Jackob Nimrod Keynan

This study investigates amygdala neuromodulation capacity through neurofeedback training and fMRI, finding increased capacity and its association with alexithymia improvement and network modulation.

This study examines the roles of negative and positive valence systems in PTSD development, finding that both systems contribute differently to symptom severity over time.

This study uses machine learning to analyze 608 participants and identifies two factors improving neurofeedback performance: pre-training no-feedback runs and training patients over healthy participants.

This study investigates whether pre-training brain activity can predict success in real-time fMRI neurofeedback learning across 24 studies and 401 participants, finding a weak correlation but no consistent predictors.

The paper identifies multi-domain neurocognitive biomarkers that differentiate PTSD severity subtypes in trauma survivors using a computational 3C method.

The paper investigates how hippocampal volume and Cavum Septum Pellucidum (CSP) volume interact to predict PTSD symptom severity and progression in trauma survivors.