Reply from Jumes Leopoldino Oliveira Lira, Carlos Ugrinowitsch, Daniel Boari Coelho, Luis Augusto Teixeira, Andrea Cristina de Lima‐Pardini, Fernando Henrique Magalhães, Egberto Reis Barbosa, Fay B. Horak, and Carla Silva‐Batista
Notice bibliographique
Résumé
We read with interest and enthusiasm the positive comments of Onder et al. (2022) on our innovative results about the loss of presynaptic inhibition (PSI) for step initiation in people with Parkinson's disease (PD) and freezing of gait (FOG (freezers)) and the recommendations for future studies. Onder et al. found our study important considering the rarity of electrophysiological studies evaluating the relationship between FOG and PSI. Onder et al. (2022) raised two important questions from our findings: (1) Does PSI play a role as a primary target in the pathophysiology of FOG or does it represent a contributory mechanism to the cortical motor dysfunction? (2) And does PSI represent an insufficient compensatory process for FOG? Regarding the first question, we have found that loss of PSI, FOG severity, and decreased anticipatory postural adjustment (APA) are all related (Lira et al. 2020), which suggests that similar neural correlates explain all three. The mesencephalic locomotor region (MLR) may play an important role in the relationships among PSI, FOG and APAs. MLR is a region of the midbrain that, when stimulated, increases postural tone for standing posture and induces stepping and running in the decerebrate cat (Shik & Orlovsky, 1976). MLR also has neurons related to APAs preceding step initiation (Sinnamon et al. 2000). Freezers have worse structural and functional deficits in pedunculopontine nucleus (PPN), one of the major nuclei of the MLR, than non-freezers and healthy controls (Fling et al. 2013). Over-activity of the output nuclei of the basal ganglia in freezers may lead to excessive paroxysmal inhibition of the already disordered PPN (Lewis & Barker, 2009). Inhibition of PPN probably has a negative influence on spinal inhibitory mechanisms related to postural preparation, such as PSI, before triggering FOG. PSI is crucial for postural preparation and walking (Faist et al. 1996; Nielsen, 2004) and FOG may be due to an inability to inhibit stance postural tone and initiate stepping (Nutt et al. 2011; Fling et al. 2013; Cohen et al. 2014). Taken together, we hypothesized that loss of PSI is due to lack of central inhibition (decreased MLR activation) when standing to allow for step initiation, which may contribute to occurrence of FOG events. Regarding the second question, we agree that restoring PSI may compensate for supraspinal dysfunction during FOG episodes, as we have recently demonstrated that healthy elderly individuals have higher PSI levels associated with weaker APAs compared to healthy young individuals (Filho et al. 2021). The increase in PSI levels in elderly individuals has been considered an adaptive/compensatory phenomenon, due to age-related deterioration of supraspinal modulation (Morita et al. 1995; Filho et al. 2021). It is important to highlight that although we assessed PSI in the ON-medication state during no FOG episodes, we will test the hypothesis that the loss of PSI is greater during OFF-medication state than in ON state, as levodopa changes the excitability of the H-reflex in PD (McLeod & Walsh, 1972). Onder et al. (2022) also suggest that to clarify the precise causal association between the loss of PSI and FOG, the use of physical therapy with visual cues is important. Although cues are applied to evoke a more goal-directed type of motor control, long-term consolidation and transfer of effects of visual cues are hampered in freezers (Ginis et al. 2018), suggesting that visual cues may not increase PSI in this population. Thus, we hypothesize that therapies need to cause persistent and permanent neurophysiological adaptations to restore PSI during APAs in freezers. As PSI is important for modulating muscle coordination by adjusting both supraspinal motor commands and sensory feedback at the spinal level (Nielsen, 2004), rehabilitation interventions focused on sensorimotor integration might restore PSI during APA in freezers. We have recently demonstrated that 12 weeks of motor-cognitive balance training on unstable surfaces increases MLR activation and APA amplitude and decreases FOG severity in freezers (Silva-Batista et al. 2020). Previously, we found that 12 weeks of resistance training with instability were more effective than 12 weeks of resistance training alone in increasing PSI levels, at rest, in non-freezers (Silva-Batista et al. 2017). Taken together, we believe that interventions focused on challenging sensorimotor integration could restore PSI levels during APA in freezers, which in turn, would compensate for supraspinal dysfunction and overcome FOG episodes. From these considerations, we propose that large-scale trials investigating sensorimotor rehabilitation strategies specifically aimed at restoring PSI and reducing FOG in the long term are urgently needed to treat this disabling symptom in PD. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. The authors declare that there are no competing interests. All authors contributed to the design of the study. J.L.O.L., D.B.C., A.C.L.P., F.H.M., E.R.B., C.S.B. collected the data. J.L.O.L., D.B.C., A.C.L.P., F.H.M., C.U., L.A.T., E.R.B., C.S.B. analysed the data, and all authors contributed to the interpretation of the data. J.L.O.L. and C.S.B. prepared the first draft of the manuscript. All authors have approved the final version of the manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. Fundação de Amparo à Pesquisa do Estado de São Paulo under award numbers 2015/13096-1, 2016/13115-9, and 2018/16909-1, the Conselho Nacional de Desenvolvimento Científico e Tecnológico under award numbers 406609/2015-2 and 03085/2015-0, National Institutes of Health under award number R01AG006457, and Department of Veterans Affairs Merit Award number 5I01RX001075. We would like to thank participants from Movement Disorders Clinic from School of Medicine of the University of São Paulo for their commitment to the study, Eugenia Casella Tavares Mattos and Éden Marcos Braga de Oliveira who helped in the technical support, Martina Mancini who reviewed the manuscript, and FAPESP, CNPq, and CAPES.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,005 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,016 | 0,032 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,006 |
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 ».