Vestibulo-Oculomotor Reflex Dysfunction in Children with Cerebral Palsy Correlates with Gross Motor Function Classification System by Laura Casagrande Conti, Nicola Ferri, Leonardo Manzari, Tommaso Lelli, Maria Mangeruga, Margherita Dal Piaz, Andrea Manzotti, Luca Verrecchia, Marco Tramontano

“…The correlation analysis demonstrated a strong negative association between aVOR gain and the Gross Motor Function Classification System (−0.73 and −0.68 for the left and right horizontal canal, respectively; <i>p</i> < 0.05). …”
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Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

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Waiting Time and Focus of Physical Therapy for Children with Cerebral Palsy in Saudi Arabia: Parents’ Report by Abdulrhman Mashabi, Maysoun N. Saleh, Ahmad A. Alharbi, Abdulaziz A. Albalwi, Hani F. Albalawi, Qais Al-Bakri

“…Face-to-face surveys were conducted to collect data on CP classification (based on the Gross Motor Function Classification System), age at first referral, types of interventions used, intervention goals, and parents’ desired goals for their children. …”
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Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS by Yu Li, Tao Xu, Junhua Li, Feng Wan, Hongtao Wang

“…Purpose This study aimed to improve the accuracy of brain-computer interface (BCI) systems based on motor imagery (MI) and mental arithmetic (MA) by utilizing functional near-infrared spectroscopy (fNIRS) and an improved dilation CapsuleNet (ID-CapsuleNet) model.Methods The study focused on the characteristics of fNIRS and employed large-kernel dilation convolution to extract hemodynamic features from fNIRS data. …”
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Influence of oromotor functions on motor development and feeding outcomes in children with cerebral palsy by Amira F. Ibrahim, Sara Y. Elsebahy, Monira I. Aldhahi, Mai M. Khalaf, Ahmed A. Torad, Mona Mohamed Taha, Amira F. El-Sheikh

“…All patients underwent evaluations to determine their level of gross motor function using the Gross Motor Function Classification System (GMFCS), feeding level assessed using the Functional Oral Intake Scale, assessment of oromotor structural dysfunction using the Orofacial Motor Functional Assessment Scale, tongue thrust using the Tongue Thrust Rating Scale, and feeding performance using the Oral Motor Assessment Scale.Results Correlational analysis revealed that children with better gross motor function tended to exhibit improved feeding levels, orofacial motor function, and feeding performance (p < 0.05); however, no significant relationship was observed between gross motor function and tongue thrust. …”
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Classification of spinopelvic balance in ambulatory adolescents and adults with cerebral palsy: a cross-sectional study by Emmanuelle Chaléat-Valayer, Carole Vernez, Stéphane Verdun, Soline Bellaiche, Laure Mathevon, Rachel Bard Pondarré, Hovannes Agopyan, Marianne Bagnol, Kariman Abelin

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MCTGNet: A Multi-Scale Convolution and Hybrid Attention Network for Robust Motor Imagery EEG Decoding by Huangtao Zhan, Xinhui Li, Xun Song, Zhao Lv, Ping Li

“…By introducing a group rational Kolmogorov–Arnold Network (GR-KAN), the system enhances generalization and robustness under cross-session conditions. …”
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Bone mineral density in comparison to anthropometric parameters and level of gross motor function in children with cerebral palsy by Zvekić-Svorcan Jelena, Stojšić Mirjana, Krasnik Rastislava, Nenadov Nataša, Demeši-Drljan Čila, Mikov Aleksandra, Radovanov Maja

“…Methods. This cross-sectional pilot study included 23 children with CP, aged 6 to 17 years, in whom the gross motor function level was estimated according to the Gross motor function classification system- expanded and revised (GMFCS-E&R), while the anthropometric parameters were established in relation to the developmental charts for healthy children as well as those pertaining to children with CP. …”
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Reliability of the Korean Version of the Eating and Drinking Ability Classification System in Children with Cerebral Palsy by Sangwon Hwang, Kang-Jae Jung, Yeonhee Choi, Dong-Wook Rha

