NiCK Study
Magnetic Resonance Imaging (MRI) Analysis and Neurocognitive Assessment of Children and Young Adults with Chronic Kidney Disease (CKD) "NiCK" Study
Multimodal brain MRI of children and young adults aged 8 to 25 with chronic kidney disease and matched healthy controls, collected to relate kidney function, anemia and blood pressure to brain structure, perfusion, connectivity and neurocognitive test results.
Overview
The NiCK Study (Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease) is a cross-sectional cohort from the Children's Hospital of Philadelphia (CHOP) and the University of Pennsylvania. It pairs a non-contrast multimodal brain MRI with traditional and computerized neurocognitive testing and clinical phenotyping, including 24-hour ambulatory blood pressure, to study how reduced kidney function, anemia and hypertension relate to brain structure, perfusion and connectivity. CHOP released the de-identified research data on Harvard Dataverse in 2025.
Composition
The dataset page describes 90 participants aged 8 to 25 with CKD stages 2 to 5, including patients on dialysis and after kidney transplant, and 70 controls matched on age and socioeconomic status. Some CKD participants with a marked change in kidney function, and a group with stable function, were scanned again at least six months later; files with a _2 or _2C suffix mark these second visits. Published analyses used 85 CKD and 63 control participants for structural MRI and 73 CKD and 57 control participants for arterial spin labeling. The deposit also holds a de-identified REDCap export of clinical and neurocognitive data with its data dictionary, medication lists and a scanner configuration file.
Acquisition
All scans were acquired without sedation on a 3T Siemens Verio with a 32-channel head coil between 2011 and 2014. The protocol paper lists 3D T1 MPRAGE, T1 FLASH, T2 FLAIR, proton density/T2, diffusion tensor imaging (30 directions, b = 1000), a GRE field map, resting-state BOLD fMRI and pseudocontinuous ASL. Images are shared as one DICOM archive per participant encounter with identifiers removed from the headers. Pulse oximetry recorded by the scanner's physiological monitoring unit during the scan is shared as separate files.
Known limitations
The dataset page does not state which sequences each archive contains, so per-contrast counts here come from the analysed samples of the two imaging papers and are lower bounds. The cohort is from a single center. Use is limited to non-profit research under a revocable CHOP license, copies may not be passed on, and the data must be destroyed after use.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 160 subjects.
Contrast / sequence
Groups can overlap
- T1-weighted 148 93%
- Arterial spin labeling 130 81%
Abstract in Hartung et al. 2018, Brain MRI findings in children and young adults with CKD, Am J Kidney Dis; Abstract in Liu et al. 2018, Regional cerebral blood flow in children and young adults with CKD, Radiology
Scanner vendor
- Siemens Healthineers 160 100%
Research Data series information in NiCK Study dataset page on Harvard Dataverse, version 1.1
Country
- United States 160 100%
Methods/design in Hartung et al. 2015, Design and methods of the NiCK study, BMC Nephrology 16:66
Condition
Groups can overlap
- Chronic kidney disease 90 56%
- Healthy control 70 44%
Description in NiCK Study dataset page on Harvard Dataverse, version 1.1
Field strength
- 3 T 160 100%
Research Data series information in NiCK Study dataset page on Harvard Dataverse, version 1.1
Condition by contrast / sequence
Reported cross table. A dot marks a cell the source does not give.
| T1-weighted | Arterial spin labeling | |
|---|---|---|
| Chronic kidney disease | 85 | 73 |
| Healthy control | 63 | 57 |
Abstract in Hartung et al. 2018, Brain MRI findings in children and young adults with CKD, Am J Kidney Dis; Abstract in Liu et al. 2018, Regional cerebral blood flow in children and young adults with CKD, Radiology
Other reported numbers 8
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Create an account and accept terms online
Files are downloaded from Harvard Dataverse after filling in a guestbook with name, email and institution and accepting the CHOP terms of use. The file listing sums to about 35.2 GB.
Children's Hospital of Philadelphia terms of use for the NiCK Study on Harvard Dataverse
A revocable license from the Children's Hospital of Philadelphia for non-profit research only, accepted through a Dataverse guestbook that records name, email and institution. Copies may not be passed on, re-identification is forbidden, publications must cite and acknowledge CHOP, and the data must be destroyed after use.
What you can do
- No
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Conditional
What you can share
- No
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Yes
- Share alike No
- Yes
- Ethics approval No
- Manuscript review No
- Release code No
- Return results No
- Yes
Limits
- Yes
- Conditional
Commercial license: Not stated The terms state that exceptions may be granted with express permission from CHOP; no paid commercial license is advertised.
Citation
Furth S, Laney N, Hartung E, Moodalbail D, Ruebner R, Radcliffe J, Hooper S, Gur R, Davatzikos C, Erus G, Doshi J, Detre J, Liu H-S, Herrington J, Jawad A. Magnetic Resonance Imaging (MRI) Analysis and Neurocognitive Assessment of Children and Young Adults with Chronic Kidney Disease (CKD) "NiCK" Study. Version 1.1. Harvard Dataverse; 2025. https://doi.org/10.7910/DVN/E7TAHQ
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- NiCK Study dataset page on Harvard Dataverse, version 1.1 website
- Hartung et al. 2015, Design and methods of the NiCK study, BMC Nephrology 16:66 paper
- Hartung et al. 2018, Brain MRI findings in children and young adults with CKD, Am J Kidney Dis paper
- Liu et al. 2018, Regional cerebral blood flow in children and young adults with CKD, Radiology paper