Network Neuroscience最新文献_第8页

Weak coupling of neurons enables very high-frequency and ultra-fast oscillations through the interplay of synchronized phase-shifts 通过同步相移的相互作用，神经元的弱耦合实现了极高频率和超快速振荡

IF 4.7 3区医学

Network Neuroscience Pub Date : 2023-12-05 DOI: 10.1162/netn_a_00351

Lenka Přibylová, Jan Ševčík, V. Eclerová, Petr Klimeš, M. Brázdil, Hil Meijer

{"title":"Weak coupling of neurons enables very high-frequency and ultra-fast oscillations through the interplay of synchronized phase-shifts","authors":"Lenka Přibylová, Jan Ševčík, V. Eclerová, Petr Klimeš, M. Brázdil, Hil Meijer","doi":"10.1162/netn_a_00351","DOIUrl":"https://doi.org/10.1162/netn_a_00351","url":null,"abstract":"\u0000 Recently, in the past decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) were reported in epileptic patients with drug-resistant epilepsy. However, to this day, the physiological origin of these events has yet to be understood. Our study establishes a mathematical framework based on bifurcation theory for investigating the occurrence of VHFOs and UFOs in depth EEG signals of patients with focal epilepsy, focusing on the potential role of reduced connection strength between neurons in an epileptic focus. We demonstrate that synchronization of a weakly coupled network can generate very and ultra high-frequency signals detectable by nearby microelectrodes. In particular, we show that a bistability region enables the persistence of phase-shift synchronized clusters of neurons. This phenomenon is observed for different hippocampal neuron models, including Morris-Lecar, Destexhe-Paré, and an interneuron model. The mechanism seems to be robust for small coupling, and it also persists with random noise affecting the external current. Our findings suggest that weakened neuronal connections could contribute to the production of oscillations with frequencies above 1000Hz, which could advance our understanding of epilepsy pathology and potentially improve treatment strategies. However, further exploration of various coupling types and complex network models is needed.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"124 18","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138599478","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

Reconstructing brain functional networks through identifiability and Deep Learning 通过可识别性和深度学习重建大脑功能网络

IF 4.7 3区医学

Network Neuroscience Pub Date : 2023-12-05 DOI: 10.1162/netn_a_00353

Massimiliano Zanin, Tuba Aktürk, E. Yıldırım, D. Yerlikaya, G. Yener, B. Güntekin

{"title":"Reconstructing brain functional networks through identifiability and Deep Learning","authors":"Massimiliano Zanin, Tuba Aktürk, E. Yıldırım, D. Yerlikaya, G. Yener, B. Güntekin","doi":"10.1162/netn_a_00353","DOIUrl":"https://doi.org/10.1162/netn_a_00353","url":null,"abstract":"\u0000 We propose a novel approach for the reconstruction of functional networks representing brain dynamics based on the idea that the co-participation of two brain regions in a common cognitive task should result in a drop in their identifiability, or in the uniqueness of their dynamics. This identifiability is estimated through the score obtained by Deep Learning models in supervised classification tasks; and therefore requires no a priori assumptions about the nature of such co-participation. The method is tested on EEG recordings obtained from Alzheimer‘s and Parkinson‘s Disease patients, and matched healthy volunteers, for eyes-open and eyes-closed resting state conditions; and the resulting functional networks are analysed through standard topological metrics. Both groups of patients are characterised by a reduction in the identifiability of the corresponding EEG signals, and by differences in the patterns that support such identifiability. Resulting functional networks are similar, but not identical to those reconstructed by using a correlation metric. Differences between control subjects and patients can be observed in network metrics like the clustering coefficient and the assortativity, in different frequency bands. Differences are also observed between eyes-open and closed conditions, especially for Parkinson‘s Disease patients.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"85 22","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600257","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

Elevating Understanding: Linking High-Altitude Hypoxia to Brain Aging Through EEG Functional Connectivity and Spectral Analyses 提升理解力：通过脑电图功能连接性和频谱分析将高海拔缺氧与脑衰老联系起来

IF 4.7 3区医学

Network Neuroscience Pub Date : 2023-12-05 DOI: 10.1162/netn_a_00352

Carlos Coronel-Oliveros, Vicente Medel, Grace A Whitaker, Aland Astudillo, David Gallagher, Lucía Zepeda-Rivero, Pavel Prado, W. El-Deredy, P. Orio, Alejandro Weinstein