“…The EDACS showed moderate to high correlation with the Functional Oral Intake Scale, Gross Motor Function Classification System, Manual Ability Classification System, and Communication Function Classification System (Kτ = −0.863, 0.656, 0.720, 0.616). …”
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Investigating the Reliability and Validity of the Persian Version of the Fullerton Advanced Balance Scale in Children with Higher Gross Motor Function Cerebral Palsy by Maryam Torabian

“…Background and Objectives: This study investigates the reliability and validity of the Iranian version of the Fullerton advanced balance scale in children with higher gross motor function cerebral palsy. Methods: A total of 56 children with cerebral palsy (6.59 ± 1.84 years) were diagnosed with level I or II adhering to the gross motor function classification system and 56 healthy children who matched them with age and gender contributed to this cross-sectional study. …”
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Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study by Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

“… BackgroundPatients with knee osteoarthritis (KOA) often present lower extremity motor dysfunction. However, traditional radiography is a static assessment and cannot achieve long-term dynamic functional monitoring. …”
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Sleep problems from age two to five years and neurological outcome in children born extremely preterm: a cross-sectional study by Kristine Marie Stangenes, Kristine Marie Stangenes, Mari Hysing, Maria Vollsæter, Irene Bircow Elgen, Trond Markestad, Bjørn Bjorvatn, Bjørn Bjorvatn

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基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

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BRAIN-COMPUTER INTERFACES IN NEUROREHABILITATION FOR CENTRAL NERVOUS SYSTEM DISEASES: APPLICATIONS IN STROKE, MULTIPLE SCLEROSIS AND PARKINSON’S DISEASE by Knezevic Sara

“…Meta-analyses of stroke rehabilitation trials (n=235) indicate significant motor function improvements, with standardized mean differences of 0.79 in upper limb assessment scores compared to conventional therapy. …”
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Autonomic modulation at rest and in response to postural change in adolescents with Duchenne muscular dystrophy: a cross-sectional study by Mariana Viana Rodrigues, Mileide Cristina Stoco-Oliveira, Talita Dias da Silva, Celso Ferreira, Heloisa Balotari Valente, Laís Manata Vanzella, Luiz Carlos Marques Vanderlei

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Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features by Bolaji A. Omodunbi, David B. Olawade, Omosigho F. Awe, Afeez A. Soladoye, Nicholas Aderinto, Saak V. Ovsepian, Stergios Boussios

“…<b>Background:</b> Parkinson’s disease (PD) is a progressive neurodegenerative condition that impairs motor and non-motor functions. Early and accurate diagnosis is critical for effective management and care. …”
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Bone Mineral Density in Children with Cerebral Palsy: Associations with Anthropometric and Clinical Characteristics—A Cross-Sectional Study by Aqeelah Abdulelah Aljishi, Mohammed A. Al-Omari, Ayat H. Al Safar, Shahad A. AlHazzaa, Alaa I. Ibrahim

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Upper limb kinematic measurement using markerless motion capturing (MMC) in stroke survivors: A cross-sectional experimental study by Winnie WT Lam, Kenneth NK Fong, Chi-Wen Chien

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Application of Brain-Computer Interfaces in Rehabilitation of Central Nervous System Disorders by GE Yi, ZHONG Ying, HONG Wenjun, XU Rong

“…This study reviews the principles and classification of BCI technology and its application in key areas of neurorehabilitation, such as consciousness assessment and intervention, motor function reconstruction, cognitive function intervention, sensory function compensation, etc. , in order to provide a reference for the popularization and application of BCI technology. …”
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Translation and Response Validation of Cerebral Palsy Quality of Life Questionnaire for the Child’s Primary Caregiver (Kannada Version): A Cross-sectional Study by KB Komal, Navami Mahaveer, Anvita Shiggavi, Prashanth Mukkannavar, Aditi Prayag

“…The internal consistency was assessed using Cronbach’s alpha. The Gross Motor Function Classification System (GMFCS) levels and CP QOL were evaluated and compared. …”
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