Zafiris Jeff Daskalakis

Objective Quality Assessment for Precision Functional MRI Data

The paper introduces NSI, an objective measure to assess data quality for precision functional MRI, aligning with expert evaluations and enabling principled decisions on data sufficiency.

Proximity to an SGC-DLPFC Individualized Functional Target and outcomes in large rTMS clinical trials for Treatment-Resistant Depression

This study evaluates the relationship between proximity to individualized functional targets (iFTs) and clinical outcomes in rTMS trials for treatment-resistant depression, finding no association between proximity and improved outcomes.

Excitation-Inhibition Balance and Fronto-Limbic Connectivity Drive TMS Treatment Outcomes in Refractory Depression

This study identifies neurophysiological signatures predicting response to TMS in treatment-resistant depression using combined EEG and computational modeling.

Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures

The paper maps stimulus-response patterns in the human cortex using TMS-EEG and relates them to whole-brain neuroimaging measures from a single densely-sampled individual.

Dimensional and Categorical Solutions to Parsing Depression Heterogeneity in a Large Single-Site Sample

The paper develops and evaluates dimensional and categorical approaches to identify depression subtypes using brain-behavior dimensions and clustering in a large single-site sample of MDD patients and controls.

Expansion of a frontostriatal salience network in individuals with depression

The paper identifies a two-fold expansion of the frontostriatal salience network in individuals with depression using longitudinal neuroimaging data and shows its stability over time and predictive value for future symptoms.

Targeting the pathological network: feasibility of network-based optimization of transcranial magnetic stimulation coil placement for treatment of psychiatric disorders

This study proposes and validates a network-based model for optimizing TMS coil placement in psychiatric disorders by targeting disease-specific brain networks.

Moving Beyond the Mean: Subgroups and dimensions of brain activity and cognitive performance across domains

The paper analyzes brain activity variability across cognitive tasks using hierarchical clustering and dimensionality reduction, finding that individual differences are best represented multidimensionally.

The Importance of Individual Beliefs in Assessing Treatment Efficacy: Insights from Neurostimulation Studies

This paper shows that individual beliefs about receiving active or placebo treatment better explain outcome variability than the actual treatment in neurostimulation studies.