BRAINnet – Innovative Integration Analysis Challenge

From BRAINnet – Brain Research And Integrative Neuroscience Network

The purpose of this challenge is to promote a more integrative and innovative approach to Brain (EEG) – Body (Heart Rate) analysis. Brain Resource is sponsoring the challenge with the winner to receive $5,000USD.

The Challenge

Take 20 EEG and Heart Rate recordings from children diagnosed with ADHD and 20 recordings from a control population, and develop an analysis method that demonstrates any new insight relevant to ADHD using the data. The insight may have a basic science or applied clinical perspective.

Each dataset was recorded during a Go/NoGo paradigm and contains EEG, Heart Rate, respiration and Sweat Rate (skin conductance) channels, as well as stimulus and response information. The data sets are sourced from the Brain Resource International Database via BRAINnet.

BRAINnet is a network of scientists from around the world. Its members have access to a large body of data, including genomic information, elemental brain and body function measures, structural and functional MRI, cognitive and medical history data. These data are from healthy people, and those experiencing a range of different brain-related illnesses. Data are provided freely from the Brain Resource International Database for Independent research and for scientific publication, without requiring contribution of data. For more information see

Participants in the challenge will retain all IP rights in their work and may freely use the data for non-commercial research and scientific publication after the competition has closed.


To obtain the data and program required for the BRAINnet challenge, please visit and follow the links from the homepage.

Alternatively you may contact us at
You will be given access to the following data and software program to do the processing:

  1. 20 files from children diagnosed with ADHD.
  2. 20 files from control subjects with the same age range.
  3. A Java-based program, Jeda, which is needed to extract the data and which should be used for performing the analysis (see
  4. 22 datasets used for demonstrating the power and flexibility of the Jeda program.

Each entry should consist of an account of your method, and should comprise up to 800 words and up to 5 figures. Entries will be accepted from groups as well as individuals.


Judging will be based on:
Demonstrating the most innovative or pragmatic analysis of the EEG – Heart Rate supplied data.

Analysis in any one modality (such as EEG or Heart Rate alone) will be considered, but preference will be given to analyses which combine EEG and Heart Rate measures.

Dr Evian Gordon (CEO Brain Resource) will judge the winner. His decision is final.

Closing Date

December 31, 2009. The name of the winner of the challenge will be published in the next edition of Clinical EEG & Neuroscience Journal.

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