[{"abstract":[{"text":"Neurons in the brain are wired into adaptive networks that exhibit collective dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches. Although existing models account for oscillations and avalanches separately, they typically do not explain both phenomena, are too complex to analyze analytically or intractable to infer from data rigorously. Here we propose a feedback-driven Ising-like class of neural networks that captures avalanches and oscillations simultaneously and quantitatively. In the simplest yet fully microscopic model version, we can analytically compute the phase diagram and make direct contact with human brain resting-state activity recordings via tractable inference of the model’s two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor oscillations to collective behaviors of extreme events and neuronal avalanches. Importantly, the inferred parameters indicate that the co-existence of scale-specific (oscillations) and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"oa_version":"Published Version","scopus_import":"1","intvolume":" 3","month":"03","publication_status":"published","publication_identifier":{"eissn":["2662-8457"]},"language":[{"iso":"eng"}],"file":[{"date_created":"2023-08-16T12:39:57Z","file_name":"2023_NatureCompScience_Lombardi.pdf","date_updated":"2023-08-16T12:39:57Z","file_size":4474284,"creator":"dernst","file_id":"14073","checksum":"7c63b2b2edfd68aaffe96d70ca6a865a","success":1,"content_type":"application/pdf","access_level":"open_access","relation":"main_file"}],"ec_funded":1,"volume":3,"_id":"12762","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","status":"public","date_updated":"2023-08-16T12:41:53Z","ddc":["570"],"department":[{"_id":"GaTk"},{"_id":"GradSch"}],"file_date_updated":"2023-08-16T12:39:57Z","acknowledgement":"This research was funded in whole, or in part, by the Austrian Science Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. The study was supported by the European Union Horizon 2020 research and innovation program under the Marie Sklodowska-Curie action (grant agreement No. 754411 to F.L.).","oa":1,"quality_controlled":"1","publisher":"Springer Nature","year":"2023","has_accepted_license":"1","publication":"Nature Computational Science","day":"20","page":"254-263","date_created":"2023-03-26T22:01:08Z","date_published":"2023-03-20T00:00:00Z","doi":"10.1038/s43588-023-00410-9","project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67","name":"Functional Advantages of Critical Brain Dynamics","grant_number":"M03318"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism","grant_number":"P34015"}],"citation":{"ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. 3, 254–263.","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” Nature Computational Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00410-9.","ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain,” Nature Computational Science, vol. 3. Springer Nature, pp. 254–263, 2023.","short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. 2023;3:254-263. doi:10.1038/s43588-023-00410-9","apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00410-9","mla":"Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” Nature Computational Science, vol. 3, Springer Nature, 2023, pp. 254–63, doi:10.1038/s43588-023-00410-9."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"arxiv":["2108.06686"]},"article_processing_charge":"No","author":[{"full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425","first_name":"Fabrizio"},{"first_name":"Selver","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425","full_name":"Pepic, Selver","last_name":"Pepic"},{"full_name":"Shriki, Oren","last_name":"Shriki","first_name":"Oren"},{"first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"},{"full_name":"De Martino, Daniele","orcid":"0000-0002-5214-4706","last_name":"De Martino","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","first_name":"Daniele"}],"title":"Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain"},{"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","status":"public","_id":"12487","department":[{"_id":"GaTk"}],"file_date_updated":"2023-10-09T07:23:46Z","date_updated":"2023-12-13T11:11:24Z","ddc":["570"],"scopus_import":"1","intvolume":" 26","month":"10","abstract":[{"lang":"eng","text":"Sleep plays a key role in preserving brain function, keeping the brain network in a state that ensures optimal computational capabilities. Empirical evidence indicates that such a state is consistent with criticality, where scale-free neuronal avalanches emerge. However, the relationship between sleep, emergent avalanches, and criticality remains poorly understood. Here we fully characterize the critical behavior of avalanches during sleep, and study their relationship with the sleep macro- and micro-architecture, in particular the cyclic alternating pattern (CAP). We show that avalanche size and duration distributions exhibit robust power laws with exponents approximately equal to −3/2 e −2, respectively. Importantly, we find that sizes scale as a power law of the durations, and that all critical exponents for neuronal avalanches obey robust scaling relations, which are consistent with the mean-field directed percolation universality class. Our analysis demonstrates that avalanche dynamics depends on the position within the NREM-REM cycles, with the avalanche density increasing in the descending phases and decreasing in the ascending phases of sleep cycles. Moreover, we show that, within NREM sleep, avalanche occurrence correlates with CAP activation phases, particularly A1, which are the expression of slow wave sleep propensity and have been proposed to be beneficial for cognitive processes. The results suggest that neuronal avalanches, and thus tuning to criticality, actively contribute to sleep development and play a role in preserving network function. Such findings, alongside characterization of the universality class for avalanches, open new avenues to the investigation of functional role of criticality during sleep with potential clinical application.Significance statementWe fully characterize the critical behavior of neuronal avalanches during sleep, and show that avalanches follow precise scaling laws that are consistent with the mean-field directed percolation universality class. The analysis provides first evidence of a functional relationship between avalanche occurrence, slow-wave sleep dynamics, sleep stage transitions and occurrence of CAP phase A during NREM sleep. Because CAP is considered one of the major guardians of NREM sleep that allows the brain to dynamically react to external perturbation and contributes to the cognitive consolidation processes occurring in sleep, our observations suggest that neuronal avalanches at criticality are associated with flexible response to external inputs and to cognitive processes, a key assumption of the critical brain hypothesis."