diff --git a/template-ONPflorbetaben/README.txt b/template-ONPflorbetaben/README.txt new file mode 100644 index 000000000..7e7cb4754 --- /dev/null +++ b/template-ONPflorbetaben/README.txt @@ -0,0 +1,67 @@ +MIBA Florbetaben Mean SUVR (173 cognitively normal subjects, mean age 70.8 years) +================================================================================= + +Overview +-------- +The Molecular Imaging Brain Atlas (MIBA) was generated by averaging SUVR intensity–normalized +PET images from 173 florbetaben subjects (mean age = 70.8 years, SD = 7.4 years). +Cognitively normal subject data were obtained from the Alzheimer's Disease Neuroimaging +Initiative (ADNI, Version ADNI 3). The atlas (template) is in MNI305 space and represents a group-level +template. + +Data Description +---------------- +This derivatives dataset contains: + +- PET template image in MNI305 space (2 mm resolution), mean SUVR values. +- Associated metadata JSON file describing tracer, processing steps, and source data. +- TSV file with detailed descriptions of template components. +- BIDS-compliant `dataset_description.json` and this `README.txt`. + +Processing Summary +------------------ +Source images were: +- Acquired as four 5-minute frames per subject. +- SUVR-normalized using the whole cerebellum as the reference region. +- Spatially normalized to MNI305 space. +- Averaged across subjects to form the final template. + +Source Dataset +-------------- +Alzheimer’s Disease Neuroimaging Initiative (ADNI) +URL: http://adni.loni.usc.edu +Version: ADNI 3 + +Sample size: 173 cognitively normal human participants. + +Citation & Acknowledgment +------------------------- +Please acknowledge this dataset by citing: + +Eierud C, Norgaard M, Bilgel M, Petropoulos H, Fu Z, Iraji A, Matheson GJ, Ganz M, +Pernet C, Calhoun VD, The Alzheimer’s Disease Neuroimaging Initiative. +"Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET +Independent Component Analysis Framework." Aperture Neuro, 2025. +doi:10.52294/001c.142578 + +When applicable, please also cite ADNI’s official funding statement, +available from http://adni.loni.usc.edu. + +Funding +------- +- National Institutes of Health (NIH), Grant U01AG024904 +- U.S. Department of Defense, Grant W81XWH-12-2-0012 +- National Science Foundation (NSI), Grant 2112455 +- National Institutes of Health (NIH), Grant RF1AG063153 +- Vetenskapsrådet, Grant 2020-06356 +- National Institute on Aging (NIA), Intramural Research Program Grant +- Novo Nordisk Fonden, Grant NN20OC0063277 +- BRAIN Initiative, Grant 1R24MH120004-01A1 + +License +------- +This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). + +BIDS Version +------------ +1.11.1 diff --git a/template-ONPflorbetaben/dataset_description.json b/template-ONPflorbetaben/dataset_description.json new file mode 100644 index 000000000..484dd6d55 --- /dev/null +++ b/template-ONPflorbetaben/dataset_description.json @@ -0,0 +1,51 @@ +{ + "Name": "MIBA Florbetaben Mean SUVR (173 cognitively normal subjects, mean age 70.8 years)", + "BIDSVersion": "1.11.1", + "DatasetType": "derivative", + "GeneratedBy": [ + { + "Name": "PETPrep", + "Version": "2022", + "Description": "The PETPipeline pipeline is a state-of-the-art PET preprocessing pipeline (wrapper) for MATLAB. This pipeline is designed to execute multiple preprocessing steps on BIDS structured datasets that have at least one dynamic PET scan and one anatomical MRI scan. It may be found at https://github.com/mnoergaard/petpipelineMATLAB" + } + ], + "Description": "The Molecular Imaging Brain Atlas (MIBA) was generated by averaging SUVR intensity–normalized PET images from 173 florbetaben subjects (mean=70.8 years, SD=7.4 years). For further details, see the publication 'Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.'