Facial expression recognition and subthalamic nucleus stimulation
نویسندگان
چکیده
منابع مشابه
Subthalamic nucleus stimulation affects orbitofrontal cortex in facial emotion recognition: a pet study
Deep brain stimulation (DBS) of the bilateral subthalamic nucleus (STN) in Parkinson's disease is thought to produce adverse events such as emotional disorders, and in a recent study, we found fear recognition to be impaired as a result. These changes have been attributed to disturbance of the STN's limbic territory and would appear to confirm that the negative emotion recognition network passe...
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Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملSubthalamic nucleus stimulation modulates thalamic neuronal activity.
Deep brain stimulation (DBS) in the subthalamic nucleus (STN) is an effective tool for the treatment of advanced Parkinson's disease. The mechanism by which STN DBS elicits its beneficial effect, however, remains unclear. We previously reported STN stimulation increased the rate and produced a more regular and periodic pattern of neuronal activity in the internal segment of the globus pallidus ...
متن کاملSubthalamic nucleus stimulation induces deficits in decoding emotional facial expressions in Parkinson's disease.
BACKGROUND Bilateral subthalamic nucleus (STN) stimulation is recognised as a treatment for parkinsonian patients with severe levodopa related motor complications. Although adverse effects are infrequent, some behavioural disturbances have been reported. OBJECTIVE To investigate the consequences of STN stimulation on emotional information processing in Parkinson's disease by assessing the per...
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Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
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ژورنال
عنوان ژورنال: Journal of Neurology, Neurosurgery & Psychiatry
سال: 2004
ISSN: 0022-3050
DOI: 10.1136/jnnp.2003.019794