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Despite the critical role that quantitative scientists play in biomedical research, graduate programs in quantitative fields often focus on technical and methodological skills, not on collaborative and leadership skills. In this study, we evaluate the importance of team science skills among collaborative biostatisticians for the purpose of identifying training opportunities to build a skilled workforce of quantitative team scientists.
Methods:
Our workgroup described 16 essential skills for collaborative biostatisticians. Collaborative biostatisticians were surveyed to assess the relative importance of these skills in their current work. The importance of each skill is summarized overall and compared across career stages, highest degrees earned, and job sectors.
Results:
Survey respondents were 343 collaborative biostatisticians spanning career stages (early: 24.2%, mid: 33.8%, late: 42.0%) and job sectors (academia: 69.4%, industry: 22.2%, government: 4.4%, self-employed: 4.1%). All 16 skills were rated as at least somewhat important by > 89.0% of respondents. Significant heterogeneity in importance by career stage and by highest degree earned was identified for several skills. Two skills (“regulatory requirements” and “databases, data sources, and data collection tools”) were more likely to be rated as absolutely essential by those working in industry (36.5%, 65.8%, respectively) than by those in academia (19.6%, 51.3%, respectively). Three additional skills were identified as important by survey respondents, for a total of 19 collaborative skills.
Conclusions:
We identified 19 team science skills that are important to the work of collaborative biostatisticians, laying the groundwork for enhancing graduate programs and establishing effective on-the-job training initiatives to meet workforce needs.
Executive attention is a brain network that includes the anterior cingulate cortex (ACC), the anterior insula and adjacent areas of the mid-prefrontal cortex and underlying striatum. In adult studies it is often activated by requiring a person to withhold a dominant response in order to perform a subdominant response (Posner & Rothbart, 2007a, 2007b). The ability to control our thoughts, feelings, and behavior develops over time and is called self-regulation. The self-regulatory view fits well with evidence of brain activation, functional and structural connectivity, and individual differences. Moreover, the self-regulatory view helps us understand how brain networks relate to important real-life functions and provides a perspective on how the shift takes place between infancy, where regulation is chiefly under the control of the caregiver, and later life, where self-control is increasingly important.
It is useful to consider three very general approaches to enhancing cognitive functions such as attention, memory, or problem solving (Tang & Posner, 2014). One is training a specific brain network by practice on a task that uses that network (Network Training). Attention and working memory have been two of the most widely used tasks for studying network training. Another approach to enhancement involves a change in brain state by use of physical exercise, meditation, drugs, or playing video games (Brain State). A third approach involves the use of external electrical or magnetic stimulation to activate or inhibit brain pathways (Brain Stimulation). Recently studies have examined these methods in combination (Daugherty et al., 2018; Ward et al., 2017). In this chapter we review examples of each approach designed to improve cognition, related criticisms, and opportunities for further research and application.
Temperament is linked to the structure and function of the nervous system and to the experience of the organism. When we measure the person’s readiness to anger, to seek reward, to focus and switch attention, etc., we are measuring temperament and these in turn are linked to brain networks. Hyperreactivity to an unexpected, novel or intense stimulus, is also a measure of temperament important in understanding the development of behavior problems in children and psychopathologies of stress and attention in adults (Rothbart, 2011; Zentner & Shiner, 2012). Studies of resting state MRI have allowed tracing humans brain changes from birth (Gao et al., 2016), allowing examination of the development of attention and other networks early in life. The advance of epigenetic studies (Meaney, 2010) has offered a framework for thinking about the how the environment and gene expression work in concert to produce the pattern of connectivity unique to the individual.
Methods to control the mind go back 2,500 years, but our understanding of the brain networks used for such control has developed only in the last 30 thirty years. This chapter reviews the behavioral and cognitive tasks developed within psychology that lie behind these advances. Studies of switching, cueing attention, and resolving conflict have illuminated the mechanisms of attention. The chapter also discusses general methods in psychology which that have influenced theories of attention such as: behaviorism, introspection, information processing, and cognitive science. Attention has been applied to understanding development, consciousness, and aspects of pathology. Tthis chapter also considers these applications of the study of attention.
Corporate accountability actions brought under the Alien Tort Statute (ATS) tend to be grounded more in hope than in expectation. While an effective publicity tool for highlighting allegations of corporate irresponsibility and a successful approach for gaining favorable settlements in a few high-profile cases, U.S. courts have generally been reluctant to use the ATS to hold global corporations accountable for their actions outside the United States.
