Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena
Summary: Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile thes...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | Cell Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124723002656 |
| _version_ | 1797860246113222656 |
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| author | Aditya Nanda Graham W. Johnson Yu Mu Misha B. Ahrens Catie Chang Dario J. Englot Michael Breakspear Mikail Rubinov |
| author_facet | Aditya Nanda Graham W. Johnson Yu Mu Misha B. Ahrens Catie Chang Dario J. Englot Michael Breakspear Mikail Rubinov |
| author_sort | Aditya Nanda |
| collection | DOAJ |
| description | Summary: Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations. |
| first_indexed | 2024-04-09T21:42:18Z |
| format | Article |
| id | doaj.art-ca46cccb77b2404a8205469ebf461cbc |
| institution | Directory Open Access Journal |
| issn | 2211-1247 |
| language | English |
| last_indexed | 2024-04-09T21:42:18Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cell Reports |
| spelling | doaj.art-ca46cccb77b2404a8205469ebf461cbc2023-03-26T05:16:36ZengElsevierCell Reports2211-12472023-04-01424112254Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomenaAditya Nanda0Graham W. Johnson1Yu Mu2Misha B. Ahrens3Catie Chang4Dario J. Englot5Michael Breakspear6Mikail Rubinov7Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA; Corresponding authorDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USAInstitute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, ChinaJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USADepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37235, USA; Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USADepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA; Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USASchool of Psychology, University of Newcastle, Callaghan, NSW 2308, Australia; School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, AustraliaDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA; Corresponding authorSummary: Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations.http://www.sciencedirect.com/science/article/pii/S2211124723002656CP: Neuroscience |
| spellingShingle | Aditya Nanda Graham W. Johnson Yu Mu Misha B. Ahrens Catie Chang Dario J. Englot Michael Breakspear Mikail Rubinov Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena Cell Reports CP: Neuroscience |
| title | Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena |
| title_full | Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena |
| title_fullStr | Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena |
| title_full_unstemmed | Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena |
| title_short | Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena |
| title_sort | time resolved correlation of distributed brain activity tracks e i balance and accounts for diverse scale free phenomena |
| topic | CP: Neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2211124723002656 |
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