The Experts below are selected from a list of 1131 Experts worldwide ranked by ideXlab platform
Daniel R. Gold - One of the best experts on this subject based on the ideXlab platform.
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Eyelid Dysfunction in Neurodegenerative, Neurogenetic, and Neurometabolic Disease.
Frontiers in Neurology, 2017Co-Authors: Ali G. Hamedani, Daniel R. GoldAbstract:Eye Movement abnormalities are among the earliest clinical manifestations of inherited and acquired neurodegenerative diseases and play an integral role in their diagnosis. Eyelid Movement is neuroanatomically linked to eye Movement, and thus Eyelid dysfunction can also be a distinguishing feature of neurodegenerative disease and complements eye Movement abnormalities in helping to understand their pathophysiology. In this review, we summarize the various Eyelid abnormalities that can occur in neurodegenerative, neurogenetic, and neurometabolic disease. We discuss Eyelid disorders such as ptosis, Eyelid retraction, abnormal spontaneous and reflexive blinking, blepharospasm, and Eyelid apraxia in the context of the neuroanatomic pathways that are affected. We also review the literature regarding the prevalence of Eyelid abnormalities in different neurologic diseases as well as treatment strategies.
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Eyelid Dysfunction in Neurodegenerative, Neurogenetic, and Neurometabolic Disease
Frontiers Media S.A., 2017Co-Authors: Ali G. Hamedani, Daniel R. GoldAbstract:Eye Movement abnormalities are among the earliest clinical manifestations of inherited and acquired neurodegenerative diseases and play an integral role in their diagnosis. Eyelid Movement is neuroanatomically linked to eye Movement, and thus Eyelid dysfunction can also be a distinguishing feature of neurodegenerative disease and complements eye Movement abnormalities in helping us to understand their pathophysiology. In this review, we summarize the various Eyelid abnormalities that can occur in neurodegenerative, neurogenetic, and neurometabolic diseases. We discuss Eyelid disorders, such as ptosis, Eyelid retraction, abnormal spontaneous and reflexive blinking, blepharospasm, and Eyelid apraxia in the context of the neuroanatomic pathways that are affected. We also review the literature regarding the prevalence of Eyelid abnormalities in different neurologic diseases as well as treatment strategies (Table 1)
Marco Schieppati - One of the best experts on this subject based on the ideXlab platform.
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sensorimotor integration during stance processing time of active or passive addition or withdrawal of visual or haptic information
Neuroscience, 2012Co-Authors: Stefania Sozzi, A Monti, Marco SchieppatiAbstract:Vision (V) and touch (T) help stabilize our standing body, but little is known on the time-interval necessary for the brain to process the sensory inflow (or its removal) and exploit the new information (or counteract its removal). We have estimated the latency of onset and the time-course of the changes in postural control mode following addition or withdrawal of sensory information and the effect of anticipation thereof. Ten subjects stood in tandem position. They wore LCD goggles that allowed or removed vision, or lightly touched (eyes-closed) with the index finger (haptic stimulation) a pad that could be suddenly lowered (passive task). In different sessions, sensory shifts were deliberately produced by opening (or closing) the eyes or touching the pad (or lifting the finger) (active task). We recorded Eyelid Movement and finger force (<1N), sway of center of foot pressure (CoP), electromyogram (EMG) of soleus, tibialis and peroneus muscle, bilaterally, and of extensor indicis. The latency of the CoP and EMG changes following the shifts were statistically estimated on the averaged traces of 50 repetitions per condition. Muscle activity and sway adaptively decreased in amplitude on adding stabilizing visual or haptic information. The time-interval from the sensory shift to decrease in EMG and sway was ∼0.5-2 s under both conditions. It was shorter for tibialis than peroneus or soleus and shorter for visual than haptic shift. CoP followed the tibialis by ∼0.2 s. Slightly shorter intervals were observed following active sensory shifts. Latencies of EMG and postural changes were the shortest on removal of both haptic and visual information. Subsequently, the time taken to reach the steady-state was ∼1-3 s under both active and passive tasks. A startle response at ∼100 ms could precede EMG changes. Reaction-time contractions in response to sensory shifts appeared at ∼200 ms, earlier than the adaptive changes. Changes in postural behavior require a finite amount of time from visual or haptic shift, much longer than reflexes or rapid voluntary responses, suggesting a time-consuming central integration process. This process is longer on addition than removal of haptic information, indicating a heavier computational load. These findings should be taken into account when considering problems of sensorimotor integration in elderly subjects or patients and when designing simulation models of human balance.
