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Related papers: Functional change in children with cerebral palsy

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Autism Spectrum Disorder (ASD) is a prevalent neurological disorder. However, the multi-faceted symptoms and large individual differences among ASD patients are hindering the diagnosis process, which largely relies on subject descriptions…

Neurons and Cognition · Quantitative Biology 2024-11-11 Yuzhe Chen , Dayu Qin , Ercan Engin Kuruoglu

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that end-to-end trainable neural networks for image sequence…

Computer Vision and Pattern Recognition · Computer Science 2022-11-18 Haomiao Ni , Yuan Xue , Liya Ma , Qian Zhang , Xiaoye Li , Xiaolei Huang

Long-term efficacy of internal globus pallidus (GPi) deep-brain stimulation (DBS) in DYT1 dystonia and disease progression under DBS was studied. Twenty-six patients of this open-label study were divided into two groups: (A) with single…

Falling in Parkinsonian syndromes (PS) is associated with postural instability and consists a common cause of disability among PS patients. Current posturographic practices record the body's center-of-pressure displacement (statokinesigram)…

Machine Learning · Computer Science 2019-07-16 Ioannis Bargiotas , Argyris Kalogeratos , Myrto Limnios , Pierre-Paul Vidal , Damien Ricard , Nicolas Vayatis

Cardiotocography (CTG) is a key element when it comes to monitoring fetal well-being. Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC). The goal is to determine how the fetus reacts to the…

Signal Processing · Electrical Eng. & Systems 2022-10-03 Julien Bertieaux , Mohammadhadi Shateri , Fabrice Labeau , Thierry Dutoit

Alzheimer's disease is a sickness that has been studied from various areas of knowledge (biomarkers, brain structure, behavior, cognitive impairment). Our aim was to develop and to apply a protocol of programmed physical activity according…

Individualized training improved post-stroke motor function rehabilitation efficiency. However, the mechanisms of how individualized training facilitates recovery is not clear. This study explored the cortical and corticomuscular…

Signal Processing · Electrical Eng. & Systems 2025-02-21 Yuchen Xu , Yulong Peng , Yuanfa Yao , Xiaoman Fan , Minmin Wang , Feng Gao , Mohamad Sawan , Shaomin Zhang , Xiaoling Hu

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in the early stages. In this work, we examine the behavior of a…

Neurons and Cognition · Quantitative Biology 2025-10-23 Thomas Thebaud , Anna Favaro , Casey Chen , Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak

The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be…

Computer Vision and Pattern Recognition · Computer Science 2012-11-09 Jordan Hashemi , Thiago Vallin Spina , Mariano Tepper , Amy Esler , Vassilios Morellas , Nikolaos Papanikolopoulos , Guillermo Sapiro

Severe traumatic brain injury can lead to disorders of consciousness (DOC) characterized by deficit in conscious awareness and cognitive impairment including coma, vegetative state, minimally consciousness, and lock-in syndrome. Of crucial…

Neurons and Cognition · Quantitative Biology 2013-10-14 Verónica Mäki-Marttunen , Ibai Diez , Jesus M. Cortes , Dante R. Chialvo , Mirta Villarreal

Brain computer interfaces systems are controlled by users through neurophysiological input for a variety of applications including communication, environmental control, motor rehabilitation, and cognitive training. Although individuals with…

Human-Computer Interaction · Computer Science 2021-11-25 Deirdre McLaughlin , Daniel Klee , Tab Memmott , Betts Peters , Jack Wiedrick , Melanie Fried-Oken , Barry Oken

INTRODUCTION: Heterogeneity in the progression of Alzheimer's disease makes it challenging to predict the rate of cognitive and functional decline for individual patients. Tools for short-term prediction could help enrich clinical trial…

Quantitative Methods · Quantitative Biology 2021-01-22 Neda Shafiee , Mahsa Dadar , Simon Ducharme , D. Louis Collins

Traumatic brain injury (TBI) presents a significant public health challenge, often resulting in mortality or lasting disability. Predicting outcomes such as mortality and Functional Status Scale (FSS) scores can enhance treatment strategies…

Machine Learning · Computer Science 2024-10-29 Lucas Steinmetz , Shivam Maheshwari , Garik Kazanjian , Abigail Loyson , Tyler Alexander , Venkat Margapuri , C. Nataraj

Protective behavior exhibited by people with chronic pain (CP) during physical activities is the key to understanding their physical and emotional states. Existing automatic protective behavior detection (PBD) methods rely on…

Machine Learning · Computer Science 2021-02-03 Chongyang Wang , Yuan Gao , Akhil Mathur , Amanda C. De C. Williams , Nicholas D. Lane , Nadia Bianchi-Berthouze

The fetal cortical plate (CP) undergoes drastic morphological changes during the in utero development. Therefore, CP growth and folding patterns are key indicator in the assessment of the brain development and maturation. Magnetic resonance…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Priscille de Dumast , Hamza Kebiri , Vincent Dunet , Mériam Koob , Meritxell Bach Cuadra

Adolescents with chronic illnesses need to learn self-management skills in preparation for the transition from pediatric to adult healthcare, which is associated with negative health outcomes for youth. However, few studies have explored…

Human-Computer Interaction · Computer Science 2024-09-30 Rachael Zehrung , Madhu Reddy , Yunan Chen

The mastery of skills such as playing tennis or balancing an inverted pendulum implies a very accurate control of movements to achieve the task goals. Traditional accounts of skilled action control that focus on either routinization or…

Neurons and Cognition · Quantitative Biology 2021-12-23 Nicola Catenacci Volpi , Martin Greaves , Dari Trendafilov , Christoph Salge , Giovanni Pezzulo , Daniel Polani

Loss of cortical integration and changes in the dynamics of electrophysiological brain signals characterize the transition from wakefulness towards unconsciousness. The common mechanism underlying these observations remains unknown. In this…

Falls during walking are a major health issue in the elderly population. Older individuals are usually more cautious, work more slowly, take shorter steps, and exhibit increased step-to-step variability. They often have impaired dynamic…

Neurons and Cognition · Quantitative Biology 2014-10-13 Philippe Terrier , Fabienne Reynard

Autism Spectrum Disorder (ASD) is characterized by an altered phenotype in social interaction and communication. Additionally, autism typically manifests differently in females as opposed to males: a phenomenon that has likely led to…

Neurons and Cognition · Quantitative Biology 2024-05-08 Michelle McCleod , Sean Borneman , Evie Malaia