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Proposal for a Special Issue “Advanced Technologies and Innovative Strategies for Neurotheranostics” in The European Physical Journal: Special Topics
Submission Deadline - December 30, 2025
Oxana Semyachkina-Glushkovskaya
Indian Institute of Technology (BHU) Varanasi, India
E-mail: glushkovskaya@mail.ru
Atul Kumar
Saratov State University (SSU), Department of Biology, Saratov, Russia
E-mail: atul.ece@iitbhu.ac.in
Alexey Zaikin
University College London, Dep of Mathematics, UCL, Gower Street, London, WC1E6BT, United Kingdom
alexey.zaikin@ucl.ac.uk
Aims and Goals
New technologies and breakthrough ideas are inextricably linked. Leonardo da Vinci lived for 20 years in Milan, where mathematics and geometry were actively developing, so he created his Madonna with unique for that time precise facial forms. The development of cartography, military and urban, became the reason for the depiction of landscapes against the background of the Madonna and other characters in Raphael's paintings. The development of the railway and the appearance of paints in tubes laid the foundation for the revolutionary direction of impressionism.
The 21st century is marked as a golden age for neuroscience. The brain is a complex system and its study requires innovative solutions and ingenious technologies. The advent of complex system science, artificial intelligence, machine learning including neural networks, high-resolution optics, magnetic resonance and positron emission tomography have initiated substantial progress not only in studying the nature of the dynamic brain, but also in the development of pioneering technologies for controlling its functions.
The human brain is a supernetwork—a network of networks—where complex interactions give rise to complex and adaptive functioning and even intelligence. These networks communicate dynamically, raising key questions: How does intelligence emerge in physiological systems? How can we measure it? And how does it relate to properties like multiplexing or consciousness? In the brain, 86 billion neurons form dynamic synapses, interwoven with astrocytes and glial cells that regulate activity and memory. Beyond the neural network, genetic and cellular networks further contribute to intelligence and consciousness. Understanding these mechanisms requires advanced computational models, nonlinear dynamics, and AI-driven analytics at the cutting edge of neuroscience.
A basic approach of these interdisciplinary tasks is called Neurotheranostics, which combines therapy and diagnosis in modern neuroscience. This issue is dedicated to promising and advanced technologies that underlie the development of innovative strategies in the study and modelling of the brain functions and the treatment of its pathologies.
We intend to invite leading and highly active researchers in this interdisciplinary field from various countries. This special issue will include Original Research, Clinical Image, Case Study, (Mini-)Review, Perspective, and Commentary. All submissions will undergo an anonymous review to guarantee high scientific quality.
The scope of the current special issue covers the following topics that includes, but not limited:
- Brain as a Dynamic Complex System
- Predictive Technologies (AI/ML) for Brain Diseases
- Emergence of Intelligence in the Brain
- Brain Modeling via Functional and Adaptive Networks
- Nonlinear Time Series Analysis of Brain Imaging Data
- Data Mining for Diagnostics and Prediction
- Lymphatonics and Neurophotonics
Articles may be one of four types: (i) minireviews (10-15 pages), (ii) tutorial reviews (15+ pages), (iii) original paper v1 (5-10 pages), or (iv) original paper v2 (3-5 pages). More detailed descriptions of each article category can be found in the Submission Guidelines at https://www.springer.com/journal/11734/submission-guidelines.
For the preparation of the manuscripts we offer a latex template, which can be downloaded at https://www.springernature.com/gp/authors/campaigns/latex-author-support, but we also accept manuscripts written in other formats such as Word.