Role of Robotics in the Assessment of Neurodegenerative Disorders

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Neurodegenerative disorders are characterized by the degeneration of nerve cells, causing debilitating symptoms that negatively impact patient’s quality life. Traditionally, assessment neurodegenerative relies on clinical evaluations, which subjective and inconsistent. An objective evaluation is vital to provide good care patients. With emergence robotic technology, several novel robot systems have been developed improve treatment techniques for neurogenerative disorders. Wearable robots, include motion sensors, real-time monitoring upper-limb gait movements, offers a comprehensive set information detect early signs motor deterioration. Similarly, exoskeletons more prevalently proposed as an tool. These not only enhance accuracy assessments but also reduce burden healthcare professionals automating routine tasks. few sets in recent times. This chapter aims focus discussing assessment, treatment, rehabilitation patients diagnosed with Furthermore, we will elaborate existing limitations systems, thereby highlighting scope future studies.

Language: Английский

Hypo-connectivity of the primary somatosensory cortex in Parkinson’s disease: a resting-state functional MRI study

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: April 30, 2024

Background Parkinson’s disease (PD) is characterized by a range of motor symptoms as well documented sensory dysfunction. This dysfunction can present itself either “pure” disturbance or consequence sensory-motor integration within the central nervous system. study aims to investigate changes in functional connectivity primary somatosensory cortex (S1) and its clinical significance (PD), an area that has received limited attention previous neuroimaging studies. Methods included thirty-three patients with PD thirty-four healthy controls (HCs). Clinical evaluations were conducted assess manifestations, severity, capacity all patients. Resting-state MRI (fMRI) was employed evaluate six paired S1 subregions participants. Seed-based correlation (SBC) analysis utilized construct matrix among generate maps between remaining brain voxels. Finally, partial least-squares (PLS) association modified characteristics Results In matrix, demonstrated notable decrease across various comparison HCs ( p < 0.001, corrected using network-based methods). maps, hypo-connectivity primarily observed sensorimotor network common patterns for false discovery rate) default mode (DMN) distinct patterns. Moreover, this identified negative scores axial postural instability/gait difficulty (PIGD) Nevertheless, direct relationship assessment scales not established. Conclusion offers novel insights into neurobiological mechanisms contribute PD, highlighting significant involvement disturbances

Language: Английский

Sensorimotor Integration: A Review of Neural and Computational Models and the Impact of Parkinson’s Disease

IEEE Transactions on Cognitive and Developmental Systems, Journal Year: 2024, Volume and Issue: 17(1), P. 3 - 21

Published: Dec. 23, 2024

Language: Английский