Neurophysiological signatures of cortical micro-architecture
Abstract Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and ho...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41689-6 |
| _version_ | 1797558267340128256 |
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| author | Golia Shafiei Ben D. Fulcher Bradley Voytek Theodore D. Satterthwaite Sylvain Baillet Bratislav Misic |
| author_facet | Golia Shafiei Ben D. Fulcher Bradley Voytek Theodore D. Satterthwaite Sylvain Baillet Bratislav Misic |
| author_sort | Golia Shafiei |
| collection | DOAJ |
| description | Abstract Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and how they arise from heterogeneous cortical micro-architecture remains unknown. Here we extensively profile regional neurophysiological dynamics across the human brain by estimating over 6800 time-series features from the resting state magnetoencephalography (MEG) signal. We then map regional time-series profiles to a comprehensive multi-modal, multi-scale atlas of cortical micro-architecture, including microstructure, metabolism, neurotransmitter receptors, cell types and laminar differentiation. We find that the dominant axis of neurophysiological dynamics reflects characteristics of power spectrum density and linear correlation structure of the signal, emphasizing the importance of conventional features of electromagnetic dynamics while identifying additional informative features that have traditionally received less attention. Moreover, spatial variation in neurophysiological dynamics is co-localized with multiple micro-architectural features, including gene expression gradients, intracortical myelin, neurotransmitter receptors and transporters, and oxygen and glucose metabolism. Collectively, this work opens new avenues for studying the anatomical basis of neural activity. |
| first_indexed | 2024-03-10T17:28:52Z |
| format | Article |
| id | doaj.art-dbd7712e56de47bbb264873f7d093140 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:28:52Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-dbd7712e56de47bbb264873f7d0931402023-11-20T10:06:10ZengNature PortfolioNature Communications2041-17232023-09-0114111510.1038/s41467-023-41689-6Neurophysiological signatures of cortical micro-architectureGolia Shafiei0Ben D. Fulcher1Bradley Voytek2Theodore D. Satterthwaite3Sylvain Baillet4Bratislav Misic5McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill UniversitySchool of Physics, The University of SydneyDepartment of Cognitive Science, Halıcıoğlu Data Science Institute, University of California, San DiegoDepartment of Psychiatry, Perelman School of Medicine, University of PennsylvaniaMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill UniversityMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill UniversityAbstract Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and how they arise from heterogeneous cortical micro-architecture remains unknown. Here we extensively profile regional neurophysiological dynamics across the human brain by estimating over 6800 time-series features from the resting state magnetoencephalography (MEG) signal. We then map regional time-series profiles to a comprehensive multi-modal, multi-scale atlas of cortical micro-architecture, including microstructure, metabolism, neurotransmitter receptors, cell types and laminar differentiation. We find that the dominant axis of neurophysiological dynamics reflects characteristics of power spectrum density and linear correlation structure of the signal, emphasizing the importance of conventional features of electromagnetic dynamics while identifying additional informative features that have traditionally received less attention. Moreover, spatial variation in neurophysiological dynamics is co-localized with multiple micro-architectural features, including gene expression gradients, intracortical myelin, neurotransmitter receptors and transporters, and oxygen and glucose metabolism. Collectively, this work opens new avenues for studying the anatomical basis of neural activity.https://doi.org/10.1038/s41467-023-41689-6 |
| spellingShingle | Golia Shafiei Ben D. Fulcher Bradley Voytek Theodore D. Satterthwaite Sylvain Baillet Bratislav Misic Neurophysiological signatures of cortical micro-architecture Nature Communications |
| title | Neurophysiological signatures of cortical micro-architecture |
| title_full | Neurophysiological signatures of cortical micro-architecture |
| title_fullStr | Neurophysiological signatures of cortical micro-architecture |
| title_full_unstemmed | Neurophysiological signatures of cortical micro-architecture |
| title_short | Neurophysiological signatures of cortical micro-architecture |
| title_sort | neurophysiological signatures of cortical micro architecture |
| url | https://doi.org/10.1038/s41467-023-41689-6 |
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