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URL: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases
Proper Citation: Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476)
Description: Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School.
Abbreviations: Atlases
Synonyms: , Harvard Oxford Cortical Structural Atlas, Harvard-Oxford cortical and subcortical structural atlases, Harvard Oxford Atlas
Resource Type: atlas, data or information resource, reference atlas
Keywords: male, female, t1-weighted image, cortical, subcortical, neuroanatomy, cortex
Related Condition: Healthy
Funding: NCRR R01 RR16594-01A1; NIMH K01 MH01798; NIMH K08 MH01573; NINDS R01 NS052585-01
Availability: Free, Freely available
Resource Name: Harvard - Oxford Cortical Structural Atlas
Resource ID: SCR_001476
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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