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Tactile Perception clinical trials

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NCT ID: NCT06231810 Recruiting - Stroke Clinical Trials

Tracking a Tactile Signal Along the Nervous System

Start date: February 29, 2024
Phase: N/A
Study type: Interventional

Quantify the flow of a tactile signal from the stimulus at the finger at the peripheral nervous system (PNS), to the central nervous system (CNS), and to cognitive perception at the brain in young adults (Aim 1) and individuals with and without stroke (Aim 2).

NCT ID: NCT05013814 Completed - Cerebral Palsy Clinical Trials

The Effect of Tactile Deficit on Motor Function in Unilateral Cerebral Palsy

Start date: September 1, 2017
Phase:
Study type: Observational

Cerebral palsy(CP) is the most common cause of disability in childhood. The motor spectrum of disorders is characterized by abnormal muscle tone, posture, and movement. The motor disorders of CP are often accompanied by disturbances of sensation, perception, cognition and behavior. Besides classical appearance of symptomatology, tactile impairment takes an important place to be evaluated. Assessment of the integrity of tactile function composes of two main steps: tactile registration and tactile perception. Our main goal is the define the effect of tactile impairment on hand motor function with the usage of identical assessment tools in patients with unilateral cerebral palsy (UCP) and typically developed children (TDC).

NCT ID: NCT04062318 Recruiting - Tactile Perception Clinical Trials

Beta Events and Sensory Perception

Start date: July 25, 2019
Phase: N/A
Study type: Interventional

Low-frequency brain rhythms in the alpha (8-14Hz) and beta (15-29Hz) bands are strong predictors of perception and functional performance in a range of tasks, and are disrupted in several disease states. The purpose of this study is to investigate a direct causal relationship between low-frequency brain rhythms and sensory perception, and to optimize commonly used TMS paradigms to impact sensory processing and perception in a similar manner as endogenous rhythms. To do so, this study combines human magnetic resonance imaging (MRI), electroencephalography (EEG), non-invasive brain stimulation (transcranial magnetic stimulation; TMS), and biophysically principled computational neural modeling.