}],"pmid":1,"oa_version":"Published Version","ec_funded":1,"volume":26,"issue":"10","publication_status":"published","publication_identifier":{"eissn":["2589-0042"]},"language":[{"iso":"eng"}],"file":[{"file_id":"14412","checksum":"f499836af172ecc9865de4bb41fa99d1","success":1,"content_type":"application/pdf","access_level":"open_access","relation":"main_file","date_created":"2023-10-09T07:23:46Z","file_name":"2023_iScience_Scarpetta.pdf","date_updated":"2023-10-09T07:23:46Z","file_size":4872708,"creator":"dernst"}],"project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411"},{"_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67","grant_number":"M03318","name":"Functional Advantages of Critical Brain Dynamics"}],"external_id":{"isi":["001082331200001"],"pmid":["37766992"]},"article_processing_charge":"Yes","author":[{"last_name":"Scarpetta","full_name":"Scarpetta, Silvia","first_name":"Silvia"},{"full_name":"Morrisi, Niccolò","last_name":"Morrisi","first_name":"Niccolò"},{"first_name":"Carlotta","full_name":"Mutti, Carlotta","last_name":"Mutti"},{"first_name":"Nicoletta","full_name":"Azzi, Nicoletta","last_name":"Azzi"},{"first_name":"Irene","full_name":"Trippi, Irene","last_name":"Trippi"},{"full_name":"Ciliento, Rosario","last_name":"Ciliento","first_name":"Rosario"},{"last_name":"Apicella","full_name":"Apicella, Ilenia","first_name":"Ilenia"},{"last_name":"Messuti","full_name":"Messuti, Giovanni","first_name":"Giovanni"},{"last_name":"Angiolelli","full_name":"Angiolelli, Marianna","first_name":"Marianna"},{"orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","last_name":"Lombardi","first_name":"Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"last_name":"Parrino","full_name":"Parrino, Liborio","first_name":"Liborio"},{"first_name":"Anna Elisabetta","full_name":"Vaudano, Anna Elisabetta","last_name":"Vaudano"}],"title":"Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture","citation":{"ieee":"S. Scarpetta et al., “Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture,” iScience, vol. 26, no. 10. Elsevier, p. 107840, 2023.","short":"S. Scarpetta, N. Morrisi, C. Mutti, N. Azzi, I. Trippi, R. Ciliento, I. Apicella, G. Messuti, M. Angiolelli, F. Lombardi, L. Parrino, A.E. Vaudano, IScience 26 (2023) 107840.","apa":"Scarpetta, S., Morrisi, N., Mutti, C., Azzi, N., Trippi, I., Ciliento, R., … Vaudano, A. E. (2023). Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. IScience. Elsevier. https://doi.org/10.1016/j.isci.2023.107840","ama":"Scarpetta S, Morrisi N, Mutti C, et al. Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. iScience. 2023;26(10):107840. doi:10.1016/j.isci.2023.107840","mla":"Scarpetta, Silvia, et al. “Criticality of Neuronal Avalanches in Human Sleep and Their Relationship with Sleep Macro- and Micro-Architecture.” IScience, vol. 26, no. 10, Elsevier, 2023, p. 107840, doi:10.1016/j.isci.2023.107840.","ista":"Scarpetta S, Morrisi N, Mutti C, Azzi N, Trippi I, Ciliento R, Apicella I, Messuti G, Angiolelli M, Lombardi F, Parrino L, Vaudano AE. 2023. Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. iScience. 26(10), 107840.","chicago":"Scarpetta, Silvia, Niccolò Morrisi, Carlotta Mutti, Nicoletta Azzi, Irene Trippi, Rosario Ciliento, Ilenia Apicella, et al. “Criticality of Neuronal Avalanches in Human Sleep and Their Relationship with Sleep Macro- and Micro-Architecture.” IScience. Elsevier, 2023. https://doi.org/10.1016/j.isci.2023.107840."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"quality_controlled":"1","publisher":"Elsevier","acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411, and from the Austrian Science Fund (FWF) under the Lise Meitner fellowship No. PT1013M03318. IA acknowledges financial support from the MIUR PRIN 2017WZFTZP.","page":"107840","date_created":"2023-02-02T10:50:17Z","date_published":"2023-10-20T00:00:00Z","doi":"10.1016/j.isci.2023.107840","year":"2023","has_accepted_license":"1","isi":1,"publication":"iScience","day":"20"},{"oa":1,"quality_controlled":"1","publisher":"Elsevier","acknowledgement":"This research was funded in whole or in part by the Austrian Science Fund (FWF) (grant PT1013M03318 to F.L.). For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. The study was supported by the European Union Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie action (grant agreement 754411 to F.L.) and in part by the NextGenerationEU through the grant TAlent in ReSearch@University of Padua – STARS@UNIPD (to F.L.) (project BRAINCIP [brain criticality and information processing]). L.d.A. acknowledges support from the Italian MIUR project PRIN2017WZFTZP and partial support from NEXTGENERATIONEU (NGEU) funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), and project MNESYS (PE0000006)—a multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). O.S. acknowledges support from the Israel Science Foundation, grant 504/17. The work was supported in part by DIRP ZIAMH02797 (to D.P.).","date_created":"2023-10-08T22:01:15Z","doi":"10.1016/j.celrep.2023.113162","date_published":"2023-10-31T00:00:00Z","publication":"Cell Reports","day":"31","year":"2023","isi":1,"has_accepted_license":"1","project":[{"grant_number":"M03318","name":"Functional Advantages of Critical Brain Dynamics","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67"},{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"}],"article_number":"113162","title":"Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state","article_processing_charge":"Yes","external_id":{"isi":["001086695500001"],"pmid":["37777965"]},"author":[{"last_name":"Lombardi","orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425","first_name":"Fabrizio"},{"last_name":"Herrmann","full_name":"Herrmann, Hans J.","first_name":"Hans J."