Automated Organization Profile

Barrow Neurological Institute

Current S-Index

37.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

38

Total datasets in this organization

Average FAIR Score

75.6%

Average FAIR Score per dataset

Total Citations

35

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Quantified Volumes of White Matter Hyperintensity Spatial Patterns Generated by Voxel-Based Spectral Clustering

This dataset includes 1,046 unique individuals from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort who were selected based on the availability of baseline 3T structural MRI scans, including FLAIR and MPRAGE sequences. For each participant, demographic information such as age at scan, sex, and race is provided, along with medical history details including hypertension, diabetes, and hypercholesterolemia, as well as social history factors like alcohol use and smoking. The dataset features quantified total white matter hyperintensity (WMH) volume and volumes of five distinct WMH spatial patterns identified through voxel-based spectral clustering. These spatial patterns represent anatomically and potentially pathophysiologically unique WMH subtypes derived from advanced voxel-wise clustering analysis. The data were generated from harmonized baseline MRI, enabling standardized comparison across individuals. This comprehensive dataset supports research into WMH heterogeneity and its associations with demographic, medical, and lifestyle factors in aging and neurodegenerative diseases.

Authors

  • Phuah, Chia-Ling
0 Citations0 Mentions79% FAIR0.5 Dataset Index
10.5281/zenodo.171028512025

Quantified Volumes of White Matter Hyperintensity Spatial Patterns Generated by Voxel-Based Spectral Clustering

This dataset includes 1,046 unique individuals from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort who were selected based on the availability of baseline 3T structural MRI scans, including FLAIR and MPRAGE sequences. For each participant, demographic information such as age at scan, sex, and race is provided, along with medical history details including hypertension, diabetes, and hypercholesterolemia, as well as social history factors like alcohol use and smoking. The dataset features quantified total white matter hyperintensity (WMH) volume and volumes of five distinct WMH spatial patterns identified through voxel-based spectral clustering. These spatial patterns represent anatomically and potentially pathophysiologically unique WMH subtypes derived from advanced voxel-wise clustering analysis. The data were generated from harmonized baseline MRI, enabling standardized comparison across individuals. This comprehensive dataset supports research into WMH heterogeneity and its associations with demographic, medical, and lifestyle factors in aging and neurodegenerative diseases.

Authors

  • Phuah, Chia-Ling
0 Citations0 Mentions79% FAIR0.4 Dataset Index
10.5281/zenodo.168879672025

Quantified Volumes of White Matter Hyperintensity Spatial Patterns Generated by Voxel-Based Spectral Clustering

This dataset includes 1,046 unique individuals from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort who were selected based on the availability of baseline 3T structural MRI scans, including FLAIR and MPRAGE sequences. For each participant, demographic information such as age at scan, sex, and race is provided, along with medical history details including hypertension, diabetes, and hypercholesterolemia, as well as social history factors like alcohol use and smoking. The dataset features quantified total white matter hyperintensity (WMH) volume and volumes of five distinct WMH spatial patterns identified through voxel-based spectral clustering. These spatial patterns represent anatomically and potentially pathophysiologically unique WMH subtypes derived from advanced voxel-wise clustering analysis. The data were generated from harmonized baseline MRI, enabling standardized comparison across individuals. This comprehensive dataset supports research into WMH heterogeneity and its associations with demographic, medical, and lifestyle factors in aging and neurodegenerative diseases.

Authors

  • Phuah, Chia-Ling
0 Citations0 Mentions79% FAIR0.4 Dataset Index
10.5281/zenodo.168879662025

I-CARE: International Cardiac Arrest REsearch consortium electroencephalography database - Brain Continuity Index (Version: 9)

The International Cardiac Arrest REsearch consortium (I-CARE) database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.

Authors

  • Amorim, Edilberto ;
  • Zheng, Wei-Long ;
  • Lee, Jong Woo ;
  • Herman, Susan ;
  • Ghassemi, Mohammad ;
  • Sivaraju, Adithya ;
  • Gaspard, Nicolas ;
  • Hofmeijer, Jeannette ;
  • van Putten, Michel J. A. M. ;
  • Reyna, Matthew ;
  • Clifford, Gari ;
  • Westover, M. Brandon
3 Citations0 Mentions69% FAIR1.5 Dataset Index
10.5061/dryad.2fqz612zv2024

Additional file 6 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 6

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.279242412024

Additional file 9 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 9

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.279242502024

Additional file 9 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 9

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.27924250.v12024

Additional file 10 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 10

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.279242532024

Additional file 10 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 10

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.27924253.v12024

Additional file 11 of Down syndrome frontal cortex layer III and layer V pyramidal neurons exhibit lamina specific degeneration in aged individuals

Supplementary Material 11

Authors

  • Alldred, Melissa J. ;
  • Ibrahim, Kyrillos W. ;
  • Pidikiti, Harshitha ;
  • Chiosis, Gabriela ;
  • Mufson, Elliott J. ;
  • Stutzmann, Grace E. ;
  • Ginsberg, Stephen D.
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.279242562024