A precision functional atlas of personalized network topography and probabilities.
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| Title: | A precision functional atlas of personalized network topography and probabilities. |
|---|---|
| Authors: | Hermosillo, Robert J. M. (AUTHOR), Moore, Lucille A. (AUTHOR), Feczko, Eric (AUTHOR), Miranda-Domínguez, Óscar (AUTHOR), Pines, Adam (AUTHOR), Dworetsky, Ally (AUTHOR), Conan, Gregory (AUTHOR), Mooney, Michael A. (AUTHOR), Randolph, Anita (AUTHOR), Graham, Alice (AUTHOR), Adeyemo, Babatunde (AUTHOR), Earl, Eric (AUTHOR), Perrone, Anders (AUTHOR), Carrasco, Cristian Morales (AUTHOR), Uriarte-Lopez, Johnny (AUTHOR), Snider, Kathy (AUTHOR), Doyle, Olivia (AUTHOR), Cordova, Michaela (AUTHOR), Koirala, Sanju (AUTHOR), Grimsrud, Gracie J. (AUTHOR) |
| Source: | Nature Neuroscience. May2024, Vol. 27 Issue 5, p1000-1013. 14p. |
| Abstract: | Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases—the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely. The Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas is a resource of personalized brain network topographies (n = 9,900). It also provides a probabilistic atlas and integration zones across diverse magnetic resonance imaging (MRI) datasets and ages. The atlas increases the reliability of brain-wide association studies (BWAS) and improves targeting for neuromodulation. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 177190296 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41593-024-01596-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1000 Titles: – TitleFull: A precision functional atlas of personalized network topography and probabilities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hermosillo, Robert J. M. – PersonEntity: Name: NameFull: Moore, Lucille A. – PersonEntity: Name: NameFull: Feczko, Eric – PersonEntity: Name: NameFull: Miranda-Domínguez, Óscar – PersonEntity: Name: NameFull: Pines, Adam – PersonEntity: Name: NameFull: Dworetsky, Ally – PersonEntity: Name: NameFull: Conan, Gregory – PersonEntity: Name: NameFull: Mooney, Michael A. – PersonEntity: Name: NameFull: Randolph, Anita – PersonEntity: Name: NameFull: Graham, Alice – PersonEntity: Name: NameFull: Adeyemo, Babatunde – PersonEntity: Name: NameFull: Earl, Eric – PersonEntity: Name: NameFull: Perrone, Anders – PersonEntity: Name: NameFull: Carrasco, Cristian Morales – PersonEntity: Name: NameFull: Uriarte-Lopez, Johnny – PersonEntity: Name: NameFull: Snider, Kathy – PersonEntity: Name: NameFull: Doyle, Olivia – PersonEntity: Name: NameFull: Cordova, Michaela – PersonEntity: Name: NameFull: Koirala, Sanju – PersonEntity: Name: NameFull: Grimsrud, Gracie J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 27 – Type: issue Value: 5 Titles: – TitleFull: Nature Neuroscience Type: main |
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