Predictors of Technology Use: Evidence from Elite Older Adults.

Few studies have examined older, elite users of digital technology use. To address this gap, we examined predictors of novel technology use among this group. As hypothesized, several markers of successful aging predicted greater technology use in older elite users, including higher levels of cognition, socioeconomics, and self-efficacy.

Comparing Sensitivity, Specificity, and Accuracy of Fall Risk Assessments in Community-Dwelling Older Adults.

Purpose: The US Centers for Disease Control and Prevention (CDC) has implemented the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) initiative. This initiative provides an algorithm for fall risk screening. However, the algorithm has the potential to overcategorize individuals as high risk for falling upon initial screening, which may burden clinicians with the task of recategorizing individuals after follow-up testing.

Age-group differences in trust-related decision-making and learning.

Facial impressions contribute to evaluations of trustworthiness. Older adults are especially vulnerable to trust violations, incurring risks for deception and exploitation. Using the newly developed social Iowa Gambling Task (S-IGT), we examined age-group differences in the impact of facial trustworthiness on decision-making and learning.

Optimizing a Technology-Based Body and Mind Intervention to Prevent Falls and Reduce Health Disparities in Low-Income Populations: Protocol for a Clustered Randomized Controlled Trial.

Background: The lack of health care coverage, low education, low motivation, and inconvenience remain barriers to participating in fall prevention programs, especially among low-income older adults. Low-income status also contributes to negative aging self-perceptions and is associated with a high perceived barrier to care. Existing fall prevention intervention technologies do not enable participants and practitioners to interact and collaborate, even with technologies that bring viable strategies to maintain independence, prevent disability, and increase access to quality care.

Impact of amputation of the upper limb and prostheses on perceptions of competence, warmth, and functional abilities.

Purpose/objectives: This study investigated attitudes that young adults have toward individuals with amputation of the upper limb (AUL). Previous studies have found that people tend to feel sympathy toward these individuals, but they are also perceived as less competent in various situations. However, it is unclear if these perceptions are influenced by factors such as the cause of amputation, the gender of the amputee, whether they use a prosthesis or not, or the type of prosthesis.

Social cognitive neuroscience in the digital age.

Human interactions are increasingly taking place from a distance through methods of remote interpersonal communication like video chatting and social media. While remote interpersonal communication has existed for millennia-with the first postal system arising in ∼2400 B.C.

Primary Scientific Literature Is Not Just for Students and Academics: a Study of Primary Source Modalities and Predictors of Learning across Adulthood.

The 2019 coronavirus disease pandemic and distrust for popular media have highlighted the need for effective methods of direct communication of biomedical science to the public. It is presently unclear how well nonexperts can learn from primary scientific sources and what factors predict such learning in the general public. The present study examined three modalities for learning about biomedical science directly from study investigators: primary scientific articles, annotated primary scientific articles presented online with interactive learning features, and TEDTalks about scientific studies presented by a study investigator.

Facial Trustworthiness Perception Across the Adult Life Span.

Objectives: Trust is crucial for successful social interaction across the life span. Perceiver age, facial age, and facial emotion have been shown to influence trustworthiness perception, but the complex interplay between these perceiver and facial characteristics has not been examined.

Method: Adopting an adult life-span developmental approach, 199 adults (aged 22-78 years) rated the trustworthiness of faces that systematically varied in age (young, middle-aged, and older) and emotion (neutral, happy, sad, fearful, angry, and disgusted) from the FACES Lifespan Database.

Aging in an "infodemic": The role of analytical reasoning, affect, and news consumption frequency on news veracity detection.

Increasing misinformation spread poses a threat to older adults but there is little research on older adults within the fake news literature. Embedded in the Changes in Integration for Social Decisions in Aging (CISDA) model, this study examined the role of (a) analytical reasoning; (b) affect; (c) news consumption frequency, and their interplay with (d) news content on news veracity detection in aging. Conducted during the early phase of the COVID-19 pandemic, the present study asked participants to view and evaluate COVID or non-COVID (i.

Value network engagement and effects of memory-related processing during encoding and retrieval of value.

Decision makers rely on episodic memory to calculate choice values in everyday life, yet it is unclear how neural mechanisms of valuation differ when value-related information is encoded versus retrieved from episodic memory. The current fMRI study compared neural correlates of value while information was encoded versus retrieved from memory. Scanned tasks were followed by a behavioral episodic memory test for item-attribute associations.

Neural mechanisms of decision-making in aging.

The present review synthesizes findings on decision neuroscience and aging by focusing on decision processes that have been extensively studied in neuroeconomics and critically assessing the driving mechanisms of age-related change. The paper first highlights age-related changes to key brain structures that have been implicated in decision-making, then, reviews specific decision components and discusses investigations of age-related changes to their neural mechanisms. The review also weighs evidence for organic brain aging versus age-related changes to social and psychological factors in mediating age effects.

