Network Neuroscience 2026

About

Ever-improving brain data acquisition techniques across species, scales, and modalities, and the embracement of open science and collaboration globally, means that the past few years have seen an acceleration in data collection and quality. Ever-increasing dataset sizes coupled with rich molecular, whole body, behavioural, and clinical information, demand novel approaches that are capable of taming and synthesizing these complex and multimodal features. Placing the brain within a context of complex systems and network science is therefore critical to progress. Network Neuroscience has emerged as a transdisciplinary field that draws from and contributes to multiple areas of science in the ultimate quest to undertsand the brain.

Network Neuroscience 2026 will, for the 12th year running, provide an opportunity for participants with diverse backgrounds to present cutting-edge research and exchange ideas across disciplinary boundaries.

Call for Contributions

We invite contributions from all areas of network neuroscience, including but not limited to:

Brain -omics networks
Structural brain networks
Functional brain networks
Network theory, modeling and analysis
Network communication and information flow
Circuit dynamics
Brain-behavior interactions
Systems neuroscience
Fundamental and clinical neuroscience applications
Brain-body network science
Classical and deep learning for brain networks
Spatio-temporal brain network models

Submissions are open for oral contributions and poster presentations. Submit your abstract here by March 13th in the format of a one-page pdf with one figure. Posters may be presented at both the satellite and at the main conference. Abstracts already accepted as oral presentations at NetSci'26 will not be selected for contributing talks at the satellite.

Note that you must register for NetSci to attend (there is an option to select only the satellite sessions and school) and the early bird registration deadline is March 20th.

Registration

Network Neuroscience is a satellite of the NetSci conference. You can register for Network Neuroscience through the NetSci website - select "Satellite events only" if you only wish to attend Network Neuroscience and other satellites. Please note that the early registration deadline is 20th March 2026.

Register here

Speakers

Monica Rosenberg

Department of Psychology

University of Chicago

Rick Betzel

Department of Neuroscience

University of Minnesota

Maria Pope

Department of Neurobiology

University of Chicago

Yasser Iturria Medina

Department of Neurology and Neurosurgery

Montreal Neurological Institute-Hospital

Ashish Raj

School of Medicine

UCSF

Schedule

Network Neuroscience 2026 will be held on Monday June 1st in Boston as a satellite of the International School and Conference on Network Science (NetSci 2026). Further details on the specific location of our satellite will follow.

Registration

9:00am: Opening remarks

9:05am: TBC
Maria Pope

9:50am: Topological Higher-Order Features for Brain Network State Classification
Wafa Skhiri, Fabrizio De Vico Fallani
10:05am: Synergy mediates Long-Range Correlations in the Visual Cortex Near Criticality
Hardik Rajpal, Cedric Stefens, Meghdad Saeedian, Joe Canzano, Michael Kareithi, Mauricio Barahona, Spencer Smith, Simon Schults and Henrik Jeldtoft Jensen.

10:20am: QUIET: Quantifying Underutilized Influential Edges for Targeted Synchronization
Sovesh Mohapatra, Christoffer Gretarsson Alexandersen, Panagiotis Fotiadis and Dani S Bassett.

10:35am: Coffee Break and Posters

11:00am: TBC
Rick Betzel

11:45am: Bicommunities of the Directed Human Connectome
Alexandre Cionca, Chun Hei Michael Chan, Francesca Saviola, Maciej Jedynak, Yasser Alemá-Gómez, Saina Asadi, Arthur Spencer, Olivier David, Ileana Jelescu, Patric Hagmann, Maria Giulia Preti and Dimitri Van De Ville.

12:00pm: Investigating the Whole-Body-Brain Connectome: Multi-Organ Network Dynamics
Leah Banellis, Dani Bassett and Micah Allen.

12:15pm: Gene Gradients Reveal Directed Structural Connectivity Across Species
Benjamin Sipes, Ashish Raj.

12:30pm: Lunch Break and Posters

2:30pm: TBC
Monica Rosenberg

3:15pm: TBC
Ashish Raj

4:00pm: Coffee Break and Posters

4:30pm: TBC
Yasser Iturria-Medina

5:00: Compressibility of Neuronal Activity Across Dynamical Regimes
Lochan Chaudhari, Brennan Klein.
5:15pm: Distributed Information Bottleneck Reveals a Minimal Transcriptomic Signature of Alpha-Synuclein Pathology
Chanchal Bajoria, Julia Brynildsen, Michael Henderson and Dani Bassett.

