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[Transcranial magnetic stimulation. Applications in cognitive neuroscience].

OBJECTIVE: In this review we trace some of the mayor developments in the use of transcranial magnetic stimulation (TMS) as a technique for the investigation of cognitive neuroscience. Technical aspects of the magnetic stimulation are also reviewed. DEVELOPMENT: Among the many methods now available for studying activity of the human brain, magnetic stimulation is the only technique that allows us to interfere actively with human brain function. At the same time it provides a high degree of spatial and temporal resolution. Standard TMS applications (central motor conduction time, threshold and amplitude of motor evoked potentials) allow the evaluation of the motor conduction in the central nervous system and more complex TMS applications (paired pulse stimulation, silent period) permit study the mechanisms of diseases causing changes in the excitability of cortical areas. These techniques also allow investigation into motor disorder, epilepsy, cognitive function and psychiatric disorders. CONCLUSIONS: Transcranial magnetic stimulation applications have an important place among the investigative tools to study cognitive functions and neurological and psychiatric disorders. Even so, despite the many published research and clinical studies, a systematic study about the possible diagnostic value and role in neurocognitive rehabilitation of TMS testing need to be realized to offer new possibilities of future applications.

Cognitive Science↗

Cognitive human factors for telemedicine systems.

The recent integration of telephony systems with information and communication technology (ICT) enables the development of innovative tools for telemedicine. The dissemination and widespread acceptance of telephone-based care monitoring systems challenge the researcher to deal with the cognitive factors involved in the patient-physician interaction, and the way they should be to shape up the technological solutions. This paper proposes a model that describes the impact of socio-cognitive factors in the complex process of health care management. The model has been used to design and develop a telephone system for the management of hypertensive patient within the EU funded Homey project. The knowledge existed in a widely accepted guideline for the care of hypertension has been represented and augmented through the proposed cognitive model. The final product is an intelligent system able to manage an adaptive dialogue. It monitors patients' adherence and increases their involvement by promoting self-care through frequent virtual visits, which is complementary to the traditional face-to-face encounters with their primary care physicians.

Artificial Intelligence↗

A framework of interruptions in distributed team environments.

In this study, we developed a framework for the study of interruptions in distributed team environments from the perspectives of distributed cognition and activity theory. The core of this framework is the Action Coding System (ACS) that provides a language for the description, representation, categorization, and analysis of interruptions at the level of activities that are meaningful for team performance. We demonstrated the practical utility and theoretical significance of ACS in an its application to a real-world, complex, dynamic, and mission critical environment--the Biomedical Engineer (BME) console in the Mission Control Center at NASA's Johnson Space Center. We discussed the potentials of our framework for the design of interruption management systems that could potentially eliminate some interruptions by information redesign, delegate others to autonomous agents, and help human agents to better manage the rest.

Anthropology, Cultural↗

Cognitive evaluation of an innovative psychiatric clinical knowledge enhancement system.

Psychiatric Clinical Knowledge Enhancement System (PSYCKES) is an innovative information system that presents patient medication history in tabular and graphical form. The system is designed to support therapeutic decision making. In this paper, we present a multifaceted cognitive evaluation of this system. The evaluation includes a cognitive walkthrough which is a task-analytic method for usability evaluation. We also conducted cognitive studies of two trainee and two attending psychiatrists using the system. One of the attending subjects is presented as a case study. An objective of this research is to characterize the way PSYCKES mediates reasoning. The study found that clinicians were able to use the system effectively to extract and coordinate information and draw appropriate inferences. The expert clinicians were better able to construct a coherent patient representation. The study also documented a few usability problems pertaining to the temporal integration of patient data. PSYCKES is a multifaceted tool that can significantly enhance therapeutic decision making.

Cognitive Science↗

Cognitive theories and the design of e-learning environments.

