Supraspinal contributions to defective antagonistic inhibition and freezing of gait in Parkinson’s disease

Brain, Journal Year: 2024, Volume and Issue: 147(12), P. 4056 - 4071

Published: Oct. 9, 2024

The neuromuscular circuit mechanisms of freezing gait in Parkinson's disease have received little study. Technological progress enables researchers chronically to sense local field potential activity the basal ganglia patients while walking. To study subthalamic and processes supraspinal contributions spinal motor integration, we recorded potentials, surface EMG antagonistic leg muscles kinematics walking freezing. evaluate specificity our findings, controlled findings internally generated volitional stops. We found specific activation-deactivation abnormalities oscillatory nucleus both before during a freeze. Furthermore, were able show with synchronization analyses that subthalamo-spinal circuits entrain neurons defective timing activation pattern. main correlates when turning into as follows: (i) disturbed reciprocity between muscles; (ii) increased co-contraction antagonists; (iii) time pattern gastrocnemius muscle; (iv) subthalamo-muscular coherence Beyond pathophysiological insights contributing gait, inform conceptualization future neurorestorative therapies.

Language: Английский

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Neurobiological mechanism of music improving gait disorder in patients with Parkinson’s disease: a mini review

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 3, 2025

Walking ability is essential for human survival and health. Its basic rhythm mainly generated by the central pattern generator of spinal cord. The rhythmic stimulation music to auditory center affects cerebral cortex other higher nerve centers, acts on generator. By means entrainment, can produce walking synchronized with rhythm, control muscle tension, then regulate gait. Basal ganglia dysfunction main cause abnormal gait in patients Parkinson's disease. Music therapy provides external stimulation, recruits neural networks bypass basal synchronizes rhythms both time space through auditory-motor networks, helping promote improvement patterns

Language: Английский

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A methodological scoping review on EMG processing and synergy-based results in muscle synergy studies in Parkinson’s disease

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 6, 2025

Parkinson's Disease is the second most common neurodegenerative disease in world. It affects mainly people over 65 and incidence increases with age. characterized by motor non-motor symptoms several clinical manifestations. The evident symptom that all patients impairment of control, including bradykinesia, tremor, joint rigidity, postural instability. In literature, it has been evaluated muscle synergies, a well-known method for evaluating control at muscular level. However, few studies are available there still major gap to fill exploit potential assessing Disease, both understanding physiopathology practice. light fostering future developments field, this review we initially screened 212 papers on Scopus Web Science selected 15 them summarize main features investigations employed synergies analyze Disease. We detailed reporting findings, report EMG processing choices synergy-based results. found synergistic general altered but can improve if subjected pharmacological rehabilitation therapies. Moreover, further needed. discuss field assessment topic view physicians, promising lines research practice from perspective engineers, methodological application approaches.

Language: Английский

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Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 20, 2025

Brain-Computer Interfaces (BCI) will revolutionize the way people with severe impairment of speech production can communicate. While current efforts focus on training classifiers vast amounts neurophysiological signals to decode imagined speech, much less attention has been given users' ability adapt their neural activity improve BCI-control. To address whether BCI-control improves and characterize underlying dynamics, we trained 15 healthy participants operate a binary BCI system based electroencephalography (EEG) through syllable imagery for five consecutive days. Despite considerable interindividual variability in performance learning, significant improvement was globally observed. Using control experiment, show that continuous feedback about decoded is necessary learning occur. Performance associated broad EEG power increase frontal theta focal enhancement temporal low-gamma activity, showing an imagined-speech involves dynamic changes features at different spectral scales. These findings demonstrate combining machine human successful strategy enhance controllability.