. Cognitively normal subject data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI).", + "Authors": [ + "Cyrus Eierud", + "Martin Norgaard", + "Murat Bilgel", + "Helen Petropoulos", + "Zening Fu", + "Armin Iraji", + "Granville J. Matheson", + "Melanie Ganz", + "Cyril Pernet", + "Vince D. Calhoun", + "The Alzheimer’s Disease Neuroimaging Initiative" + ], + "Funding": [ + "National Institutes of Health (NIH), Grant U01AG024904", + "U.S. Department of Defense, Grant W81XWH-12-2-0012", + "National Science Foundation (NSI), Grant 2112455", + "National Institutes of Health (NIH), Grant RF1AG063153", + "Vetenskapsrådet, Grant 2020-06356", + "National Institute on Aging (NIA), Intramural Research Program Grant", + "Novo Nordisk Fonden, Grant NN20OC0063277", + "BRAIN Initiative, Grant 1R24MH120004-01A1" + ], + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI 3" + } + ], + "HowToAcknowledge": "Please acknowledge this dataset by citing the publication: Eierud C, et al. 'Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.' Aperture Neuro, 2025. doi:10.52294/001c.142578", + "SampleSize": 173, + "Species": "Human", + "SpatialReference": "MNI305", + "LevelType": "group", + "DerivedFrom": "18F-florbetaben PET images acquired as four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region.", + "License": "CC-BY-4.0", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"] +} \ No newline at end of file diff --git a/template-ONPflorbetaben/descriptions.json b/template-ONPflorbetaben/descriptions.json new file mode 100644 index 000000000..22f1105fe --- /dev/null +++ b/template-ONPflorbetaben/descriptions.json @@ -0,0 +1,9 @@ +{ + "Description": "Table defining description labels used in the dataset filenames.", + "desc_id": { + "Description": "Description label used in filenames." + }, + "description": { + "Description": "Human-readable explanation of the desc label." + } +} diff --git a/template-ONPflorbetaben/descriptions.tsv b/template-ONPflorbetaben/descriptions.tsv new file mode 100644 index 000000000..fd7518507 --- /dev/null +++ b/template-ONPflorbetaben/descriptions.tsv @@ -0,0 +1,2 @@ +desc_id description +desc-meanSUVR average tracer value standardized by the update value in the cerebellar gray matter diff --git a/template-ONPflorbetaben/tpl-adniflorbetaben/tpl-adniflorbetaben_space-MNI305_res-2_desc-meanSUVR_pet.json b/template-ONPflorbetaben/tpl-adniflorbetaben/tpl-adniflorbetaben_space-MNI305_res-2_desc-meanSUVR_pet.json new file mode 100644 index 000000000..62548a7e2 --- /dev/null +++ b/template-ONPflorbetaben/tpl-adniflorbetaben/tpl-adniflorbetaben_space-MNI305_res-2_desc-meanSUVR_pet.json @@ -0,0 +1,25 @@ +{ + "Name": "MIBA Florbetaben Mean SUVR (MNI305 Space, 2 mm)", + "BIDSVersion": "1.11.1", + "Description": "Group-level PET template generated from 173 cognitively normal subjects in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Images were acquired using 18F-florbetaben PET with four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region, then spatially normalized to MNI305 space (2 mm isotropic resolution) and averaged. The resulting template represents mean SUVR values across all subjects.", + "Modality": "PET", + "TracerName": "Florbetaben", + "Units": "SUVR", + "SpatialReference": "MNI305", + "Resolution": "2mm", + "LevelType": "group", + "SampleSize": 173, + "MeanAge": 70.8, + "AgeSD": 7.4, + "GroupDescription": "Cognitively normal", + "DerivedFrom": "18F-florbetaben PET images acquired as four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region.", + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI 3" + } + ], + "License": "CC-BY-4.0", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"] +} \ No newline at end of file diff --git a/template-ONPflorbetaben/tpl-adniflorbetaben/tpl-adniflorbetaben_space-MNI305_res-2_desc-meanSUVR_pet.nii.gz b/template-ONPflorbetaben/tpl-adniflorbetaben/tpl-adniflorbetaben_space-MNI305_res-2_desc-meanSUVR_pet.nii.gz new file mode 100644 index 000000000..e69de29bb diff --git a/template-ONPflorbetapir/README.txt b/template-ONPflorbetapir/README.txt new file mode 100644 index 000000000..39ee35495 --- /dev/null +++ b/template-ONPflorbetapir/README.txt @@ -0,0 +1,67 @@ +MIBA Florbetapir Mean SUVR (296 cognitively normal subjects, mean age 76.1 years) +================================================================================= + +Overview +-------- +The Molecular Imaging Brain Atlas (MIBA) was generated by averaging SUVR intensity–normalized +PET images from 296 florbetapir subjects (mean age = 76.1 years,SD = 8.0 years). +Cognitively normal subject data were obtained from the Alzheimer's Disease Neuroimaging +Initiative (ADNI, Version ADNI 3). The atlas (template) is in MNI305 space and represents a group-level +template. + +Data Description +---------------- +This derivatives dataset contains: + +- PET template image in MNI305 space (2 mm resolution), mean SUVR values. +- Associated metadata JSON file describing tracer, processing steps, and source data. +- TSV file with detailed descriptions of template components. +- BIDS-compliant `dataset_description.json` and this `README.txt`. + +Processing Summary +------------------ +Source images were: +- Acquired as four 5-minute frames per subject. +- SUVR-normalized using the whole cerebellum as the reference region. +- Spatially normalized to MNI305 space. +- Averaged across subjects to form the final template. + +Source Dataset +-------------- +Alzheimer’s Disease Neuroimaging Initiative (ADNI) +URL: http://adni.loni.usc.edu +Version: ADNI GO/2/3 + +Sample size: 296 cognitively normal human participants. + +Citation & Acknowledgment +------------------------- +Please acknowledge this dataset by citing: + +Eierud C, Norgaard M, Bilgel M, Petropoulos H, Fu Z, Iraji A, Matheson GJ, Ganz M, +Pernet C, Calhoun VD, The Alzheimer’s Disease Neuroimaging Initiative. +"Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET +Independent Component Analysis Framework." Aperture Neuro, 2025. +doi:10.52294/001c.142578 + +When applicable, please also cite ADNI’s official funding statement, +available from http://adni.loni.usc.edu. + +Funding +------- +- National Institutes of Health (NIH), Grant U01AG024904 +- U.S. Department of Defense, Grant W81XWH-12-2-0012 +- National Science Foundation (NSI), Grant 2112455 +- National Institutes of Health (NIH), Grant RF1AG063153 +- Vetenskapsrådet, Grant 2020-06356 +- National Institute on Aging (NIA), Intramural Research Program Grant +- Novo Nordisk Fonden, Grant NN20OC0063277 +- BRAIN Initiative, Grant 1R24MH120004-01A1 + +License +------- +This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). + +BIDS Version +------------ +1.11.1 diff --git a/template-ONPflorbetapir/dataset_description.json b/template-ONPflorbetapir/dataset_description.json new file mode 100644 index 000000000..a51f2d832 --- /dev/null +++ b/template-ONPflorbetapir/dataset_description.json @@ -0,0 +1,51 @@ +{ + "Name": "MIBA Florbetapir Mean SUVR (296 cognitively normal subjects, mean age 76.1 years)", + "BIDSVersion": "1.11.1", + "DatasetType": "derivative", + "GeneratedBy": [ + { + "Name": "PETPrep", + "Version": "2022", + "Description": "The PETPipeline pipeline is a state-of-the-art PET preprocessing pipeline (wrapper) for MATLAB. This pipeline is designed to execute multiple preprocessing steps on BIDS structured datasets that have at least one dynamic PET scan and one anatomical MRI scan. It may be found at https://github.com/mnoergaard/petpipelineMATLAB" + } + ], + "Description": "The Molecular Imaging Brain Atlas (MIBA) was generated by averaging SUVR intensity–normalized PET images from 296 florbetapir subjects (mean=76.1 years, SD=8.0 years). For further details, see the publication 'Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.' Cognitively normal subject data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI).", + "Authors": [ + "Cyrus Eierud", + "Martin Norgaard", + "Murat Bilgel", + "Helen Petropoulos", + "Zening Fu", + "Armin Iraji", + "Granville J. Matheson", + "Melanie Ganz", + "Cyril Pernet", + "Vince D. Calhoun", + "The Alzheimer’s Disease Neuroimaging