Abstract The temporal evolution of schizophrenia symptoms is inherently complex and non-linear. Clinical states fluctuate between relatively stable and highly disorganised phases. These dynamics are only partially captured by conventional diagnostic frameworks. This limitation has motivated the development of models th...
Héléne Soydemir, Christophe Gauld, M. Desroches et al.· Dialogues in Clinical Neuros...· 0 citations
A new mean-field model of a population of Hodgkin–Huxley-type neurons is developed, retaining a microscopic perspective on the ion-exchange mechanisms driving neuronal activity, which allows it to maintain biophysical interpretability while bridging the gap between micro- and macro-scale mechanisms.
G. Rabuffo, Abhirup Bandyopadhyay, Carmela Calabrese et al.· eLife· 0 citations
It is demonstrated that seizures are structured dynamical trajectories rather than uniform episodes of abnormal activity, suggesting that the internal structure of seizures encodes information about network reorganisation over time, providing a class of biomarkers for tracking disease progression.
Vinicius Lima, A. Ghestem, V. Jirsa et al.· bioRxiv· 0 citations
This work introduces their symmetric counterpart by replacing adaptation with slow self-excitation, motivated by intrinsic calcium-mediated membrane currents, and derives and validate a mean-field neural mass model that remains stable while retaining working-memory functionality.
D. Depannemaecker, Adrien d'Hollande, G. Casagrande et al.· Nature Communications· 0 citations
BRIDGE provides a reproducible foundation for developing biologically informed mean-field models suitable for large-scale and whole-brain simulations, supporting the transition from generic homogeneous population models toward region-specific ones.
Ilaria Carannante, D. Depannemaecker, M. Woodman et al.· bioRxiv· 0 citations
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