Human cortical networking by probabilistic and frequency-specific coupling
Large-scale cortical networking patterns have been established based on the correlation of slow fluctuations of resting fMRI signals. However, the electrophysiological mechanism of cortical networking remained to be elucidated. With large-scale human ECoG recording, we developed a novel approach for...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811919309541 |
| _version_ | 1828172518904561664 |
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| author | Yuxiang Yan Tianyi Qian Xin Xu Hao Han Zhipei Ling Wenjin Zhou Hesheng Liu Bo Hong |
| author_facet | Yuxiang Yan Tianyi Qian Xin Xu Hao Han Zhipei Ling Wenjin Zhou Hesheng Liu Bo Hong |
| author_sort | Yuxiang Yan |
| collection | DOAJ |
| description | Large-scale cortical networking patterns have been established based on the correlation of slow fluctuations of resting fMRI signals. However, the electrophysiological mechanism of cortical networking remained to be elucidated. With large-scale human ECoG recording, we developed a novel approach for functional network parcellation on the basis of probabilistic co-activation of cortical sites in spatio-temporal microstates. The parcellated networks were verified by electrical cortical stimulation (ECS) and somatosensory evoked potentials recording, which showed significantly higher accuracy than the traditional long-term correlation method. This provides direct electrophysiological evidence supporting the dynamic nature of cortical networking. Further analysis revealed that the brain-wide connectivity is likely established on the coupling of ECoG power envelop over a common carrier frequency ranging from alpha to low-beta (8–32Hz). Surprisingly, the cortical networking pattern over this specific frequency was found to be consistent across various tasks, which resembles the resting networks. The high similarity between the above functional network parcellation and the fMRI resting network atlas in individuals also suggested the slow power-envelope coupling of band-limited neural oscillations as the electrophysiological basis of spontaneous BOLD signals. Collectively, our findings on direct human recording revealed a probabilistic and frequency specific coupling mechanism for large-scale cortical networking shared by task and resting brain. |
| first_indexed | 2024-04-12T03:41:27Z |
| format | Article |
| id | doaj.art-d502cf1e4465466f86e1a0daad1e1dd3 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-12T03:41:27Z |
| publishDate | 2020-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-d502cf1e4465466f86e1a0daad1e1dd32022-12-22T03:49:16ZengElsevierNeuroImage1095-95722020-02-01207116363Human cortical networking by probabilistic and frequency-specific couplingYuxiang Yan0Tianyi Qian1Xin Xu2Hao Han3Zhipei Ling4Wenjin Zhou5Hesheng Liu6Bo Hong7Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, ChinaDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, ChinaDepartment of Neurosurgery, Chinese PLA General Hospital, Beijing, 100853, ChinaDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, ChinaDepartment of Neurosurgery, Chinese PLA General Hospital, Beijing, 100853, ChinaEpilepsy Center, Yuquan Hospital, Tsinghua University, Beijing, 100040, ChinaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, 02129, USA; Corresponding author.Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA.Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China; Corresponding author.Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.Large-scale cortical networking patterns have been established based on the correlation of slow fluctuations of resting fMRI signals. However, the electrophysiological mechanism of cortical networking remained to be elucidated. With large-scale human ECoG recording, we developed a novel approach for functional network parcellation on the basis of probabilistic co-activation of cortical sites in spatio-temporal microstates. The parcellated networks were verified by electrical cortical stimulation (ECS) and somatosensory evoked potentials recording, which showed significantly higher accuracy than the traditional long-term correlation method. This provides direct electrophysiological evidence supporting the dynamic nature of cortical networking. Further analysis revealed that the brain-wide connectivity is likely established on the coupling of ECoG power envelop over a common carrier frequency ranging from alpha to low-beta (8–32Hz). Surprisingly, the cortical networking pattern over this specific frequency was found to be consistent across various tasks, which resembles the resting networks. The high similarity between the above functional network parcellation and the fMRI resting network atlas in individuals also suggested the slow power-envelope coupling of band-limited neural oscillations as the electrophysiological basis of spontaneous BOLD signals. Collectively, our findings on direct human recording revealed a probabilistic and frequency specific coupling mechanism for large-scale cortical networking shared by task and resting brain.http://www.sciencedirect.com/science/article/pii/S1053811919309541Functional networkECoGResting stateDynamic connectivityCarrier frequency |
| spellingShingle | Yuxiang Yan Tianyi Qian Xin Xu Hao Han Zhipei Ling Wenjin Zhou Hesheng Liu Bo Hong Human cortical networking by probabilistic and frequency-specific coupling NeuroImage Functional network ECoG Resting state Dynamic connectivity Carrier frequency |
| title | Human cortical networking by probabilistic and frequency-specific coupling |
| title_full | Human cortical networking by probabilistic and frequency-specific coupling |
| title_fullStr | Human cortical networking by probabilistic and frequency-specific coupling |
| title_full_unstemmed | Human cortical networking by probabilistic and frequency-specific coupling |
| title_short | Human cortical networking by probabilistic and frequency-specific coupling |
| title_sort | human cortical networking by probabilistic and frequency specific coupling |
| topic | Functional network ECoG Resting state Dynamic connectivity Carrier frequency |
| url | http://www.sciencedirect.com/science/article/pii/S1053811919309541 |
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