Initiative" + ], + "Funding": [ + "National Institutes of Health (NIH), Grant U01AG024904", + "U.S. Department of Defense, Grant W81XWH-12-2-0012", + "National Science Foundation (NSI), Grant 2112455", + "National Institutes of Health (NIH), Grant RF1AG063153", + "Vetenskapsrådet, Grant 2020-06356", + "National Institute on Aging (NIA), Intramural Research Program Grant", + "Novo Nordisk Fonden, Grant NN20OC0063277", + "BRAIN Initiative, Grant 1R24MH120004-01A1" + ], + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI GO/2/3" + } + ], + "HowToAcknowledge": "Please acknowledge this dataset by citing the publication: Eierud C, et al. 'Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.' Aperture Neuro, 2025. doi:10.52294/001c.142578", + "SampleSize": 296, + "Species": "Human", + "SpatialReference": "MNI305", + "LevelType": "group", + "DerivedFrom": "18F-florbetapir PET imaging using four 5-minute frames per subject, having been SUVR normalized, using the whole cerebellum as reference", + "License": "CC-BY-4.0", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"] +} \ No newline at end of file diff --git a/template-ONPflorbetapir/descriptions.json b/template-ONPflorbetapir/descriptions.json new file mode 100644 index 000000000..22f1105fe --- /dev/null +++ b/template-ONPflorbetapir/descriptions.json @@ -0,0 +1,9 @@ +{ + "Description": "Table defining description labels used in the dataset filenames.", + "desc_id": { + "Description": "Description label used in filenames." + }, + "description": { + "Description": "Human-readable explanation of the desc label." + } +} diff --git a/template-ONPflorbetapir/descriptions.tsv b/template-ONPflorbetapir/descriptions.tsv new file mode 100644 index 000000000..fd7518507 --- /dev/null +++ b/template-ONPflorbetapir/descriptions.tsv @@ -0,0 +1,2 @@ +desc_id description +desc-meanSUVR average tracer value standardized by the update value in the cerebellar gray matter diff --git a/template-ONPflorbetapir/tpl-adniflorbetapir/tpl-adniflorbetapir_space-MNI305_res-2_desc-meanSUVR_pet.json b/template-ONPflorbetapir/tpl-adniflorbetapir/tpl-adniflorbetapir_space-MNI305_res-2_desc-meanSUVR_pet.json new file mode 100644 index 000000000..af540c575 --- /dev/null +++ b/template-ONPflorbetapir/tpl-adniflorbetapir/tpl-adniflorbetapir_space-MNI305_res-2_desc-meanSUVR_pet.json @@ -0,0 +1,25 @@ +{ + "Name": "MIBA Florbetapir Mean SUVR (MNI305 Space, 2 mm)", + "Description": "Group-level PET template generated from 296 cognitively normal subjects in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Images were acquired using 18F-florbetapir PET with four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region, then spatially normalized to MNI305 space (2 mm isotropic resolution) and averaged. The resulting template represents mean SUVR values across all subjects.", + "Modality": "PET", + "TracerName": "Florbetapir", + "Units": "SUVR", + "SpatialReference": "MNI305", + "Resolution": "2mm", + "LevelType": "group", + "SampleSize": 296, + "MeanAge": 76.1, + "AgeSD": 8.0, + "GroupDescription": "Cognitively normal", + "DerivedFrom": "18F-florbetapir PET images acquired as four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region.", + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI GO/2/3" + } + ], + "License": "CC-BY-4.0", + "BIDSVersion": "1.11.1", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"] +} \ No newline at end of file diff --git a/template-ONPflorbetapir/tpl-adniflorbetapir/tpl-adniflorbetapir_space-MNI305_res-2_desc-meanSUVR_pet.nii.gz b/template-ONPflorbetapir/tpl-adniflorbetapir/tpl-adniflorbetapir_space-MNI305_res-2_desc-meanSUVR_pet.nii.gz new file mode 100644 index 000000000..e69de29bb diff --git a/template-ONPneuromarkflorbetapir/README.txt b/template-ONPneuromarkflorbetapir/README.txt new file mode 100644 index 000000000..ca963e44b --- /dev/null +++ b/template-ONPneuromarkflorbetapir/README.txt @@ -0,0 +1,53 @@ +Florbetapir NeuroMark Independent Component Analysis Template (MNI305 Space, 2 mm) +================================================================================ + +Overview +-------- +This dataset contains an Independent Component Analysis (ICA)-based PET template constructed from cognitively normal subjects in the Alzheimer's Disease Neuroimaging Initiative (ADNI). The template was generated using the NeuroMark PET ICA pipeline. + +Data were derived from 296 subjects with 18F-florbetapir PET scans, SUVR-normalized using the whole cerebellum as the reference region, and resampled to MNI305 space at 2 mm isotropic resolution. ICA was performed using a model order of 40, resulting in 19 spatial components: 17 amyloid-beta networks and 2 cerebellar components. + +Contents +-------- +- dataset_description.json: BIDS metadata describing the dataset, authorship, funding, and citation. +- tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.json: Metadata for this specific template, including listing of the ICA components and their functional labels. +- tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.nii.gz: Spatial maps of ICA components, with voxel intensities representing standardized component weights (z-scored). + + +File Naming Convention +----------------------- +The template file follows BIDS derivative naming: + tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.nii.gz + +Where: +- tpl-adnineuromarkflorbetapir: Describes the source and method of template creation. +- space-MNI305: Registered to MNI305 standard space. +- res-2: 2 mm isotropic resolution. +- desc-ICA: Denotes Independent Component Analysis-derived components. + +Source Data +----------- +All subjects were selected from the ADNI GO/2/3 phases. Raw PET data were acquired using four 5-minute frames per subject and processed using standard SUVR normalization with the whole cerebellum as reference. + +Please refer to the ADNI website for data access policies: +http://adni.loni.usc.edu + +Acknowledgment +-------------- +If you use this dataset, please cite the following publication: + +Eierud C, et al. (2025). *Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework*. Aperture Neuro. https://doi.org/10.52294/001c.142578 + +Please also cite the Alzheimer's Disease Neuroimaging Initiative (ADNI) and acknowledge their funding sources as described at: http://adni.loni.usc.edu + +License +------- +This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). + +Contact +------- +For questions or issues, please contact Cyrus Eierud (ceierud@gsu.edu) + +BIDS Version +------------ +1.11.1 diff --git a/template-ONPneuromarkflorbetapir/dataset_description.json b/template-ONPneuromarkflorbetapir/dataset_description.json new file mode 100644 index 000000000..c13bd5b45 --- /dev/null +++ b/template-ONPneuromarkflorbetapir/dataset_description.json @@ -0,0 +1,55 @@ +{ + "Name": "Florbetapir NeuroMark Independent Component Analysis Template (MNI305 Space, 2 mm)", + "BIDSVersion": "1.11.1", + "DatasetType": "derivative", + "GeneratedBy": [ + { + "Name": "GIFT", + "Version": "v4.0.6.0", + "Description": "The GIFT software implements multiple algorithms for independent component analysis and blind source separation of group imaging data. GIFT may be found at https://github.com/trendscenter/gift" + } + ], + "Description": "Template consisting of 17 amyloid-beta networks and 2 cerebellar independent component networks, according with publication titled Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework. Authors for publication are the same as in the Authors tag in this json file. ICA processing used model order 40 and 296 florbetapir subjects (mean=76.1 years, SD=8.0 years). All subjects were cognitively normal and obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI).", + "Authors": [ + "Cyrus Eierud", + "Martin Norgaard", + "Murat Bilgel", + "Helen Petropoulos", + "Zening Fu", + "Armin Iraji", + "Granville J. Matheson", + "Melanie Ganz", + "Cyril Pernet", + "Vince D. Calhoun", + "The Alzheimer’s Disease