Publications by authors named "Melody M Moore"

The relationship between adiposity and cardiovascular disease morbidity and mortality is complex. One pathway through which adiposity may influence future health outcomes is by altering how biological systems respond to stress. The current study aimed to examine the association between two metrics of adiposity (body mass index and waist-hip ratio) and two indices of cardiovascular stress responses (reactivity and habituation).

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  • Research on mixed emotions is growing but disorganized, with various psychological subfields operating separately, leading to a fragmented literature.
  • The article offers an overview of existing research, addressing why there’s a lack of integration both within individual fields and across disciplines.
  • Authors introduce a framework for studying mixed emotions, emphasizing the significance of assessing both state and trait emotions and recommend methodological approaches to enhance research, ultimately aiming for a more cohesive understanding of mixed emotions.
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Despite decades of study, it remains unclear how emotional contexts influence memory for non-emotional information. In two studies, we previously found memory accuracy for neutral information encoded in an emotional context differed by valence. Specifically, neutral images encoded in a negative context were remembered with similar accuracy as those encoded in a non-emotional context, and neutral images encoded in a positive context were remembered with less accuracy than a non-emotional context.

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  • The study investigates how social anhedonia (SocAnh) affects people's expectations and experiences of emotions during social interactions.
  • Participants forecasted their positive and negative emotions before and after a sharing task with peers.
  • Results indicated that while both SocAnh individuals and controls predicted similar levels of positive emotions, SocAnh individuals anticipated and experienced more negative emotions, suggesting that negative affect may contribute to their decreased motivation for social engagement.
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Evidence suggests that individuals with schizophrenia (SZ) report anticipatory pleasure deficits compared to controls and that these deficits are linked to decreased motivation to engage socially. However, these deficits have been identified via self-report measures of hypothetical pleasant stimuli, leaving it unclear whether they exist in reference to actual social situations. To address this issue, we created a live social interaction that minimized the reliance of higher-order cognitive processes.

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Schizotypy, a multidimensional personality organization that reflects liability to develop schizophrenia-spectrum disorders, has been associated with a number of emotional abnormalities. Yet, the exact nature of any emotional abnormalities in schizotypy is relatively unclear. Using an ethnically diverse nonclinical sample (N = 2637), the present study identified homogenous clusters of individuals based on positive and negative schizotypy dimensions and explored three interrelated domains of emotion traits closely tied to functional outcomes and quality of life: affective experience, emotional awareness, and meta-level emotions.

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  • Individuals with psychotic disorders showed a significant reduction in early error-related negativity (ERN), indicating substantial impairments in performance monitoring compared to healthy controls.
  • Those at heightened risk for psychotic disorders also displayed a moderate reduction in ERN, suggesting some vulnerability in this group as well.
  • Later performance monitoring (Pe) and basic feedback processing (FN) did not show significant differences between those with psychosis and controls, indicating these aspects may remain intact.
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Both extreme levels of social anhedonia (SocAnh) and extreme levels of perceptual aberration/magical ideation (PerMag) indicate increased risk for schizophrenia-spectrum disorders and are associated with emotional deficits. For SocAnh, there is evidence of self-reported decreased trait positive affect and abnormalities in emotional attention. For PerMag, there is evidence of increased trait negative affect and increased attention to negative emotion.

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  • Researchers developed a system that uses human cortical signals to control two assistive tech devices: a virtual keyboard speller and a computer-simulated finger.
  • The technology captures local field potentials via an implanted neurotrophic electrode and wirelessly transmits these signals to a computer that converts them into movements for a cursor or a cyber digit.
  • The report highlights the progress of two patients as they learn to effectively use these neuro-prosthetic devices for their needs.
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The mission of the Georgia State University BrainLab is to create and adapt methods of human-computer interaction that will allow brain-computer interface (BCI) technologies to effectively control real-world applications. Most of the existing BCI applications were designed largely for training and demonstration purposes. Our goal is to research ways of transitioning BCI control skills learned in training to real-world scenarios.

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  • The paper discusses a 2002 meeting on Brain-Computer Interfaces (BCIs) held in Rensselaerville, NY, focusing on current advancements and future directions in the field, involving 92 researchers from various countries.
  • BCIs use brain activity, such as EEG or single-neuron signals, to enable users to control devices like cursors or neuroprosthetics, relying on a translation algorithm to interpret brain signals into commands.
  • To enhance the speed and accuracy of BCIs, improvements are needed in technology and user training, necessitating collaboration among diverse fields and a focus on user needs to develop practical applications.
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