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1.
J Affect Disord ; 351: 818-826, 2024 Apr 15.
Article in English | MEDLINE | ID: mdl-38290579

ABSTRACT

BACKGROUND: Despite broad recognition of the central role of avoidance in anxiety, a lack of specificity in its operationalization has hindered progress in understanding this clinically significant construct. The current study uses a multimodal approach to investigate how specific measures of avoidance relate to neural reactivity to threat in youth with anxiety disorders. METHODS: Children with anxiety disorders (ages 6-12 years; n = 65 for primary analyses) completed laboratory task- and clinician-based measures of avoidance, as well as a functional magnetic resonance imaging task probing neural reactivity to threat. Primary analyses examined the ventral anterior insula (vAI), amygdala, and ventromedial prefrontal cortex (vmPFC). RESULTS: Significant but distinct patterns of association with task- versus clinician-based measures of avoidance emerged. Clinician-rated avoidance was negatively associated with right and left vAI reactivity to threat, whereas laboratory-based avoidance was positively associated with right vAI reactivity to threat. Moreover, left vAI-right amygdala and bilateral vmPFC-right amygdala functional connectivity were negatively associated with clinician-rated avoidance but not laboratory-based avoidance. LIMITATIONS: These results should be considered in the context of the restricted range of our treatment-seeking sample, which limits the ability to draw conclusions about these associations across children with a broader range of symptomatology. In addition, the limited racial and ethnic diversity of our sample may limit the generalizability of findings. CONCLUSION: These findings mark an important step towards bridging neural findings and behavioral patterns using a multimodal approach. Advancing understanding of behavioral avoidance in pediatric anxiety may guide future treatment optimization by identifying individual-specific targets for treatment.


Subject(s)
Anxiety Disorders , Anxiety , Adolescent , Humans , Child , Anxiety/diagnostic imaging , Anxiety Disorders/diagnostic imaging , Prefrontal Cortex/diagnostic imaging , Amygdala/diagnostic imaging , Magnetic Resonance Imaging , Brain Mapping
2.
Dev Sci ; 27(3): e13461, 2024 May.
Article in English | MEDLINE | ID: mdl-38054265

ABSTRACT

Attention to emotional signals conveyed by others is critical for gleaning information about potential social partners and the larger social context. Children appear to detect social threats (e.g., angry faces) faster than non-threatening social signals (e.g., neutral faces). However, methods that rely on behavioral responses alone are limited in identifying different attentional processes involved in threat detection or responding. To address this question, we used a visual search paradigm to assess behavioral (i.e., reaction time to select a target image) and attentional (i.e., eye-tracking fixations, saccadic shifts, and dwell time) responses in children (ages 7-10 years old, N = 42) and adults (ages 18-23 years old, N = 46). In doing so, we compared behavioral responding and attentional detection and engagement with threatening (i.e., angry and fearful faces) and non-threatening (i.e., happy faces) social signals. Overall, children and adults were faster to detect social threats (i.e., angry faces), but spent a smaller proportion of time dwelling on them and had slower behavioral responses. Findings underscore the importance of combining different measures to parse differences between processing versus responding to social signals across development. RESEARCH HIGHLIGHTS: Children and adults are slower to select angry faces when measured by time to mouse-click but faster to detect angry faces when measured by time to first eye fixation. The use of eye-tracking addresses some limitations of prior visual search tasks with children that rely on behavioral responses alone. Results suggest shorter time to first fixation, but subsequently, shorter duration of dwell on social threat in children and adults.


Subject(s)
Anger , Emotions , Adult , Child , Humans , Adolescent , Young Adult , Anger/physiology , Emotions/physiology , Fear , Fixation, Ocular , Saccades , Reaction Time/physiology , Facial Expression
3.
Personal Disord ; 12(5): 437-447, 2021 09.
Article in English | MEDLINE | ID: mdl-32584095

ABSTRACT

Psychopathy is characterized by affective and interpersonal deficits, deviant lifestyle, and antisocial behaviors. Much research has been dedicated to understanding the impairments in reinforcement learning, fear conditioning, and sensitivity to threat, distress, or fear in others, which are thought to underpin psychopathic traits. Fewer studies have examined deficits in affiliative processes, which could provide insight into mechanisms giving rise to the impairments in social bonding, closeness with others, and cooperation that also characterize individuals high on psychopathy. The current study examined whether reduced sensitivity to affiliation was related to psychopathic traits among 407 adults from the community (female, 59%). Sensitivity to affiliation was modeled as a latent construct capturing item-level variance shared across 4 measures that assessed sensitivity to emotional and physical cues of affiliation, including stimuli presented as videos or images, and via self-report ratings about sensitivity to positive affiliative and affective cues. Results indicated that lower sensitivity to affiliation was related to higher total psychopathy scores. In particular, in models parsing the overlap of psychopathy factor and facet scores, lower sensitivity to affiliation was uniquely related to higher Factor 1 and affective facet scores, as well as higher scores on a measure of callous-unemotional traits. Our findings provide support for the existence of important socioaffiliative and motivational deficits that may underpin the affective features of psychopathy and speak to the potential to target such mechanisms in interventions and treatments to reduce psychopathic traits. (PsycInfo Database Record (c) 2021 APA, all rights reserved).


Subject(s)
Antisocial Personality Disorder , Conduct Disorder , Adult , Emotions , Fear , Female , Humans , Phenotype
4.
Acad Med ; 83(12): 1179-86, 2008 Dec.
Article in English | MEDLINE | ID: mdl-19202496

ABSTRACT

PURPOSE: In many academic medical centers (AMCs), health information technology (HIT) has become a foundational component of patient care. Medical training in these environments generates dependence on HIT. The authors conducted this study to determine how transitioning from an HIT-rich environment affects practitioners' self-perceptions of competence, practice efficiency, and patient safety. METHOD: In 2004 and 2005, the authors performed a cross-sectional survey study involving medical students and residents who had graduated from Vanderbilt University Medical Center (VUMC), an HIT-rich AMC. The authors distributed surveys to 679 graduates from 2001 to 2003 who transferred to other institutions. RESULTS: Although 128 surveys were returned undelivered because of wrong addresses, 328 (60%) were returned complete and analyzed. Among respondents, 255 (78%) reported transitioning to environments with less HIT than VUMC. The authors compared responses from this group with those of peers who transitioned to environments with the same or greater HIT penetration. After controlling for confounding effects, the authors found that graduates who transitioned to lower-HIT institutions reported feeling less able to practice safe patient care (P = .02), to utilize evidence at the point of care (P = .05), to work efficiently (P < .001), to share and communicate information (P = .03), and to work effectively within the local system (P = .007). CONCLUSIONS: Providers who transition away from HIT-rich environments may perceive their care as less safe and less efficient. These results support greater adoption of HIT and underscore the need for formal education for new trainees, faculty, and staff transitioning to a new system of care.


Subject(s)
Academic Medical Centers/organization & administration , Education, Medical/statistics & numerical data , Medical Informatics , Physicians/statistics & numerical data , Quality of Health Care/standards , Schools, Medical/organization & administration , Students, Medical/statistics & numerical data , Adult , Biomedical Technology/organization & administration , Cross-Sectional Studies , Female , Humans , Internship and Residency/statistics & numerical data , Male , Medical Informatics/trends , Surveys and Questionnaires , Tennessee
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