Developing Proprioceptive Countermeasures to Mitigate Postural and Locomotor Control Deficits After Long-Duration Spaceflight DOI Creative Commons
Timothy R. Macaulay,

Brian T. Peters,

Scott J. Wood

et al.

Frontiers in Systems Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: April 27, 2021

Astronauts experience post-flight disturbances in postural and locomotor control due to sensorimotor adaptations during spaceflight. These alterations may have adverse consequences if a rapid egress is required after landing. Although current exercise protocols can effectively mitigate cardiovascular muscular deconditioning, the benefits dysfunction are limited. Furthermore, some capabilities like treadmill running currently not feasible on exploration spaceflight vehicles. Thus, new in-flight operational countermeasures needed deficits missions. Data from analog studies collectively suggest that body unloading decreases utilization of proprioceptive input, this adaptation strongly contributes balance For example, return Earth, an astronaut’s vestibular input be compromised by microgravity, but their unloading. Since tactile important for maintaining control, keeping these systems tuned respond upright challenges flight improve functional task performance through dynamic reweighting sensory input. Novel approaches compensate training microgravity must tested environment such as head down bed rest. Here, we review insights literature provide observations our laboratory could inform development countermeasure.

Language: Английский

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives DOI Creative Commons
Alexander Mathis, Steffen Schneider, Jessy Lauer

et al.

Neuron, Journal Year: 2020, Volume and Issue: 108(1), P. 44 - 65

Published: Oct. 1, 2020

Language: Английский

Citations

210
Toward higher-performance bionic limbs for wider clinical use DOI
Dario Farina, Ivan Vujaklija, Rickard Brånemark

et al.

Nature Biomedical Engineering, Journal Year: 2021, Volume and Issue: 7(4), P. 473 - 485

Published: May 31, 2021

Language: Английский

Citations

189
Opportunities and challenges in the development of exoskeletons for locomotor assistance DOI Open Access
Christopher Siviy,

Lauren Baker,

Brendan Quinlivan

et al.

Nature Biomedical Engineering, Journal Year: 2022, Volume and Issue: 7(4), P. 456 - 472

Published: Dec. 22, 2022

Language: Английский

Citations

105
Recent advances in bioelectronics chemistry DOI
Yin Fang, Lingyuan Meng, Aleksander Promiński

et al.

Chemical Society Reviews, Journal Year: 2020, Volume and Issue: 49(22), P. 7978 - 8035

Published: Jan. 1, 2020

In this review, we focus on the contributions made to bioelectronic field from various aspects of chemistry.

Language: Английский

Citations

83
Towards a Functional Performance Validation Standard for Industrial Low-Back Exoskeletons: State of the Art Review DOI Creative Commons
Mattia Pesenti, Alberto Antonietti, Marta Gandolla

et al.

Sensors, Journal Year: 2021, Volume and Issue: 21(3), P. 808 - 808

Published: Jan. 26, 2021

While the research interest for exoskeletons has been rising in last decades, missing standards their rigorous evaluation are potentially limiting adoption industrial field. In this context, worker support have aim to reduce physical effort required by humans, with dramatic social and economic impact. Indeed, can occurrence entity of work-related musculoskeletal disorders that often cause absence from work, resulting an eventual productivity loss. This very urgent multifaceted issue is starting be acknowledged researchers. article provides a systematic review state art functional performance low-back workers. We report state-of-the-art criteria metrics used such purpose, highlighting lack standard practice. Very few studies carried out assistance provided device. To address also topic, ends proposed framework validation industry, pave way definition standards.

Language: Английский

Citations

71
Robot-Assisted Therapy for Upper Extremity Motor Impairment After Stroke: A Systematic Review and Meta-Analysis DOI Open Access
Jingyi Wu, Hao Cheng, Jiaqi Zhang

et al.

Physical Therapy, Journal Year: 2021, Volume and Issue: 101(4)

Published: Jan. 17, 2021

Abstract Objective The purpose of this study was to review the effects robot-assisted therapy (RT) for improving poststroke upper extremity motor impairment. Methods PubMed, Embase, Medline, and Web Science databases were searched from inception April 8, 2020. Randomized controlled trials that conducted evaluate RT on impairment used Fugl-Meyer assessment scores as an outcome included. Two authors independently screened articles, extracted data, assessed methodological quality included studies using Physiotherapy Evidence Database (PEDro) scale. A random-effects meta-analysis performed pool effect sizes across studies. Results Forty-one randomized with 1916 stroke patients Compared dose-matched conventional rehabilitation, significantly improved stroke, a small size (Hedges g = 0.25; 95% CI, 0.11-0.38; I2 45.9%). subgroup analysis revealed unilateral RT, but not bilateral superior rehabilitation 0.32; 0.15-0.50; 55.9%). Regarding type robot devices, end effector device 0.22; 0.09–0.36; 35.4%), exoskeleton device, rehabilitation. stage, between-group difference (ie, vs convention rehabilitation) significant only people late subacute or chronic 0.33; 0.16-0.50; 34.2%). Conclusion might be in after notable hemiplegia limited potential spontaneous recovery.