},{"first_name":"Liborio","full_name":"Parrino, Liborio","last_name":"Parrino"},{"first_name":"Dietmar","last_name":"Plenz","full_name":"Plenz, Dietmar"},{"full_name":"Scarpetta, Silvia","last_name":"Scarpetta","first_name":"Silvia"},{"full_name":"Vaudano, Anna Elisabetta","last_name":"Vaudano","first_name":"Anna Elisabetta"},{"first_name":"Lucilla","last_name":"De Arcangelis","full_name":"De Arcangelis, Lucilla"},{"last_name":"Shriki","full_name":"Shriki, Oren","first_name":"Oren"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Lombardi, Fabrizio, et al. “Beyond Pulsed Inhibition: Alpha Oscillations Modulate Attenuation and Amplification of Neural Activity in the Awake Resting State.” Cell Reports, vol. 42, no. 10, 113162, Elsevier, 2023, doi:10.1016/j.celrep.2023.113162.","apa":"Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano, A. E., … Shriki, O. (2023). Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2023.113162","ama":"Lombardi F, Herrmann HJ, Parrino L, et al. Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. Cell Reports. 2023;42(10). doi:10.1016/j.celrep.2023.113162","short":"F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano, L. De Arcangelis, O. Shriki, Cell Reports 42 (2023).","ieee":"F. Lombardi et al., “Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state,” Cell Reports, vol. 42, no. 10. Elsevier, 2023.","chicago":"Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz, Silvia Scarpetta, Anna Elisabetta Vaudano, Lucilla De Arcangelis, and Oren Shriki. “Beyond Pulsed Inhibition: Alpha Oscillations Modulate Attenuation and Amplification of Neural Activity in the Awake Resting State.” Cell Reports. Elsevier, 2023. https://doi.org/10.1016/j.celrep.2023.113162.","ista":"Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, De Arcangelis L, Shriki O. 2023. Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. Cell Reports. 42(10), 113162."},"intvolume":" 42","month":"10","scopus_import":"1","pmid":1,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Alpha oscillations are a distinctive feature of the awake resting state of the human brain. However, their functional role in resting-state neuronal dynamics remains poorly understood. Here we show that, during resting wakefulness, alpha oscillations drive an alternation of attenuation and amplification bouts in neural activity. Our analysis indicates that inhibition is activated in pulses that last for a single alpha cycle and gradually suppress neural activity, while excitation is successively enhanced over a few alpha cycles to amplify neural activity. Furthermore, we show that long-term alpha amplitude fluctuations—the “waxing and waning” phenomenon—are an attenuation-amplification mechanism described by a power-law decay of the activity rate in the “waning” phase. Importantly, we do not observe such dynamics during non-rapid eye movement (NREM) sleep with marginal alpha oscillations. The results suggest that alpha oscillations modulate neural activity not only through pulses of inhibition (pulsed inhibition hypothesis) but also by timely enhancement of excitation (or disinhibition)."}],"ec_funded":1,"issue":"10","volume":42,"language":[{"iso":"eng"}],"file":[{"date_created":"2024-01-30T14:07:08Z","file_name":"2023_CellReports_Lombardi.pdf","creator":"dernst","date_updated":"2024-01-30T14:07:08Z","file_size":5599007,"file_id":"14914","checksum":"9c71eb2a03aa160415f01ad95f49ceb5","success":1,"access_level":"open_access","relation":"main_file","content_type":"application/pdf"}],"publication_status":"published","publication_identifier":{"eissn":["2211-1247"]},"status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","_id":"14402","department":[{"_id":"GaTk"}],"file_date_updated":"2024-01-30T14:07:08Z","ddc":["570"],"date_updated":"2024-01-30T14:07:40Z"},{"date_published":"2022-03-04T00:00:00Z","doi":"10.1101/2022.03.03.482657","date_created":"2022-03-04T22:20:59Z","ec_funded":1,"page":"25","day":"04","language":[{"iso":"eng"}],"publication":"bioRxiv","publication_status":"published","year":"2022","month":"03","publisher":"Cold Spring Harbor Laboratory","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2022.03.03.482657"}],"oa":1,"oa_version":"Preprint","acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411. LdA acknowledges the Italian MIUR project PRIN2017WZFTZP for financial support and the project E-PASSION of the program VALERE 2019 funded by the University of Campania, Italy “L. Vanvitelli”. OS acknowledges support from the Israel Science Foundation, Grant No. 504/17. Supported in part by DIRP ZIAMH02797 to DP.","abstract":[{"lang":"eng","text":"Rhythmical cortical activity has long been recognized as a pillar in the architecture of brain functions. Yet, the dynamic organization of its underlying neuronal population activity remains elusive. Here we uncover a unique organizational principle regulating collective neural dynamics associated with the alpha rhythm in the awake resting-state. We demonstrate that cascades of neural activity obey attenuation-amplification dynamics (AAD), with a transition from the attenuation regime—within alpha cycles—to the amplification regime—across a few alpha cycles—that correlates with the characteristic frequency of the alpha rhythm. We find that this short-term AAD is part of a large-scale, size-dependent temporal structure of neural cascades that obeys the Omori law: Following large cascades, smaller cascades occur at a rate that decays as a power-law of the time elapsed from such events—a long-term AAD regulating brain activity over the timescale of seconds. We show that such an organization corresponds to the \"waxing and waning\" of the alpha rhythm. Importantly, we observe that short- and long-term AAD are unique to the awake resting-state, being absent during NREM sleep. These results provide a quantitative, dynamical description of the so-far-qualitative notion of the \"waxing and waning\" phenomenon, and suggest the AAD as a key principle governing resting-state dynamics across timescales."