Talma Hendler

Music-to-My-Brain: Modulation of Reward System Activity via Musical Neurofeedback

This study develops a musical neurofeedback approach to enable self-regulation of ventral striatal activity, showing improved reward system modulation and behavioral relevance.

Generalizable Neural Models of Emotional Engagement and Disengagement

The paper identifies generalizable neural patterns of emotional engagement and disengagement using fMRI and predictive modeling across two studies.

The Analgesic and Dissociative Properties of Ketamine are Separate and Correspond to Distinct Neural Mechanisms

This study investigates whether ketamine's analgesic and dissociative effects are mediated by distinct neural mechanisms and finds they are independent.

Amygdala Self-Neuromodulation Capacity as a Window for Process-Related Network Recruitment

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

Development and validation of an fMRI-informed EEG model of reward-related ventral striatum activation

The paper develops and validates an fMRI-informed EEG model to predict reward-related ventral striatum activation using spectro-temporal EEG features.

Physically active lifestyle is associated with attenuation of hippocampal dysfunction in healthy older adults

This study finds that physically active older adults show reduced hippocampal activation and better memory performance compared to non-active individuals.

Mother Brain is Wired for Social Moments

The paper investigates how maternal brain activity responds to social moments during caregiving, identifying four processes linked to oxytocin and social behavior.

Differential Roles of Positive and Negative Valence Systems in the Development of Post-Traumatic Stress Psychopathology

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.

Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis

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.

Can we predict real-time fMRI neurofeedback learning success from pre-training brain activity?

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.

Potential Neurocognitive Biomarkers for Post Traumatic Stress Disorder (PTSD) Severity in Recent Trauma Survivors

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

Neuroanatomical Risk Factors for Post Traumatic Stress Disorder (PTSD) in Recent Trauma Survivors

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

Transfer learning of deep neural network representations for fMRI decoding

This paper transfers deep neural network features to fMRI data to improve decoding performance by reconstructing CNN features from imaging data.

Sleepless and Desynchronized: Impaired Inter Trial Phase Coherence of Steady-State Potentials Following Sleep Deprivation

This study shows that sleep deprivation reduces inter trial phase coherence (ITPC) of steady-state visual evoked potentials, linking it to impaired cognitive performance.

Context of psychotropic drug delivery modulates its neurobehavioral effects: the case of methylphenidate

This study tests a novel drug delivery approach that couples drug administration with a cognitive task to enhance therapeutic effects of methylphenidate.