Skip to main content
Complex system and future
technologies in neuroscience – CSFTN’25
2025年6月26-29日
地点:俄罗斯伊尔库茨克的躯体中心

发布

Our publications on elibrary.ru

The school proceedings published as the abstracts in the school's collection

We have read the terms of the public offer posted at the address and accept it completely and unconditionally.
In accordance with Part 1 of Art. 9 of the Federal Law of July 27, 2006 No. 152-FZ “On Personal Data” I give to the Saratov State University, located at 410012, Saratov, st. Astrakhanskaya, 83, consent to the processing of my personal data in any legally permitted manner.

 

 

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 and further authors’ instructions can be found in the Submission Guidelines at https://www.springer.com/journal/11734/submission-guidelines

The LaTeX macros for the preparation of the manuscripts can be found at https://www.springernature.com/gp/authors/campaigns/latex-author-support but authors are free to use formats such as Word as well if they prefer.

EPJST is a transformative journal offering Open Access (OA) publication via a rapidly growing number of Open Access Agreements and corresponding authors affiliated to institutions participating in these agreements may be eligible to publish OA, the fee being then covered by the institutional partner. Eligibility will be verified when the corresponding author is requested to complete the relevant affiliation information after acceptance of the paper. Corresponding authors not affiliated to institutes with Open Access Agreements have to decide between paying the current Open Access fee https://link.springer.com/journal/11734/how-to-publish-with-us#Fees%20and%20Funding or choosing the subscription option without any publication charges. (Alternatively, co-authors may jointly investigate if a change of corresponding author would make their paper eligible for institutional OA.)

We could publish a call for papers on our EPJ portal at https://epjst.epj.org/epjst-open-calls-for-papers now that the contract is signed. Please contact the Editorial Office if you think this could be useful.