}],"department":[{"_id":"GaTk"}],"title":"Alpha rhythm induces attenuation-amplification dynamics in neural activity cascades","author":[{"last_name":"Lombardi","orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425","first_name":"Fabrizio"},{"last_name":"Herrmann","full_name":"Herrmann, Hans J.","first_name":"Hans J."},{"last_name":"Parrino","full_name":"Parrino, Liborio","first_name":"Liborio"},{"last_name":"Plenz","full_name":"Plenz, Dietmar","first_name":"Dietmar"},{"first_name":"Silvia","last_name":"Scarpetta","full_name":"Scarpetta, Silvia"},{"full_name":"Vaudano, Anna Elisabetta","last_name":"Vaudano","first_name":"Anna Elisabetta"},{"full_name":"de Arcangelis, Lucilla","last_name":"de Arcangelis","first_name":"Lucilla"},{"last_name":"Shriki","full_name":"Shriki, Oren","first_name":"Oren"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ieee":"F. Lombardi et al., “Alpha rhythm induces attenuation-amplification dynamics in neural activity cascades,” bioRxiv. Cold Spring Harbor Laboratory, 2022.","short":"F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano, L. de Arcangelis, O. Shriki, BioRxiv (2022).","apa":"Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano, A. E., … Shriki, O. (2022). Alpha rhythm induces attenuation-amplification dynamics in neural activity cascades. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.03.03.482657","ama":"Lombardi F, Herrmann HJ, Parrino L, et al. Alpha rhythm induces attenuation-amplification dynamics in neural activity cascades. bioRxiv. 2022. doi:10.1101/2022.03.03.482657","mla":"Lombardi, Fabrizio, et al. “Alpha Rhythm Induces Attenuation-Amplification Dynamics in Neural Activity Cascades.” BioRxiv, Cold Spring Harbor Laboratory, 2022, doi:10.1101/2022.03.03.482657.","ista":"Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, de Arcangelis L, Shriki O. 2022. Alpha rhythm induces attenuation-amplification dynamics in neural activity cascades. bioRxiv, 10.1101/2022.03.03.482657.","chicago":"Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz, Silvia Scarpetta, Anna Elisabetta Vaudano, Lucilla de Arcangelis, and Oren Shriki. “Alpha Rhythm Induces Attenuation-Amplification Dynamics in Neural Activity Cascades.” BioRxiv. Cold Spring Harbor Laboratory, 2022. https://doi.org/10.1101/2022.03.03.482657."},"date_updated":"2022-03-07T07:28:34Z","project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"}],"status":"public","type":"preprint","_id":"10821"},{"article_processing_charge":"No","external_id":{"arxiv":["2108.06686"]},"author":[{"last_name":"Lombardi","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","first_name":"Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"first_name":"Selver","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425","last_name":"Pepic","full_name":"Pepic, Selver"},{"first_name":"Oren","last_name":"Shriki","full_name":"Shriki, Oren"},{"last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper","first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Daniele","full_name":"De Martino, Daniele","last_name":"De Martino"}],"department":[{"_id":"GaTk"}],"title":"Quantifying the coexistence of neuronal oscillations and avalanches","date_updated":"2022-03-22T07:53:18Z","citation":{"ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Quantifying the coexistence of neuronal oscillations and avalanches.” arXiv.","short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, (n.d.).","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. doi:10.48550/ARXIV.2108.06686","apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. https://doi.org/10.48550/ARXIV.2108.06686","mla":"Lombardi, Fabrizio, et al. Quantifying the Coexistence of Neuronal Oscillations and Avalanches. arXiv, doi:10.48550/ARXIV.2108.06686.","ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. 10.48550/ARXIV.2108.06686.","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Quantifying the Coexistence of Neuronal Oscillations and Avalanches.” arXiv, n.d. https://doi.org/10.48550/ARXIV.2108.06686."},"ddc":["570"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","project":[{"name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"}],"status":"public","_id":"10912","page":"37","ec_funded":1,"date_created":"2022-03-21T11:41:28Z","date_published":"2021-08-17T00:00:00Z","doi":"10.48550/ARXIV.2108.06686","publication_status":"submitted","year":"2021","language":[{"iso":"eng"}],"day":"17","oa":1,"main_file_link":[{"url":"https://arxiv.org/abs/2108.06686","open_access":"1"}],"publisher":"arXiv","month":"08","abstract":[{"text":"Brain dynamics display collective phenomena as diverse as neuronal oscillations and avalanches. Oscillations are rhythmic, with fluctuations occurring at a characteristic scale, whereas avalanches are scale-free cascades of neural activity. Here we show that such antithetic features can coexist in a very generic class of adaptive neural networks. In the most simple yet fully microscopic model from this class we make direct contact with human brain resting-state activity recordings via tractable inference of the model's two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor fluctuations, collective behaviors of nearly-synchronous extreme events on multiple sensors, to neuronal avalanches unfolding over multiple sensors across multiple time-bins. Importantly, the inferred parameters correlate with model-independent signatures of \"closeness to criticality\", suggesting that the coexistence of scale-specific (neural oscillations) and scale-free (neuronal avalanches) dynamics in brain activity occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411. GT\r\nacknowledges the support of the Austrian Science Fund (FWF) under Stand-Alone Grant\r\nNo. P34015.","oa_version":"Preprint"},{"article_type":"original","type":"journal_article","status":"public","_id":"7463","department":[{"_id":"GaTk"}],"date_updated":"2023-08-04T10:46:29Z","scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1101/2020.02.03.930966","open_access":"1"}],"month":"05","intvolume":" 461","abstract":[{"lang":"eng","text":"Resting-state brain activity is characterized by the presence of neuronal avalanches showing absence of characteristic size. Such evidence has been interpreted in the context of criticality and associated with the normal functioning of the brain. A distinctive attribute of systems at criticality is the presence of long-range correlations. Thus, to verify the hypothesis that the brain operates close to a critical point and consequently assess deviations from criticality for diagnostic purposes, it is of primary importance to robustly and reliably characterize correlations in resting-state brain activity. Recent works focused on the analysis of narrow-band electroencephalography (EEG) and magnetoencephalography (MEG) signal amplitude envelope, showing evidence of long-range temporal correlations (LRTC) in neural oscillations. However, brain activity is a broadband phenomenon, and a significant piece of information useful to precisely discriminate between normal (critical) and pathological behavior (non-critical), may be encoded in the broadband spatio-temporal cortical dynamics. Here we propose to characterize the temporal correlations in the broadband brain activity through the lens of neuronal avalanches. To this end, we consider resting-state EEG and long-term MEG recordings, extract the corresponding neuronal avalanche sequences, and study their temporal correlations. We demonstrate that the broadband resting-state brain activity consistently exhibits long-range power-law correlations in both EEG and MEG recordings, with similar values of the scaling exponents. Importantly, although we observe that the avalanche size distribution depends on scale parameters, scaling exponents characterizing long-range correlations are quite robust. In particular, they are independent of the temporal binning (scale of analysis), indicating that our analysis captures intrinsic characteristics of the underlying dynamics. Because neuronal avalanches constitute a fundamental feature of neural systems with universal characteristics, the proposed approach may serve as a general, systems- and experiment-independent procedure to infer the existence of underlying long-range correlations in extended neural systems, and identify pathological behaviors in the complex spatio-temporal interplay of cortical rhythms."}],"oa_version":"Preprint","volume":461,"ec_funded":1,"publication_identifier":{"issn":["0925-2312"],"eissn":["1872-8286"]},"publication_status":"published","language":[{"iso":"eng"}],"project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"author":[{"last_name":"Lombardi","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","id":"A057D288-3E88-11E9-986D-0CF4E5697425","first_name":"Fabrizio"},{"first_name":"Oren","last_name":"Shriki","full_name":"Shriki, Oren"},{"first_name":"Hans J","full_name":"Herrmann, Hans J","last_name":"Herrmann"},{"first_name":"Lucilla","last_name":"de Arcangelis","full_name":"de Arcangelis, Lucilla"}],"article_processing_charge":"No","external_id":{"isi":["000704086300015"]},"title":"Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches","citation":{"chicago":"Lombardi, Fabrizio, Oren Shriki, Hans J Herrmann, and Lucilla de Arcangelis. “Long-Range Temporal Correlations in the Broadband Resting State Activity of the Human Brain Revealed by Neuronal Avalanches.” Neurocomputing. Elsevier, 2021. https://doi.org/10.1016/j.neucom.2020.05.126.","ista":"Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. 2021. Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. 461, 657–666.","mla":"Lombardi, Fabrizio, et al. “Long-Range Temporal Correlations in the Broadband Resting State Activity of the Human Brain Revealed by Neuronal Avalanches.” Neurocomputing, vol. 461, Elsevier, 2021, pp. 657–66, doi:10.1016/j.neucom.2020.05.126.","apa":"Lombardi, F., Shriki, O., Herrmann, H. J., & de Arcangelis, L. (2021). Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. Elsevier. https://doi.org/10.1016/j.neucom.2020.05.126","ama":"Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. 2021;461:657-666. doi:10.1016/j.neucom.2020.05.126","short":"F. Lombardi, O. Shriki, H.J. Herrmann, L. de Arcangelis, Neurocomputing 461 (2021) 657–666.","ieee":"F. Lombardi, O. Shriki, H. J. Herrmann, and L. de Arcangelis, “Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches,” Neurocomputing, vol. 461. Elsevier, pp. 657–666, 2021."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","quality_controlled":"1","publisher":"Elsevier","oa":1,"acknowledgement":"LdA would like to acknowledge the financial support from MIUR-PRIN2017 WZFTZP and VALERE:VAnviteLli pEr la RicErca 2019. FL acknowledges support from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 754411. HJH would like to thank the Agencies CAPES and FUNCAP for financial support.","page":"657-666","doi":"10.1016/j.neucom.2020.05.126","date_published":"2021-05-13T00:00:00Z","date_created":"2020-02-06T16:09:14Z","isi":1,"year":"2021","day":"13","publication":"Neurocomputing"},{"abstract":[{"lang":"eng","text":"Physical and biological systems often exhibit intermittent dynamics with bursts or avalanches (active states) characterized by power-law size and duration distributions. These emergent features are typical of systems at the critical point of continuous phase transitions, and have led to the hypothesis that such systems may self-organize at criticality, i.e. without any fine tuning of parameters. Since the introduction of the Bak-Tang-Wiesenfeld (BTW) model, the paradigm of