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1.
Psychiatry Res ; 175(1-2): 181-3, 2010 Jan 30.
Article in English | MEDLINE | ID: mdl-19963276

ABSTRACT

This study examined anticipatory and consummatory pleasure in schizophrenia patients with and without negative symptoms. Negative symptom patients experienced less anticipatory pleasure than non-negative symptom patients; only one facet of consummatory pleasure was unaffected in negative schizophrenia. Greater pleasure deficits were correlated with more severe positive and negative symptoms.


Subject(s)
Cross-Cultural Comparison , Pleasure/physiology , Schizophrenia/diagnosis , Schizophrenic Psychology , Set, Psychology , Activities of Daily Living/psychology , Adult , Female , Humans , Male , Neuropsychological Tests , Psychiatric Status Rating Scales , Reproducibility of Results , Schizophrenia/drug therapy , Young Adult
2.
IEEE Trans Biomed Eng ; 49(6): 565-73, 2002 Jun.
Article in English | MEDLINE | ID: mdl-12046702

ABSTRACT

It is common that epileptic seizures induce uncoordinated movement in a patient's body. This movement is a relevant clinical factor in seizure identification. Nevertheless, quantification of this information has not been an object of much attention from the scientific community. In this paper, we present our effort in developing a new approach to the quantification of movement patterns in patients during epileptic seizures. We attach markers at landmark points of a patient's body and use a camera and a commercial video-electroencephalogram (EEG) system to synchronously register EEG and video during seizures. Then, we apply image-processing techniques to analyze the video frames and extract the trajectories of those points that represent the course of the quantified movement of different body parts. This information may help clinicians in seizure classification. We describe the framework of our system and a method of analyzing video in order to achieve the proposed goal. Our experimental results show that our method can reflect quantified motion patterns of epileptic seizures, which cannot be accessed by means of traditional visual inspection of video recordings. We were able, for the first time, to quantify the movement of different parts of a convulsive human body in the course of an epileptic seizure. This result represents an enhanced value to clinicians in studying seizures for reaching a diagnosis.


Subject(s)
Electroencephalography/instrumentation , Electroencephalography/methods , Epilepsy/physiopathology , Movement/physiology , Videodisc Recording/methods , Algorithms , Epilepsy, Generalized/diagnosis , Humans , Models, Biological , Signal Processing, Computer-Assisted
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