{"title":"Elevating Understanding: Linking High-Altitude Hypoxia to Brain Aging\u0000 Through EEG Functional Connectivity and Spectral Analyses","authors":"Carlos Coronel-Oliveros, Vicente Medel, Grace A Whitaker, Aland Astudillo, David Gallagher, Lucía Zepeda-Rivero, Pavel Prado, W. El-Deredy, P. Orio, Alejandro Weinstein","doi":"10.1162/netn_a_00352","DOIUrl":"https://doi.org/10.1162/netn_a_00352","url":null,"abstract":"High-altitude hypoxia triggers brain function changes reminiscent of those in healthy aging and Alzheimer's disease, compromising cognition and executive functions. Our study sought to validate high-altitude hypoxia as a model for assessing brain activity disruptions akin to aging. We collected EEG data from sixteen healthy volunteers during acute high-altitude hypoxia (at 4000 masl) and at sea-level, focusing on relative changes in power and aperiodic slope of the EEG spectrum due to hypoxia. Additionally, we examined functional connectivity using wPLI, and functional segregation and integration in using graph theory tools. High altitude led to slower brain oscillations, i.e., increased δ and reduced α power, and flattened the 1/f aperiodic slope, indicating higher electrophysiological noise, akin to healthy aging. Notably, functional integration strengthened in the θ band, exhibiting unique topographical patterns at the subnetwork level, including increased frontocentral and reduced occipitoparietal integration. Moreover, we discovered significant correlations between subjects' age, 1/f slope, θ band integration, and observed robust effects of hypoxia after adjusting for age. Our findings shed light on how reduced oxygen levels at high-altitudes influence brain activity patterns resembling those in neurodegenerative disorders and aging, making high-altitude hypoxia a promising model for comprehending the brain in health and disease.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"74 5","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600143","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

Zona incerta modulation of the inferior olive and the pontine nuclei 下橄榄核和桥脑核的内上区调节作用

IF 4.7 3区医学

Network Neuroscience Pub Date : 2023-11-16 DOI: 10.1162/netn_a_00350

Ramakrishnan Bhuvanasundaram, Samantha Washburn, Joanna Krzyspiak, K. Khodakhah

{"title":"Zona incerta modulation of the inferior olive and the pontine nuclei","authors":"Ramakrishnan Bhuvanasundaram, Samantha Washburn, Joanna Krzyspiak, K. Khodakhah","doi":"10.1162/netn_a_00350","DOIUrl":"https://doi.org/10.1162/netn_a_00350","url":null,"abstract":"The zona incerta (ZI) is a subthalamic structure that has been implicated in locomotion, fear, and anxiety. Recently interest has grown in its therapeutic efficacy in deep brain stimulation (DBS) in movement disorders. This efficacy might be due to the ZI’s functional projections to the other brain regions. Notwithstanding some evidence of anatomical connections between the ZI and the inferior olive (IO) and the pontine nuclei (PN), how the ZI modulates the neuronal activity in these regions remains to be determined. We first tested this by monitoring responses of single neurons in the PN and IO to optogenetic activation of channelrhodopsin-expressing ZI axons in wild-type mice, using an in vivo awake preparation. Stimulation of short, single pulses and trains of stimuli at 20 Hz elicited rapid responses in the majority of recorded cells in the PN and IO. Furthermore, the excitatory response of PN neurons scaled with the strength of ZI activation. Next, we used in vitro electrophysiology to study synaptic transmission at ZI-IO synapses. Optogenetic activation of ZI axons evoked a strong excitatory post-synaptic response in IO neurons, which remained robust with repeated stimulation at 20 Hz. Overall, our results demonstrate a functional connection within ZI-PN and ZI-IO pathways.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266668","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

Towards stability of dynamic FC estimates in neuroimaging and electrophysiology: solutions and limits 神经成像和电生理学中动态FC估计的稳定性:解决方案和限制