Cognitive development refers to a mental process by which knowledge is acquired, stored, and retrieved to solve problems. Therefore, cognitive developmental theories attempt to explain cognitive activities that contribute to students' intellectual development and their capacity to learn and solve problems. Cognitive developmental research has had a great impact on the constructivism movement in education and educational technology. In order to appreciate how cognitive developmental theories have contributed to the design, process and development of constructive e-learning environments, we shall first present Piaget's cognitive theory and derive an inquiry training model from it that will support a constructivism approach to teaching and learning. Second, we will discuss an example developed by NASA that used the Web as an appropriate instructional delivery medium to apply Piaget's cognitive theory to create e-learning environments.

Cognitive Science↗

What's on your mind?

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Beginning of Human Life↗

Memory retrieval tasks determine the serial position curves of linear orders with categorical structures.

I examined 2 different views on organization of linear order information in memory: the linear schema view and the hierarchical structure view. The linear schema view holds that there is a strong tendency in memory to organize an array of transitively related elements into a unidimensional order. The hierarchical structure view maintains that the transitively related elements are organized in memory in a hierarchy of items. I proposed an input structure and retrieval compatibility hypothesis as a coherent explanation for the contradictory views on the memory organization of serial elements. I argue that the organization of linear order information in memory is determined by the nature of the memory retrieval task used. For example, a comparative judgment task is more compatible with a unidimensional structure, whereas a sequential recall or serial position identification task is more compatible with a hierarchical organization. The input structure and retrieval compatibility concept can also explain why dichotomous categories imposed on a linear order play very little role in comparative judgments.

Analysis of Variance↗

No child left without a brain scan? Toward a pediatric neuroethics.

Brain research is yielding new information about the development of cognitive and behavioral traits in children--and how development can go off track. This is information parents, teachers, and others will use to help with problems from dyslexia to drug abuse. But with this information, often technical, come many questions. Will knowledge from brain scans be used to label children early in life? How will confidentiality be maintained as diverse providers, some of them commercial, compete for patients? Should government pay for scanning all children to identify not only potential problems but also extraordinary potential? These are questions about values and mutual responsibilities in neuroscience--the domain of neuroethics. The authors consider what an ethical framework for applying the fruits of neuroscience to children--a pediatric neuroethics--might look like.

Adolescent↗

Exploring dangerous neighborhoods: latent semantic analysis and computing beyond the bounds of the familiar.

Certain applications require computer systems to approximate intended human meaning. This is achievable in constrained domains with a finite number of concepts. Areas such as psychiatry, however, draw on concepts from the world-at-large. A knowledge structure with broad scope is required to comprehend such domains. Latent Semantic Analysis (LSA) is an unsupervised corpus-based statistical method that derives quantitative estimates of the similarity between words and documents from their contextual usage statistics. The aim of this research was to evaluate the ability of LSA to derive meaningful associations between concepts relevant to the assessment of dangerousness in psychiatry. An expert reference model of dangerousness was used to guide the construction of a relevant corpus. Derived associations between words in the corpus were evaluated qualitatively. A similarity-based scoring function was used to assign dangerousness categories to discharge summaries. LSA was shown to derive intuitive relationships between concepts and correlated significantly better than random with human categorization of psychiatric discharge summaries according to dangerousness. The use of LSA to derive a simulated knowledge structure can extend the scope of computer systems beyond the boundaries of constrained conceptual domains.

Artificial Intelligence↗

Designing a tracking system based on cognitive theory of error.

We will present an application for tracking research samples that has been designed based upon prior research in cognitive theories on error that has been applied successfully to fields such as aviation and anesthesiology. By anticipating where the errors are likely to occur in the human-computer interaction and workflow, we hope to reduce number of errors and minimize the effects of inevitable errors.

Biomedical Research↗

The intersection of patient safety and nursing research.

The individual and collective discussions of the patient safety issue in the United States have mounted from a low roar to a deafening din in the past 10 years. In this chapter the authors (1) discuss the context of patient safety over the past decade and the federal response to the problem, (2) briefly present Reason's theory of human error, which frames much of the safety research, and (3) provide a glossary of terms.

Benchmarking↗