Christoffer G. Alexandersen
@cgalexandersen.bsky.social
Maths & neuroscience | Postdoc | Complex Systems Lab, UPenn | Aker Scholar
Sensing your body (‘Interoception’) is everywhere in theories of mental health. But when we tested how well hundreds of people sensed their heart and lungs, the link to symptoms was almost nowhere to be found. 💣 🚨New @natmentalhealth.nature.com paper 🚨🎉 asks why 🧵 www.nature.com/articles/s44...
🚨 Paper: Active matter physics views living systems as open, out of equilibrium, and emergent. In a perspective on plant morphogenesis 🌱we discuss how such features arise from tissue hydromechanics, and how to model them. Thank you for your attention to this active matter. shorturl.at/IKKRt
Towards a hydromechanical theory of plant active matter | Quantitative Plant Biology | Cambridge Core
Towards a hydromechanical theory of plant active matter
cambridge.org
Hadrien Oliveri@hadrienoliveri.bsky.social · 8mo agoActive matter physics studies living beings as open, out of equilibrium, and emergent systems. In this perspective on plant morphogenesis, we show how such features arise from the basic hydromechanics of plant tissue and how to capture them in models. 🌱💧 Preprint 👇 arxiv.org/abs/2512.05554
🧠 New paper out in 𝘉𝘳𝘢𝘪𝘯 Why does tau pathology often begin in the entorhinal cortex in Alzheimer’s disease? We show that brain-wide gradients of neuronal activity and amyloid-β may make this region particularly vulnerable to tau pathology. academic.oup.com/brain/articl...
Hot off the press 🚨 Epidemic spreading between regions is often modelled on a network 🕸️ But how do we describe this process properly? Here, we show how to build a linear transport operator at the network scale, by coarse-graining local advection-reaction-diffusion within edges. shorturl.at/0tAN8
A multiscale theory for network advection- reaction-diffusion - Journal of Mathematical Biology
Mathematical network models are extremely useful to capture complex propagation processes between different regions (nodes), e.g. the spread of an infectious agent between different countries, or the transport and replication of toxic proteins across different brain regions in neurodegenerative diseases. In these models, transport is modelled at the macroscale through an operator, the so-called graph Laplacian, based on the edge properties and topology, capturing the fluxes between different nodes of the network. However, this phenomenological approach fails to take into account the physical processes taking place, at the microscale, within the edge. A fundamental problem is then to obtain a transport operator from mechanistic principles based on the underlying transport process. Using advection-reaction-diffusion as a generic mechanism for inter-nodal exchanges, we derive a multiscale network transport model and derive the corresponding linear transport operator at the macroscale from first principles. This effective graph Laplacian is fully determined by the transport mechanisms along the edges at the microscale. We show that this operator correctly captures the transport, and we study its scaling properties with respect to edge length.
shorturl.at
Hadrien Oliveri@hadrienoliveri.bsky.social · 11mo ago⭐New preprint: "A multiscale theory for network advection-reaction-diffusion" with @alaingoriely.bsky.social and Emilia Cozzolino arxiv.org/abs/2509.06546
Global brain activity links subcortical degeneration to cortical tau progressively across Braak regions over early Alzheimer disease stages https://www.biorxiv.org/content/10.64898/2026.01.23.701360v1
Job alert🚨I am advertising a 2-year postdoctoral position to work on the mathematics of plant morphogenesis @mpipz.bsky.social. Candidates with interests in mathematical modelling, mechanics, or biophysics are strongly encouraged to apply. 🌱Reposts are appreciated! jobs.mpipz.mpg.de/jobposting/4...
❗🧠 New review in IEEE RBME How network math models are reshaping how we think about neurodegenerative disease, from brain dynamics to disease progression "Network models of neurodegeneration: bridging neuronal dynamics and disease progression" ieeexplore.ieee.org/document/113...
🧠 New preprint 🧠 We review comp. models of brain activity and protein spread in neurodegeneration, and argue that linking them is key to understanding and intervention With @danisbassett.bsky.social Y. Iturria-Medina @mxhend.bsky.social K. Brynildsen @gsbrennan.bsky.social arxiv.org/abs/2509.05151
Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
Neurodegenerative diseases are characterized by the accumulation of misfolded proteins and widespread disruptions in brain function. Computational modeling has advanced our understanding of these proc...
arxiv.org
⭐New preprint: "A multiscale theory for network advection-reaction-diffusion" with @alaingoriely.bsky.social and Emilia Cozzolino arxiv.org/abs/2509.06546
Modelling cerebrovascular pathology and the spread of amyloid beta in Alzheimer’s disease: royalsocietypublishing.org/doi/10.1098/... #ProcA #Alzheimers #biophysics
royalsocietypublishing.org
In this paper, we connect local damage to brain vasculature to global progression of toxic proteins leading to neurodegenerative diseases. royalsocietypublishing.org/doi/epdf/10.... We identify situations where disease initiation can be caused by focal hypoperfusion following vascular injury.