Language: Английский

Citations

69
The structural connectome and motor recovery after stroke: predicting natural recovery DOI Creative Commons
Philipp Koch, Chang-Hyun Park, Gabriel Girard

et al.

Brain, Journal Year: 2021, Volume and Issue: 144(7), P. 2107 - 2119

Published: March 9, 2021

Stroke patients vary considerably in terms of outcomes: some present 'natural' recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge stroke rehabilitation is identify individual potential make personalized decisions for neuro-rehabilitation, obviating the 'one-size-fits-all' approach. This goal requires (i) prediction courses acute stage; and (ii) an understanding underlying neuronal network mechanisms. 'Natural' especially variable severely impaired patients, underscoring special clinical importance this subgroup. Fractional anisotropy connectomes based on tractography 92 were analysed 2 weeks after (TA) changes 3 months (TC - TA). Motor was assessed using Fugl-Meyer Upper Extremity (FMUE) scale. Support vector machine classifiers trained separate with natural from without whole-brain structural define respective patterns, focusing (FMUE < 20). Prediction accuracies cross-validated internally, one independent dataset generalized two datasets. The connectome capable segregating fitters non-fitters, most importantly among (TA: accuracy = 0.92, precision 0.93). Secondary analyses studying recovery-relevant characteristics selected features revealed relevant differences between networks contributing at over time TA); properties specific patients. Important included parietofrontal motor including intraparietal sulcus, premotor primary cortices beyond them also attentional, somatosensory or multimodal areas (e.g. insula), strongly better predicting stroke. Computational approaches allowed onset, difficult predict group identified networks. information will permit be stratified into different groups settings pave way towards neurorehabilitative treatment.

Language: Английский

Citations

59
Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function DOI Creative Commons
Marta Carè, Michela Chiappalone, Vinícius Rosa Cota

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: March 7, 2024

Despite considerable advancement of first choice treatment (pharmacological, physical therapy, etc.) over many decades, neurological disorders still represent a major portion the worldwide disease burden. Particularly concerning, trend is that this scenario will worsen given an ever expanding and aging population. The different methods brain stimulation (electrical, magnetic, are, on other hand, one most promising alternatives to mitigate suffering patients families when conventional fall short delivering efficacious treatment. With applications in virtually all conditions, neurostimulation has seen success providing relief symptoms. On large variability therapeutic outcomes also been observed, particularly usage non-invasive (NIBS) modalities. Borrowing inspiration concepts from its pharmacological counterpart empowered by unprecedented neurotechnological advancement, field recent years widespread aimed at personalization parameters, based biomarkers individuals being treated. rationale that, taking into account important factors influencing outcome, personalized can yield much-improved therapy. Here, we review literature delineate state-of-the-art stimulation, while considering aspects type informing parameter (anatomy, function, hybrid), invasiveness, level development (pre-clinical experimentation versus clinical trials). Moreover, reviewing relevant closed loop neuroengineering solutions general activity dependent method particular, put forward idea improved may be achieved able track real time dynamics adjust parameters accordingly. We conclude such approaches have great potential promoting recovery lost functions enhance quality life for patients.

Language: Английский

Citations

10
Central-Peripheral Nervous System Activation in Exoskeleton Modes: A Granger Causality Analysis via EEG-EMG Fusion DOI
Xiabing Zhang, Yuqin Li, Pengfei Zhang

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126311 - 126311

Published: Jan. 1, 2025

Language: Английский

Citations

1
Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice DOI Creative Commons
Giovanni Morone, Marco Tramontano, Stefano Paolucci

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 29, 2025

Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use clinical and research settings, there are still significant needs to be made concerning indications. In the present perspective manuscript, we provide some hypotheses suitability different RAAT according features available devices characteristics, showing limitations strengths. Several factors were considered optimization intervention, including technological characteristics (e.g., support constriction), residual upper limb motor function, phase Finally, outline key areas improvement advance field near future neuroscientific bases tailored improve outcome robotic rehabilitation.

Language: Английский

Citations

1