Oral contraceptive pill use and menstrual cycle phase are associated with altered resting state functional connectivity.

At rest, brain activity can be characterized not by an absence of organized activity but instead by spatially and temporally correlated patterns of activity. In this experiment, we investigated whether and to what extent resting state functional connectivity is modulated by sex hormones in women, both across the menstrual cycle and when altered by oral contraceptive pills. Sex hormones have been shown to have important effects on task-related activity, but few studies have investigated the extent to which they can influence the behavior of functional networks at rest. These hormones are dramatically altered by the use of hormonal contraception, which is used by approximately 100 million women worldwide. However, potential cognitive side effects of hormonal contraception have been given little attention. Here, we collected resting state data for naturally-cycling women (n=45) and women using combined oral contraceptive pills (n=46) and evaluated the differences in resting state activity between these two groups using independent component analysis. We found that in the default mode network and in a network associated with executive control, resting state dynamics were altered both by the menstrual cycle and by oral contraceptive use. Specifically, the connectivity of the left angular gyrus, the left middle frontal gyrus, and the anterior cingulate cortex were different between groups. Because the anterior cingulate cortex and left middle frontal gyrus are important for higher-order cognitive and emotional processing, including conflict monitoring, changes in the relationship of these structures to the functional networks with which they interact may have important consequences for attention, affect, and/or emotion regulation.

Why DON'T We "Say Her Name"? An Intersectional Model of the Invisibility of Police Violence Against Black Women and Girls.

Racialized police violence is a profound form of systemic oppression affecting Black Americans, yet the narratives surrounding police brutality have disproportionately centered on Black men and boys, overshadowing the victimization of Black women and girls. In 2014, the #SayHerName campaign emerged to bring attention to the often-overlooked instances of police brutality against Black women and girls, including incidents of both nonsexual and sexual violence. Despite these efforts, mainstream discourse and psychological scholarship on police violence continue to marginalize the experiences of Black women and girls. This raises a critical question: Why DON'T we "Say Her Name"? This article employs intersectional frameworks to demonstrate how the historic and systemic factors that render Black women and girls particularly vulnerable to police violence also deny their legitimacy as victims, perpetuate their invisibility, and increase their susceptibility to state-sanctioned violence. We extend models of intersectional invisibility by arguing that ideologies related to age, in addition to racial and gender identities, contribute to their marginalization. Finally, we reflect on how psychological researchers can play a pivotal role in dismantling the invisibility of Black women and girls through scientific efforts and advocacy.

Seeing no pain: Assessing the generalizability of racial bias in pain perception.

Racial disparities in pain care may stem, in part, from perceptual roots. It remains unresolved, however, whether this perceptual gap is driven by general deficits in intergroup emotion recognition, endorsement of specific racial stereotypes, or an interaction between the two. We conducted four experiments (total N = 635) assessing relationships between biases in pain perception and treatment and biases in the perception of anger, happiness, fear, and sadness. Participants saw Black and White male targets making increasingly painful and angry (Experiment 1), happy (Experiment 2), fearful (Experiment 3), or sad expressions (Experiment 4). The effect of target race consistently varied based on the emotion displayed. Participants repeatedly saw pain more readily on White (vs. Black) male faces. However, while participants also saw sadness less readily on Black faces, perception of anger, fear, and happiness did not vary by target race. Moreover, the tendency to see pain less readily on Black faces predicted similar differences in recognizing (particularly negative) expressions, though only racial bias in pain perception facilitated similar biases in treatment. Finally, while endorsement of racialized threat stereotypes facilitated recognition of angry expressions and was marginally associated with impeded recognition of happy expressions on Black faces, gaps in pain perception were not reliably related to stereotype endorsement. These data suggest that while racial bias in pain perception is associated with a general bias in recognizing negative emotion on Black male faces, the effects of target race on pain perception are particularly robust and have distinct consequences for gaps in treatment. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Delaware Pain Database: a set of painful expressions and corresponding norming data.

INTRODUCTION: Facial expressions of pain serve an essential social function by communicating suffering and soliciting aid. Accurate visual perception of painful expressions is critical because the misperception of pain signals can have serious clinical and social consequences. Therefore, it is essential that researchers have access to high-quality, diverse databases of painful expressions to better understand accuracy and bias in pain perception. OBJECTIVES: This article describes the development of a large-scale face stimulus database focusing on expressions of pain. METHODS: We collected and normed a database of images of models posing painful facial expressions. We also characterized these stimuli in terms of the presence of a series of pain-relevant facial action units. In addition to our primary database of posed expressions, we provide a separate database of computer-rendered expressions of pain that may be applied to any neutral face photograph. RESULTS: The resulting database comprises 229 unique (and now publicly available) painful expressions. To the best of our knowledge, there are no existing databases of this size, quality, or diversity in terms of race, gender, and expression intensity. We provide evidence for the reliability of expressions and evaluations of pain within these stimuli, as well as a full characterization of this set along dimensions relevant to pain such as perceived status, strength, and dominance. Moreover, our second database complements the primary set in terms of experimental control and precision. CONCLUSION: These stimuli will facilitate reproducible research in both experimental and clinical domains into the mechanisms supporting accuracy and bias in pain perception and care.