3区医学

Network Neuroscience Pub Date : 2023-11-06 DOI: 10.1162/netn_a_00331

Sonsoles Alonso, Diego Vidaurre

引用次数: 0

3区医学

Network Neuroscience Pub Date : 2023-11-06 DOI: 10.1162/netn_a_00333

S. Faber, A. G. Belden, P. Loui, A. R. McIntosh

{"title":"Age-related variability in network engagement during music listening","authors":"S. Faber, A. G. Belden, P. Loui, A. R. McIntosh","doi":"10.1162/netn_a_00333","DOIUrl":"https://doi.org/10.1162/netn_a_00333","url":null,"abstract":"Abstract Listening to music is an enjoyable behaviour that engages multiple networks of brain regions. As such, the act of music listening may offer a way to interrogate network activity, and to examine the reconfigurations of brain networks that have been observed in healthy aging. The present study is an exploratory examination of brain network dynamics during music listening in healthy older and younger adults. Network measures were extracted and analyzed together with behavioural data using a combination of hidden Markov modelling and partial least squares. We found age- and preference-related differences in fMRI data collected during music listening in healthy younger and older adults. Both age groups showed higher occupancy (the proportion of time a network was active) in a temporal-mesolimbic network while listening to self-selected music. Activity in this network was strongly positively correlated with liking and familiarity ratings in younger adults, but less so in older adults. Additionally, older adults showed a higher degree of correlation between liking and familiarity ratings consistent with past behavioural work on age-related dedifferentiation. We conclude that, while older adults do show network and behaviour patterns consistent with dedifferentiation, activity in the temporal-mesolimbic network is relatively robust to dedifferentiation. These findings may help explain how music listening remains meaningful and rewarding in old age.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"38 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135584120","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

Linking fast and slow: the case for generative models 链接快与慢:生成模型的案例

3区医学

Network Neuroscience Pub Date : 2023-11-01 DOI: 10.1162/netn_a_00343

Johan Medrano, Karl Friston, Peter Zeidman

{"title":"Linking fast and slow: the case for generative models","authors":"Johan Medrano, Karl Friston, Peter Zeidman","doi":"10.1162/netn_a_00343","DOIUrl":"https://doi.org/10.1162/netn_a_00343","url":null,"abstract":"Abstract A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent hardware innovations and falling data storage costs enable longer, more naturalistic neuronal recordings. The implicit opportunity for understanding the self-organised brain calls for new analysis methods that link temporal scales: from the order of milliseconds over which neuronal dynamics evolve, to the order of minutes, days or even years over which experimental observations unfold. This review article demonstrates how hierarchical generative models and Bayesian inference help to characterise neuronal activity across different time scales. Crucially, these methods go beyond describing statistical associations among observations and enable inference about underlying mechanisms. We offer an overview of fundamental concepts in state-space modeling and suggest a taxonomy for these methods. Additionally, we introduce key mathematical principles that underscore a separation of temporal scales, such as the slaving principle, and review Bayesian methods that are being used to test hypotheses about the brain with multi-scale data. We hope that this review will serve as a useful primer for experimental and computational neuroscientists on the state of the art and current directions of travel in the complex systems modelling literature.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"142 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270946","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: 1

NBS-SNI, an extension of the Network-based statistic: Abnormal functional connections between important structural actors NBS-SNI是基于网络的统计的扩展:重要结构参与者之间的异常功能连接

3区医学

Network Neuroscience Pub Date : 2023-11-01 DOI: 10.1162/netn_a_00344

Francis Normand, Mehul Gajwani, Daniel C. Côté, Antoine Allard

{"title":"NBS-SNI, an extension of the Network-based statistic: Abnormal functional connections between important structural actors","authors":"Francis Normand, Mehul Gajwani, Daniel C. Côté, Antoine Allard","doi":"10.1162/netn_a_00344","DOIUrl":"https://doi.org/10.1162/netn_a_00344","url":null,"abstract":"Abstract Elucidating the coupling between the structure and the function of the brain and its development across maturation has attracted a lot of interest in the field of network neuroscience in the last fifteen years. Mounting evidence support the hypothesis that the onset of certain brain disorders is linked with the interplay between the structural architecture of the brain and its functional processes, often accompanied with unusual connectivity features. This paper introduces a method called the Network-based statistic-simultaneous node investigation (NBS-SNI) that integrates both representations into a single framework, and identifies connectivity abnormalities in case-control studies. With this method, significance is given to the properties of the nodes, as well as to their connections. This approach builds on the well-established Network-based statistic (NBS) proposed in 2010. We uncover and identify the regimes in which NBS-SNI offers a gain in statistical resolution to identify a contrast of interest using synthetic data. We also apply our method on two real case-control studies, one consisting of individuals diagnosed with autism and the other consisting of individuals diagnosed with early-psychosis. Using NBS-SNI and node properties such as the closeness centrality and local information dimension, we found hypo and hyperconnected subnetworks and show that our method can offer a 9 percentage points gain in prediction power over the standard NBS.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"144 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271081","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

