Helen S. Mayberg

Single neurons in the human substantia nigra encode social learning signals

The paper records single neuron activity in the substantia nigra during social learning tasks and finds dopaminergic neurons encode norm prediction error valence more strongly during human vs computer interactions.

Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks

This study shows that deep brain stimulation remodels white matter and alters brain-wide functional connectivity in macaques, contributing to its therapeutic effects.

Dopamine and serotonin transients predict depressive symptom relief following deep brain stimulation of human subcallosal cingulate cortex

This paper shows that dopamine and serotonin changes during deep brain stimulation predict symptom relief in treatment-resistant depression.

Epigenomic embedding of childhood adversity links to disease risk and chronic immune changes

The paper identifies contmeQTLs linking childhood adversity to epigenetic changes in immune cells, which are associated with disease risk and inflammatory profiles.

Ephaptic coupling and power fluctuations in depression

The paper analyzes LFP data from the subcallosal cingulate cortex following DBS implantation to explore neural dynamics and introduces two new measures to assess brain power fluctuations in depression.

Longitudinal Changes in Cortical Response Dynamics with Deep Brain Stimulation to the Subcallosal Cingulate for Treatment-Resistant Depression

This study tracks changes in cortical response dynamics during SCC-DBS for treatment-resistant depression, finding reduced latency and increased magnitude of stimulation-evoked potentials over time.

Stress History Modulates CRF Neurons to Establish Resilience

The paper identifies a critical stress exposure period that drives neurophysiological changes in CRF neurons, leading to resilience in mice exposed to repeated social defeat stress.

A computational account of joint SSRI and anti-inflammatory treatment

The paper develops a computational model to explore how inflammation, serotonin levels, and brain activity interact, and how anti-inflammatory and antidepressant treatments affect depressive symptoms.

Intracranial substrates of meditation-induced neuromodulation in amygdala and hippocampus

The paper investigates meditation-induced neuromodulation in the amygdala and hippocampus using invasive electrophysiology recordings from epilepsy patients during loving-kindness meditation.

Association of Bile Acids with Connectivity of Executive Control and Default Mode Networks in Patients with Major Depression

The paper examines the association between bile acid levels and functional connectivity of the executive control and default mode networks in patients with major depression.

Neural Interoceptive Processing is Modulated by Deep Brain Stimulation for Treatment Resistant Depression

This study examines how deep brain stimulation affects interoceptive processing in treatment-resistant depression patients using EEG and HEP measurements.

Refining Brain Stimulation Therapies: An Active Learning Approach to Personalization

This paper develops an active learning framework to personalize brain stimulation therapies, showing it outperforms random sampling in efficiency and accuracy across in silico and in vivo experiments.

CRF neurons of the BNST promote resilience by blunting the internal experience of aversion.

This study shows BNSTovCRF neurons promote resilience by reducing the internal experience of aversion during stress.

Decoding Depression During Subcallosal Cingulate Deep Brain Stimulation

This study decodes depression symptoms using neural recordings from deep brain stimulation patients, finding oscillatory patterns predictive of depression severity.

Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature

The paper links indoxyl sulfate, a gut microbiome-derived metabolite, to anxiety symptoms and specific brain connectivity patterns in patients with depression.

Reservoir-based Tracking (TRAKR) For One-shot Classification Of Neural Time-series Patterns

TRAKR classifies neural time-series patterns with high accuracy using one-shot learning, outperforming distance metrics and matching deep supervised methods.

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

This study uses resting-state fMRI to analyze dynamic functional connectivity in major depressive disorder patients before and after ECT, finding that specific network states predict treatment response.

Alterations in Acylcarnitines, Amines, and Lipids Inform about Mechanism of Action of Citalopram/Escitalopram in Major Depression

The paper uses targeted metabolomics to analyze changes in acylcarnitines, amines, and lipids in response to citalopram/escitalopram treatment in MDD patients, identifying metabolic correlates of treatment response.

Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment

This study identifies metabolomic clusters associated with depressive symptom change and treatment response to CBT in MDD patients.