Editorial: Rehabilitation to guide functional plasticity and regeneration with novel cellular, pharmacological and neuromodulation therapies
Bibliographic record
Abstract
Editorial on the research topic: Rehabilitation to Guide Functional Plasticity and Regeneration with Novel Cellular, Pharmacological and Neuromodulation Therapies While we, as a research field, strive to improve outcomes for people with neurological conditions, we understand that no single therapy or intervention can work in isolation.Combining methods represents the future of optimizing outcomes in rehabilitation.Research on combinatorial treatments remains limited. While some studies have explored the combination of exercise-or activity-based therapies with neuromodulation, little has been done to investigate the integration of neuromodulation with cellular or pharmacologic treatments. Given the stablished safety of a broad range of neuromodulton techniques, there is an interesting opportunity to further investigate the potential benefits of combining pharmacologic approaches with neuromodulation.The quest to restore function following neurological injuries continues to drive innovation in the field of rehabilitation. Despite the complexity of central nervous system injuries and the limited capacity for regeneration, promising avenues are emerging. By integrating rehabilitation with cutting-edge cellular therapies, pharmacological interventions, and neuromodulation strategies, researchers aim to harness the body's inherent plasticity to facilitate recovery and functional regeneration.Spinal cord injury (SCI) rehabilitation offers a compelling example of these advancements. Cervical SCI disrupts critical neural circuits controlling upper limb function. While endogenous repair mechanisms promote reorganization and adaptive plasticity in sparred circuits, maladaptive rewiring can hinder functional recovery (Bareyre et al., 2004;Cohen et al., 1991;Green et al., 1999Green et al., , 1998;;von Euler et al., 2002;Zai and Wrathall, 2005). Therefore, strategies targeting the functional rewiring of motor pathways are essential to enhance meaningful recovery. Multiple preclinical (de Leon et al., 1998;Leon et al., 1998) and clinical (Behrman andHarkema, 2007, 2000) studies have demonstrated that rehabilitation improves functional recovery after SCI by training the spared motor networks and providing activity-dependent feedback to locomotor pathways. For instance, Gregoire Courtine's research on neuromodulation for SCI recovery in humans highlights the integration of rehabilitation strategies with epidural (Wagner et al., 2018) or transcutaneous spinal cord stimulation (Moritz et al., 2024), brain-spine interfaces (Hachem et al., 2023;Lorach et al., 2023), and hypothalamic deep brain stimulation (Cho et al., 2024). Importantly, the neuroplastic changes induced by rehabilitation training are dependent on the type of adopted training paradigm (Adkins et al., 2006). Strength training primarily modulates motor network excitability and increases number of synapses, whereas skilled motor training elicits broader mechanisms, including synapse formation, enhanced synaptic strength, and network reorganization (Adkins et al., 2006). In stroke, studies on anti-NOGO therapy demonstrate that its efficacy is optimized when combined sequentially with appropriate rehabilitation regimen (Wahl et al., 2014). These examples underscore the critical need for combined and targeted rehabilitation paradigms.Building on these concepts, this research topic examines perspectives on combining rehabilitation with advanced therapies, including stem cell applications for SCI (Balbinot, 2024), the safety of Hebbian-type stimulation (Haakana et al., 2023), personalized strategies for pediatric cerebral palsy (Behboodi et al., 2023;Raess et al., 2022), and the sex-specific effects of acrobatic training on cognitive decline induced by cerebral hypoperfusion (Martini et al., 2024).Balbinot, 2024 emphasizes the synergy between targeted rehabilitation and stem cellbased therapies, particularly for improving upper extremity function in cervical SCI.Preclinical studies highlight the necessity of combining regenerative strategies with rehabilitation protocols that mirror clinical practices, notably using neuromodulation to activate neural circuits below the injury level. Techniques such as corticospinal tract and spinal cord stimulation represent a promising frontier to enchance cell-based therapies' efficacy for severe upper extremity paralysis. The convergence of these approaches holds significant hope for unlocking new treatments in the clinical setting.Adding further depth, a novel neuromodulation protocol of paired associative stimulation (high PAS), combines high-intensity transcranial magnetic stimulation with highfrequency peripheral nerve stimulation to target corticospinal tract plasticity (Bunday and Perez, 2012;Haakana et al., 2023;Jo and Perez, 2020). Preliminary findings by Haakana et al., 2023 on heart rate variability indicate that this approach is safe, inducing short-term modulation of parasympathetic activity without sustained cardiovascular effects. High PAS has the potential to enhance rehabilitation for neurological conditions, further emphasizing the need for continued exploration of its systemic impacts-specially when combined with other plasticity enhancing approaches.In parallel, the adaptability and therapeutic potential of neurological interventions extend to pediatric conditions such as cerebral palsy. Functional electrical stimulation has demonstrated mixed results in improving gait kinematics (Behboodi et al., 2023). This highlights the importance of identifying neurotherapeutic responders to optimize individualized protocols tailored to individual needs. Furthermore, combining robotic rehabilitation paired with transcranial direct current stimulation shows promise for enhancing upper extremity motor outcomes. Raess et al., 2022 show that, despite logistical challenges and patient-specific barriers, this combination shows feasibility and tolerability, providing a foundation for future research to elucidate optimal protocols for clinical application.Finally the challenge of treating chronic cerebral hypoperfusion is addressed through innovative strategies such as acrobatic training (Martini et al., 2024). Martini et al., 2024 show that this intervention mitigates astrocytic remodeling in hippocampal subfields associated with spatial memory impairments while uncovering sex-specific response. In males, training appears to increase astrocyte populations and improve memory retention, whereas in females, it enhances cell viability, higlighting the nuanced interplay between rehabilitation therapies and sex-specific cellular plasticity.In conclusion, the integration of advanced cellular, pharmacological, and neuromodulation therapies with comprehensive rehabilitation strategies heralds a new era of possibilities for functional recovery in neurological conditions. While challenges remain, it is imperative to rigorously assess the biological plausibility of these technologies as a cornerstone of their validation. Drawing from the Bradford-Hill criteria (Hill, 1965), this focus on plausibility ensures that the mechanisms driving neural regeneration and plasticity are both scientifically credible and capable of being translated into effective clinical applications. Such a framework is essential for harnessing these interventions to maximize neuroplasticity and advance the field of rehabilitation sciences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.018 | 0.017 |
| Insufficient payload (model declined to judge) | 0.022 | 0.017 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".