The Unique Neural Signature of Your Trip: Functional Connectome Fingerprints of Subjective Psilocybin Experience 你旅行的独特神经特征:主观裸盖菇素体验的功能连接体指纹

3区医学

Network Neuroscience Pub Date : 2023-11-01 DOI: 10.1162/netn_a_00349

Hanna M. Tolle, Juan Carlos Farah, Pablo Mallaroni, Natasha L. Mason, Johannes G. Ramaekers, Enrico Amico

{"title":"The Unique Neural Signature of Your Trip: Functional Connectome Fingerprints of Subjective Psilocybin Experience","authors":"Hanna M. Tolle, Juan Carlos Farah, Pablo Mallaroni, Natasha L. Mason, Johannes G. Ramaekers, Enrico Amico","doi":"10.1162/netn_a_00349","DOIUrl":"https://doi.org/10.1162/netn_a_00349","url":null,"abstract":"Abstract The emerging neuroscientific frontier of brain fingerprinting has recently established that human functional connectomes (FCs) exhibit fingerprint-like idiosyncratic features, which map onto heterogeneously distributed behavioural traits. Here, we harness brain-fingerprinting tools to extract FC features that predict subjective drug experience induced by the psychedelic psilocybin. Specifically, in neuroimaging data of healthy volunteers under the acute influence of psilocybin or a placebo, we show that, post psilocybin administration, FCs become more idiosyncratic due to greater inter-subject dissimilarity. Moreover, whereas in placebo subjects idiosyncratic features are primarily found in the frontoparietal network, in psilocybin subjects they concentrate in the default-mode network (DMN). Crucially, isolating the latter revealed an FC pattern that predicts subjective psilocybin experience and is characterised by reduced within-DMN and DMN-limbic connectivity, as well as increased connectivity between the DMN and attentional systems. Overall, these results contribute to bridging the gap between psilocybin-mediated effects on brain and behaviour, while demonstrating the value of a brain-fingerprinting approach to pharmacological neuroimaging.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"144 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271080","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

Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity 谱动态因果模型:教学导论及其与功能连通性的关系

3区医学

Network Neuroscience Pub Date : 2023-11-01 DOI: 10.1162/netn_a_00348

Leonardo Novelli, Karl Friston, Adeel Razi

{"title":"Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity","authors":"Leonardo Novelli, Karl Friston, Adeel Razi","doi":"10.1162/netn_a_00348","DOIUrl":"https://doi.org/10.1162/netn_a_00348","url":null,"abstract":"Abstract We present a didactic introduction to spectral Dynamic Causal Modelling (DCM), a Bayesian state-space modelling approach used to infer effective connectivity from non-invasive neuroimaging data. Spectral DCM is currently the most widely applied DCM variant for resting-state functional MRI analysis. Our aim is to explain its technical foundations to an audience with limited expertise in state-space modelling and spectral data analysis. Particular attention will be paid to cross-spectral density, which is the most distinctive feature of spectral DCM and is closely related to functional connectivity, as measured by (zero-lag) Pearson correlations. In fact, the model parameters estimated by spectral DCM are those that best reproduce the cross-correlations between all measurements—at all time lags—including the zero-lag correlations that are usually interpreted as functional connectivity. We derive the functional connectivity matrix from the model equations and show how changing a single effective connectivity parameter can affect all pairwise correlations. To complicate matters, the pairs of brain regions showing the largest changes in functional connectivity do not necessarily coincide with those presenting the largest changes in effective connectivity. We discuss the implications and conclude with a comprehensive summary of the assumptions and limitations of spectral DCM.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271088","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