I had a role in making it possible to visualize the working of the human brain while it is engaged in thought. The development of neuroimaging has made it possible to connect the abstract mental operations or computations studied by cognitive psychology with the brain areas studied by neuroscience and helped to establish cognitive neuroscience as a field within psychology. Here, I tell the history of how my role in visualizing the human brain came about.
Vernon Mountcastle was one of the pioneers of modern brain research. His work with animals showed that the basic functional unit of the brain was the cortical column. In 1978, I read a paper of his describing attention cells in the posterior part of the parietal cortex of alert monkeys. He suggested that these attention cells might be critically involved in orienting attention toward visual events. A Tuesday night meeting of our research group was assigned to read these papers. Our group had shown that reaction time to respond to a target was enhanced when a cue directed attention to the target location. We interpreted this to mean that attention had been oriented covertly to the location of the target, without any overt change in eye position or behavior. I asked the students whether the reaction time improvements were the results of the attention cells observed by Mountcastle. I thought that if the covert shifts of attention in humans could be connected with the monkey work, it might contribute to linking cognitive psychology to brain mechanisms. I don't think there was much enthusiasm for this idea at the time. After all, the slogan in cognitive psychology was that it was about software, and what did that have to do with the parts of the brain in which cells were found in the monkey?
In 1979, I met Oscar Marin, an outstanding behavioral neurologist, at a meeting in New York City. He was about to move to Portland, Oregon, to set up a clinical and research effort at Good Samaritan Hospital, and he invited me to set up a neuropsychology laboratory in conjunction with the hospital.
There are a number of meta-analyses that summarize the literatures for both benzodiazepines (BZs) and benzodiazepine receptor agonists and for cognitive behavioral therapy for insomnia (CBT-I). The DSM-IV differentiates between primary insomnia, in which the sleep disorder occurs as an isolated condition, and secondary insomnia, in which it occurs in the context of another disorder. In general there are three main types of therapy that can be employed, from a behavioral standpoint, to deal with chronic insomnia: stimulus control, sleep restriction, and sleep hygiene therapies. CBT techniques for insomnia can be challenging for both the client and the practitioner. Insomnia represents one of the more ubiquitous forms of sleep disturbance in psychiatric and medical disorders, and in its primary form. Unfortunately, despite its prevalence and associated negative sequelae, only a small fraction of patients seek out treatment or have access to behavioral sleep medicine specialists.
This volume explores how functional brain imaging techniques like positron emission tomography have influenced cognitive studies. The first chapter outlines efforts to relate human thought and cognition in terms of great books from the late 1800s through the present. Chapter 2 describes mental operations as they are measured in cognitive science studies. It develops a framework for relating mental operations to activity in nerve cells. In Chapter 3, the PET method is reviewed and studies are presented that use PET to map the striate cortex and to activate extrastriate motion, color, and form areas. Chapter 4 shows how top down processes involving attention can lead to activation of these same areas in the detection of targets, visual search, and visual imagery. This chapter reveals complex networks of activations. Chapters 5 and 6 deal with the presentation of words. Chapter 5 illustrates PET studies of the anatomy of visual word processing and shows how the circuitry used for generating novel uses of words changes as the task becomes automated. Chapter 6 applies high density electrical recording to explore these activations in real time and to show how a constant anatomy can be reprogrammed by task instructions to produce and perform different cognitive tasks. Chapter 7 shows how studies of brain lesions and PET converge on common networks underlying attentional functions such as visual orienting, target detection, and maintenance of the alert state. Chapters 8 and 9 apply the network approach to examine normal development of attention in infants and pathological conditions resulting from brain damage, and psychiatric pathologies of depression, schizophrenia, and attention deficit disorder. In Chapter 10, new developments such as functional MRI are discussed in terms of future developments and integration of cognitive neuroscience.
We divided the many diverse comments on our book into categories. These are: theory, scope and goals of our project, methods, comments on specific anatomical areas, the concept of attention, consciousness and cognitive control, and finally other issues. Although many of the points of the critics are certainly well taken, we believe studies that have emerged since our book provide strong evidence that the general approach taken in our book is now yielding important new data on the relation of cognitive processes to underlying brain activity.