Language: Английский

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Biomaterials for neuroengineering: Applications and challenges

Regenerative Biomaterials, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 1, 2025

Abstract Neurological injuries and diseases are a leading cause of disability worldwide, underscoring the urgent need for effective therapies. Neural regaining enhancement therapies seen as most promising strategies restoring neural function, offering hope individuals affected by these conditions. Despite their promise, path from animal research to clinical application is fraught with challenges. Neuroengineering, particularly through use biomaterials, has emerged key field that paving way innovative solutions It seeks understand treat neurological disorders, unravel nature consciousness, explore mechanisms memory brain’s relationship behavior, tissue engineering, interfaces targeted drug delivery systems. These including both natural synthetic types, designed replicate cellular environment brain, thereby facilitating repair. This review aims provide comprehensive overview biomaterials in neuroengineering, highlighting functional across basic practice. covers recent developments biomaterial-based products, 2D 3D bioprinted scaffolds cell organoid culture, brain-on-a-chip systems, biomimetic electrodes brain–computer interfaces. also explores artificial synapses networks, discussing applications modeling microenvironments repair regeneration, modulation manipulation integration traditional Chinese medicine. serves guide role advancing neuroengineering solutions, providing insights into ongoing efforts bridge gap between innovation application.

Language: Английский

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Long-term consistency of aperiodic and periodic physiomarkers in subthalamic local field potentials in Parkinson’s disease

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Beta oscillations (± 13-35 Hz) and aperiodic spectral features extracted from local field potential (LFP) recordings have been identified as promising physiomarkers for adaptive deep brain stimulation (aDBS) in Parkinson's disease. However, the long-term consistency of these signal patients years after DBS implantation is still unclear. Bilateral subthalamic nucleus LFPs were recorded twelve with an average inter-recording interval 137 days, during rest, a finger-to-nose task speech, switched off on. Intra-class correlation coefficients indicated moderate between-visit offset exponent but good to excellent beta peak power. Task execution induced power changes that statistically comparable across visits. Results remained inconclusive regarding which peaks exhibited strongest suppression post-stimulation. Our findings support primary physiomarker aDBS, components serving supplementary markers.

Language: Английский

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Pre-movement sensorimotor oscillations shape the sense of agency by gating cortical connectivity

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 15, 2025

Abstract Our sense of agency, the subjective experience controlling our actions, is a crucial component self-awareness and motor control. It thought to originate from comparison between intentions actions across broad cortical networks. However, underlying neural mechanisms are still not fully understood. We hypothesized that oscillations in theta-alpha range, orchestrate long-range connectivity, may mediate sensorimotor comparisons. To test this, we manipulated relation tetraplegic user brain machine interface (BMI), decoding primary cortex (M1) activity restore hand functionality. found pre-movement phase low-alpha M1 predicted participant’s agency judgements. Further, using EEG-BMI healthy participants, alpha supplementary area (SMA) correlated with ratings, changes their functional connectivity parietal, temporal prefrontal areas. These findings argue for phase-driven gating as key mechanism integration agency.

Language: Английский

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Deep brain–machine interfaces: sensing and modulating the human deep brain

National Science Review, Journal Year: 2022, Volume and Issue: 9(10)

Published: Oct. 1, 2022

Abstract Different from conventional brain–machine interfaces that focus more on decoding the cerebral cortex, deep enable interactions between external machines and brain structures. They sense modulate neural activities, aiming at function restoration, device control therapeutic improvements. In this article, we provide an overview of multiple recording stimulation techniques can serve as interfaces. We highlight two widely used interface technologies, namely stereotactic electroencephalography, for technical trends, clinical applications connectivity research. discuss potential to develop closed-loop achieve effective applicable systems treatment neurological psychiatric disorders.

Language: Английский

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A machine-learning-enabled smart neckband for monitoring dietary intake

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(5)

Published: April 30, 2024

The increasing need for precise dietary monitoring across various health scenarios has led to innovations in wearable sensing technologies. However, continuously tracking food and fluid intake during daily activities can be complex. In this study, we present a machine-learning-powered smart neckband that features wireless connectivity comfortable, foldable design. Initially considered beneficial managing conditions such as diabetes obesity by facilitating control, the device's utility extends beyond these applications. It proved valuable sports enthusiasts, individuals focused on diet general monitoring. Its connectivity, ergonomic design, advanced classification capabilities offer promising solution overcoming limitations of traditional methods, highlighting its potential personalized healthcare wellness strategies.

Language: Английский

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Closing the Loop in DBS: A Data-driven Approach

Parkinsonism & Related Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 107348 - 107348

Published: Feb. 1, 2025

Language: Английский

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