self-organized criticality (SOC) has been very fruitful for the analysis of emergent collective behaviors in a number of systems, including the brain. Although considerable effort has been devoted in identifying and modeling scaling features of burst and avalanche statistics, dynamical aspects related to the temporal organization of bursts remain often poorly understood or controversial. Of crucial importance to understand the mechanisms responsible for emergent behaviors is the relationship between active and quiet periods, and the nature of the correlations. Here we investigate the dynamics of active (θ-bursts) and quiet states (δ-bursts) in brain activity during the sleep-wake cycle. We show the duality of power-law (θ, active phase) and exponential-like (δ, quiescent phase) duration distributions, typical of SOC, jointly emerge with power-law temporal correlations and anti-correlated coupling between active and quiet states. Importantly, we demonstrate that such temporal organization shares important similarities with earthquake dynamics, and propose that specific power-law correlations and coupling between active and quiet states are distinctive characteristics of a class of systems with self-organization at criticality."}],"oa_version":"Published Version","intvolume":" 230","month":"03","publication_status":"published","publication_identifier":{"issn":["2100-014X"]},"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","file_id":"8144","success":1,"date_updated":"2020-07-22T06:17:11Z","file_size":2197543,"creator":"dernst","date_created":"2020-07-22T06:17:11Z","file_name":"2020_EPJWebConf_Lombardi.pdf"}],"volume":230,"_id":"8105","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","article_type":"original","status":"public","date_updated":"2021-01-12T08:16:55Z","ddc":["530"],"file_date_updated":"2020-07-22T06:17:11Z","department":[{"_id":"GaTk"}],"oa":1,"publisher":"EDP Sciences","quality_controlled":"1","year":"2020","has_accepted_license":"1","publication":"EPJ Web of Conferences","day":"11","date_created":"2020-07-12T16:20:33Z","date_published":"2020-03-11T00:00:00Z","doi":"10.1051/epjconf/202023000005","article_number":"00005","citation":{"ista":"Lombardi F, Wang JWJL, Zhang X, Ivanov PC. 2020. Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality. EPJ Web of Conferences. 230, 00005.","chicago":"Lombardi, Fabrizio, Jilin W.J.L. Wang, Xiyun Zhang, and Plamen Ch Ivanov. “Power-Law Correlations and Coupling of Active and Quiet States Underlie a Class of Complex Systems with Self-Organization at Criticality.” EPJ Web of Conferences. EDP Sciences, 2020. https://doi.org/10.1051/epjconf/202023000005.","ieee":"F. Lombardi, J. W. J. L. Wang, X. Zhang, and P. C. Ivanov, “Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality,” EPJ Web of Conferences, vol. 230. EDP Sciences, 2020.","short":"F. Lombardi, J.W.J.L. Wang, X. Zhang, P.C. Ivanov, EPJ Web of Conferences 230 (2020).","apa":"Lombardi, F., Wang, J. W. J. L., Zhang, X., & Ivanov, P. C. (2020). Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality. EPJ Web of Conferences. EDP Sciences. https://doi.org/10.1051/epjconf/202023000005","ama":"Lombardi F, Wang JWJL, Zhang X, Ivanov PC. Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality. EPJ Web of Conferences. 2020;230. doi:10.1051/epjconf/202023000005","mla":"Lombardi, Fabrizio, et al. “Power-Law Correlations and Coupling of Active and Quiet States Underlie a Class of Complex Systems with Self-Organization at Criticality.” EPJ Web of Conferences, vol. 230, 00005, EDP Sciences, 2020, doi:10.1051/epjconf/202023000005."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","author":[{"first_name":"Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425","orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","last_name":"Lombardi"},{"last_name":"Wang","full_name":"Wang, Jilin W.J.L.","first_name":"Jilin W.J.L."},{"first_name":"Xiyun","full_name":"Zhang, Xiyun","last_name":"Zhang"},{"first_name":"Plamen Ch","full_name":"Ivanov, Plamen Ch","last_name":"Ivanov"}],"title":"Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality"},{"acknowledgement":"We acknowledge support from the W. M. Keck Foundation, National Institutes of Health (NIH Grant 1R01-HL098437), the US-Israel Binational Science Foundation (BSF Grant 2012219), and the Office of Naval Research (ONR Grant 000141010078). FL acknowledges support also from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411.","quality_controlled":"1","publisher":"Frontiers","oa":1,"day":"26","publication":"Frontiers in Physiology","has_accepted_license":"1","isi":1,"year":"2020","date_published":"2020-11-26T00:00:00Z","doi":"10.3389/fphys.2020.558070","date_created":"2020-12-20T23:01:18Z","article_number":"558070","project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"mla":"Rizzo, Rossella, et al. “Network Physiology of Cortico–Muscular Interactions.” Frontiers in Physiology, vol. 11, 558070, Frontiers, 2020, doi:10.3389/fphys.2020.558070.","ieee":"R. Rizzo, X. Zhang, J. W. J. L. Wang, F. Lombardi, and P. C. Ivanov, “Network physiology of cortico–muscular interactions,” Frontiers in Physiology, vol. 11. Frontiers, 2020.","short":"R. Rizzo, X. Zhang, J.W.J.L. Wang, F. Lombardi, P.C. Ivanov, Frontiers in Physiology 11 (2020).","ama":"Rizzo R, Zhang X, Wang JWJL, Lombardi F, Ivanov PC. Network physiology of cortico–muscular interactions. Frontiers in Physiology. 2020;11. doi:10.3389/fphys.2020.558070","apa":"Rizzo, R., Zhang, X., Wang, J. W. J. L., Lombardi, F., & Ivanov, P. C. (2020). Network physiology of cortico–muscular interactions. Frontiers in Physiology. Frontiers. https://doi.org/10.3389/fphys.2020.558070","chicago":"Rizzo, Rossella, Xiyun Zhang, Jilin W.J.L. Wang, Fabrizio Lombardi, and Plamen Ch Ivanov. “Network Physiology of Cortico–Muscular Interactions.” Frontiers in Physiology. Frontiers, 2020. https://doi.org/10.3389/fphys.2020.558070.","ista":"Rizzo R, Zhang X, Wang JWJL, Lombardi F, Ivanov PC. 2020. Network physiology of cortico–muscular interactions. Frontiers in Physiology. 11, 558070."