EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…In this work, we propose an innovative end-to-end signal fusion method based on deep learning and evidence theory for motor imagery (MI) classification within the neuroscience domain. …”
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Functional Connectivity Changes in Primary Motor Cortex Subregions of Patients With Obstructive Sleep Apnea by Lifeng Li, Qimeng Shi, Bowen Fang, Yuting Liu, Xiang Liu, Yongqiang Shu, Yingke Deng, Yumeng Liu, Haijun Li, Junjie Zhou, Dechang Peng

“…ABSTRACT Background and Purpose Obstructive sleep apnea (OSA) is linked to cognitive impairment and altered motor‐related brain networks. This study examined functional connectivity (FC) changes in subregions of the primary motor cortex (M1) in patients with OSA and their association with sleep structure, cognition, and clinical features. …”
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The Impact of Virtual Reality as a Rehabilitation Method Using TRAVEE System on Functional Outcomes and Disability in Stroke Patients: A Pilot Study by Claudia-Gabriela Potcovaru, Delia Cinteză, Miruna Ioana Săndulescu, Daniela Poenaru, Ovidiu Chiriac, Cristian Lambru, Alin Moldoveanu, Ana Magdalena Anghel, Mihai Berteanu

“…Conclusions: Combining CnvT with VR as a rehabilitation approach enhances motor function in the upper limb. This method has the potential to reduce disability scores and promote neuroplasticity.…”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…Decoding motor imagery electroencephalography (MI-EEG) signals presents significant challenges due to the difficulty in capturing the complex functional connectivity between channels and the temporal dependencies of EEG signals across different periods. …”
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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

“…To address this issue, we propose an end-to-end decoding framework, MCTGNet, whose core idea is to formulate the classification process as a high-order function approximation task that jointly models both task labels and feature structures. …”
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Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging by Chayut Bunterngchit, Jiaxing Wang, Zeng-Guang Hou

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hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction by Giulia Cisotto, Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis, Sara L. Manzoni

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System Derived Spatial-Temporal CNN for High-Density fNIRS BCI by Robin Dale, Thomas D. O'sullivan, Scott Howard, Felipe Orihuela-Espina, Hamid Dehghani

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Transcutaneous Spinal Stimulation Combined with Locomotor Training Improves Functional Outcomes in a Child with Cerebral Palsy: A Case Study by Darryn Atkinson, Kristen Barta, Fabian Bizama, Hazel Anderson, Sheila Brose, Dimitry G Sayenko

“…He was classified in the Gross Motor Function Classification System (GMFCS) at Level III. …”
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Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models by Levi Kaster, Ethan Hillis, Inez Y. Oh, Bhooma R. Aravamuthan, Virginia C. Lanzotti, Casey R. Vickstrom, Brain Gene Registry Consortium, Christina A. Gurnett, Philip R. O. Payne, Aditi Gupta

“…Results LLM pipelines demonstrated high accuracy (weighted-F1 scores > .90) in predicting ambulatory ability for both cohorts, likely due to the consistent use of Gross Motor Functional Classification System (GMFCS) as a consistent ground-truth standard. …”
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Obstacle Avoidance in Healthy Adults and People With Multiple Sclerosis: Preliminary fNIRS Study by Fares Al-Shargie, Michael Glassen, John DeLuca, Soha Saleh

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Environmental settings and families' socioeconomic status influence mobility and the use of mobility devices by children with cerebral palsy Contextos ambientais e nível socioeconô... by Valéria C. R. Cury, Priscilla R. P. Figueiredo, Marisa C. Mancini

“…RESULTS: Differences in mobility methods of participants classified as Gross Motor Function Classification System levels II, III and IV were found between home and community. …”
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Environmental settings and families' socioeconomic status influence mobility and the use of mobility devices by children with cerebral palsy Contextos ambientais e nível socioeconô... by Valéria C. R. Cury, Priscilla R. P. Figueiredo, Marisa C. Mancini

“…RESULTS: Differences in mobility methods of participants classified as Gross Motor Function Classification System levels II, III and IV were found between home and community. …”
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Protocol for a multisite randomised trial of Hand–Arm Bimanual Intensive Training Including Lower Extremity training for children with bilateral cerebral palsy: HABIT-ILE Australia... by Roslyn N Boyd, Leanne Sakzewski, Mark Chatfield, Yannick Bleyenheuft, Iona Novak, Catherine Elliott, Sarah Reedman, Cathy Morgan, Kerstin Pannek, Jurgen Fripp, Prue Golland, David Rowell, Robert Stuart Ware

“…A within-trial cost–utility analysis will be conducted to synthesise costs and benefits of HABIT-ILE compared with usual care.Methods and analysis 126 children with bilateral cerebral palsy aged 6–16 years will be recruited across three sites in Australia. Children will be stratified by site and Gross Motor Function Classification System and randomised using concealed allocation to either receiving HABIT-ILE immediately or being waitlisted for 26 weeks. …”
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Environmental settings and families' socioeconomic status influence mobility and the use of mobility devices by children with cerebral palsy by Valéria C. R. Cury, Priscilla R. P. Figueiredo, Marisa C. Mancini

“…RESULTS: Differences in mobility methods of participants classified as Gross Motor Function Classification System levels II, III and IV were found between home and community. …”
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Modernizing the Staging of Parkinson Disease Using Digital Health Technology by John Michael Templeton, Christian Poellabauer, Sandra Schneider, Morteza Rahimi, Taofeek Braimoh, Fhaheem Tadamarry, Jason Margolesky, Shanna Burke, Zeina Al Masry

“… Due to the complicated nature of Parkinson disease (PD), a number of subjective considerations (eg, staging schemes, clinical assessment tools, or questionnaires) on how best to assess clinical deficits and monitor clinical progression have been published; however, none of these considerations include a comprehensive, objective assessment of all functional areas of neurocognition affected by PD (eg, motor, memory, speech, language, executive function, autonomic function, sensory function, behavior, and sleep). …”
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Smaller and thinner long bones in children and adolescents with cerebral palsy and other neuromotor impairments by Erin Hodgson, Erin Hodgson, Erin Hodgson, Erin Hodgson, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Leigh Gabel, Leigh Gabel, Leigh Gabel, Leigh Gabel

“…ObjectivesThis study quantified bone and muscle health in children and adolescents with CP and other neuromotor impairments across all five gross motor function classification system (GMFCS) levels.MethodsPeripheral quantitative computed tomography (pQCT) scans of both tibiae were acquired at the 3%, 38%, and 66% of tibia length in 22 children and adolescents (4–17 years old) diagnosed with CP and “CP-like” neurodevelopmental conditions causing motor impairment. …”
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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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Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweight MLP by Lingzhi Lin, Yuqian Dai, Guodao Zhang, Yisu Ge, Abdulilah Mohammad Mayet, Xiaotian Pan, Genfu Yang, Mian Lin

“…Our results validate the potential of this lightweight, accessible method for enhancing the functionality of assistive devices and improving quality of life for individuals with motor impairments.…”
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Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes by Daniel F. Moakley, Melissa Campbell, Miquel Anglada-Girotto, Huijuan Feng, Andrea Califano, Edmund Au, Chaolin Zhang

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