A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum
An important aspect of network-based analysis is robust node definition. This issue is critical for functional brain network analyses, as poor node choice can lead to spurious findings and misleading inferences about functional brain organization. Two sets of functional brain nodes from our group ar...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-02-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S105381191930881X |
| _version_ | 1818961257745612800 |
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| author | Benjamin A. Seitzman Caterina Gratton Scott Marek Ryan V. Raut Nico U.F. Dosenbach Bradley L. Schlaggar Steven E. Petersen Deanna J. Greene |
| author_facet | Benjamin A. Seitzman Caterina Gratton Scott Marek Ryan V. Raut Nico U.F. Dosenbach Bradley L. Schlaggar Steven E. Petersen Deanna J. Greene |
| author_sort | Benjamin A. Seitzman |
| collection | DOAJ |
| description | An important aspect of network-based analysis is robust node definition. This issue is critical for functional brain network analyses, as poor node choice can lead to spurious findings and misleading inferences about functional brain organization. Two sets of functional brain nodes from our group are well represented in the literature: (1) 264 volumetric regions of interest (ROIs) reported in Power et al., 2011, and (2) 333 cortical surface parcels reported in Gordon et al., 2016. However, subcortical and cerebellar structures are either incompletely captured or missing from these ROI sets. Therefore, properties of functional network organization involving the subcortex and cerebellum may be underappreciated thus far. Here, we apply a winner-take-all partitioning method to resting-state fMRI data to generate novel functionally-constrained ROIs in the thalamus, basal ganglia, amygdala, hippocampus, and cerebellum. We validate these ROIs in three datasets using several criteria, including agreement with existing literature and anatomical atlases. Further, we demonstrate that combining these ROIs with established cortical ROIs recapitulates and extends previously described functional network organization. This new set of ROIs is made publicly available for general use, including a full list of MNI coordinates and functional network labels. |
| first_indexed | 2024-12-20T12:10:34Z |
| format | Article |
| id | doaj.art-56c7bae6dd344f17a1e0a9d0ef572fba |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-20T12:10:34Z |
| publishDate | 2020-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-56c7bae6dd344f17a1e0a9d0ef572fba2022-12-21T19:41:15ZengElsevierNeuroImage1095-95722020-02-01206116290A set of functionally-defined brain regions with improved representation of the subcortex and cerebellumBenjamin A. Seitzman0Caterina Gratton1Scott Marek2Ryan V. Raut3Nico U.F. Dosenbach4Bradley L. Schlaggar5Steven E. Petersen6Deanna J. Greene7Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Corresponding author. Washington University in St. Louis, Department of Neurology, 4525 Scott Ave, Box 8111, St. Louis, MO, 63110, USA.Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USADepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USADepartment of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USADepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Occupational Therapy, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USADepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USADepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Dr, St. Louis, MO, 63130, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USADepartment of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USAAn important aspect of network-based analysis is robust node definition. This issue is critical for functional brain network analyses, as poor node choice can lead to spurious findings and misleading inferences about functional brain organization. Two sets of functional brain nodes from our group are well represented in the literature: (1) 264 volumetric regions of interest (ROIs) reported in Power et al., 2011, and (2) 333 cortical surface parcels reported in Gordon et al., 2016. However, subcortical and cerebellar structures are either incompletely captured or missing from these ROI sets. Therefore, properties of functional network organization involving the subcortex and cerebellum may be underappreciated thus far. Here, we apply a winner-take-all partitioning method to resting-state fMRI data to generate novel functionally-constrained ROIs in the thalamus, basal ganglia, amygdala, hippocampus, and cerebellum. We validate these ROIs in three datasets using several criteria, including agreement with existing literature and anatomical atlases. Further, we demonstrate that combining these ROIs with established cortical ROIs recapitulates and extends previously described functional network organization. This new set of ROIs is made publicly available for general use, including a full list of MNI coordinates and functional network labels.http://www.sciencedirect.com/science/article/pii/S105381191930881XSubcorticalCerebellumNetworksResting-stateFunctional connectivity |
| spellingShingle | Benjamin A. Seitzman Caterina Gratton Scott Marek Ryan V. Raut Nico U.F. Dosenbach Bradley L. Schlaggar Steven E. Petersen Deanna J. Greene A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum NeuroImage Subcortical Cerebellum Networks Resting-state Functional connectivity |
| title | A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum |
| title_full | A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum |
| title_fullStr | A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum |
| title_full_unstemmed | A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum |
| title_short | A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum |
| title_sort | set of functionally defined brain regions with improved representation of the subcortex and cerebellum |
| topic | Subcortical Cerebellum Networks Resting-state Functional connectivity |
| url | http://www.sciencedirect.com/science/article/pii/S105381191930881X |
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