has been proposed, which should allow more efficient discriminations among subtle facial expressions. Accordingly, individuals with congenital facial motor disability, specifically with MBS, should exhibit atypical communication within this network. Here, we aimed to test this facet of the sensorimotor simulation models. We estimated the functional connectivity between the visual cortices for face processing and the sensorimotor cortices in healthy and MBS individuals. To this aim, we studied the strength of beta band functional connectivity between these two systems using high-density EEG, combined with a change detection task with facial expressions (and a control condition involving non-face stimuli). The results supported our hypothesis such that when discriminating subtle facial expressions, participants affected by congenital facial palsy (compared to healthy controls) showed reduced connectivity strength between sensorimotor regions and visual regions for face processing. This effect was absent for the condition with non-face stimuli. These findings support sensorimotor simulation models and the communication between sensorimotor and visual areas during subtle facial expression processing.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1123221"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196055/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9509108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Image discrimination reversal learning is impaired by sleep deprivation in rats: Cognitive rigidity or fatigue?","authors":"Brian K Strobel,&nbsp;Michelle A Schmidt,&nbsp;Daniel O Harvey,&nbsp;Christopher J Davis","doi":"10.3389/fnsys.2023.1141071","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1141071","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnsys.2022.1052441.].</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1141071"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908438/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10695762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circadian disruption of memory consolidation in <i>Drosophila</i>.","authors":"Jerry C P Yin,&nbsp;Ethan Cui,&nbsp;Paul E Hardin,&nbsp;Hong Zhou","doi":"10.3389/fnsys.2023.1129152","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1129152","url":null,"abstract":"<p><p>The role of the circadian system in memory formation is an important question in neurobiology. Despite this hypothesis being intuitively appealing, the existing data is confusing. Recent work in <i>Drosophila</i> has helped to clarify certain aspects of the problem, but the emerging sense is that the likely mechanisms are more complex than originally conceptualized. In this report, we identify a post-training window of time (during consolidation) when the circadian clock and its components are involved in memory formation. In the broader context, our data suggest that circadian biology might have multiple roles during memory formation. Testing for its roles at multiple timepoints, and in different cells, will be necessary to resolve some of the conflicting data.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1129152"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9273554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endocytosis is required for consolidation of pattern-separated memories in the perirhinal cortex.","authors":"Dinka Piromalli Girado,&nbsp;Magdalena Miranda,&nbsp;Marcelo Giachero,&nbsp;Noelia Weisstaub,&nbsp;Pedro Bekinschtein","doi":"10.3389/fnsys.2023.1043664","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1043664","url":null,"abstract":"<p><strong>Introduction: </strong>The ability to separate similar experiences into differentiated representations is proposed to be based on a computational process called pattern separation, and it is one of the key characteristics of episodic memory. Although pattern separation has been mainly studied in the dentate gyrus of the hippocampus, this cognitive function if thought to take place also in other regions of the brain. The perirhinal cortex is important for the acquisition and storage of object memories, and in particular for object memory differentiation. The present study was devoted to investigating the importance of the cellular mechanism of endocytosis for object memory differentiation in the perirhinal cortex and its association with brain-derived neurotrophic factor, which was previously shown to be critical for the pattern separation mechanism in this structure.</p><p><strong>Methods: </strong>We used a modified version of the object recognition memory task and intracerebral delivery of a peptide (Tat-P4) into the perirhinal cortex to block endocytosis.</p><p><strong>Results: </strong>We found that endocytosis is necessary for pattern separation in the perirhinal cortex. We also provide evidence from a molecular disconnection experiment that BDNF and endocytosis-related mechanisms interact for memory discrimination in both male and female rats.</p><p><strong>Discussion: </strong>Our experiments suggest that BDNF and endocytosis are essential for consolidation of separate object memories and a part of a time-restricted, protein synthesis-dependent mechanism of memory stabilization in Prh during storage of object representations.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1043664"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9103059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Unravelling the complex and multifaceted role of the cerebellum in health and disease.","authors":"Paul James Mathews,&nbsp;Anne-Lise Paradis,&nbsp;Marija Cvetanovic,&nbsp;Erik Sean Carlson,&nbsp;Krystal Lynn Parker","doi":"10.3389/fnsys.2023.1155939","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1155939","url":null,"abstract":"COPYRIGHT © 2023 Mathews, Paradis, Cvetanovic, Carlson and Parker. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Unravelling the complex and multifaceted role of the cerebellum in health and disease","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1155939"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9429457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cortical processing during robot and functional electrical stimulation.","authors":"Woosang Cho,&nbsp;Carmen Vidaurre,&nbsp;Jinung An,&nbsp;Niels Birbaumer,&nbsp;Ander Ramos-Murguialday","doi":"10.3389/fnsys.2023.1045396","DOIUrl":"https://doi.org/10.3389/fnsys.2023.1045396","url":null,"abstract":"<p><strong>Introduction: </strong>Like alpha rhythm, the somatosensory mu rhythm is suppressed in the presence of somatosensory inputs by implying cortical excitation. Sensorimotor rhythm (SMR) can be classified into two oscillatory frequency components: mu rhythm (8-13 Hz) and beta rhythm (14-25 Hz). The suppressed/enhanced SMR is a neural correlate of cortical activation related to efferent and afferent movement information. Therefore, it would be necessary to understand cortical information processing in diverse movement situations for clinical applications.</p><p><strong>Methods: </strong>In this work, the EEG of 10 healthy volunteers was recorded while fingers were moved passively under different kinetic and kinematic conditions for proprioceptive stimulation. For the kinetics aspect, afferent brain activity (no simultaneous volition) was compared under two conditions of finger extension: (1) generated by an orthosis and (2) generated by the orthosis simultaneously combined and assisted with functional electrical stimulation (FES) applied at the forearm muscles related to finger extension. For the kinematic aspect, the finger extension was divided into two phases: (1) dynamic extension and (2) static extension (holding the extended position).</p><p><strong>Results: </strong>In the kinematic aspect, both mu and beta rhythms were more suppressed during a dynamic than a static condition. However, only the mu rhythm showed a significant difference between kinetic conditions (with and without FES) affected by attention to proprioception after transitioning from dynamic to static state, but the beta rhythm was not.</p><p><strong>Discussion: </strong>Our results indicate that mu rhythm was influenced considerably by muscle kinetics during finger movement produced by external devices, which has relevant implications for the design of neuromodulation and neurorehabilitation interventions.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"1045396"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9271372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder.","authors":"Elias Ebrahimzadeh,&nbsp;Farahnaz Fayaz,&nbsp;Lila Rajabion,&nbsp;Masoud Seraji,&nbsp;Fatemeh Aflaki,&nbsp;Ahmad Hammoud,&nbsp;Zahra Taghizadeh,&nbsp;Mostafa Asgarinejad,&nbsp;Hamid Soltanian-Zadeh","doi":"10.3389/fnsys.2023.919977","DOIUrl":"https://doi.org/10.3389/fnsys.2023.919977","url":null,"abstract":"<p><p>Predicting the therapeutic result of repetitive transcranial magnetic stimulation (rTMS) treatment could save time and costs as ineffective treatment can be avoided. To this end, we presented a machine-learning-based strategy for classifying patients with major depression disorder (MDD) into responders (R) and nonresponders (NR) to rTMS treatment. Resting state EEG data were recorded using 32 electrodes from 88 MDD patients before treatment. Then, patients underwent 7 weeks of rTMS, and 46 of them responded to treatment. By applying Independent Component Analysis (ICA) on EEG, we identified the relevant brain sources as possible indicators of neural activity in the dorsolateral prefrontal cortex (DLPFC). This was served through estimating the generators of activity in the sensor domain. Subsequently, we added physiological information and placed certain terms and conditions to offer a far more realistic estimation than the classic EEG. Ultimately, those components mapped in accordance with the region of the DLPFC in the sensor domain were chosen. Features extracted from the relevant ICs time series included permutation entropy (PE), fractal dimension (FD), Lempel-Ziv Complexity (LZC), power spectral density, correlation dimension (CD), features based on bispectrum, frontal and prefrontal cordance, and a combination of them. The most relevant features were selected by a Genetic Algorithm (GA). For classifying two groups of R and NR, K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Multilayer Perceptron (MLP) were applied to predict rTMS treatment response. To evaluate the performance of classifiers, a 10-fold cross-validation method was employed. A statistical test was used to assess the capability of features in differentiating R and NR for further research. EEG characteristics that can predict rTMS treatment response were discovered. The strongest discriminative indicators were EEG beta power, the sum of bispectrum diagonal elements in delta and beta bands, and CD. The Combined feature vector classified R and NR with a high performance of 94.31% accuracy, 92.85% specificity, 95.65% sensitivity, and 92.85% precision using SVM. This result indicates that our proposed method with power and nonlinear and bispectral features from relevant ICs time-series can predict the treatment outcome of rTMS for MDD patients only by one session pretreatment EEG recording. The obtained results show that the proposed method outperforms previous methods.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"17 ","pages":"919977"},"PeriodicalIF":3.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9560078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}