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Soft neurological correlates of compulsive eaters.

Thirty patients with the syndrome of episodic compulsive eating (binge eaters) were given a neurophysiological evaluation which included a complete electroencephalogram (EEG) and a structured interview. The interview was designed to elicit 10 "neurological soft signs" (rage attacks, frequent headaches, dizziness, stomach aches, nausea, parethesias, history of convulsions, perceptual disturbances, other compulsions, and a family history of epilepsy). Afterwards, 23 patients received an adequate trial with phenytoin. The sum of the 10 neurological soft signs and the EEG (as an 11th sign) was significantly correlated with improvement. No single sign or other combination of signs was significantly a predictor of improvement. These results lend support to the thesis that in some episodic compulsive eaters, a neurophysiological substrate may be involved.

Adolescent↗

Sweets, chocolate, and atypical depressive traits.

An original questionnaire, the Foods and Moods Inventory (FMI) was used to investigate appetite for sweets and chocolate and its relationship to dysphoric mood. The FMI was administered to a group of subjects with an identified interest in chocolate (chocolate group, N = 73), a comparison sample (comparison group, N = 172), and a sample of former alcoholics (N = 22). Those who reported "self-medicating" with sweets or chocolate were more likely to have personality traits associated with hysteroid dysphoria, an atypical depressive syndrome. In addition, the tendency to eat compulsively, in general, and appetite for sweets and chocolate, in particular, were significantly greater among women.

Adult↗

Impulse control disorders and depression.

This study assessed the frequency of impulse control disorders (ICDs) and their association with bulimia, compulsive buying, and suicide attempts in a population of depressed inpatients. We investigated ICDs using the Minnesota Impulsive Disorders Interview. Patients answered the Zuckerman Sensation-Seeking Scale and the Barratt Impulsivity Rating Scale. Among the 31 depressed patients who met criteria for ICD (ICD+ group), we found 18 cases of intermittent explosive disorder, three cases of pathological gambling, four cases of kleptomania, three cases of pyromania, and three cases of trichotillomania. Patients with co-occurring ICDs were significantly younger (mean age = 37.7 versus 42.8 years). Patients with kleptomania had a higher number of previous depressive episodes (5.7 versus 1.3), and patients with pyromania had a higher number of previous depressions (3.3 versus 1.3, p =.01). Bipolar disorders were more frequent in the ICD+ group than in the ICD- group (19% versus 1.3%, p =.002), whereas antisocial personality was not (3% versus 1%, p = ns). Bulimia (42% versus 10.5%, p =.005) and compulsive buying (51% versus 22%, p =.006) were significantly more frequent in the ICD+ group. Patients from the ICD+ group had higher scores of motor impulsivity assessed with the Barratt Impulsivity rating scale (p =.01).

Adult↗

The psychiatrist's management of patients with undiagnosed brain neoplasm.

Of 679 patients with brain neoplasms admitted to either a medical school center or a community hospital during a nine-year period, 24 had been examined by a psychiatrist before definitive diagnosis of brain neoplasm. These 24 cases were studied to evaluate the role of the psychiatrist in the management of the patients before the neoplasm was diagnosed. Such cases pose many subtle problems for psychiatrists. However, ten of the 24 patients either were sent for definitive tests by the psychiatrist with the tentative diagnosis of brain neoplasm or were triaged to other consultants to pursue that diagnosis.

Adult↗

Pertinacious habit on a rehabilitation unit: repetitive finger licking while paging through the clinical chart.

A survey was performed to determine the frequency of unrecognized repetitive licking of fingers while reviewing hospital charts by various healthcare professionals who, by this habit, may be putting themselves at risk of acquiring a nosocomial infection. Nine of 14 charts demonstrated the presence of Staphylococci aureus, cultures obtained from three of nine charts grew methicillin-resistant S. aureus, and six grew methicillin-susceptible S. aureus. Of the 50 healthcare professionals surveyed, five (10%) admitted to habitual repetitive licking of fingers while reviewing charts. In addition, 30 (60%) of those surveyed had observed other professionals doing so. Forty-seven (94%) acknowledged that they did not routinely wash their hands after reviewing the charts, potentially placing themselves at risk of acquiring a nosocomial infection. As an immediate consequence of this study, staff members have been encouraged to wash their hands before and after reviewing a patient's chart.

Allied Health Personnel↗

Parameter learning from stochastic teachers and stochastic compulsive liars.

This paper considers a general learning problem akin to the field of learning automata (LA) in which the learning mechanism attempts to learn from a stochastic teacher or a stochastic compulsive liar. More specifically, unlike the traditional LA model in which LA attempts to learn the optimal action offered by the Environment (also here called the "Oracle"), this paper considers the problem of the learning mechanism (robot, an LA, or in general, an algorithm) attempting to learn a "parameter" within a closed interval. The problem is modeled as follows: The learning mechanism is trying to locate an unknown point on a real interval by interacting with a stochastic Environment through a series of informed guesses. For each guess, the Environment essentially informs the mechanism, possibly erroneously (i.e., with probability p), which way it should move to reach the unknown point. When the probability of a correct response is p > 0.5, the Environment is said to be informative, and thus the case of learning from a stochastic teacher. When this probability p < 0.5, the Environment is deemed deceptive, and is called a stochastic compulsive liar. This paper describes a novel learning strategy by which the unknown parameter can be learned in both environments. These results are the first reported results, which are applicable to the latter scenario. The most significant contribution of this paper is that the proposed scheme is shown to operate equally well, even when the learning mechanism is unaware of whether the Environment ("Oracle") is informative or deceptive. The learning strategy proposed herein, called CPL-AdS, partitions the search interval into d subintervals, evaluates the location of the unknown point with respect to these subintervals using fast-converging E-optimal LRI LA, and prunes the search space in each iteration by eliminating at least one partition. The CPL-AdS algorithm is shown to provably converge to the unknown point with an arbitrary degree of accuracy with probability as close to unity as desired. Comprehensive experimental results confirm the fast and accurate convergence of the search for a wide range of values for the Environment's feedback accuracy parameter p, and thus has numerous potential applications.

Algorithms↗

Obsessive-compulsive symptoms, white noise and intrusions of self-relevant negative thoughts in a thought suppression paradigm.

Forty female students participated in an experiment where they were asked to suppress a negative self-relevant thought. Half the group suppressed in a loud white noise condition (90 decibels) whereas the other half suppressed in a noise condition of much lower intensity (50 decibels). The subjects were divided up into two groups on the basis of their scores on the Obsessive Compulsive Thoughts Checklist (Bouvard, Cottraux, Mollard, Arthus, Lachance, Guerin, Sauteraud & Yao, 1997). It was predicted that 1) Subjects scoring high on obsessive-compulsive symptoms would show more intrusive thoughts 2) Loud noise would increase intrusive thoughts, especially for subjects scoring high on obsessive-compulsive symptoms. As expected subjects who scored high on obsessive-compulsive symptoms showed more intrusive thoughts, but contrary to expectations loud noise did not increase intrusive thoughts. In fact obsessive-compulsive symptoms were related to more intrusions in the condition of noise of less intensity but not in the condition of loud noise. Implications are discussed.

Adult↗