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Sensorimotor integration during stance: processing time of active or passive addition or withdrawal of visual or haptic information.
Neuroscience, 2012Co-Authors: Stefania Sozzi, A Monti, Marco SchieppatiAbstract:Vision (V) and touch (T) help stabilize our standing body, but little is known on the time-interval necessary for the brain to process the sensory inflow (or its removal) and exploit the new information (or counteract its removal). We have estimated the latency of onset and the time-course of the changes in postural control mode following addition or withdrawal of sensory information and the effect of anticipation thereof. Ten subjects stood in tandem position. They wore LCD goggles that allowed or removed vision, or lightly touched (eyes-closed) with the index finger (haptic stimulation) a pad that could be suddenly lowered (passive task). In different sessions, sensory shifts were deliberately produced by opening (or closing) the eyes or touching the pad (or lifting the finger) (active task). We recorded Eyelid Movement and finger force (
Ali G. Hamedani - One of the best experts on this subject based on the ideXlab platform.
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Eyelid Dysfunction in Neurodegenerative, Neurogenetic, and Neurometabolic Disease.
Frontiers in Neurology, 2017Co-Authors: Ali G. Hamedani, Daniel R. GoldAbstract:Eye Movement abnormalities are among the earliest clinical manifestations of inherited and acquired neurodegenerative diseases and play an integral role in their diagnosis. Eyelid Movement is neuroanatomically linked to eye Movement, and thus Eyelid dysfunction can also be a distinguishing feature of neurodegenerative disease and complements eye Movement abnormalities in helping to understand their pathophysiology. In this review, we summarize the various Eyelid abnormalities that can occur in neurodegenerative, neurogenetic, and neurometabolic disease. We discuss Eyelid disorders such as ptosis, Eyelid retraction, abnormal spontaneous and reflexive blinking, blepharospasm, and Eyelid apraxia in the context of the neuroanatomic pathways that are affected. We also review the literature regarding the prevalence of Eyelid abnormalities in different neurologic diseases as well as treatment strategies.
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Eyelid Dysfunction in Neurodegenerative, Neurogenetic, and Neurometabolic Disease
Frontiers Media S.A., 2017Co-Authors: Ali G. Hamedani, Daniel R. GoldAbstract:Eye Movement abnormalities are among the earliest clinical manifestations of inherited and acquired neurodegenerative diseases and play an integral role in their diagnosis. Eyelid Movement is neuroanatomically linked to eye Movement, and thus Eyelid dysfunction can also be a distinguishing feature of neurodegenerative disease and complements eye Movement abnormalities in helping us to understand their pathophysiology. In this review, we summarize the various Eyelid abnormalities that can occur in neurodegenerative, neurogenetic, and neurometabolic diseases. We discuss Eyelid disorders, such as ptosis, Eyelid retraction, abnormal spontaneous and reflexive blinking, blepharospasm, and Eyelid apraxia in the context of the neuroanatomic pathways that are affected. We also review the literature regarding the prevalence of Eyelid abnormalities in different neurologic diseases as well as treatment strategies (Table 1)
Stefania Sozzi - One of the best experts on this subject based on the ideXlab platform.
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sensorimotor integration during stance processing time of active or passive addition or withdrawal of visual or haptic information
Neuroscience, 2012Co-Authors: Stefania Sozzi, A Monti, Marco SchieppatiAbstract:Vision (V) and touch (T) help stabilize our standing body, but little is known on the time-interval necessary for the brain to process the sensory inflow (or its removal) and exploit the new information (or counteract its removal). We have estimated the latency of onset and the time-course of the changes in postural control mode following addition or withdrawal of sensory information and the effect of anticipation thereof. Ten subjects stood in tandem position. They wore LCD goggles that allowed or removed vision, or lightly touched (eyes-closed) with the index finger (haptic stimulation) a pad that could be suddenly lowered (passive task). In different sessions, sensory shifts were deliberately produced by opening (or closing) the eyes or touching the pad (or lifting the finger) (active task). We recorded Eyelid Movement and finger force (<1N), sway of center of foot pressure (CoP), electromyogram (EMG) of soleus, tibialis and peroneus muscle, bilaterally, and of extensor indicis. The latency of the CoP and EMG changes following the shifts were statistically estimated on the averaged traces of 50 repetitions per condition. Muscle activity and sway adaptively decreased in amplitude on adding stabilizing visual or haptic information. The time-interval from the sensory shift to decrease in EMG and sway was ∼0.5-2 s under both conditions. It was shorter for tibialis than peroneus or soleus and shorter for visual than haptic shift. CoP followed the tibialis by ∼0.2 s. Slightly shorter intervals were observed following active sensory shifts. Latencies of EMG and postural changes were the shortest on removal of both haptic and visual information. Subsequently, the time taken to reach the steady-state was ∼1-3 s under both active and passive tasks. A startle response at ∼100 ms could precede EMG changes. Reaction-time contractions in response to sensory shifts appeared at ∼200 ms, earlier than the adaptive changes. Changes in postural behavior require a finite amount of time from visual or haptic shift, much longer than reflexes or rapid voluntary responses, suggesting a time-consuming central integration process. This process is longer on addition than removal of haptic information, indicating a heavier computational load. These findings should be taken into account when considering problems of sensorimotor integration in elderly subjects or patients and when designing simulation models of human balance.
