Post-Stroke Motor Recovery: Modern Approaches Based on Neuroplasticity and Sensory Feedback

Since you don't know how neuroplasticity works, how EXACTLY ARE YOUR MEASURING IT?

You haven't identified the EXACT signals between neurons that tell one neuron to drop their use and take on a neighboring neuron's use! That could then make neuroplasticity repeatable on demand.  Until that occurs ALL OF THIS SUPPOSED NEUROPLASTICITY RESEARCH IS ALMOST COMPLETELY FUCKING USELESS!

 Post-Stroke Motor Recovery: Modern Approaches Based on Neuroplasticity and Sensory Feedback

  Lucian Andrei Dobreci 1, Elena Costescu 2,†, *, Viorela Bembea 3, Alina Emilia Iosif 4,* and Ovidiu Popa 5,*

  Post-Stroke Motor Recovery: Modern Approaches Based on Neuroplasticity and Feedback Sensory Balneo and PRM Research Journal 2026, 17(1): 960 Academic Editor(s): Constantin Munteanu Reviewer Officer: Viorela Bembea Production Officer: Camil Filimon Received: 06.02.2026 Published: 31.03.2026 Reviewers: Andreea Iulia Vladulescu Trandafir Mihail Hoteteu Publisher’s Note: Balneo and PRM Research Journal stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Copyright: © 2026 by the authors. Submitted for open-access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licens es/by/4.0/). 

1 Department of Physiotherapy and Occupational Therapy,Faculty of Movement, Sports and Health Sciences, "Vasile Alecsandri" University of Bacau, Calea Mărășești no.157, Bacău, 600115; 

2 Faculty of Medicine, “Apollonia” University of Iasi, , 11 Pacurari Street, Iasi, 700511; 

3 Neuromuscular Rehabilitation Clinic Division, Teaching Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania; 

4 Department of Emergency Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, 700115, Romania 

 * Correspondence: naturaone@gmail.com; ovidiu.popa@umfiasi.ro; emilia.iosif@upg-ploesti.ro 

 † This author have equal contribution to the paper as the first author 

 Abstract: 

Stroke remains one of the leading causes of long-term disability worldwide, severely impairing motor and cognitive functions. Post-stroke recovery involves complex neuroplastic mechanisms that cannot be adequately described by classical linear models. In this context, fractal theory and nonlinear dynamics offer an innovative framework for understanding and optimizing rehabilitation processes. This study aims to evaluate the applicability of fractal theory in post-stroke rehabilitation by identifying relationships between fractal movement complexity and functional recovery, and by proposing a personalized rehabilitation model based on fractal indicators. Using METLAB-based nonlinear analysis, fractal dimension (FD) and Lyapunov exponents (λ) were applied to simulated and representative time series of movement and neuronal activity. Fractal parameters were interpreted in relation to movement rigidity, stability, and adaptability. Reduced FD values (1.08) and large negative Lyapunov exponents (λ ≈ −1.12) were observed in post-stroke motor patterns, indicating rigidity and reduced adaptability.(Then magic occurs is not a valid answer) These findings support the need for variable, feedback-based, and robot-assisted rehabilitation strategies. Fractal theory provides an objective framework for evaluating and optimizing post-stroke recovery and enables personalized rehabilitation strategies based on movement complexity and stability.