Reward Responsiveness and Inhibition Traits Differentially Predict Economic Biases in Gain and Loss Contexts.

Research on economic decision making has revealed specific biases in gain versus loss domains such that risky choice options are overvalued in gain conditions, implying optimism, but undervalued in loss conditions, implying pessimism. Individual differences in motivational traits and affective states have been shown to predict beliefs and behavior in risky decision making, but it is presently unclear which personal characteristics are most predictive of domain-specific biases. To address this gap in the literature, we investigated the relative influence of positive and negative motivational traits (general sensitivity to rewards and punishments) versus affective states (current levels of positive and negative emotions) on beliefs and choice behavior during a risky economic decision task.

Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.

Analysis of the human connectome using functional magnetic resonance imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to discover the neural underpinnings of human cognition and neurological disorders. In general, brain connectivity patterns from fMRI data are classified as statistical dependencies (functional connectivity) or causal interactions (effective connectivity) among various neural units. Computational methods, especially graph theory-based methods, have recently played a significant role in understanding brain connectivity architecture.

CISDA: Changes in Integration for Social Decisions in Aging.

The aging of our population has been accompanied by increasing concerns about older adults' vulnerability to violations of trust and a growing interest in normative age-related changes to decision making involving social partners. This intersection has spurred research on age-related neurocognitive and affective changes underlying social decision making. Based on our review and synthesis of this literature, we propose a specification that targets social decision making in aging to the recently proposed Affect-Integration-Motivation (AIM) framework.

Feedback-Based Learning in Aging: Contributions and Trajectories of Change in Striatal and Hippocampal Systems.

The striatum supports learning from immediate feedback by coding prediction errors (PEs), whereas the hippocampus (HC) plays a parallel role in learning from delayed feedback. Both regions show evidence of decline in human aging, but behavioral research suggests greater decline in HC versus striatal functions. The present study included male and female humans and used fMRI to examine younger and older adults' brain activation patterns during a learning task with choice feedback presented immediately or after a brief delay.

Functional compensation in the ventromedial prefrontal cortex improves memory-dependent decisions in older adults.

Everyday consumer choices frequently involve memory, as when we retrieve information about consumer products when making purchasing decisions. In this context, poor memory may affect decision quality, particularly in individuals with memory decline, such as older adults. However, age differences in choice behavior may be reduced if older adults can recruit additional neural resources that support task performance.

Risk preferences and aging: the "certainty effect" in older adults' decision making.

A prevalent stereotype is that people become less risk taking and more cautious as they get older. However, in laboratory studies, findings are mixed and often reveal no age differences. In the current series of experiments, we examined whether age differences in risk seeking are more likely to emerge when choices include a certain option (a sure gain or a sure loss).

Stress modulates reinforcement learning in younger and older adults.

Animal research and human neuroimaging studies indicate that stress increases dopamine levels in brain regions involved in reward processing, and stress also appears to increase the attractiveness of addictive drugs. The current study tested the hypothesis that stress increases reward salience, leading to more effective learning about positive than negative outcomes in a probabilistic selection task. Changes to dopamine pathways with age raise the question of whether stress effects on incentive-based learning differ by age.

Both Risk and Reward are Processed Differently in Decisions Made Under Stress.

Years of research show that stress influences cognition. Most of this research has focused on how stress affects memory and the hippocampus. However, stress impacts other regions involved in cognitive and emotional processing, including the prefrontal cortex, striatum, and insula.

Gender differences in reward-related decision processing under stress.

Recent research indicates gender differences in the impact of stress on decision behavior, but little is known about the brain mechanisms involved in these gender-specific stress effects. The current study used functional magnetic resonance imaging (fMRI) to determine whether induced stress resulted in gender-specific patterns of brain activation during a decision task involving monetary reward. Specifically, we manipulated physiological stress levels using a cold pressor task, prior to a risky decision making task.

Sex differences in how stress affects brain activity during face viewing.

Under stress, men tend to withdraw socially whereas women seek social support. This functional magnetic resonance imaging study indicates that stress also affects brain activity while viewing emotional faces differently for men and women. Fusiform face area response to faces was diminished by acute stress in men but increased by stress in women.

Acute stress increases sex differences in risk seeking in the balloon analogue risk task.

Background: Decisions involving risk often must be made under stressful circumstances. Research on behavioral and brain differences in stress responses suggest that stress might have different effects on risk taking in males and females.

Methodology/principal Findings: In this study, participants played a computer game designed to measure risk taking (the Balloon Analogue Risk Task) fifteen minutes after completing a stress challenge or control task.