},"title":"Network physiology of cortico–muscular interactions","author":[{"full_name":"Rizzo, Rossella","last_name":"Rizzo","first_name":"Rossella"},{"first_name":"Xiyun","last_name":"Zhang","full_name":"Zhang, Xiyun"},{"full_name":"Wang, Jilin W.J.L.","last_name":"Wang","first_name":"Jilin W.J.L."},{"first_name":"Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425","last_name":"Lombardi","orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio"},{"full_name":"Ivanov, Plamen Ch","last_name":"Ivanov","first_name":"Plamen Ch"}],"article_processing_charge":"No","external_id":{"isi":["000596849400001"],"pmid":["33324233"]},"oa_version":"Published Version","pmid":1,"abstract":[{"lang":"eng","text":"Skeletal muscle activity is continuously modulated across physiologic states to provide coordination, flexibility and responsiveness to body tasks and external inputs. Despite the central role the muscular system plays in facilitating vital body functions, the network of brain-muscle interactions required to control hundreds of muscles and synchronize their activation in relation to distinct physiologic states has not been investigated. Recent approaches have focused on general associations between individual brain rhythms and muscle activation during movement tasks. However, the specific forms of coupling, the functional network of cortico-muscular coordination, and how network structure and dynamics are modulated by autonomic regulation across physiologic states remains unknown. To identify and quantify the cortico-muscular interaction network and uncover basic features of neuro-autonomic control of muscle function, we investigate the coupling between synchronous bursts in cortical rhythms and peripheral muscle activation during sleep and wake. Utilizing the concept of time delay stability and a novel network physiology approach, we find that the brain-muscle network exhibits complex dynamic patterns of communication involving multiple brain rhythms across cortical locations and different electromyographic frequency bands. Moreover, our results show that during each physiologic state the cortico-muscular network is characterized by a specific profile of network links strength, where particular brain rhythms play role of main mediators of interaction and control. Further, we discover a hierarchical reorganization in network structure across physiologic states, with high connectivity and network link strength during wake, intermediate during REM and light sleep, and low during deep sleep, a sleep-stage stratification that demonstrates a unique association between physiologic states and cortico-muscular network structure. The reported empirical observations are consistent across individual subjects, indicating universal behavior in network structure and dynamics, and high sensitivity of cortico-muscular control to changes in autonomic regulation, even at low levels of physical activity and muscle tone during sleep. Our findings demonstrate previously unrecognized basic principles of brain-muscle network communication and control, and provide new perspectives on the regulatory mechanisms of brain dynamics and locomotor activation, with potential clinical implications for neurodegenerative, movement and sleep disorders, and for developing efficient treatment strategies."}],"month":"11","intvolume":" 11","scopus_import":"1","file":[{"success":1,"checksum":"ef9515b28c5619b7126c0f347958bcb3","file_id":"8961","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_name":"2020_Frontiers_Rizzo.pdf","date_created":"2020-12-21T10:37:50Z","file_size":13380030,"date_updated":"2020-12-21T10:37:50Z","creator":"dernst"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1664042X"]},"publication_status":"published","volume":11,"ec_funded":1,"_id":"8955","status":"public","type":"journal_article","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"ddc":["570"],"date_updated":"2023-08-24T11:00:45Z","department":[{"_id":"GaTk"}],"file_date_updated":"2020-12-21T10:37:50Z"},{"department":[{"_id":"GaTk"}],"file_date_updated":"2020-07-22T11:44:48Z","date_updated":"2023-09-05T14:02:55Z","ddc":["570"],"article_type":"original","type":"journal_article","status":"public","_id":"8084","ec_funded":1,"volume":40,"issue":"1","publication_status":"published","publication_identifier":{"eissn":["1529-2401"],"issn":["0270-6474"]},"language":[{"iso":"eng"}],"file":[{"file_id":"8150","success":1,"content_type":"application/pdf","access_level":"open_access","relation":"main_file","date_created":"2020-07-22T11:44:48Z","file_name":"2020_JournNeuroscience_Lombardi.pdf","date_updated":"2020-07-22T11:44:48Z","file_size":6646046,"creator":"dernst"}],"scopus_import":"1","intvolume":" 40","month":"01","abstract":[{"lang":"eng","text":"Origin and functions of intermittent transitions among sleep stages, including brief awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing sleep on scales of seconds and minutes results from intrinsic non-equilibrium critical dynamics. We investigate θ- and δ-wave dynamics in control rats and in rats where the sleep-promoting ventrolateral preoptic nucleus (VLPO) is lesioned (male Sprague-Dawley rats). We demonstrate that bursts in θ and δ cortical rhythms exhibit complex temporal organization, with long-range correlations and robust duality of power-law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, features typical of non-equilibrium systems self-organizing at criticality. We show that such non-equilibrium behavior relates to anti-correlated coupling between θ- and δ-bursts, persists across a range of time scales, and is independent of the dominant physiologic state; indications of a basic principle in sleep regulation. Further, we find that VLPO lesions lead to a modulation of cortical dynamics resulting in altered dynamical parameters of θ- and δ-bursts and significant reduction in θ–δ coupling. Our empirical findings and model simulations demonstrate that θ–δ coupling is essential for the emerging non-equilibrium critical dynamics observed across the sleep–wake cycle, and indicate that VLPO neurons may have dual role for both sleep and arousal/brief wake activation. The uncovered critical behavior in sleep- and wake-related cortical rhythms indicates a mechanism essential for the micro-architecture of spontaneous sleep-stage and arousal transitions within a novel, non-homeostatic paradigm of sleep regulation."