Long-lasting neurobehavioral disorders after traumatic brain injury: potential predictors and functional outcomes [0.03%]
创伤性脑损伤后的长期神经精神障碍：潜在的预测因素和功能预后
Matteo G Vascello,Silvia Pizzighello,Rosalia Zangari et al.
Matteo G Vascello et al.
Background: Traumatic brain injury (TBI) often leads to neurobehavioral disorders (NBDs) that hinder functional recovery. Although demographic (gender, age, years of education) and clinical factors (post-traumatic amnesia...
Development and validation of interpretability cutoffs for the short forms of the Brain Injury Rehabilitation Trust Personality Questionnaires (BIRT-PQs) [0.03%]
简明脑损伤康复信托性格问卷(BIRT-PQ)的可解释性截止值的开发与验证
Benedetta Basagni,Leonardo Pellicciari,Antonio DE Tanti et al.
Benedetta Basagni et al.
Background: Previous analyses demonstrated that Italian versions of the five short forms of the Brain Injury Rehabilitation Trust Personality Questionnaires (SF-BIRT-PQs) showed strong psychometric properties. However, ev...
Interrelationship between fatigue and recovery of physical function in stroke survivors: a longitudinal mixed-methods study [0.03%]
卒中幸存者疲劳与身体功能恢复相互作用的纵向混合方法研究
Chiao-Hsin Teng,Ruth A Anderson,Baiming Zou et al.
Chiao-Hsin Teng et al.
Background: Research has shown that late fatigue post-stroke is associated with poorer long-term outcomes, but the association between early fatigue with concurrent outcomes like physical function within six months is und...
Upper extremity pain after stroke: a systematic review and meta-analysis on primary prevention [0.03%]
卒中后上肢疼痛：一级预防的系统评价和meta分析
Memnune A Denizli,Gauthier Everard,Patricia Dessart et al.
Memnune A Denizli et al.
Introduction: Post-stroke upper extremity (UE) pain is a frequent and debilitating problem, with an incidence of 15 to 40% at 6 months. No clinical guidelines are available on the primary prevention of UE pain. The aim of...
Artificial intelligence in rehabilitation: a living systematic mapping review - first release [0.03%]
康复领域的人工智能：living 系统评价映射回顾—第一版发布更新
Giovanni Morone,Riccardo Carbonetti,Alex Martino Cinnera et al.
Giovanni Morone et al.
Introduction: Artificial intelligence (AI) is revolutionizing many fields of science, including medicine, by enhancing diagnostic, therapeutic, and decision-making processes. However, understanding how AI can be truly use...
Rehabilitation enhanced by artificial intelligence: introducing the living systematic mapping review from REHALISE initiative [0.03%]
来自REHALISE计划的智能康复系统评价研究：人工智能赋能康复医疗
Giovanni Morone,Alex Martino Cinnera,Giorgio Ferriero et al.
Giovanni Morone et al.
Physiatrists and/vs. allied health professionals: echoing from Türkiye [0.03%]
物理医学与康复医师及 allied health 专业人员：来自土耳其的声音
Levent Özçakar,İlker Yağci
Levent Özçakar
Assessment of gait patterns in breast cancer survivors: a cross-sectional study [0.03%]
乳腺癌幸存者步态模式的评估：横断面研究
Chiara Notarstefano,Valentina Azzollini,Mirella Ferrari et al.
Chiara Notarstefano et al.
Background: Breast Cancer Survivors (BCs) often exhibit impaired mobility, balance deficits, and reduced gait speed at functional tests. Aim: ...
Motor imagery training promotes motor learning and brain plasticity without fatigability in people with progressive multiple sclerosis [0.03%]
运动意象训练促进进行性多发性硬化患者的运动学习和脑可塑性且不引起疲劳感
Monica Biggio,Ludovico Pedullà,Andrea Albergoni et al.
Monica Biggio et al.
Background: Fatigability, defined as the activity-induced decline in performance, is common in people with multiple sclerosis (PwMS), particularly among those with progressive courses of the disease. There is a pressing n...
High-frequency repetitive transcranial magnetic stimulation for stroke patients lower extremity function: primary motor cortex versus cerebellar stimulation. A randomized controlled trial [0.03%]
高强度重复经颅磁刺激改善卒中患者下肢功能：运动皮层与小脑刺激对照研究
Feng Lai,Xiang Liu,Fang Li et al.
Feng Lai et al.
Background: Transcranial magnetic stimulation (TMS) has recently been used to great effect to enhance the motor function and performance of patients with stroke by modifying cerebral cortex excitability. But few studies h...