Prof. Ilias Tachtsidis leads the Reliability Working Group and is supported by specialists representing different types of neurotechnology:

Co-leading on the MRI committee is Dr Jonathan O’Muircheartaigh (King’s College London) and Dr Jennifer Cooke (King’s College London).  Co-leading on the EEG committee is Dr Lorenzo Fabrizi (UCL) and Dr Kimberley Whitehead (King’s College London).  Co-leading on the fNIRS committee is Dr Paola Pinti (Birkbeck\UCL) and Dr Chiara Bulgarelli (Birkbeck, University of London). 

The steering committee have set-up working groups to start drafting a white paper on the topic of “Reliability of Neurotechnologies in Neurodevelopmental Research and Clinical Applications.”  You can join this working group by becoming a member of the network and expressing your interest or existing members can use the contact form to specify and update their preferences.

Increasing the reliability of data acquisition and analysis are key to detecting early differences in brain and cognitive development.  The network will work towards establishing standardising approaches within technologies, such as EEG, fNRIS, fMRI, MEG, ultrasound, eye-tracking or apps but also across technologies to improve comparability of data acquired by different teams or in different settings.  For example, one of the goals of the network is to work towards a consensus as a community about what is the most reliable method for pre-processing and analysis of neuroimaging data when looking at neurodevelopment applications.  From this we can identify the common challenges of assessing reliability across the board and learn from each other.