The psychosis of metabolic alkalosis

Metabolic alkalosis as an additional etiology for organic psychosis is presented and covered, with theoretical and clinical considerations, including treatment. Illustrative case histories are cited and certain parameters of acid-base equilibrium are described as favorable to the normal awake state, while substantial deviation towards metabolic alkalosis is seen as conducive to psychotic aberration.     

“'Cause You Can't Play This by Yourself”: Athletes' Perceptions of Team Influence on Their Precompetitive Psychological States

Although correlational studies indicate that team attributes are related to athletes' precompetitive psychological states, it is unknown how team members experience these relationships. The present study's purpose was to investigate athletes' perceptions of precompetitive team influence. Consequently, we worked from a constructivist realist position and used qualitative methods (interviews with competitive team-sport athletes). An inductive content analysis revealed that athletes perceived established and novel team characteristics and processes to influence their precompetitive psychological states. Athletes perceived these influences as both adaptive and maladaptive, and it appeared that they were qualified by contextual factors as well as intuitive regulatory attempts.     

Sensitivity to the prototype in children with high-functioning autism spectrum disorder: An example of Bayesian cognitive psychometrics

We present a case study of hierarchical Bayesian explanatory cognitive psychometrics, examining information processing characteristics of individuals with high-functioning autism spectrum disorder (HFASD). On the basis of previously published data, we compare the classification behavior of a group of children with HFASD with that of typically developing (TD) controls using a computational model of categorization. The parameters in the model reflect characteristics of information processing that are theoretically related to HFASD. Because we expect individual differences in the model’s parameters, as well as differences between HFASD and TD children, we use a hierarchical explanatory approach. A first analysis suggests that children with HFASD are less sensitive to the prototype. A second analysis, involving a mixture component, reveals that the computational model is not appropriate for a subgroup of participants, which implies parameter estimates are not informative for these children. Focusing only on the children for whom the prototype model is appropriate, no clear difference in sensitivity between HFASD and TD children is inferred.     

Biotechnologies that empower transgender persons to self-actualize as individuals,partners, spouses,and parents are defining new ways to conceive a child: psychological considerations and ethical issues

Today, thanks to biomedical technologies advances, some persons with fertility issues can conceive. Transgender persons benefit also from these advances and can not only actualize their self-identified sexual identities but also experience parenthood. Based on clinical multidisciplinary seminars that gathered child psychiatrists and psychoanalysts interested in the fields of assisted reproduction technology (ART) and gender dysphoria, philosophers interested in bioethics, biologists interested in ART, and endocrinologists interested in pubertal suppression, we explore how new biotechnical advances, whether in gender transition or procreation, could create new ways to conceive a child possible. After reviewing the various medical/surgical techniques for physical gender transition and the current ART options, we discuss how these new ways for persons to self-actualize and to experience parenthood can not only improve the condition of transgender persons (and the human condition as a whole through greater equity) but also introduce some elements of change in the habitual patterns of thinking especially in France. Finally, we discuss the ethical issues that accompany the arrival of these children and provide creative solutions to help society handle, accept, and support the advances made in this area.     

A formal ideal-based account of typicality

Inspired by Barsalou’s (Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 629–654, 1985) proposal that categories can be represented by ideals, we develop and test a computational model, the ideal dimension model (IDM). The IDM is tested in its account of the typicality gradient for 11 superordinate natural language concepts and, using Bayesian model evaluation, contrasted with a standard exemplar model and a central prototype model. The IDM is found to capture typicality better than do the exemplar model and the central tendency prototype model, in terms of both goodness of fit and generalizability. The present findings challenge the dominant view that exemplar representations are most successful and present compelling evidence that superordinate natural language categories can be represented using an abstract summary, in the form of ideal representations. Supplemental appendices for this article can be downloaded from .     

Application of operant conditioning procedures to the behaviour problems of an autistic child

An account is given of the treatment of a pre-school child who had serious behavioural and physical handicaps. In a sense this is a study involving both psychotherapy and rehabilitation. The treatment consisted of applying laboratory-developed techniques through the attendants and the parents over a seven-month period.     

Evidence that baroreflex feedback influences long-term incidental visual memory in men

Sympathetic nervous system (SNS) activity at the time of acquisition is associated with human memory. However, rather than SNS activity per se, it may be afferent baroreflex feedback that is responsible for this effect. A pharmacological design was employed to unload (SNP, sodium nitro-prusside) and load (norepinephrine) baroreceptors. In addition to two placebo periods, epinephrine and esmolol (a peripherally acting beta1-blocker) served as control conditions for altered cardiac perception. During drug infusion blood pressure, heart rate, and perception of heartbeat were tested. Twenty-four healthy men were participated. The participants viewed emotional slides while their electromyographic eye blink responses to random noise bursts were measured (affective startle modulation paradigm) to determine potential drug impact on emotional processing. Subjects were not informed that memory testing would take place after 4 weeks. Drugs did not impact startle, thus indicating unbiased emotional processing at the time of acquisition. Norepinephrine had no effect on heartbeat perception, but improved (p = .002) recognition memory. SNP (p = .0001) increased heartbeat perception but impaired (p = .038) recognition memory. Epinephrine, on the other hand, increased heartbeat perception (p = .0001) yet did not impair but partially improve memory (effect on high arousing pictures only: p = .05). Heartbeat perception in the placebo condition did not correlate with recognition memory (p's > .5). We suggest that baroreflex unloading, with subsequent feedback activation of the SNS, impairs long-term incidental visual recognition memory in humans while baroreflex loading enhances it. Further, we propose that these memory effects are neither secondary to cardiac sensations that accompany SNS activation nor to altered emotional picture processing at the time of acquisition.     

Stochastic cascade processes as a model of multi-stage concurrent information processing

McClelland's (Psychol. Rev. 86 (1979) 287) influential cascade model of reaction time (RT) is often seen as an important explicitly formulated alternative to strictly serial models because some of its basic notions fit in with known characteristics of neural activation processes. A disadvantage is that it is an essentially deterministic model to which noise is added by across-trials parameter variability that is unrelated to the concept of cascaded activation propagation per se. We propose and analyze a general stochastic cascade model based on neural counting processes; within this framework we present a new process-oriented interpretation of McClelland's cascade activation equation. We then theoretically explain and numerically explore conditions under which the stochastic cascade model predicts additive vs. interactive mean RT effects, and compare them to known properties of McClelland's model. Some of these properties remain valid even within a stochastic neural counting formulation, while others reflect assumptions which are essentially unrelated to the concept of cascaded activation.