Nadja R. Ging-Jehli

Sustaining Control and Agency Under Threat: Computational Pathways to Persistence and Escape

Nadja R. Ging-Jehli, Russell K. Childers

Adaptive behavior requires deciding when to persist and when to disengage under uncertainty and partial outcome control. Avoidance has often been studied as a response to threat or cost, yet existing paradigms cannot disentangle whether disengagement reflects threat sensitivity, expected failure, or …

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A novel approach-avoidance task to study decision making under outcome uncertainty

Ziwei Cheng, Nadja R. Ging-Jehli, Maisy Tarlow, Joonhwa Kim et autres

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Model-Based Electroencephalography Phenotyping Uncovers Distinct Neurocomputational Mechanisms Underlying Learning Impairments Across Psychopathologies

Nadja R. Ging-Jehli, Rachel Rac-Lubashevsky, Krishn Bera, Megan A. Boudewyn et autres

Major depressive disorder (MDD), bipolar disorder (BP), and schizophrenia (SCZ) involve learning impairments with poorly understood mechanisms. Understanding both the similarities and differences in these mechanisms is important to guide the development of new, targeted interventions. 255 participants diagnosed with MDD (n=54), …

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Model-based EEG phenotyping uncovers distinct neurocomputational mechanisms underlying learning impairments across psychopathologies

Nadja R. Ging-Jehli, Rachel Rac-Lubashevsky, Krishn Bera, Alyssa Roberts et autres

Abstract Background Major depressive disorder (MDD), bipolar disorder (BP), and schizophrenia (SCZ) involve learning impairments with poorly understood mechanisms. Understanding both the similarities and differences in these mechanisms is important to guide the development of new, targeted interventions. Methods 255 participants diagnosed …

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Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability

Nadja R. Ging-Jehli, Russell K. Childers, Robert Gemma

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From symptom-based heterogeneity to mechanism-based profiling in youth ADHD: the promise of computational psychiatry

Nadja R. Ging-Jehli, Daniel S. Pine

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A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty

Ziwei Cheng, Nadja R. Ging-Jehli, Maisy Tarlow, Henry W. Chase et autres

To behave adaptively, people need to integrate information about probabilistic outcomes and balance drives to approach positive outcomes and avoid negative outcomes. However, questions remain about how uncertainty in positive and negative outcomes influence approach-avoid decision-making dynamics. To fill this gap, we …

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Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability

Nadja R. Ging-Jehli, Russ Childers, Joshua Lu, Robert Gemma

How do we learn when to persist, when to let go, and when to shift gears? Gearshift Fellowship (GF) is the prototype of a new Supertask paradigm designed to model how humans and artificial agents adapt to shifting environment demands. Grounded in …

Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability

Nadja R. Ging-Jehli, Russell K. Childers, Jiamei Lu, Robert Gemma et autres

How do we learn when to persist, when to let go, and when to shift gears? Gearshift Fellowship (GF) is the prototype of a new Supertask paradigm designed to model how humans and artificial agents adapt to shifting environment demands. Grounded in …

Theta-frequency subthalamic nucleus stimulation increases decision threshold

Rachel C. Cole, Nadja R. Ging-Jehli, Juan Vivanco‐Suarez, Jeremy D.W. Greenlee et autres

INTRODUCTION: Executive functions are often impaired in patients with Parkinson's disease (PD), and these deficits can be predicted by decreased frontal cortical 4-8 Hz theta activity that is associated with cognitive control. Previous work has shown that stimulating the subthalamic nucleus (STN) …

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Dissecting Neurocomputational Mechanisms of Impaired Instrumental Learning Across Psychopathologies Using Integrative Model-Based EEG Phenotyping

Nadja R. Ging-Jehli, Rachel Rac-Lubashevsky, Krishn Bera, Alyssa Zimmerman et autres

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Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty

Nadja R. Ging-Jehli, James F. Cavanagh, Minkyu Ahn, David J. Segar et autres

The basal ganglia (BG) play a key role in decision-making, preventing impulsive actions in some contexts while facilitating fast adaptations in others. The specific contributions of different BG structures to this nuanced behavior remain unclear, particularly under varying situations of noisy and …

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