5:30pm: Closing remarks

5:35pm - 6:30pm: Poster Session

LIST OF POSTERS

1. A Simple Dynamical Message-Passing Model Predicts Mammal Brain Anatomy. Randy Hong, Yan Hao and Daniel Graham.
2. Evolving Network Dynamics Reveal Critical Nodes in the Epileptic Brain. Marrium Shamshad, Igor Belykh, Mukesh Dhamala, Kevin Slote and Kelley Smith.
3. Synergy mediates Long-Range Correlations in the Visual Cortex Near Criticality. Hardik Rajpal, Cedric Stefens, Meghdad Saeedian, Joe Canzano, Michael Kareithi, Mauricio Barahona, Spencer Smith, Simon Schults and Henrik Jeldtoft Jensen.
4. Recurrence Network Analysis Uncovering Biomarkers of Depression from Nonlinear Dynamics underlying EEG Signals. Divya Sindhu Lekha, Angitha Jeesis C and Jasleen Gund.
5. Brain-Activity Flow on Brain Networks Uncovered by Topological Signal Processing. Flavia Petruso, Maria Giulia Preti and Dimitri Van De Ville.
6. The P-FIT ASD: Exploring an intelligence sub-network within the autistic brain.. Matthew McConnell, Joshua McConnell and Emma Towlson.
7. Bicommunities of the Directed Human Connectome. Alexandre Cionca, Chun Hei Michael Chan, Francesca Saviola, Maciej Jedynak, Yasser Alemá-Gómez, Saina Asadi, Arthur Spencer, Olivier David, Ileana Jelescu, Patric Hagmann, Maria Giulia Preti and Dimitri Van De Ville.
8. Topological representation of EEG signals for Seizure Prediction. Sunia Tanweer, Narayan Puthanmadam Subramaniyam and Firas Khasawneh.
9. Topological Higher-Order Features for Brain Network State Classification. Wafa Skhiri and Fabrizio De Vico Fallani.
10. A Stable Repertoire of Recurring States Governs Brain Dynamics During Longitudinal Narrative Viewing. Yibei Chen and Satrajit Ghosh.
11. Estimating directed connectivity from fMRI and structural priors via network diffusion model. Fahimeh Arab and Ashish Raj.
12. Back to the Future: Predicting Individual Tau Progression in Alzheimer's Disease. Robin Sandell, Justin Torok, Kamalini Ranasinghe, Srikantan Nagaranjan and Ashish Raj.
13. Analytical equivalences in imaging and network neuroscience. Mikail Rubinov.
14. Gene Gradients Reveal Directed Structural Connectivity Across Species. Benjamin Sipes and Ashish Raj.
15. QUIET: Quantifying Underutilized Influential Edges for Targeted Synchronization. Sovesh Mohapatra, Christoffer Gretarsson Alexandersen, Panagiotis Fotiadis and Dani S Bassett.
16. Identifying Network Factors Driving Changes in Brain Connectivity During Aging via Stochastic Actor-Oriented Models. Emma Garrison, Roberto Sotero Diaz and Javier Orlandi.
17. The spectral graph model: a minimal model of brain activity. Nuutti Barron and Ashish Raj.
18. Network deconvolution of MEG brain signal with the spectral graph model. Nuutti Barron, Fahimeh Arab, Anil Kamat and Ashish Raj.
19. Investigating the Whole-Body-Brain Connectome: Multi-Organ Network Dynamics. Leah Banellis, Dani Bassett and Micah Allen.
20. Brain Tumors Impact Network Efficiency via Disruption of Short-Range Connectivity. Omar Horan and Farnaz Zamani Esfahlani.
21. Paired NBS reveals focal and diffuse longitudinal changes in tangent-space connectomes in collegiate football athletes. Ruihong Lyu, Sumra Bari, Nicole Vike, Joaquin Goni and Thomas Talavage.
22. Centroid choice shapes self-identifiability, global geometry, and harmonization of tangent-space functional connectomes. Ruihong Lyu, Sumra Bari, Joaquin Goni and Thomas Talavage.
23. Compressibility of Neuronal Activity Across Dynamical Regimes. Lochan Chaudhari and Brennan Klein.
24. Distributed Information Bottleneck Reveals a Minimal Transcriptomic Signature of Alpha-Synuclein Pathology. Chanchal Bajoria, Julia Brynildsen, Michael Henderson and Dani Bassett.
25. Quantifying the cost of operations on networks. Suman Kulkarni and Dani S. Bassett.
26. Pairwise and higher-order triads in neuronal activity networks. Andrea Civilini, Fabrizio de Vico Fallani and Vito Latora.

Organizers

Maria Grazia Puxeddu

School of Neuroscience, Virginia Tech

Enrico Amico

University of Birmingham

Emma Towlson

University of Calgary

Joaquín Goñi

Purdue University

Kate Brynildsen

University of Pennsylvania

Christoffer Alexandersen