Brain-wide neural co-activations in resting human
Spontaneous neural activity in human as assessed with resting-state functional magnetic resonance imaging (fMRI) exhibits brain-wide coordinated patterns in the frequency of < 0.1 Hz. However, understanding of fast brain-wide networks at the timescales of neuronal events (milliseconds to sub-sec...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922005778 |
| _version_ | 1811216388957667328 |
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| author | Lei Ding Guofa Shou Yoon-Hee Cha John A. Sweeney Han Yuan |
| author_facet | Lei Ding Guofa Shou Yoon-Hee Cha John A. Sweeney Han Yuan |
| author_sort | Lei Ding |
| collection | DOAJ |
| description | Spontaneous neural activity in human as assessed with resting-state functional magnetic resonance imaging (fMRI) exhibits brain-wide coordinated patterns in the frequency of < 0.1 Hz. However, understanding of fast brain-wide networks at the timescales of neuronal events (milliseconds to sub-seconds) and their spatial, spectral, and transitional characteristics remain limited due to the temporal constraints of hemodynamic signals. With milli-second resolution and whole-head coverage, scalp-based electroencephalography (EEG) provides a unique window into brain-wide networks with neuronal-timescale dynamics, shedding light on the organizing principles of brain functions. Using the state-of-the-art signal processing techniques, we reconstructed cortical neural tomography from resting-state EEG and extracted component-based co-activation patterns (cCAPs). These cCAPs revealed brain-wide intrinsic networks and their dynamics, indicating the configuration/reconfiguration of resting human brains into recurring and transitional functional states, which are featured with the prominent spatial phenomena of global patterns and anti-state pairs of co-(de)activations. Rich oscillational structures across a wide frequency band (i.e., 0.6 Hz, 5 Hz, and 10 Hz) were embedded in the nonstationary dynamics of these functional states. We further identified a superstructure that regulated between-state immediate and long-range transitions involving the entire set of identified cCAPs and governed a significant aspect of brain-wide network dynamics. These findings demonstrated how resting-state EEG data can be functionally decomposed using cCAPs to reveal rich dynamic structures of brain-wide human neural activations. |
| first_indexed | 2024-04-12T06:38:16Z |
| format | Article |
| id | doaj.art-9e2ddab1441241beabb8ace4245a01c2 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-12T06:38:16Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-9e2ddab1441241beabb8ace4245a01c22022-12-22T03:43:48ZengElsevierNeuroImage1095-95722022-10-01260119461Brain-wide neural co-activations in resting humanLei Ding0Guofa Shou1Yoon-Hee Cha2John A. Sweeney3Han Yuan4Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA; Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, USA; Correspondence: Lei Ding, University of Oklahoma, 173 Felgar St. Gallogly Hall, Room 101, Norman, Oklahoma 73019, USA.Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USAUniversity of Minnesota, Minneapolis, MN, USADepartment of Psychiatry, University of Cincinnati, Cincinnati, OH, USAStephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA; Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, USASpontaneous neural activity in human as assessed with resting-state functional magnetic resonance imaging (fMRI) exhibits brain-wide coordinated patterns in the frequency of < 0.1 Hz. However, understanding of fast brain-wide networks at the timescales of neuronal events (milliseconds to sub-seconds) and their spatial, spectral, and transitional characteristics remain limited due to the temporal constraints of hemodynamic signals. With milli-second resolution and whole-head coverage, scalp-based electroencephalography (EEG) provides a unique window into brain-wide networks with neuronal-timescale dynamics, shedding light on the organizing principles of brain functions. Using the state-of-the-art signal processing techniques, we reconstructed cortical neural tomography from resting-state EEG and extracted component-based co-activation patterns (cCAPs). These cCAPs revealed brain-wide intrinsic networks and their dynamics, indicating the configuration/reconfiguration of resting human brains into recurring and transitional functional states, which are featured with the prominent spatial phenomena of global patterns and anti-state pairs of co-(de)activations. Rich oscillational structures across a wide frequency band (i.e., 0.6 Hz, 5 Hz, and 10 Hz) were embedded in the nonstationary dynamics of these functional states. We further identified a superstructure that regulated between-state immediate and long-range transitions involving the entire set of identified cCAPs and governed a significant aspect of brain-wide network dynamics. These findings demonstrated how resting-state EEG data can be functionally decomposed using cCAPs to reveal rich dynamic structures of brain-wide human neural activations.http://www.sciencedirect.com/science/article/pii/S1053811922005778cCAPEEGBrain statesGlobal co-(de)activationsDynamicsLong-range transitions |
| spellingShingle | Lei Ding Guofa Shou Yoon-Hee Cha John A. Sweeney Han Yuan Brain-wide neural co-activations in resting human NeuroImage cCAP EEG Brain states Global co-(de)activations Dynamics Long-range transitions |
| title | Brain-wide neural co-activations in resting human |
| title_full | Brain-wide neural co-activations in resting human |
| title_fullStr | Brain-wide neural co-activations in resting human |
| title_full_unstemmed | Brain-wide neural co-activations in resting human |
| title_short | Brain-wide neural co-activations in resting human |
| title_sort | brain wide neural co activations in resting human |
| topic | cCAP EEG Brain states Global co-(de)activations Dynamics Long-range transitions |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922005778 |
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