This repository provides updates, corrections, and additional information on study details, along with a list of research outputs related to the PEARL-Neuro Dataset. This dataset was released in the spirit of enhancing Open Science and is available for free.
- Data Descriptor of the dataset
- Data Repository at OpenNeuro: includes a brief description of the dataset
To download the dataset, visit the Download Page of the OpenNeuro repository. The dataset, prepared in BIDS format, can be downloaded using Node.js, Amazon S3, DataLad, Git Annex, or a shell script.
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*Data for 07/2024
Important
Please inform us of any research outputs related to the shared data, including publications, preprints, posters, abstracts, talks, and any commercial usage. This is crucial for ensuring transparency and informing users about the analyses already performed on this dataset. Additionally, such information can foster collaboration.
You can contact us via the emails listed below or connect with us on LinkedIn.
- Dzianok P, Kublik E. Altered granulocyte count and erythrocyte measures in middle-aged, healthy carriers of APOE and PICALM risk genes for Alzheimer's disease. Acta Neurobiol Exp. 2023;83(2):127-139. DOI: 10.55782/ane-2023-012
- [bioRxiv PREPRINT] Dzianok P, Wojciechowski J, Wolak T, Kublik E. Alzheimer’s disease-like features in resting state EEG/fMRI of cognitively intact and healthy middle-aged APOE/PICALM risk carriers. bioRxiv 2024.06.20.599857. DOI: 10.1101/2024.06.20.599857
- Preprint available soon: Cognitive resilience or vulnerability? The role of APOE/PICALM variants in attention and memory tasks among healthy individuals
- Preprint available soon: The impact of APOE/PICALM genetic variations on cortical thickness in healthy, middle-aged Alzheimer’s disease risk carriers
Structural MRI data are protected and available upon request. To access this data, please contact us. You will need to sign a Data Use Agreement (DUA) to gain access to these data (access granted for researchers).
Description of the MRI data: MRI experiments were conducted using a Siemens Prisma FIT 3T scanner (Siemens Medical Systems, Erlangen, Germany) equipped with a 64-channel phased-array RF head coil. Structural images were acquired with the following parameters: a repetition time (TR) of 2400 ms, an inversion time (TI) of 1000 ms, an echo time (TE) of 2.74 ms, a flip angle of 8 degrees, a field of view (FOV) of 256x256 mm, and a voxel size of 0.8x0.8x0.8 mm. The total acquisition time (TA) for T1-weighted images was 6 minutes and 52 seconds. All MRI files underwent "defacing" using the fsl_deface algorithm (FSL 6.0.6.4 software on Ubuntu).
The research was funded by the Polish National Science Center (NCN) grant no. 2018/31/N/HS6/03551.