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[MCWG] Molecular Connectivity Newsletter: November 2025

Molecular Connectivity Working Group Newsletter

November 2025

Greetings from the MCWG!

Thank you to everyone who joined us for October’s MCOS with Silvia Caminiti, PhD! Missed it? The recording is available here.

More details and key announcements below!
We hope you enjoy it!


✨ Upcoming MCOS – Special symposium edition! ✨

Date: November 21st, 2025
Time: 15:00 CET, 09:00 EST (expected duration: 1.5h)
Registration: Please register here.
Title: Validating brain connectivity measures: integrating biological, statistical, and clinical evidence
Speaker: Alan Jasanoff, Department of Biological Engineering, MIT, USA
Andrea Hildebrandt, 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

Prof. Dr. Alan Jasanoff
Prof. Dr. Andrea Hildebrandt
Zhen-Qi Liu
Dr. Matej Perovnik

Abstract: 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..


The MCOS promotes rigor in research and resource sharing. We aim to hold MCOS every third Friday of the month, subject to change due to speaker availability. Please stay tuned for MCOS updates and reminders on social media! Thank you!


👩🏻‍🔬 People of MCWG

Each month, we will feature a member of the MCWG and have a brief Q&A!

This month please enjoy our highlight of Prof. Dr. Adriana Tavares, member of the MCWG Steering Committee.

Professor Adriana Tavares is a leading expert in translational molecular imaging at the University of Edinburgh, where she holds a Personal Chair in the Deanery of Clinical Sciences. She also serves as the Head of the Preclinical PET Facility within the Centre for Cardiovascular Science and is affiliated with Edinburgh Imaging. Her research focuses on the development of novel PET radiotracers and advanced image analysis techniques to enhance disease diagnosis, prognosis, and treatment monitoring. Her team is particularly engaged in creating molecular imaging biomarkers and kinetic modeling tools for whole-body PET studies. At the University of Edinburgh, she established the “PET is Wonderful” initiative, aimed at fostering collaboration and innovation in PET imaging research. She is an active member of the European Society of Molecular Imaging (ESMI) and co-chairs its STANDARD group. Additionally, she contributes to the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) and co-leads the UK PET Network’s preclinical subgroup. Professor Tavares has secured significant research funding, including a £1.93 million MRC award for developing the TSPO PET radiotracer [18F]LW223, aimed at detecting regional tissue inflammation. Her extensive publication record and leadership in the field underscore her commitment to advancing molecular imaging technologies for improved healthcare outcomes.

Prof Dr Adriana Tavares has graciously responded to our feature questionnaire:

What sparked your interest in molecular imaging or led you to focus on research in molecular imaging?

My first contact with Nuclear Medicine was when I started my BSc on that topic. I started my degree knowing I wanted to continue studying science, but I wasn’t quite sure how Nuclear Medicine worked and what could be done with radiotracers. As soon as my BSc classes started, I was completely hooked! I loved the idea of being able to look and quantify what is going on inside our cells in our bodies. This was my “Eureka” moment and, from that point onwards, I was sure that was the right career for me.

What is your role in the Molecular Connectivity Working Group, and what have you been contributing to or working on within the group?

I’m currently a member of the Molecular Connectivity Working Group and have been contributing with presentations on preclinical network analysis of PET datasets. 

In what ways do you imagine molecular connectivity will advance our understanding of brain function?

I think it has already advanced our understanding of brain function over the years and, as new methodology comes to fore, I expect the impact to increase. For example, I envision a scenario where brain-body connectivity could inform how the multiple body systems are controlled by the brain and vice-versa. 

What do you think are the most important challenges in current brain connectivity research, or which unsolved/underappreciated issues should the community address?

I think an important unaddressed challenge is how the brain connectivity tools could migrate from research into clinical practice. This has not really happened for most (if not all) of the tools and I think it would be worthwhile investigating and addressing the reasons underlying this observation, so the community can move forward from seeing the connectivity tools almost exclusively as research tools to more integrated clinical techniques. 

What is your favorite mentoring memory—either a story about a mentor’s impact on you or your impact on a mentee?

