Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks
Summary: Neuronal oscillations are ubiquitous in brain activity at all scales and their synchronization dynamics are essential for information processing in neuronal systems. The underlying synaptic mechanisms, while mainly based on GABA- and glutamatergic neurotransmission, are influenced by neurom...
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Elsevier
2024-11-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224023368 |
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| author | Felix Siebenhühner J. Matias Palva Satu Palva |
| author_facet | Felix Siebenhühner J. Matias Palva Satu Palva |
| author_sort | Felix Siebenhühner |
| collection | DOAJ |
| description | Summary: Neuronal oscillations are ubiquitous in brain activity at all scales and their synchronization dynamics are essential for information processing in neuronal systems. The underlying synaptic mechanisms, while mainly based on GABA- and glutamatergic neurotransmission, are influenced by neuromodulatory systems that have highly variable densities of neurotransmitter receptors and transporters across the cortical mantle. How they constrain the network structures of interacting oscillations has remained a central unaddressed question. We asked here whether the receptor and transporter densities covary with the frequency-specific neuroanatomical patterns of inter-areal phase synchrony (PS) and amplitude correlation (AC) networks in resting-state magnetoencephalography (MEG) data. Network centrality in delta and gamma frequencies covaried positively with GABA-, NMDA-, dopaminergic-, and most serotonergic receptor and transporter densities while covariance was negative in alpha and beta bands. These results show that local receptor microarchitecture shapes macro-scale oscillation networks in spectrally specific patterns. |
| format | Article |
| id | doaj-art-1702e2a6fdcc4c4cb96e13efe5fb5d19 |
| institution | OA Journals |
| issn | 2589-0042 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj-art-1702e2a6fdcc4c4cb96e13efe5fb5d192025-08-20T02:10:53ZengElsevieriScience2589-00422024-11-01271111111110.1016/j.isci.2024.111111Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networksFelix Siebenhühner0J. Matias Palva1Satu Palva2Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland; BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University, Helsinki, Finland; Department of Neuroscience and Bioengineering (NBE), Aalto University, Espoo, Finland; Department of Electrical Engineering and Information Technology, Technical University Darmstadt, Darmstadt, GermanyNeuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland; Department of Neuroscience and Bioengineering (NBE), Aalto University, Espoo, Finland; Centre for Cognitive Neuroimaging (CCNi), School of Psychology and Neuroscience, University of Glasgow, Glasgow, UKNeuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland; Centre for Cognitive Neuroimaging (CCNi), School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK; Division of Psychology, VISE, Faculty of Education and Psychology, University of Oulu, Oulu, Finland; Corresponding authorSummary: Neuronal oscillations are ubiquitous in brain activity at all scales and their synchronization dynamics are essential for information processing in neuronal systems. The underlying synaptic mechanisms, while mainly based on GABA- and glutamatergic neurotransmission, are influenced by neuromodulatory systems that have highly variable densities of neurotransmitter receptors and transporters across the cortical mantle. How they constrain the network structures of interacting oscillations has remained a central unaddressed question. We asked here whether the receptor and transporter densities covary with the frequency-specific neuroanatomical patterns of inter-areal phase synchrony (PS) and amplitude correlation (AC) networks in resting-state magnetoencephalography (MEG) data. Network centrality in delta and gamma frequencies covaried positively with GABA-, NMDA-, dopaminergic-, and most serotonergic receptor and transporter densities while covariance was negative in alpha and beta bands. These results show that local receptor microarchitecture shapes macro-scale oscillation networks in spectrally specific patterns.http://www.sciencedirect.com/science/article/pii/S2589004224023368NeuroscienceSensory neuroscience |
| spellingShingle | Felix Siebenhühner J. Matias Palva Satu Palva Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks iScience Neuroscience Sensory neuroscience |
| title | Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks |
| title_full | Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks |
| title_fullStr | Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks |
| title_full_unstemmed | Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks |
| title_short | Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks |
| title_sort | linking the microarchitecture of neurotransmitter systems to large scale meg resting state networks |
| topic | Neuroscience Sensory neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2589004224023368 |
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