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PREVENT-AD open Dataset

The PREVENT‑AD (Pre‑symptomatic Evaluation of Alzheimer’s Disease) cohort consists of cognitively healthy participants aged 55 + who are at risk of developing Alzheimer’s disease (AD) because a parent and/or sibling is affected. Since 2011, these high‑risk participants have been followed in a naturalistic study of the pre‑symptomatic phase of AD using multimodal measurements of various disease markers. A clinical trial testing a drug preventive agent has also been conducted. The PREVENT‑AD research team is now publicly releasing the data to support the growing community demand for AD pathogenesis research.

Updated 11/12/2021
github

Description

PREVENT‑AD Open Dataset Overview

Dataset Overview

PREVENT‑AD (Pre‑symptomatic Evaluation of Alzheimer’s Disease) cohort consists of cognitively healthy participants older than 55 years who are at risk of developing Alzheimer’s disease (AD) because a parent and/or sibling is affected. Since 2011, these “high‑risk” participants have been studied naturally with multimodal measurements of various disease markers to investigate the pre‑symptomatic stage of AD. In addition, a clinical trial testing a drug preventive agent has been performed.

Data Organization

The dataset is organized using a candidate_id/visit_label hierarchy:

preventad-open
|__DATS.json
|__candidate_id
   |__candidate.json
   |__visit_label
      |__visit.json
      |__handedness.json
      |__images
         |__image_1.mnc
         |__image_2.mnc
         |__image_3.mnc
  • DATS.json: JSON file describing the dataset contents.
  • candidate.json: Basic demographic information of the participant.
  • visit.json: Visit‑level information.
  • handedness.json: When available, contains results from the Edinburgh Handedness Inventory.
  • Images are provided in MINC format.

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Topics

Alzheimer's Disease
Clinical Trials

Source

Organization: github

Created: 4/24/2019

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