Effect of Repetitive Transcranial Magnetic Stimulation on Patients with Post-Stroke Cognitive Impairment
Notice bibliographique
Résumé
Objective:To observe the improvement of cognitive function and the changes of serum nerve influencing factors and cytokines in patients with stroke treated with repetitive transcranial magnetic stimulation (rTMS).Methods:A total of 100 patients with post-stroke congitive impairment (PSCI) were randomly divided into observation group (n=51) and control group (n=49) by SAS software. The control group received routine treatment. On the basis of routine treatment, the observation group was treated with rTMS once a day, five times a week for eight weeks. Before and after treatment, the cognitive function scores of the two groups were compared, the changes of mini-mental state examination (MMSE) and Montreal cognitive function (MoCA) scores were compared, the activities of daily living (ADL) and auditory verbal learning test (AVLT) were observed. ELISA method was used to observe the changes of brain-derived neurotrophic factor (BDNF), vascular endothelial growth factor (VEGF), interleukin-6(IL-6) and high-sensitivity C-reactive protein (hs-CRP) in the two groups after treatment.Results:There were no significant differences in the scores of MoCA, including orientation (ORT), visual space and executive function (EF), naming (NAM), memory (MEM), attention (ATT), language (LANG) and abstract ability (ABS) before treatment between the two groups (P> 0.05). After eight weeks of treatment, ORT, EF, NAM, MEM, ATT, LANG and ABS in the two groups were significantly higher than those before treatment (P< 0.05, P< 0.01). The MoCA score of the observation group was significantly better than that of the control group (P< 0.05). There were no significant differences in MMSE, AVLT123, AVLT5, AVLT recognition, ADL scores between the two groups before treatment (P> 0.05). After treatment, the MMSE, AVLT123, AVLT5, AVLT recognition and ADL scores of the control group were (21.34±2.35), (9.15±3.36), (2.16±0.32), (15.24±2.62), (68.16±12.35), and those of the observation group were (25.21±3.45), (13.23±3.35), (2.24±1.62), (17.32±6.26), (74.43±15.34), the differences between the two groups were significantly higher than those before treatment (P< 0.05, P< 0.01), and the improvement of the observation group was better than that of the control group after treatment (P< 0.05). There were no significant differences in serum BDNF, VEGF, IL-6 and hs-CRP levels before treatment between the two groups (P> 0.05). After treatment, the serum levels of BDNF, VEGF, IL-6 and hs-CRP in the control group were (6.19±0.75) ng/mL, (113.25±11.35) pg/mL, (9.12±4.23) mmol/L, (3.74±1.47) mmol/L, and the serum levels of BDNF, VEGF, IL-6 and hs-CRP in the observation group were (8.25±0.94) ng/mL, (172.36±18.35) pg/mL, (6.78±3.86) mmol/L, (2.25±1.25) mmol/L, the serum levels of BDNF, VEGF, IL-6 and hs-CRP in the two groups were better than those before treatment (P< 0.05, P< 0.01), and the improvement in the observation group was significantly higher than that in the control group (P< 0.05).Conclusion:rTMS can furtherly improve PSCI by improving cognitive function.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».