Rachel L. Weisenburger

ORCID: 0000-0002-3277-1657
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Mental Health Research Topics
  • Functional Brain Connectivity Studies
  • Digital Mental Health Interventions
  • Suicide and Self-Harm Studies
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Mental Health via Writing
  • Cognitive Abilities and Testing
  • Cardiac Health and Mental Health
  • Child and Adolescent Psychosocial and Emotional Development
  • Perfectionism, Procrastination, Anxiety Studies
  • Neuroendocrine regulation and behavior
  • Stress Responses and Cortisol
  • Psychological and Temporal Perspectives Research
  • Tryptophan and brain disorders
  • Health disparities and outcomes
  • Mind wandering and attention

Texas Research Institute
2023-2024

The University of Texas at Austin
2023-2024

Georgetown University
2023

Georgetown University Medical Center
2023

National University of Singapore
2023

Stanford University
2020-2021

This article provides an overview of the study protocol for Teen Inflammation Glutamate Emotion Research (TIGER) project, a longitudinal in which we plan to recruit 60 depressed adolescents (ages 13-18 years) and 30 psychiatrically healthy controls order examine inflammatory glutamatergic pathways that contribute recurrence depression adolescents. TIGER is first effects peripheral inflammation on neurodevelopmental trajectories by assessing changes cortical glutamate Here, describe...

10.3389/fnhum.2020.585512 article EN cc-by Frontiers in Human Neuroscience 2020-10-19

Background Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the potentially lethal consequences of SI, it important identify neurobiological and psychosocial variables explaining severity SI in adolescents. Methods In 106 participants (59 female) recruited from community, we assessed characteristics obtained resting‐state fMRI data early (baseline: aged 9–13 years). Across 250 brain regions, local graph theory‐based properties...

10.1111/jcpp.13512 article EN Journal of Child Psychology and Psychiatry 2021-08-27

Cognitive theories of depression assert that negative self-referent cognition has a causal role in the development and maintenance symptoms, but few studies have examined temporal associations between these constructs using intensive, longitudinal sampling strategies. In three samples undergraduate students, we change processing across 5 daily assessments (Sample 1, N = 303, 1,194 measurements, 79% adherence), 7 2, 313, 1,784 81% weekly 3; 155, 833 adherence). Random intercept cross-lagged...

10.31234/osf.io/3tn4c preprint EN 2023-09-29

Cognitive theories of depression assert that negative self-referent cognition has a causal role in the development and maintenance symptoms, but few studies have examined temporal associations between these constructs using intensive, longitudinal sampling strategies. In three samples undergraduate students, we change processing across 5 daily assessments (Sample 1,

10.1080/02699931.2024.2400298 article EN Cognition & Emotion 2024-09-12

This manuscript has been published at the Journal of Affective Disorders: https://doi.org/10.1016/j.jad.2024.01.212.Background: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses interview questions may offer an effective, efficient alternative other methods.Objective: The primary aim was use a demographically diverse sample validate AI model, previously trained...

10.31234/osf.io/btz6n preprint EN 2023-09-01

Abstract Background Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the consequences of SI, it important identify neurobiological and psychological predictors SI in adolescents order improve strategies prevent suicide. Methods In 109 participants (61 female), we assessed characteristics obtained resting-state fMRI data early (ages 9-13). Using graph theoretical methods, local network properties across 250 brain regions by computing measures...

10.1101/2020.11.11.20230144 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-11-15
Coming Soon ...