Neuroimaging Initiative" + ], + "Funding": [ + "National Institutes of Health (NIH), Grant U01AG024904", + "U.S. Department of Defense, Grant W81XWH-12-2-0012", + "National Science Foundation (NSI), Grant 2112455", + "National Institutes of Health (NIH), Grant RF1AG063153", + "Vetenskapsrådet, Grant 2020-06356", + "National Institute on Aging (NIA), Intramural Research Program Grant", + "Novo Nordisk Fonden, Grant NN20OC0063277", + "BRAIN Initiative, Grant 1R24MH120004-01A1" + ], + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI GO/2/3" + } + ], + "HowToAcknowledge": "Please acknowledge this dataset by citing the publication: Eierud C, et al. 'Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.' Aperture Neuro, 2025. doi:10.52294/001c.142578", + "SampleSize": 296, + "Species": "Human", + "SpatialReference": "MNI305", + "LevelType": "group", + "GroupDescription": "Cognitively normal", + "DerivedFrom": "18F-florbetapir PET images acquired as four 5-minute frames per subject, SUVR-normalized using the whole cerebellum as the reference region.", + "AtlasType": "NeuroMark ICA", + "Modality": "PET", + "TracerName": "Florbetapir", + "License": "CC-BY-4.0", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"] +} \ No newline at end of file diff --git a/template-ONPneuromarkflorbetapir/tpl-adnineuromarkflorbetapir/tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.json b/template-ONPneuromarkflorbetapir/tpl-adnineuromarkflorbetapir/tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.json new file mode 100644 index 000000000..d38205e09 --- /dev/null +++ b/template-ONPneuromarkflorbetapir/tpl-adnineuromarkflorbetapir/tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.json @@ -0,0 +1,54 @@ +{ + "Name": "Florbetapir NeuroMark Independent Component Analysis Template (MNI305 Space, 2 mm)", + "BIDSVersion": "1.11.1", + "Description": "Template consisting of 17 amyloid-beta networks and 2 cerebellar independent component networks, according with publication titled Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework. ICA was performed using a model order of 40.", + "Modality": "PET", + "TracerName": "Florbetapir", + "Units": "Z-scores", + "SpatialReference": "MNI305", + "Resolution": "2mm", + "LevelType": "group", + "SampleSize": 296, + "MeanAge": 76.1, + "AgeSD": 8.0, + "GroupDescription": "Cognitively normal", + "AtlasType": "NeuroMark independent component networks (ICNs)", + "LabelMap": [ + "AU1", "AU2", "SM1", "SM2", "SM3", + "VI1", "VI2", "VI3", "VI4", "VI5", + "CC1", "CC2", "CC3", + "DM1", "DM2", "DM3", "DM4", + "CB1", "CB2" + ], + "ComponentDescription": { + "AU1": "Auditory Network 1", + "AU2": "Auditory Network 2", + "SM1": "Somatosensory Network 1", + "SM2": "Somatosensory Network 2", + "SM3": "Somatosensory Network 3", + "VI1": "Visual Network 1", + "VI2": "Visual Network 2", + "VI3": "Visual Network 3", + "VI4": "Visual Network 4", + "VI5": "Visual Network 5", + "CC1": "Cognitive Control Network 1", + "CC2": "Cognitive Control Network 2", + "CC3": "Cognitive Control Network 3", + "DM1": "Default Mode Network 1", + "DM2": "Default Mode Network 2", + "DM3": "Default Mode Network 3", + "DM4": "Default Mode Network 4", + "CB1": "Cerebellum Network 1", + "CB2": "Cerebellum Network 2" + }, + "DerivedFrom": "18F-florbetapir PET imaging using four 5-minute frames per subject, having been SUVR normalized, using the whole cerebellum as reference.", + "License": "CC-BY-4.0", + "ReferencesAndLinks": ["https://doi.org/10.52294/001c.142578"], + "SourceDatasets": [ + { + "URL": "http://adni.loni.usc.edu", + "Name": "Alzheimer’s Disease Neuroimaging Initiative (ADNI)", + "Version": "ADNI GO/2/3" + } + ] +} diff --git a/template-ONPneuromarkflorbetapir/tpl-adnineuromarkflorbetapir/tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.nii.gz b/template-ONPneuromarkflorbetapir/tpl-adnineuromarkflorbetapir/tpl-adnineuromarkflorbetapir_space-MNI305_res-2_desc-ICA_pet.nii.gz new file mode 100644 index 000000000..e69de29bb