Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity
AbstractQuantifying the relationship between the brain’s functional activity patterns and its structural backbone is crucial when relating the severity of brain pathology to disability in multiple sclerosis (MS). Network control theory (NCT) characterizes the brain’s energetic landsc...
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| Format: | Article |
| Language: | English |
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The MIT Press
2023-01-01
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| Series: | Network Neuroscience |
| Online Access: | https://direct.mit.edu/netn/article/7/2/539/113837/Larger-lesion-volume-in-people-with-multiple |
| _version_ | 1797796649988259840 |
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| author | Ceren Tozlu Sophie Card Keith Jamison Susan A. Gauthier Amy Kuceyeski |
| author_facet | Ceren Tozlu Sophie Card Keith Jamison Susan A. Gauthier Amy Kuceyeski |
| author_sort | Ceren Tozlu |
| collection | DOAJ |
| description |
AbstractQuantifying the relationship between the brain’s functional activity patterns and its structural backbone is crucial when relating the severity of brain pathology to disability in multiple sclerosis (MS). Network control theory (NCT) characterizes the brain’s energetic landscape using the structural connectome and patterns of brain activity over time. We applied NCT to investigate brain-state dynamics and energy landscapes in controls and people with MS (pwMS). We also computed entropy of brain activity and investigated its association with the dynamic landscape’s transition energy and lesion volume. Brain states were identified by clustering regional brain activity vectors, and NCT was applied to compute the energy required to transition between these brain states. We found that entropy was negatively correlated with lesion volume and transition energy, and that larger transition energies were associated with pwMS with disability. This work supports the notion that shifts in the pattern of brain activity in pwMS without disability results in decreased transition energies compared to controls, but, as this shift evolves over the disease, transition energies increase beyond controls and disability occurs. Our results provide the first evidence in pwMS that larger lesion volumes result in greater transition energy between brain states and decreased entropy of brain activity. |
| first_indexed | 2024-03-13T03:36:14Z |
| format | Article |
| id | doaj.art-3fd27fde673d491fa06d44817a62fffe |
| institution | Directory Open Access Journal |
| issn | 2472-1751 |
| language | English |
| last_indexed | 2024-03-13T03:36:14Z |
| publishDate | 2023-01-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Network Neuroscience |
| spelling | doaj.art-3fd27fde673d491fa06d44817a62fffe2023-06-23T18:42:21ZengThe MIT PressNetwork Neuroscience2472-17512023-01-017253955610.1162/netn_a_00292Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activityCeren Tozlu0http://orcid.org/0000-0002-6828-886XSophie Card1Keith Jamison2Susan A. Gauthier3Amy Kuceyeski4http://orcid.org/0000-0002-5050-8342Department of Radiology, Weill Cornell Medicine, New York, NY, USAHorace Greeley High School, Chappaqua, NY, USADepartment of Radiology, Weill Cornell Medicine, New York, NY, USADepartment of Radiology, Weill Cornell Medicine, New York, NY, USADepartment of Radiology, Weill Cornell Medicine, New York, NY, USA AbstractQuantifying the relationship between the brain’s functional activity patterns and its structural backbone is crucial when relating the severity of brain pathology to disability in multiple sclerosis (MS). Network control theory (NCT) characterizes the brain’s energetic landscape using the structural connectome and patterns of brain activity over time. We applied NCT to investigate brain-state dynamics and energy landscapes in controls and people with MS (pwMS). We also computed entropy of brain activity and investigated its association with the dynamic landscape’s transition energy and lesion volume. Brain states were identified by clustering regional brain activity vectors, and NCT was applied to compute the energy required to transition between these brain states. We found that entropy was negatively correlated with lesion volume and transition energy, and that larger transition energies were associated with pwMS with disability. This work supports the notion that shifts in the pattern of brain activity in pwMS without disability results in decreased transition energies compared to controls, but, as this shift evolves over the disease, transition energies increase beyond controls and disability occurs. Our results provide the first evidence in pwMS that larger lesion volumes result in greater transition energy between brain states and decreased entropy of brain activity.https://direct.mit.edu/netn/article/7/2/539/113837/Larger-lesion-volume-in-people-with-multiple |
| spellingShingle | Ceren Tozlu Sophie Card Keith Jamison Susan A. Gauthier Amy Kuceyeski Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity Network Neuroscience |
| title | Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| title_full | Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| title_fullStr | Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| title_full_unstemmed | Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| title_short | Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| title_sort | larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity |
| url | https://direct.mit.edu/netn/article/7/2/539/113837/Larger-lesion-volume-in-people-with-multiple |
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