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Sensorimotor integration during stance: processing time of active or passive addition or withdrawal of visual or haptic information.
Neuroscience, 2012Co-Authors: Stefania Sozzi, A Monti, Marco SchieppatiAbstract:Vision (V) and touch (T) help stabilize our standing body, but little is known on the time-interval necessary for the brain to process the sensory inflow (or its removal) and exploit the new information (or counteract its removal). We have estimated the latency of onset and the time-course of the changes in postural control mode following addition or withdrawal of sensory information and the effect of anticipation thereof. Ten subjects stood in tandem position. They wore LCD goggles that allowed or removed vision, or lightly touched (eyes-closed) with the index finger (haptic stimulation) a pad that could be suddenly lowered (passive task). In different sessions, sensory shifts were deliberately produced by opening (or closing) the eyes or touching the pad (or lifting the finger) (active task). We recorded Eyelid Movement and finger force (
Qiang Ji - One of the best experts on this subject based on the ideXlab platform.
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real time nonintrusive monitoring and prediction of driver fatigue
IEEE Transactions on Vehicular Technology, 2004Co-Authors: Qiang JiAbstract:This paper describes a real-time online prototype driver-fatigue monitor. It uses remotely located charge-coupled-device cameras equipped with active infrared illuminators to acquire video images of the driver. Various visual cues that typically characterize the level of alertness of a person are extracted in real time and systematically combined to infer the fatigue level of the driver. The visual cues employed characterize Eyelid Movement, gaze Movement, head Movement, and facial expression. A probabilistic model is developed to model human fatigue and to predict fatigue based on the visual cues obtained. The simultaneous use of multiple visual cues and their systematic combination yields a much more robust and accurate fatigue characterization than using a single visual cue. This system was validated under real-life fatigue conditions with human subjects of different ethnic backgrounds, genders, and ages; with/without glasses; and under different illumination conditions. It was found to be reasonably robust, reliable, and accurate in fatigue characterization.
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real time eye gaze and face pose tracking for monitoring driver vigilance
Real-time Imaging, 2002Co-Authors: Qiang Ji, Xiaojie YangAbstract:This paper describes a real-time prototype computer vision system for monitoring driver vigilance. The main components of the system consists of a remotely located video CCD camera, a specially designed hardware system for real-time image acquisition and for controlling the illuminator and the alarm system, and various computer vision algorithms for simultaneously, real-time and non-intrusively monitoring various visual bio-behaviors that typically characterize a driver's level of vigilance. The visual behaviors include Eyelid Movement, face orientation, and gaze Movement (pupil Movement). The system was tested in a simulating environment with subjects of different ethnic backgrounds, different genders, ages, with/without glasses, and under different illumination conditions, and it was found very robust, reliable and accurate.
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real time visual cues extraction for monitoring driver vigilance
International Conference on Computer Vision Systems, 2001Co-Authors: Qiang Ji, Xiaojie YangAbstract:This paper describes a real-time prototype computer vision system for monitoring driver vigilance. The main components of the system consists of a specially-designed hardware system for real time image acquisition and for controlling the illuminator and the alarm system, and various computer vision algorithms for real time eye tracking, Eyelid Movement monitoring, face pose discrimination, and gaze estimation. Specific contributions include the development of an infrared illuminator to produce the desired bright/dark pupil effect, the development a digital circuitry to perform real time image subtraction, and the development of numerous real time computer vision algorithms for eye tracking, face orientation discrimination, and gaze tracking. The system was tested extensively in a simulating environment with subjects of different ethnic backgrounds, different genders, ages, with/without glasses, and under different illumination conditions, and it was found very robust, reliable and accurate.
