π§ New in @pnasnexus.org!
How can we simplify complex spatial networks, like brain or air traffic, without losing structure?
@fdevicofallani.bsky.social & Thibault Rolland reveal the economical geometry behind connectivity πΈοΈ
π academic.oup.com/pnasnexus/ar...
#ComplexNetworks #DataViz #Neuroscience
27.02.2026 13:09 β
π 2
π 2
π¬ 0
π 0
How structure hides in complexity π§©
Using hyperbolic projections of multilayer networks, NERVβ―Lab researchers reveal new patterns across brain & social systems.
π journals.aps.org/pre/abstract...
06.02.2026 14:32 β
π 5
π 2
π¬ 0
π 0
18th December. Paris. Enjoyable moments with @nerv-lab.bsky.social celebrating #2025 and building up new energy for #2026
31.12.2025 17:05 β
π 3
π 1
π¬ 0
π 0
Phys. Rev. E: Hyperbolic embedding of multilayer networks
http://link.aps.org/doi/10.1103/7wd9-dwlr
12.12.2025 11:06 β
π 3
π 2
π¬ 0
π 0
Yesterday morning, @fdevicofallani.bsky.social from @nerv-lab.bsky.social shared how imagining motor tasks can boost brain connectivity, promoting faster recovery after stroke.
Missed the live session? Watch the full replay here: www.youtube.com/live/78rfXIs...
@institutducerveau.bsky.social
03.10.2025 08:29 β
π 4
π 2
π¬ 0
π 0
Imagined movement increases the segregation of brain-heart networks
Understanding the mechanisms of motor imagery, the mental simulation of movement without execution, is key for the development of neurotechnologies. For instance, for detecting covert motor intent in ...
More on the link brain-heart axis and sensorimotor function, relevant for BCI research π€: Different bodily rhythms are coupled with cortical regions at rest. Here we show that motor imagery triggers a decoupling of cardiac dynamics with motor cortex functional connectivity π§ π« doi.org/10.1101/2025...
04.11.2025 13:28 β
π 20
π 11
π¬ 0
π 1
Low-dimensional controllability of brain networks
Author summary Identifying control nodes in complex networks is essential for understanding and influencing biological systems. However, existing network control methods often fall short when the numb...
Had a great time presenting our work on the curse of dimensionality in network controllability @bernsteinneuro.bsky.social
Thanks samirsuweis.bsky.social and organizers for setting up this special event and for the smooth organization.
Low-dimensional controllability of brain networks t.ly/qosuT
11.10.2025 12:45 β
π 18
π 4
π¬ 1
π 0
Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs
Motor imagery-based Brain-Computer Interfaces (BCIs) restore control in persons with motor impairments, but up to 30% of users struggleβa phenomenon known as βBCI inefficiencyβ. This study tackles a k...
π’ Preprint alert! π§ π‘
Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs
π www.biorxiv.org/content/10.1...
A great work led by Camilla Mannino w/ @pierpasorre.bsky.social & @neurodynamicslab.bsky.social! @nerv-lab.bsky.social @institutducerveau.bsky.social π§΅
27.08.2025 10:55 β
π 8
π 4
π¬ 1
π 0
#graphtheory We demonstrate that for geometric random graphs the edge-crossing scales with the square of the number of connections (Supplementary Text 4).
20.06.2025 09:44 β
π 0
π 0
π¬ 0
π 0
#computationalgeometry We establish analytical relations between the number of connections in a spatial network and their total length (Supplementary Text 1).
20.06.2025 09:44 β
π 0
π 0
π¬ 1
π 0
#neuroscience Reflecting biological resource constraints, we show that progressive-cost models more accurately capture the key properties of brain networks (Fig 5).
20.06.2025 09:44 β
π 0
π 0
π¬ 1
π 0
#networkscience We introduce a model based on the concept of progressive cost, where adding a new link becomes increasingly expensive as the network becomes denser (Fig 4).
20.06.2025 09:44 β
π 0
π 0
π¬ 1
π 0
So many broad insights and implications on :
#dataviz We provide an unbiased criterion to filter complex networks that is compliant with common human perception (Fig 1-3)
20.06.2025 09:44 β
π 0
π 0
π¬ 1
π 0
Left or right - which one is more connected?
Most say left, but hereβs the twist: both have the same number of connections!
Why does one looks more connected? Itβs all about #spatiality β how links occupy space.
Dive into our latest @pnasnexus.org t.ly/JzRsc
20.06.2025 09:44 β
π 4
π 2
π¬ 1
π 0
A needed review on the topic!
May I suggest that the first work using functional brain connectivity for person identification is 2014 and not 2015.
I m sure expliciting this would make such a great service to the community.
09.06.2025 14:59 β
π 2
π 2
π¬ 1
π 0
@nerv-lab.bsky.social warming up @netsciconf.bsky.social #netsci2025 #maastricht
01.06.2025 21:29 β
π 3
π 2
π¬ 0
π 0
Great news! The prestigious international @bcisociety.bsky.social #BCI award goes to @mconstancecorsi.bsky.social at @nerv-lab.bsky.social πππ#congrats
12.05.2025 12:39 β
π 2
π 1
π¬ 0
π 0
Amazing feeling when testing our nonvinvasive brain-computer interface prototype!
The opening of my hand is driven by the detection in real-time of my brain network changes!
Stay tuned for upcoming applications in stroke neurorehabilitation!
Kudos to @nerv-lab.bsky.social
04.04.2025 14:41 β
π 5
π 1
π¬ 0
π 0
22 of February = New deadline for submission of your 1-page abstract to present at Network Neuroscience satellite NetSci Conference
18.02.2025 10:29 β
π 2
π 3
π¬ 0
π 0
So many theoretical and biological insights in this new piece on the network connections between the #brain and the #heart
Majestically led by @diegocandiar.bsky.social @embs.org
31.01.2025 15:33 β
π 1
π 1
π¬ 0
π 0
You certainly don't wanna miss one of the pillar satellite events @netsciconf.bsky.social @netscisociety.bsky.social
Join us #network #neuroscience 2025 in Maastricht, Netherlands!
Submission deadline for contributed talks and posters coming soon.
Hurry up!
28.01.2025 20:10 β
π 2
π 3
π¬ 0
π 1
Very excited that the Network Neuroscience satellite will be held in Maastricht this year on June 2nd!
Abstracts can be submitted via: networkneuroscience.github.io. Deadline February 17th.
#networkscience #neuroscience #neuroskyence
28.01.2025 13:45 β
π 14
π 5
π¬ 1
π 1
Measures and Models of Brain-Heart Interactions
Exploring brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, has demonstrated enormous potential in biomarker dev...
Our methodological review on Measures and Models of Brain-Heart Interactions π§ π« is now available as early access in IEEE Reviews in Biomedical Engineering @embs.org. with Luca Faes, @fdevicofallani.bsky.social and Mario Chavez @neurodynamicslab.bsky.social doi.org/10.1109/RBME...
24.01.2025 09:35 β
π 18
π 9
π¬ 0
π 1
PLOS Comput. Biol.: Low-dimensional controllability of brain networks
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012691
10.01.2025 11:16 β
π 3
π 1
π¬ 0
π 0