}],"pmid":1,"oa_version":"Published Version","article_processing_charge":"No","external_id":{"pmid":["31694962"],"isi":["000505167600016"]},"author":[{"first_name":"Fabrizio","id":"A057D288-3E88-11E9-986D-0CF4E5697425","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","last_name":"Lombardi"},{"full_name":"Gómez-Extremera, Manuel","last_name":"Gómez-Extremera","first_name":"Manuel"},{"full_name":"Bernaola-Galván, Pedro","last_name":"Bernaola-Galván","first_name":"Pedro"},{"last_name":"Vetrivelan","full_name":"Vetrivelan, Ramalingam","first_name":"Ramalingam"},{"first_name":"Clifford B.","last_name":"Saper","full_name":"Saper, Clifford B."},{"first_name":"Thomas E.","full_name":"Scammell, Thomas E.","last_name":"Scammell"},{"full_name":"Ivanov, Plamen Ch.","last_name":"Ivanov","first_name":"Plamen Ch."}],"title":"Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake","citation":{"chicago":"Lombardi, Fabrizio, Manuel Gómez-Extremera, Pedro Bernaola-Galván, Ramalingam Vetrivelan, Clifford B. Saper, Thomas E. Scammell, and Plamen Ch. Ivanov. “Critical Dynamics and Coupling in Bursts of Cortical Rhythms Indicate Non-Homeostatic Mechanism for Sleep-Stage Transitions and Dual Role of VLPO Neurons in Both Sleep and Wake.” Journal of Neuroscience. Society for Neuroscience, 2020. https://doi.org/10.1523/jneurosci.1278-19.2019.","ista":"Lombardi F, Gómez-Extremera M, Bernaola-Galván P, Vetrivelan R, Saper CB, Scammell TE, Ivanov PC. 2020. Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. Journal of Neuroscience. 40(1), 171–190.","mla":"Lombardi, Fabrizio, et al. “Critical Dynamics and Coupling in Bursts of Cortical Rhythms Indicate Non-Homeostatic Mechanism for Sleep-Stage Transitions and Dual Role of VLPO Neurons in Both Sleep and Wake.” Journal of Neuroscience, vol. 40, no. 1, Society for Neuroscience, 2020, pp. 171–90, doi:10.1523/jneurosci.1278-19.2019.","ama":"Lombardi F, Gómez-Extremera M, Bernaola-Galván P, et al. Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. Journal of Neuroscience. 2020;40(1):171-190. doi:10.1523/jneurosci.1278-19.2019","apa":"Lombardi, F., Gómez-Extremera, M., Bernaola-Galván, P., Vetrivelan, R., Saper, C. B., Scammell, T. E., & Ivanov, P. C. (2020). Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. Journal of Neuroscience. Society for Neuroscience. https://doi.org/10.1523/jneurosci.1278-19.2019","ieee":"F. Lombardi et al., “Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake,” Journal of Neuroscience, vol. 40, no. 1. Society for Neuroscience, pp. 171–190, 2020.","short":"F. Lombardi, M. Gómez-Extremera, P. Bernaola-Galván, R. Vetrivelan, C.B. Saper, T.E. Scammell, P.C. Ivanov, Journal of Neuroscience 40 (2020) 171–190."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"}],"page":"171-190","date_created":"2020-07-05T15:24:51Z","date_published":"2020-01-02T00:00:00Z","doi":"10.1523/jneurosci.1278-19.2019","year":"2020","isi":1,"has_accepted_license":"1","publication":"Journal of Neuroscience","day":"02","oa":1,"publisher":"Society for Neuroscience","quality_controlled":"1"},{"issue":"11","volume":15,"ec_funded":1,"file":[{"checksum":"2a096a9c6dcc6eaa94077b2603bc6c12","file_id":"7104","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"2019_PLOSComBio_Wang.pdf","date_created":"2019-11-25T08:24:01Z","creator":"dernst","file_size":3982516,"date_updated":"2020-07-14T12:47:49Z"}],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["1553-7358"]},"publication_status":"published","month":"11","intvolume":" 15","scopus_import":"1","oa_version":"Published Version","pmid":1,"abstract":[{"lang":"eng","text":"Origin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate θ and δ wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and δ rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between θ- and δ-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics."}],"department":[{"_id":"GaTk"}],"file_date_updated":"2020-07-14T12:47:49Z","ddc":["570","000"],"date_updated":"2023-10-17T12:30:07Z","status":"public","type":"journal_article","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"_id":"7103","doi":"10.1371/journal.pcbi.1007268","date_published":"2019-11-01T00:00:00Z","date_created":"2019-11-25T08:20:47Z","day":"01","publication":"PLoS Computational Biology","has_accepted_license":"1","isi":1,"year":"2019","publisher":"Public Library of Science","quality_controlled":"1","oa":1,"title":"Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture","author":[{"full_name":"Wang, Jilin W. J. L.","last_name":"Wang","first_name":"Jilin W. J. L."},{"full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425","first_name":"Fabrizio"},{"last_name":"Zhang","full_name":"Zhang, Xiyun","first_name":"Xiyun"},{"full_name":"Anaclet, Christelle","last_name":"Anaclet","first_name":"Christelle"},{"last_name":"Ivanov","full_name":"Ivanov, Plamen Ch.","first_name":"Plamen Ch."}],"external_id":{"isi":["000500976100014"],"pmid":["31725712"]},"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268.","chicago":"Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007268.","ieee":"J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15, no. 11. Public Library of Science, 2019.","short":"J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019).","ama":"Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268","apa":"Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., & Ivanov, P. C. (2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007268","mla":"Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology, vol. 15, no. 11, e1007268, Public Library of Science, 2019, doi:10.1371/journal.pcbi.1007268."},"project":[{"name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"article_number":"e1007268"}]