Editorial: Rehabilitation to guide functional plasticity and regeneration with novel cellular, pharmacological and neuromodulation therapies
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,018 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,017 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».