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This is the recording of the sixteenth seminar of the Molecular Connectivity Online series. More info on upcoming seminars is available at molecularconnectivity.com/events.

This is a virtual repeat of OHBM symposium.

Date: November 21st, 2025

Time: 15:00 CEST, 9:00 EDT

Topic: Validating brain connectivity measures: integrating biological, statistical, and clinical evidence

Speakers:
Alan Jasanoff, Department of Biological Engineering, MIT, USA
Daniel Kristanto, Andrea Hildebrant, Department of Psychology, University of Oldenburg, Germany
Zhen-Qi Liu, Montreal Neurological Institute, McGill University, Canada
Matej Perovnik, Department of Neurology, University of Ljubljana University, Slovenia

Moderators: Christian Habeck, Daniel Talmasov, and Arianna Sala

Abstract: (Please keep it short so that it can fit in the poster.)
In this symposium, we will show how validation frameworks across biological, statistical and clinical dimensions help ground our interpretation of connectivity measures, establishing more reliable tools for both basic neuroscience and clinical applications. After a short introduction on the concept of validation by the organizers, Alan Jasanoff will tackle biological validation, showing how a novel genetically encoded activity reporter in animal models can inform the biological basis of fMRI brain connectivity. Second, Andrea Hildebrandt will show how a systematic characterization of the brain connectivity multiverse can provide valuable insights into assessment of statistical robustness across analytical choices as a prerequisite for enhancing replicability. Third, Zhen-Qi Liu will provide an overview of the properties of MR, MEG and PET brain connectivity measures, highlighting which metrics possess desirable statistical and biological properties. Last, Matej Perovnik will show a real-life example of systematic clinical validation based on PET brain networks.