One of my mentors once said that developing and communicating innovative tools can only be appreciated by peers and the wider community if well contextualised in terms of background (what exists now) and expected impact (what will change after implementing the new tool), otherwise the message will be lost in translation. At the time, they gave me an unexpected and hard to forget analogy: good science without context is like feeding pearls to pigs. 

What scientist or scientific achievement do you most admire?

As a major radionuclide “fan” and a female scientist, I have great admiration for all scientific achievements by Maria Salomea Skłodowska-Curie.


🧠 New Studies Spotlight

📝 Multimodal metabolic and functional network signatures for diagnosis of parkinson’s disease: a PET/MR study

In this study, integrated PET/MR and Jensen-Shannon similarity estimation (JSSE) was employed to investigate metabolic/functional network dynamics in Parkinson’s disease (PD).

Read the full study in Scientific Reports.

Key Findings:

  • PD patients exhibited elevated SUVR in temporal and thalamic regions but reduced SUVR in parietal/precentral areas.
  • Metabolic networks in PD showed increased assortativity yet decreased normalized clustering coefficients and disrupted small-worldness. Ten metabolic connections were impaired, with the left caudate-temporal pathway showing the strongest reduction. PD demonstrated significantly higher metabolic-functional network correlations than NCs. 
  • The findings reveal PD-associated metabolic reorganization and validate PET/MR-derived network features as potential biomarkers.

📝 Brain networks involved in cancer treatment response: insights from 18F-FDG PET scans

An exploratory retrospective study of two independent cohorts evaluated metabolic brain network scores from pre-treatment 18F-FDG PET scans and their ability to stratify good versus poor responders using ROC analysis (AUC). Longitudinal changes in network scores were assessed across follow-up, and progression-free survival (PFS) and overall survival (OS) analyses were performed in the melanoma cohort. 

Read the full study preprint in Phys Med Bio.

Key Findings:

  • Specific brain networks were associated with treatment outcome; the cognition/language network was the strongest predictor (AUC > 0.84 for distinguishing good vs. poor responders in both cohorts). Good responders showed lower cognition/language scores than poor responders and healthy controls. 
  • Longitudinally, cognition/language scores remained stable in good responders, while poor responders exhibited a gradual convergence toward the scores observed in good responders. In the melanoma cohort, lower cognition/language scores were significantly associated with longer PFS and OS.
  • These findings indicate that metabolic brain network patterns, particularly the cognition/language network, may serve as noninvasive biomarkers linked to treatment efficacy and survival in oncology. The results support a possible complex interaction between brain metabolism, immune response, and clinical outcomes.

📝 Test-retest reproducibility of structural and proxy estimates of brain connectivity at rest

This study compared test-retest reproducibility of group-level structural connectivity, functional connectivity, intersubject covariance of regional gray matter volume (GMVcov), and intersubject covariance of regional [18F]Fluorodeoxyglucose uptake (FDGcov) in the same 55 healthy subjects at rest using a simultaneous PET/MRI acquisition protocol. 

Read the full study preprint in NeuroImage.

Key Findings:

  • Across all estimates stronger connections exhibit highest test-retest reproducibility.
  • Structural connectivity is the most reproducible estimate of brain connectivity.
  • Intersubject covariance of regional [18F]Fluorodeoxyglucose uptake tops proxy estimates. Among the proxy estimates, the highest absolute present connections was found for FDGcov. FDGcov enables to study brain connectivity in a reproducible manner over the largest part of the brain.
  • Thresholding boosts connection reproducibility.

Call for announcements, job opportunities, information and news!

The MCWG Outreach Council invites you to submit announcements or information about papers, conferences, presentations or other events or news related to brain and molecular connectivity as well as any positions available or job opportunities that you wish to publicize and share with the community!

Please submit any material for consideration by the final day of each month using this form – thank you!


Who we are

The MCWG is made up of four international and multidisciplinary councils dedicated to promoting molecular connectivity research via dissemination of methods, results, collaboration, and resource sharing (e.g. datasets, tools) within the scientific community. We encourage the neuroscientific community to take an integrative perspective in study of the brain connectome, where various methods including MRI-based techniques, electrophysiological tools, and molecular imaging advance our understanding of the brain. Please find fundamental questions outlined here: “Brain connectomics: time for a molecular imaging perspective?”

Our website can be found here. We also invite you to join the MCWG!


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