Nadja R. Ging-Jehli Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Visiting Scientist

John Brown University

faculty

nadja@gingjehli.com

7 h-index 37 pubs 154 cited

Is this your profile? Verify and claim your profile

Biography and Research Information

OverviewAI-generated summary

Dr. Nadja Ging-Jehli is a visiting scientist at John Brown University whose research focuses on neurological disorders, particularly Attention Deficit Hyperactivity Disorder (ADHD). Employing functional brain connectivity studies, EEG, and brain-computer interfaces, she investigates the neural and behavioral psychology of these conditions. Her work incorporates computational modeling and neurocognitive testing to identify cognitive signatures of various affective states and symptoms. Recent studies have characterized cognitive components underlying ADHD presentations and explored the efficacy of neurofeedback treatments, with an emphasis on personalized medicine approaches using computational psychiatry. Ging-Jehli's research also examines the computational roles of basal ganglia components in decision-making under conflict and uncertainty.

Metrics

  • h-index: 7
  • Publications: 37
  • Citations: 154

Selected Publications

  • Model-based EEG phenotyping uncovers distinct neurocomputational mechanisms underlying learning impairments across psychopathologies (2025) DOI
  • A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty (2025) DOI
  • <span><span>Generosity Across Contexts</span></span><span></span> (2025) DOI
  • Theta-Frequency Subthalamic Nucleus Stimulation Boosts Decision Threshold (2024) DOI
  • Altered Stress-Related Approach-Avoidance Decision Making in Remitted Depression: Neural and Computational Effects From a Back-Translated Non-Human Primate Task (2024) DOI
  • 13.3 Cognitive Role of EEG Theta/Beta-Ratio for Behavior: Accounting for ADHD Heterogeneity (2023) DOI

Collaborators

Researchers in the database who share publications

Similar Researchers

Based on overlapping research topics